Citations (40)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (6)
Sandra Wolters, Mats Söderström, Kristin Piikki, Thomas Börjesson & Carl-Göran Pettersson. (2022) Predicting grain protein concentration in winter wheat (Triticum aestivum L.) based on unpiloted aerial vehicle multispectral optical remote sensing. Acta Agriculturae Scandinavica, Section B — Soil & Plant Science 72:1, pages 788-802.
Read now
Read now
Pramaditya Wicaksono, Amanda Maishella, Sanjiwana Arjasakusuma, Wahyu Lazuardi & Setiawan Djody Harahap. (2022) Assessment of WorldView-2 images for aboveground seagrass carbon stock mapping in patchy and continuous seagrass meadows. International Journal of Remote Sensing 43:8, pages 2915-2941.
Read now
Read now
Sérgio Godinho, Nuno Guiomar & Artur Gil. (2018) Estimating tree canopy cover percentage in a mediterranean silvopastoral systems using Sentinel-2A imagery and the stochastic gradient boosting algorithm. International Journal of Remote Sensing 39:14, pages 4640-4662.
Read now
Read now
Xinyun Wang, Yige Guo, Jie He, Lingtong Du & Tianhua Hu. (2018) Estimation of forest aboveground biomass from HJ1B imagery using a canopy reflectance model and a forest growth model. Geocarto International 33:2, pages 148-162.
Read now
Read now
Amir Safari, Hormoz Sohrabi, Scott Powell & Shaban Shataee. (2017) A comparative assessment of multi-temporal Landsat 8 and machine learning algorithms for estimating aboveground carbon stock in coppice oak forests. International Journal of Remote Sensing 38:22, pages 6407-6432.
Read now
Read now
Alyssa Endres, Giorgos Mountrakis, Huiran Jin, Wei Zhuang, Ioannis Manakos, John J. Wiley$suffix/text()$suffix/text() & Colin M. Beier. (2016) Relative importance analysis of Landsat, waveform LIDAR and PALSAR inputs for deciduous biomass estimation. European Journal of Remote Sensing 49:1, pages 795-807.
Read now
Read now
Articles from other publishers (34)
Ruiyang Yu, Yunjun Yao, Qingxin Tang, Changliang Shao, Joshua B. Fisher, Jiquan Chen, Kun Jia, Xiaotong Zhang, Yufu Li, Ke Shang, Junming Yang, Lu Liu, Xueyi Zhang, Xiaozheng Guo, Zijing Xie, Jing Ning, Jiahui Fan & Lilin Zhang. (2023) Coupling a light use efficiency model with a machine learning-based water constraint for predicting grassland gross primary production. Agricultural and Forest Meteorology 341, pages 109634.
Crossref
Crossref
Bhuwan Thapa, Sarah Lovell & Jeffrey Wilson. (2023) Remote sensing and machine learning applications for aboveground biomass estimation in agroforestry systems: a review. Agroforestry Systems 97:6, pages 1097-1111.
Crossref
Crossref
Xueling Zhang, Ruoxuan Huang & Yixuan Yang. (2022) On the Landscape Activity Measure Coupling Ecological Index and Public Vitality Index of UGI: The Case Study of Zhongshan, China. Land 11:11, pages 1879.
Crossref
Crossref
Wei-Hsin Chen, Hsiu-Ju Lo, Ria Aniza, Bo-Jhih Lin, Young-Kwon Park, Eilhann E. Kwon, Herng-Kuang Sheen & Laumar Alan Dave R. Grafilo. (2022) Forecast of glucose production from biomass wet torrefaction using statistical approach along with multivariate adaptive regression splines, neural network and decision tree. Applied Energy 324, pages 119775.
Crossref
Crossref
Wei-Hsin Chen, Ria Aniza, Arjay A. Arpia, Hsiu-Ju Lo, Anh Tuan Hoang, Vahabodin Goodarzi & Jianbing Gao. (2022) A comparative analysis of biomass torrefaction severity index prediction from machine learning. Applied Energy 324, pages 119689.
Crossref
Crossref
Yang Liu, Haikuan Feng, Jibo Yue, Xiuliang Jin, Zhenhai Li & Guijun Yang. (2022) Estimation of potato above-ground biomass based on unmanned aerial vehicle red-green-blue images with different texture features and crop height. Frontiers in Plant Science 13.
