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Junyan Lu, Bingbo Gao, Guoqing Li, Jianxi Huang, Lianchong Zhang, Jiayue Wang, Dehai Zhu & Xiaochuang Yao. (2024) Impacts of the 20-year war on crop planting and food security in Afghanistan. International Journal of Digital Earth 17:1.
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Suat Şahin & Çiğdem Erol. (2024) Prediction of Secondary School Students’ Academic Achievements with Machine Learning Methods and a Sample System. Cybernetics and Systems 55:4, pages 940-960.
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Olufisayo Adedokun, Temitope Egbelakin & Temitope Omotayo. (2024) Random forest and path diagram taxonomies of risks influencing higher education construction projects. International Journal of Construction Management 24:1, pages 66-74.
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Charmaine Cruz, Jerome O’Connell, Kevin McGuinness, James R. Martin, Philip M. Perrin & John Connolly. (2023) Assessing the effectiveness of UAV data for accurate coastal dune habitat mapping. European Journal of Remote Sensing 56:1.
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Jingwei Hou, Chen Yang, Yonghong He & Bo Hou. (2023) Detecting diseases in apple tree leaves using FPN–ISResNet–Faster RCNN. European Journal of Remote Sensing 56:1.
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Yashon O. Ouma, Amantle Keitsile, Boipuso Nkwae, Phillimon Odirile, Ditiro Moalafhi & Jiaguo Qi. (2023) Urban land-use classification using machine learning classifiers: comparative evaluation and post-classification multi-feature fusion approach. European Journal of Remote Sensing 56:1.
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Mohamed Saber, Tayeb Boulmaiz, Mawloud Guermoui, Karim I. Abdrabo, Sameh A. Kantoush, Tetsuya Sumi, Hamouda Boutaghane, Tomoharu Hori, Doan Van Binh, Binh Quang Nguyen, Thao T. P. Bui, Ngoc Duong Vo, Emad Habib & Emad Mabrouk. (2023) Enhancing flood risk assessment through integration of ensemble learning approaches and physical-based hydrological modeling. Geomatics, Natural Hazards and Risk 14:1.
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Mirjana Radulović, Sanja Brdar, Branislav Pejak, Predrag Lugonja, Ioannis Athanasiadis, Nina Pajević, Dragoslav Pavić & Vladimir Crnojević. (2023) Machine learning-based detection of irrigation in Vojvodina (Serbia) using Sentinel-2 data. GIScience & Remote Sensing 60:1.
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Ying Quan, Mingze Li, Yuanshuo Hao, Jianyang Liu & Bin Wang. (2023) Tree species classification in a typical natural secondary forest using UAV-borne LiDAR and hyperspectral data. GIScience & Remote Sensing 60:1.
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Yi-fan Li, Zhang-hua Xu, Zhen-bang Hao, Xiong Yao, Qi Zhang, Xu-ying Huang, Bin Li, An-qi He, Zeng-lu Li & Xiao-yu Guo. (2023) A comparative study of the performances of joint RFE with machine learning algorithms for extracting Moso bamboo (Phyllostachys pubescens) forest based on UAV hyperspectral images. Geocarto International 38:1.
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Suchen Xu, Wu Xiao, Linlin Ruan, Wenqi Chen & Jingnan Du. (2023) Assessment of ensemble learning for object-based land cover mapping using multi-temporal Sentinel-1/2 images. Geocarto International 38:1.
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Mahlatse Kganyago, Clement Adjorlolo, Mbulisi Sibanda, Paidamwoyo Mhangara, Giovanni Laneve & Thomas Alexandridis. (2023) Testing Sentinel-2 spectral configurations for estimating relevant crop biophysical and biochemical parameters for precision agriculture using tree-based and kernel-based algorithms. Geocarto International 38:1, pages 1-25.
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Arvind Kumar Gautam & Abhishek Bansal. (2023) Email-Based Cyberstalking Detection On Textual Data Using Multi-Model Soft Voting Technique Of Machine Learning Approach. Journal of Computer Information Systems 63:6, pages 1362-1381.
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Ying Liang, Shisong Cao, Mingyi Du, Linlin Lu, Jie Jiang, Jinling Quan & Meizi Yang. (2023) Local climate zone mapping using remote sensing: a synergetic use of daytime multi-view Ziyuan-3 stereo imageries and Luojia-1 nighttime light data. International Journal of Digital Earth 16:1, pages 3456-3488.
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Xuewen Wang, Xianmin Wang, Xinlong Zhang, Lizhe Wang, Haixiang Guo & Dongdong Li. (2023) Near real-time spatial prediction of earthquake-induced landslides: A novel interpretable self-supervised learning method. International Journal of Digital Earth 16:1, pages 1885-1906.
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Anju Prabha, Jyoti Yadav, Asha Rani & Vijander Singh. (2023) Respiratory Effort Signal Based Sleep Apnea Detection System Using Improved Random Forest Classifier. IETE Journal of Research 69:9, pages 6326-6339.
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Rajneesh Kumar Patel & Manish Kashyap. (2023) Machine learning- based lung disease diagnosis from CT images using Gabor features in Littlewood Paley empirical wavelet transform (LPEWT) and LLE. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 11:5, pages 1762-1776.