Crossref
Crossref
Changju Lee & Sunghoon Lee. (2022) Exploring the Contributions by Transportation Features to Urban Economy: An Experiment of a Scalable Tree-Boosting Algorithm with Big Data. Land 11:4, pages 577.
Crossref
Crossref
Anthony D Campbell, Temilola Fatoyinbo, Sean P Charles, Laura L Bourgeau-Chavez, Joaquim Goes, Helga Gomes, Meghan Halabisky, James Holmquist, Steven Lohrenz, Catherine Mitchell, L Monika Moskal, Benjamin Poulter, Han Qiu, Celio H Resende De Sousa, Michael Sayers, Marc Simard, Anthony J Stewart, Debjani Singh, Carl Trettin, Jinghui Wu, Xuesong Zhang & David Lagomasino. (2022) A review of carbon monitoring in wet carbon systems using remote sensing. Environmental Research Letters 17:2, pages 025009.
Crossref
Crossref
Osman Ilniyaz, Alishir Kurban & Qingyun Du. (2022) Leaf Area Index Estimation of Pergola-Trained Vineyards in Arid Regions Based on UAV RGB and Multispectral Data Using Machine Learning Methods. Remote Sensing 14:2, pages 415.
Crossref
Crossref
Alessandro Matese, Andrea Berton, Valentina Chiarello, Riccardo Dainelli, Carla Nati, Laura Pastonchi, Piero Toscano & Salvatore Filippo Di Gennaro. (2021) Determination of Riparian Vegetation Biomass from an Unmanned Aerial Vehicle (UAV). Forests 12:11, pages 1566.
Crossref
Crossref
Leo Huylenbroeck, Nicolas Latte, Philippe Lejeune, Blandine Georges, Hugues Claessens & Adrien Michez. (2021) What Factors Shape Spatial Distribution of Biomass in Riparian Forests? Insights from a LiDAR Survey over a Large Area. Forests 12:3, pages 371.
Crossref
Crossref
Ralf Wieland, Tobia Lakes & Claas Nendel. (2021) Using Shapley additive explanations to interpret extreme gradient boosting predictions of grassland degradation in Xilingol, China. Geoscientific Model Development 14:3, pages 1493-1510.
Crossref
Crossref
Yu Bai, Shunlin Liang & Wenping Yuan. (2021) Estimating Global Gross Primary Production from Sun-Induced Chlorophyll Fluorescence Data and Auxiliary Information Using Machine Learning Methods. Remote Sensing 13:5, pages 963.
Crossref
Crossref
Yuhao Wu, Claude R. Duguay & Linlin Xu. (2021) Assessment of machine learning classifiers for global lake ice cover mapping from MODIS TOA reflectance data. Remote Sensing of Environment 253, pages 112206.
Crossref
Crossref
Farhad Keivanimehr, Alireza Baghban, Sajjad Habibzadeh, Ahmad Mohaddespour, Amin Esmaeili, Muhammad Tajammal Munir & Mohammad Reza Saeb. (2020) Oxidation kinetics of water contaminants: New insights from artificial intelligence. Environmental Progress & Sustainable Energy 40:1.
Crossref
Crossref
Yuzhen Zhang, Jun Ma, Shunlin Liang, Xisheng Li & Manyao Li. (2020) An Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground Biomass Estimation from Multiple Satellite Data Products. Remote Sensing 12:24, pages 4015.
Crossref
Crossref
Reza Daneshfar, Amin Bemani, Masoud Hadipoor, Mohsen Sharifpur, Hafiz Muhammad Ali, Ibrahim Mahariq & Thabet Abdeljawad. (2020) Estimating the Heat Capacity of Non-Newtonian Ionanofluid Systems Using ANN, ANFIS, and SGB Tree Algorithms. Applied Sciences 10:18, pages 6432.
Crossref
Crossref
Sanjiwana Arjasakusuma, Sandiaga Swahyu Kusuma & Stuart Phinn. (2020) Evaluating Variable Selection and Machine Learning Algorithms for Estimating Forest Heights by Combining Lidar and Hyperspectral Data. ISPRS International Journal of Geo-Information 9:9, pages 507.
Crossref
Crossref
Maria Rosário Fernandes, Francisca C. Aguiar, Maria João Martins, Nuno Rico, Maria Teresa Ferreira & Alexandra C. Correia. (2020) Carbon Stock Estimations in a Mediterranean Riparian Forest: A Case Study Combining Field Data and UAV Imagery. Forests 11:4, pages 376.