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Shuo Shi, Fangfang Qu, Wei Gong, Zhongqiu Sun, Zixi Shi, Lu Xu & Bowen Chen. (2023) Precise land cover classification in complex scene based on ultra-hyperspectral data from AisaIBIS sensor. International Journal of Remote Sensing 44:17, pages 5420-5447.
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Arif Cagdas Aydinoglu & Suleyman Sisman. (2023) Comparing modelling performance and evaluating differences of feature importance on defined geographical appraisal zones for mass real estate appraisal. Spatial Economic Analysis 0:0, pages 1-25.
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Tannistha Pal, Mritunjoy Halder & Sattwik Barua. (2023) A deep learning model to detect foggy images for vision enhancement. The Imaging Science Journal 71:6, pages 484-498.
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Larry Niño, Alexis Jaramillo, Víctor Villamizar & Orlando Rangel. (2023) Geomorphology, Land-Use, and Hemeroby of Foothills in Colombian Orinoquia: Classification and Correlation at a Regional Scale. Papers in Applied Geography 9:3, pages 295-314.
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Eric Ariel L. Salas & Sakthi Subburayalu Kumaran. (2023) Perimeter-Area Soil Carbon Index (PASCI): modeling and estimating soil organic carbon using relevant explicatory waveband variables in machine learning environment. Geo-spatial Information Science 0:0, pages 1-8.
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Emre Avuçlu. (2023) Determining the most accurate machine learning algorithms for medical diagnosis using the monk’ problems database and statistical measurements. Journal of Experimental & Theoretical Artificial Intelligence 0:0, pages 1-20.
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Jiachen Xu, Junlin Guo, James Zimmer-Dauphinee, Quan Liu, Yuxuan Shi, Zuhayr Asad, D. Mitchell Wilkes, Parker VanValkenburgh, Steven A. Wernke & Yuankai Huo. (2023) Semi-supervised contrastive learning for remote sensing: identifying ancient urbanization in the south-central Andes. International Journal of Remote Sensing 44:6, pages 1922-1938.
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Alexander Brenning. (2023) Spatial machine-learning model diagnostics: a model-agnostic distance-based approach. International Journal of Geographical Information Science 37:3, pages 584-606.
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Larissa Macedo dos Santos-Tonial, Marcos Schimit Colla, Jéssica Bassetto Carra, Marciéli Fabris & Vanderlei Aparecido de Lima. (2023) Classification and Total Carbon Determination of the Soils Using RGB Digital Images Combined with Machine Learning. Communications in Soil Science and Plant Analysis 54:2, pages 141-153.
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Yaron Ogen, Michael Denk, Cornelia Glaesser & Holger Eichstaedt. (2022) A novel method for predicting the geochemical composition of tailings with laboratory field and hyperspectral airborne data using a regression and classification-based approach. European Journal of Remote Sensing 55:1, pages 453-470.
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Noman Raza Shah, Abdur Rahman M. Maud, Farrukh Aziz Bhatti, Muhammad Khizer Ali, Khurram Khurshid, Moazam Maqsood & Muhammad Amin. (2022) Hyperspectral anomaly detection: a performance comparison of existing techniques. International Journal of Digital Earth 15:1, pages 2078-2125.
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Mubasher Hussain, Najia Saher & Salman Qadri. (2022) Computer Vision Approach for Liver Tumor Classification Using CT Dataset. Applied Artificial Intelligence 36:1.
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Yantao Xi, Abdallah M. Mohamed Taha, Anqi Hu & Xianbin Liu. (2022) Accuracy comparison of various remote sensing data in lithological classification based on random forest algorithm. Geocarto International 37:26, pages 14451-14479.
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Mchasisi Gasela, Mahlatse Kganyago & Gerhard De Jager. (2022) Testing the utility of the resampled nSight-2 spectral configurations in discriminating wetland plant species using Random Forest classifier. Geocarto International 37:26, pages 11830-11845.
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Mohamed Saber, Tayeb Boulmaiz, Mawloud Guermoui, Karim I. Abdrabo, Sameh A. Kantoush, Tetsuya Sumi, Hamouda Boutaghane, Daisuke Nohara & Emad Mabrouk. (2022) Examining LightGBM and CatBoost models for wadi flash flood susceptibility prediction. Geocarto International 37:25, pages 7462-7487.
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Mbulisi Sibanda, Nokwanda Gumede & Onisimo Mutanga. (2022) Estimating leaf area index of the Yellowwood tree (Podocarpus spp.) in an indigenous Southern African Forest, using Sentinel 2 Multispectral Instrument data and the Random Forest regression ensemble. Geocarto International 37:23, pages 6953-6974.
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Xiaoyu Zhang, Jia Chen, Yang Wu, Liang Tang & Xianzhang Ling. (2022) Predicting the Maximum Seismic Response of the Soil-Pile-Superstructure System Using Random Forests. Journal of Earthquake Engineering 26:15, pages 8120-8141.
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Ozlem Akar & Esra Tunc Gormus. (2022) Land use/land cover mapping from airborne hyperspectral images with machine learning algorithms and contextual information. Geocarto International 37:22, pages 6643-6670.
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Naveen Kumar, Hare Krishna, Shashi Shubham & Prabhu Padarbind Rout. (2022) Automated categorization of student's query. International Journal of Computers and Applications 44:11, pages 1056-1064.
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Qasim Khan, Muhammad Usman Liaqat & Mohamed Mostafa Mohamed. (2022) A comparative assessment of modeling groundwater vulnerability using DRASTIC method from GIS and a novel classification method using machine learning classifiers. Geocarto International 37:20, pages 5832-5850.
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Chandan Kumar, Snehamoy Chatterjee, Thomas Oommen, Arindam Guha & Abhijeet Mukherjee. (2022) Multi-sensor datasets-based optimal integration of spectral, textural, and morphological characteristics of rocks for lithological classification using machine learning models. Geocarto International 37:20, pages 6004-6032.
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Cheng-Yu Tsai, Wen-Te Liu, Yin-Tzu Lin, Shang-Yang Lin, Robert Houghton, Wen-Hua Hsu, Dean Wu, Hsin-Chien Lee, Cheng-Jung Wu, Lok Yee Joyce Li, Shin-Mei Hsu, Chen-Chen Lo, Kang Lo, You-Rong Chen, Feng-Ching Lin & Arnab Majumdar. (2022) Machine learning approaches for screening the risk of obstructive sleep apnea in the Taiwan population based on body profile. Informatics for Health and Social Care 47:4, pages 373-388.
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Vineela Nandam & P. L. Patel. (2022) A novel hybrid approach using SVM and spectral indices for enhanced land use land cover mapping of coastal urban plains. Geocarto International 37:16, pages 4714-4736.
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Alireza Arabameri, Subodh Chandra Pal, Fatemeh Rezaie, Rabin Chakrabortty, Asish Saha, Thomas Blaschke, Mariano Di Napoli, Omid Ghorbanzadeh & Phuong Thao Thi Ngo. (2022) Decision tree based ensemble machine learning approaches for landslide susceptibility mapping. Geocarto International 37:16, pages 4594-4627.
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Ozlem Akar & Esra Tunc Gormus. (2022) Land use/land cover mapping from airborne hyperspectral images with machine learning algorithms and contextual information. Geocarto International 37:14, pages 3963-3990.
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Jinyao Lin, Shuyi Luo & Yiqin Huang. (2022) Poverty estimation at the county level by combining LuoJia1-01 nighttime light data and points of interest. Geocarto International 37:12, pages 3590-3606.
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Dhritiman Adhya, Soumesh Chatterjee & Ajoy Kumar Chakraborty. (2022) Stacking ensemble based fault diagnosis approach for improved operation of photovoltaic arrays. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44:2, pages 5421-5439.
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Ömer Ekmekcioğlu, Eyyup Ensar Başakın & Mehmet Özger. (2022) Tree-based nonlinear ensemble technique to predict energy dissipation in stepped spillways. European Journal of Environmental and Civil Engineering 26:8, pages 3547-3565.
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Sorasak Khoomboon, Teerasit Kasetkasem & Preesan Rakwatin. (2022) A land cover mapping algorithm for thin to medium cloud-covered remote sensing images using a level set method. International Journal of Remote Sensing 43:10, pages 3803-3842.
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Wanwan Yu, Ping Zhao, Kaijian Xu, Yuejiao Zhao, Pengju Shen & Jingjing Ma. (2022) Evaluation of red-edge features for identifying subtropical tree species based on Sentinel-2 and Gaofen-6 time series. International Journal of Remote Sensing 43:8, pages 3003-3027.
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Shashikant Rangnathrao Kale & Raghunath Sambhaji Holambe. (2022) Proposed Methods for Enhancement in Land Use Land Cover (LULC) Identification Using Various Existing and Novel Band Arithmetic Approaches. Papers in Applied Geography 8:2, pages 125-145.
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Abdelaziz Htitiou, Abdelghani Boudhar, Youssef Lebrini, Rachid Hadria, Hayat Lionboui & Tarik Benabdelouahab. (2022) A comparative analysis of different phenological information retrieved from Sentinel-2 time series images to improve crop classification: a machine learning approach. Geocarto International 37:5, pages 1426-1449.
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Xiaodan Wu, Zeyu Sui, Chao-Hsien Chu & Guanjie Huang. (2022) Automatic atrial fibrillation detection from short ECG signals: A hybrid deep learning approach. IISE Transactions on Healthcare Systems Engineering 12:1, pages 1-19.
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Efosa G. Adagbasa, Samuel A. Adelabu & Tom W. Okello. (2022) Application of deep learning with stratified K-fold for vegetation species discrimation in a protected mountainous region using Sentinel-2 image. Geocarto International 37:1, pages 142-162.
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Zahra Assarkhaniki, Soheil Sabri & Abbas Rajabifard. (2021) Using open data to detect the structure and pattern of informal settlements: an outset to support inclusive SDGs’ achievement. Big Earth Data 5:4, pages 497-526.
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Rashmi Saini & Sanjay Kumar Ghosh. (2021) Crop classification in a heterogeneous agricultural environment using ensemble classifiers and single-date Sentinel-2A imagery. Geocarto International 36:19, pages 2141-2159.
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Alex Okiemute Onojeghuo, Ajoke Ruth Onojeghuo, Michelle Cotton, Johnathan Potter & Brennan Jones. (2021) Wetland mapping with multi-temporal sentinel-1 & -2 imagery (2017 – 2020) and LiDAR data in the grassland natural region of alberta. GIScience & Remote Sensing 58:7, pages 999-1021.