Crossref
Crossref
Adrián Alcolea, Mercedes E. Paoletti, Juan M. Haut, Javier Resano & Antonio Plaza. (2020) Inference in Supervised Spectral Classifiers for On-Board Hyperspectral Imaging: An Overview. Remote Sensing 12:3, pages 534.
Crossref
Crossref
Lu Yang, Shunlin Liang & Yuzhen Zhang. (2020) A New Method for Generating a Global Forest Aboveground Biomass Map From Multiple High-Level Satellite Products and Ancillary Information. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13, pages 2587-2597.
Crossref
Crossref
Amirhosein Mosavi, Farzaneh Sajedi Hosseini, Bahram Choubin, Massoud Goodarzi & Adrienn A. Dineva. (2020) Groundwater Salinity Susceptibility Mapping Using Classifier Ensemble and Bayesian Machine Learning Models. IEEE Access 8, pages 145564-145576.
Crossref
Crossref
. 2020. Advanced Remote Sensing. Advanced Remote Sensing
1
57
.
Amir Safari, Hormoz Sohrabi & Scott Powell. (2018) Comparison of satellite-based estimates of aboveground biomass in coppice oak forests using parametric, semiparametric, and nonparametric modeling methods. Journal of Applied Remote Sensing 12:04, pages 1.
Crossref
Crossref
Stefanos Georganos, Tais Grippa, Sabine Vanhuysse, Moritz Lennert, Michal Shimoni & Eleonore Wolff. (2018) Very High Resolution Object-Based Land Use–Land Cover Urban Classification Using Extreme Gradient Boosting. IEEE Geoscience and Remote Sensing Letters 15:4, pages 607-611.
Crossref
Crossref
Reza Soleimani, Amir Hossein Saeedi Dehaghani & Alireza Bahadori. (2017) A new decision tree based algorithm for prediction of hydrogen sulfide solubility in various ionic liquids. Journal of Molecular Liquids 242, pages 701-713.
Crossref
Crossref
Wojciech Drzewiecki. (2016) Improving sub-pixel imperviousness change prediction by ensembling heterogeneous non-linear regression models. Geodesy and Cartography 65:2, pages 193-218.
Crossref
Crossref
Gaia Vaglio Laurin, Nicola Puletti, Qi Chen, Piermaria Corona, Dario Papale & Riccardo Valentini. (2016) Above ground biomass and tree species richness estimation with airborne lidar in tropical Ghana forests. International Journal of Applied Earth Observation and Geoinformation 52, pages 371-379.
Crossref
Crossref
Timothy Dube & Onisimo Mutanga. (2016) The impact of integrating WorldView-2 sensor and environmental variables in estimating plantation forest species aboveground biomass and carbon stocks in uMgeni Catchment, South Africa. ISPRS Journal of Photogrammetry and Remote Sensing 119, pages 415-425.
Crossref
Crossref
Pablito López-Serrano, José Corral-Rivas, Ramón Díaz-Varela, Juan Álvarez-González & Carlos López-Sánchez. (2016) Evaluation of Radiometric and Atmospheric Correction Algorithms for Aboveground Forest Biomass Estimation Using Landsat 5 TM Data. Remote Sensing 8:5, pages 369.
Crossref
Crossref
Elizabeth A. FreemanGretchen G. MoisenJohn W. CoulstonBarry T. Wilson. (2016) Random forests and stochastic gradient boosting for predicting tree canopy cover: comparing tuning processes and model performance. Canadian Journal of Forest Research 46:3, pages 323-339.
Crossref
Crossref
Nicholas A. Sutfin, Ellen E. Wohl & Kathleen A. Dwire. (2016) Banking carbon: a review of organic carbon storage and physical factors influencing retention in floodplains and riparian ecosystems. Earth Surface Processes and Landforms 41:1, pages 38-60.
Crossref
Crossref
Yoonseok Shin. (2015) Application of Boosting Regression Trees to Preliminary Cost Estimation in Building Construction Projects. Computational Intelligence and Neuroscience 2015, pages 1-9.
Crossref
Crossref
İnci Güneralp, Anthony M. Filippi & Jarom Randall. (2014) Estimation of floodplain aboveground biomass using multispectral remote sensing and nonparametric modeling. International Journal of Applied Earth Observation and Geoinformation 33, pages 119-126.
Crossref
Crossref