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Yonatan Tarazona, Alaitz Zabala, Xavier Pons, Antoni Broquetas, Jakub Nowosad & Hamdi A. Zurqani. (2021) Fusing Landsat and SAR Data for Mapping Tropical Deforestation through Machine Learning Classification and the PVts-β Non-Seasonal Detection Approach. Canadian Journal of Remote Sensing 47:5, pages 677-696.
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Nam Thang Ha, Merilyn Manley-Harris, Tien Dat Pham & Ian Hawes. (2021) The use of radar and optical satellite imagery combined with advanced machine learning and metaheuristic optimization techniques to detect and quantify above ground biomass of intertidal seagrass in a New Zealand estuary. International Journal of Remote Sensing 42:12, pages 4712-4738.
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Prem Chandra Pandey, Nikos Koutsias, George P. Petropoulos, Prashant K. Srivastava & Eyal Ben Dor. (2021) Land use/land cover in view of earth observation: data sources, input dimensions, and classifiers—a review of the state of the art. Geocarto International 36:9, pages 957-988.
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Lei Xu & Ailong Ma. (2021) Coarse-to-fine waterlogging probability assessment based on remote sensing image and social media data. Geo-spatial Information Science 24:2, pages 279-301.
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Achala Shakya, Mantosh Biswas & Mahesh Pal. (2021) Parametric study of convolutional neural network based remote sensing image classification. International Journal of Remote Sensing 42:7, pages 2663-2685.
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Shouji Du, Shihong Du, Bo Liu & Xiuyuan Zhang. (2021) Incorporating DeepLabv3+ and object-based image analysis for semantic segmentation of very high resolution remote sensing images. International Journal of Digital Earth 14:3, pages 357-378.
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Peter Q. Lee, Keerthijan Radhakrishnan, David A. Clausi, K. Andrea Scott, Linlin Xu & Marianne Marcoux. (2021) Beluga whale detection in the Cumberland Sound Bay using convolutional neural networks. Canadian Journal of Remote Sensing 47:2, pages 276-294.
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Kabir Peerbhay, Onisimo Mutanga, Romano Lottering, Na’eem Agjee & Riyad Ismail. (2021) Improving the unsupervised mapping of riparian bugweed in commercial forest plantations using hyperspectral data and LiDAR. Geocarto International 36:4, pages 465-480.
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Stefanos Georganos, Tais Grippa, Assane Niang Gadiaga, Catherine Linard, Moritz Lennert, Sabine Vanhuysse, Nicholus Mboga, Eléonore Wolff & Stamatis Kalogirou. (2021) Geographical random forests: a spatial extension of the random forest algorithm to address spatial heterogeneity in remote sensing and population modelling. Geocarto International 36:2, pages 121-136.
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Rongjun Qin & Armin Gruen. (2021) The role of machine intelligence in photogrammetric 3D modeling – an overview and perspectives. International Journal of Digital Earth 14:1, pages 15-31.
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Wengang Zhang, Chongzhi Wu, Yongqin Li, Lin Wang & P. Samui. (2021) Assessment of pile drivability using random forest regression and multivariate adaptive regression splines. Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 15:1, pages 27-40.
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Nfamara K. Dampha. (2021) Change detection (1985-2020): Projections on land-use land cover, carbon storage, sequestration, and valuation in Southwestern Gambia. Sustainable Environment 7:1.
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Rizwan Ahmed Ansari, Krishna Mohan Buddhiraju & Avik Bhattacharya. (2020) Textural classification of remotely sensed images using multiresolution techniques. Geocarto International 35:14, pages 1580-1602.
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Min Xia, Namei Tian, Yonghong Zhang, Yiqing Xu & Xu Zhang. (2020) Dilated multi-scale cascade forest for satellite image classification. International Journal of Remote Sensing 41:20, pages 7779-7800.
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Sérgio Moro. (2020) Guest satisfaction in East and West: evidence from online reviews of the influence of cultural origin in two major gambling cities, Las Vegas and Macau. Tourism Recreation Research 45:4, pages 539-548.
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Re-Yang Lee, Kuo-Chen Chang, Deng-Yuan Ou & Chia-Hui Hsu. (2020) Evaluation of crop mapping on fragmented and complex slope farmlands through random forest and object-oriented analysis using unmanned aerial vehicles. Geocarto International 35:12, pages 1293-1310.
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David Forsey, Armand LaRocque, Brigitte Leblon, Marc Skinner & Angela Douglas. (2020) Refinements in Eelgrass Mapping at Tabusintac Bay (New Brunswick, Canada): A Comparison between Random Forest and the Maximum Likelihood Classifier . Canadian Journal of Remote Sensing 46:5, pages 640-659.
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Rajeev Bhattarai, Parinaz Rahimzadeh-Bajgiran, Aaron Weiskittel & David A. MacLean. (2020) Sentinel-2 based prediction of spruce budworm defoliation using red-edge spectral vegetation indices. Remote Sensing Letters 11:8, pages 777-786.
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Auther Maviza & Fethi Ahmed. (2020) Analysis of past and future multi-temporal land use and land cover changes in the semi-arid Upper-Mzingwane sub-catchment in the Matabeleland south province of Zimbabwe. International Journal of Remote Sensing 41:14, pages 5206-5227.
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Yaoliang Chen, Shuai Zhao, Zhuli Xie, Dengsheng Lu & Erxue Chen. (2020) Mapping multiple tree species classes using a hierarchical procedure with optimized node variables and thresholds based on high spatial resolution satellite data. GIScience & Remote Sensing 57:4, pages 526-542.
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Kai Liu, Shudong Wang, Xueke Li, Yao Li, Bo Zhang & Ruiting Zhai. (2020) The assessment of different vegetation indices for spatial disaggregating of thermal imagery over the humid agricultural region. International Journal of Remote Sensing 41:5, pages 1907-1926.
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Kayode A. Adepoju & Samuel A. Adelabu. (2020) Improving accuracy of Landsat-8 OLI classification using image composite and multisource data with Google Earth Engine. Remote Sensing Letters 11:2, pages 107-116.
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Simbarashe Jombo, Elhadi Adam, Marcus J. Byrne & Solomon W. Newete. (2020) Evaluating the capability of Worldview-2 imagery for mapping alien tree species in a heterogeneous urban environment. Cogent Social Sciences 6:1.
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Michael W. Burnett, Timothy D. White, Douglas J. McCauley, Giulio A. De Leo & Fiorenza Micheli. (2019) Quantifying coconut palm extent on Pacific islands using spectral and textural analysis of very high resolution imagery. International Journal of Remote Sensing 40:19, pages 7329-7355.
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Kabir Peerbhay, Ilaria Germishuizen & Riyad Ismail. (2019) Can remote sensing detect, monitor and track baboon-damaged Pinus plantations located in South Africa?. Journal of Spatial Science 64:3, pages 535-549.
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Shougang Ren, Sheng Wan, Xingjian Gu, Xiangbo Shu & Huangliang Xu. (2019) Hyperspectral image classification based on robust discriminative extraction of multiple spectral-spatial features. International Journal of Remote Sensing 40:15, pages 5812-5834.
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Inos Dhau, Elhadi Adam, Kingsley K. Ayisi & Onisimo Mutanga. (2019) Detection and mapping of maize streak virus using RapidEye satellite imagery. Geocarto International 34:8, pages 856-866.
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Zhao Bian, Ping Tang & Jun Yan. (2019) Land-cover classification from multiple classifiers using decision fusion based on the probabilistic graphical model. International Journal of Remote Sensing 40:12, pages 4560-4576.
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Ming Shang, Shixin Wang, Yi Zhou, Cong Du & Wenliang Liu. (2019) Object-based image analysis of suburban landscapes using Landsat-8 imagery. International Journal of Digital Earth 12:6, pages 720-736.
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Munkhdulam Otgonbayar, Clement Atzberger, Jonathan Chambers & Amarsaikhan Damdinsuren. (2019) Mapping pasture biomass in Mongolia using Partial Least Squares, Random Forest regression and Landsat 8 imagery. International Journal of Remote Sensing 40:8, pages 3204-3226.
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Zhihuan Wu, Yongming Gao, Lei Li, Junshi Xue & Yuntao Li. (2019) Semantic segmentation of high-resolution remote sensing images using fully convolutional network with adaptive threshold. Connection Science 31:2, pages 169-184.
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Hsiao-chien Shih, Douglas A. Stow & Yu Hsin Tsai. (2019) Guidance on and comparison of machine learning classifiers for Landsat-based land cover and land use mapping. International Journal of Remote Sensing 40:4, pages 1248-1274.
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Rahul Nijhawan, Josodhir Das & Balasubramanian Raman. (2019) A hybrid of deep learning and hand-crafted features based approach for snow cover mapping. International Journal of Remote Sensing 40:2, pages 759-773.
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Tao Liu, Amr Abd-Elrahman, Bon Dewitt, Scot Smith, Jon Morton & Victor L. Wilhelm. (2019) Evaluating the potential of multi-view data extraction from small Unmanned Aerial Systems (UASs) for object-based classification for Wetland land covers. GIScience & Remote Sensing 56:1, pages 130-159.
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Min Xia, Wan’an Liu, Bicheng Shi, Liguo Weng & Jia Liu. (2019) Cloud/snow recognition for multispectral satellite imagery based on a multidimensional deep residual network. International Journal of Remote Sensing 40:1, pages 156-170.
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Alim Samat, Sicong Liu, Claudio Persello, Erzhu Li, Zelang Miao & Jilili Abuduwaili. (2019) Evaluation of ForestPA for VHR RS image classification using spectral and superpixel-guided morphological profiles. European Journal of Remote Sensing 52:1, pages 107-121.
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Yuhao Jin, Xiaoping Liu, Yimin Chen & Xun Liang. (2018) Land-cover mapping using Random Forest classification and incorporating NDVI time-series and texture: a case study of central Shandong. International Journal of Remote Sensing 39:23, pages 8703-8723.
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J.M. Álvarez-Martínez, A. Silió-Calzada & J. Barquín. (2018) Can training data counteract topographic effects in supervised image classification? A sensitivity analysis in the Cantabrian Mountains (Spain). International Journal of Remote Sensing 39:23, pages 8646-8669.
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Panpan Xu, Zhenguo Niu & Ping Tang. (2018) Comparison and assessment of NDVI time series for seasonal wetland classification. International Journal of Digital Earth 11:11, pages 1103-1131.
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Huanxue Zhang, Qiangzi Li, Jiangui Liu, Xin Du, Taifeng Dong, Heather McNairn, Catherine Champagne, Mingxu Liu & Jiali Shang. (2018) Object-based crop classification using multi-temporal SPOT-5 imagery and textural features with a Random Forest classifier. Geocarto International 33:10, pages 1017-1035.
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Binh Thai Pham, Dieu Tien Bui & Indra Prakash. (2018) Landslide susceptibility modelling using different advanced decision trees methods. Civil Engineering and Environmental Systems 35:1-4, pages 139-157.
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Anthony Zullo, Mathieu Fauvel & Frédéric Ferraty. (2018) Experimental comparison of functional and multivariate spectral-based supervised classification methods in hyperspectral image. Journal of Applied Statistics 45:12, pages 2219-2237.
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Sahel Mahdavi, Bahram Salehi, Jean Granger, Meisam Amani, Brian Brisco & Weimin Huang. (2018) Remote sensing for wetland classification: a comprehensive review. GIScience & Remote Sensing 55:5, pages 623-658.
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Aura Cárdenas, Ana Moliner, Chiquinquirá Hontoria & Harald Schernthanner. (2018) Analysis of land-use/land-cover changes in a livestock landscape dominated by traditional silvopastoral systems: a methodological approach. International Journal of Remote Sensing 39:14, pages 4684-4698.
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Nguyen-Thanh Son, Chi-Farn Chen, Cheng-Ru Chen & Vo-Quang Minh. (2018) Assessment of Sentinel-1A data for rice crop classification using random forests and support vector machines. Geocarto International 33:6, pages 587-601.
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Eduardo Cuevas, Abigail Uribe-Martínez & María de los Ángeles Liceaga-Correa. (2018) A satellite remote-sensing multi-index approach to discriminate pelagic Sargassum in the waters of the Yucatan Peninsula, Mexico. International Journal of Remote Sensing 39:11, pages 3608-3627.
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Huaifei Shen, Yinghao Lin, Qingjiu Tian, Kaijian Xu & Junnan Jiao. (2018) A comparison of multiple classifier combinations using different voting-weights for remote sensing image classification. International Journal of Remote Sensing 39:11, pages 3705-3722.
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Kun Tan, Xue Wang, Jishuai Zhu, Jun Hu & Jun Li. (2018) A novel active learning approach for the classification of hyperspectral imagery using quasi-Newton multinomial logistic regression. International Journal of Remote Sensing 39:10, pages 3029-3054.
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Özlem Akar. (2018) The Rotation Forest algorithm and object-based classification method for land use mapping through UAV images. Geocarto International 33:5, pages 538-553.
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Aaron E. Maxwell, Timothy A. Warner & Fang Fang. (2018) Implementation of machine-learning classification in remote sensing: an applied review. International Journal of Remote Sensing 39:9, pages 2784-2817.
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Kaveh Shahi, Helmi Zulhaidi Mohd Shafri & Alireza Hamedianfar. (2017) Road condition assessment by OBIA and feature selection techniques using very high-resolution WorldView-2 imagery. Geocarto International 32:12, pages 1389-1406.
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Meisam Amani, Bahram Salehi, Sahel Mahdavi, Jean Granger & Brian Brisco. (2017) Wetland classification in Newfoundland and Labrador using multi-source SAR and optical data integration. GIScience & Remote Sensing 54:6, pages 779-796.
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Rei Sonobe, Yuki Yamaya, Hiroshi Tani, Xiufeng Wang, Nobuyuki Kobayashi & Kan-ichiro Mochizuki. (2017) Mapping crop cover using multi-temporal Landsat 8 OLI imagery. International Journal of Remote Sensing 38:15, pages 4348-4361.
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Zhou Guo & Shihong Du. (2017) Mining parameter information for building extraction and change detection with very high-resolution imagery and GIS data. GIScience & Remote Sensing 54:1, pages 38-63.
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Ismail Colkesen & Taskin Kavzoglu. (2017) The use of logistic model tree (LMT) for pixel- and object-based classifications using high-resolution WorldView-2 imagery. Geocarto International 32:1, pages 71-86.
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Chen Shang, Paul Treitz, John Caspersen & Trevor Jones. (2017) Estimating Stem Diameter Distributions in a Management Context for a Tolerant Hardwood Forest Using ALS Height and Intensity Data. Canadian Journal of Remote Sensing 43:1, pages 79-94.
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Özlem Akar. (2017) Mapping land use with using Rotation Forest algorithm from UAV images. European Journal of Remote Sensing 50:1, pages 269-279.
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Edwin Raczko & Bogdan Zagajewski. (2017) Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images. European Journal of Remote Sensing 50:1, pages 144-154.
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Laura Chasmer, Christopher Hopkinson, Joshua Montgomery & Richard Petrone. (2016) A Physically Based Terrain Morphology and Vegetation Structural Classification for Wetlands of the Boreal Plains, Alberta, Canada. Canadian Journal of Remote Sensing 42:5, pages 521-540.
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Tiezhu Shi, Jue Liu, Zhongwen Hu, Huizeng Liu, Junjie Wang & Guofeng Wu. (2016) New spectral metrics for mangrove forest identification. Remote Sensing Letters 7:9, pages 885-894.
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Mengna Li, Congcong Li, Hong Jiang, Chengyuan Fang, Jun Yang, Zhiliang Zhu, Lei Shi, Shirong Liu & Peng Gong. (2016) Tracking bamboo dynamics in Zhejiang, China, using time-series of Landsat data from 1990 to 2014. International Journal of Remote Sensing 37:7, pages 1714-1729.
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Marwa Waseem A. Halmy & Paul E. Gessler. (2015) The application of ensemble techniques for land-cover classification in arid lands. International Journal of Remote Sensing 36:22, pages 5613-5636.
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Wei Zhuang & Giorgos Mountrakis. (2015) Ground peak identification in dense shrub areas using large footprint waveform LiDAR and Landsat images. International Journal of Digital Earth 8:10, pages 805-824.
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Aaron E. Maxwell & Timothy A. Warner. (2015) Differentiating mine-reclaimed grasslands from spectrally similar land cover using terrain variables and object-based machine learning classification. International Journal of Remote Sensing 36:17, pages 4384-4410.
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J. He, J.R. Harris, M. Sawada & P. Behnia. (2015) A comparison of classification algorithms using Landsat-7 and Landsat-8 data for mapping lithology in Canada’s Arctic. International Journal of Remote Sensing 36:8, pages 2252-2276.
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A.E. Maxwell, T.A. Warner, M.P. Strager, J.F. Conley & A.L. Sharp. (2015) Assessing machine-learning algorithms and image- and lidar-derived variables for GEOBIA classification of mining and mine reclamation. International Journal of Remote Sensing 36:4, pages 954-978.
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Ning Lu, Alexander J. Hernandez & R. Douglas Ramsey. (2015) Land cover dynamics monitoring with Landsat data in Kunming, China: a cost-effective sampling and modelling scheme using Google Earth imagery and random forests. Geocarto International 30:2, pages 186-201.
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Ö. Akar & O. Güngör. (2015) Integrating multiple texture methods and NDVI to the Random Forest classification algorithm to detect tea and hazelnut plantation areas in northeast Turkey. International Journal of Remote Sensing 36:2, pages 442-464.
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Fan Li, David A. Clausi & Alexander Wong. (2015) Comparative Study of Classification Methods for Surficial Materials in the Umiujalik Lake Region Using RADARSAT-2 Polarimetric, Landsat-7 Imagery and DEM Data. Canadian Journal of Remote Sensing 41:1, pages 29-39.
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Yongming Xu, Anders Knudby & Hung Chak Ho. (2014) Estimating daily maximum air temperature from MODIS in British Columbia, Canada. International Journal of Remote Sensing 35:24, pages 8108-8121.
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Rei Sonobe, Hiroshi Tani, Xiufeng Wang, Nobuyuki Kobayashi & Hideki Shimamura. (2014) Parameter tuning in the support vector machine and random forest and their performances in cross- and same-year crop classification using TerraSAR-X. International Journal of Remote Sensing 35:23, pages 7898-7909.
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Victor F. Rodriguez-Galiano & Mario Chica-Rivas. (2014) Evaluation of different machine learning methods for land cover mapping of a Mediterranean area using multi-seasonal Landsat images and Digital Terrain Models. International Journal of Digital Earth 7:6, pages 492-509.
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V.F. Rodriguez-Galiano, M. Chica-Olmo & M. Chica-Rivas. (2014) Predictive modelling of gold potential with the integration of multisource information based on random forest: a case study on the Rodalquilar area, Southern Spain. International Journal of Geographical Information Science 28:7, pages 1336-1354.
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Elhadi Adam, Onisimo Mutanga, John Odindi & Elfatih M. Abdel-Rahman. (2014) Land-use/cover classification in a heterogeneous coastal landscape using RapidEye imagery: evaluating the performance of random forest and support vector machines classifiers. International Journal of Remote Sensing 35:10, pages 3440-3458.
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A.E. Maxwell, M.P. Strager, T.A. Warner, N.P. Zégre & C.B. Yuill. (2014) Comparison of NAIP orthophotography and RapidEye satellite imagery for mapping of mining and mine reclamation. GIScience & Remote Sensing 51:3, pages 301-320.
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Katrine Eldegard, John Wirkola Dirksen, Hans Ole Ørka, Rune Halvorsen, Erik Næsset, Terje Gobakken & Mikael Ohlson. (2014) Modelling bird richness and bird species presence in a boreal forest reserve using airborne laser-scanning and aerial images. Bird Study 61:2, pages 204-219.
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M. J. Cracknell, A. M. Reading & A. W. McNeill. (2014) Mapping geology and volcanic-hosted massive sulfide alteration in the Hellyer–Mt Charter region, Tasmania, using Random Forests™ and Self-Organising Maps. Australian Journal of Earth Sciences 61:2, pages 287-304.
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Xuecao Li, Xiaoping Liu & Le Yu. (2014) Aggregative model-based classifier ensemble for improving land-use/cover classification of Landsat TM Images. International Journal of Remote Sensing 35:4, pages 1481-1495.
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Rei Sonobe, Hiroshi Tani, Xiufeng Wang, Nobuyuki Kobayashi & Hideki Shimamura. (2014) Random forest classification of crop type using multi-temporal TerraSAR-X dual-polarimetric data. Remote Sensing Letters 5:2, pages 157-164.
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Niti B. Mishra & Kelley A. Crews. (2014) Mapping vegetation morphology types in a dry savanna ecosystem: integrating hierarchical object-based image analysis with Random Forest. International Journal of Remote Sensing 35:3, pages 1175-1198.
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Elhadi Adam, Onisimo Mutanga, Elfatih M. Abdel-Rahman & Riyad Ismail. (2014) Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and random forest regression. International Journal of Remote Sensing 35:2, pages 693-714.
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Hui Fan. (2013) Land-cover mapping in the Nujiang Grand Canyon: integrating spectral, textural, and topographic data in a random forest classifier. International Journal of Remote Sensing 34:21, pages 7545-7567.
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Koreen Millard & Murray Richardson. (2013) Wetland mapping with LiDAR derivatives, SAR polarimetric decompositions, and LiDAR–SAR fusion using a random forest classifier. Canadian Journal of Remote Sensing 39:4, pages 290-307.
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Xuan Zhu. (2013) Land cover classification using moderate resolution satellite imagery and random forests with post-hoc smoothing. Journal of Spatial Science 58:2, pages 323-337.
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Manqi Li, Jungho Im & Colin Beier. (2013) Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife Forest. GIScience & Remote Sensing 50:4, pages 361-384.
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Taskin Kavzoglu & Ismail Colkesen. (2013) An assessment of the effectiveness of a rotation forest ensemble for land-use and land-cover mapping. International Journal of Remote Sensing 34:12, pages 4224-4241.
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Daniele La Rosa & Daniel Wiesmann. (2013) Land cover and impervious surface extraction using parametric and non-parametric algorithms from the open-source software R: an application to sustainable urban planning in Sicily. GIScience & Remote Sensing 50:2, pages 231-250.
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ElfatihM. Abdel-Rahman, FethiB. Ahmed & Riyad Ismail. (2013) Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data. International Journal of Remote Sensing 34:2, pages 712-728.
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Haiyan Guan, Zheng Ji, Liang Zhong, Jonathan Li & Que Ren. (2013) Partially supervised hierarchical classification for urban features from lidar data with aerial imagery. International Journal of Remote Sensing 34:1, pages 190-210.
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Bardan Ghimire, John Rogan, VíctorRodríguez Galiano, Prajjwal Panday & Neeti Neeti. (2012) An Evaluation of Bagging, Boosting, and Random Forests for Land-Cover Classification in Cape Cod, Massachusetts, USA. GIScience & Remote Sensing 49:5, pages 623-643.
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DennisC. Duro, StevenE. Franklin & MoniqueG. Dubé. (2012) Multi-scale object-based image analysis and feature selection of multi-sensor earth observation imagery using random forests. International Journal of Remote Sensing 33:14, pages 4502-4526.
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AliceG. Laborte, AileenA. Maunahan & RobertJ. Hijmans. (2012) Opportunities for expanding paddy rice production in Laos: spatial predictive modeling using Random Forest. Journal of Land Use Science 7:1, pages 21-33.
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E. M. Adam, O. Mutanga, D. Rugege & R. Ismail. (2012) Discriminating the papyrus vegetation (Cyperus papyrus L.) and its co-existent species using random forest and hyperspectral data resampled to HYMAP. International Journal of Remote Sensing 33:2, pages 552-569.
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Asli Ozdarici Ok, Ozlem Akar & Oguz Gungor. (2012) Evaluation of random forest method for agricultural crop classification. European Journal of Remote Sensing 45:1, pages 421-432.
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Hans Ole Ørka, Terje Gobakken, Erik Næsset, Liviu Ene & Vegard Lien. (2012) Simultaneously acquired airborne laser scanning and multispectral imagery for individual tree species identification. Canadian Journal of Remote Sensing 38:2, pages 125-138.
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R. Ismail & O. Mutanga. (2011) Discriminating the early stages of Sirex noctilio infestation using classification tree ensembles and shortwave infrared bands. International Journal of Remote Sensing 32:15, pages 4249-4266.
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Wai Yeung Yan & Ahmed Shaker. (2011) The effects of combining classifiers with the same training statistics using Bayesian decision rules. International Journal of Remote Sensing 32:13, pages 3729-3745.
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R. Sluiter & E.J. Pebesma. (2010) Comparing techniques for vegetation classification using multi- and hyperspectral images and ancillary environmental data. International Journal of Remote Sensing 31:23, pages 6143-6161.
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Steven E. Sesnie, Bryan Finegan, Paul E. Gessler, Sirpa Thessler, Zayra Ramos Bendana & Alistair M. S. Smith. (2010) The multispectral separability of Costa Rican rainforest types with support vector machines and Random Forest decision trees. International Journal of Remote Sensing 31:11, pages 2885-2909.
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A. Smith. (2010) Image segmentation scale parameter optimization and land cover classification using the Random Forest algorithm. Journal of Spatial Science 55:1, pages 69-79.
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B. Ghimire, J. Rogan & J. Miller. (2010) Contextual land-cover classification: incorporating spatial dependence in land-cover classification models using random forests and the Getis statistic. Remote Sensing Letters 1:1, pages 45-54.
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DanielO. McInerney & Maarten Nieuwenhuis. (2009) A comparative analysis of kNN and decision tree methods for the Irish National Forest Inventory. International Journal of Remote Sensing 30:19, pages 4937-4955.
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