Citations (49)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (4)
Adriaan Jacobus Prins & Adriaan Van Niekerk. (2021) Crop type mapping using LiDAR, Sentinel-2 and aerial imagery with machine learning algorithms. Geo-spatial Information Science 24:2, pages 215-227.
Read now
Read now
Saman Ghaffarian & Mustafa Turker. (2019) An improved cluster-based snake model for automatic agricultural field boundary extraction from high spatial resolution imagery. International Journal of Remote Sensing 40:4, pages 1217-1247.
Read now
Read now
Asli Ozdarici Ok & Zuhal Akyurek. (2012) A segment-based approach to classify agricultural lands by using multi-temporal optical and microwave data. International Journal of Remote Sensing 33:22, pages 7184-7204.
Read now
Read now
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.
Read now
Read now
Articles from other publishers (45)
Zhenhai Li, Chengzhi Fan, Yu Zhao, Xiuliang Jin, Raffaele Casa, Wenjiang Huang, Xiaoyu Song, Gerald Blasch, Guijun Yang, James Taylor & Zhenhong Li. (2024) Remote sensing of quality traits in cereal and arable production systems: A review. The Crop Journal 12:1, pages 45-57.
Crossref
Crossref
Chenghai Yang & Charles P.-C. Suh. (2023) Applying machine learning classifiers to Sentinel-2 imagery for early identification of cotton fields to advance boll weevil eradication. Computers and Electronics in Agriculture 213, pages 108268.
Crossref
Crossref
Tingting Zhang, Danni Hu, Chunxiao Wu, Yundan Liu, Jianyu Yang & Kaixuan Tang. (2023) Large-scale apple orchard mapping from multi-source data using the semantic segmentation model with image- to- image translation and transfer learning. Computers and Electronics in Agriculture 213, pages 108204.
Crossref
Crossref
Yao Zhang, Hong Wang, Jiahao Liu, Xili Zhao, Yuting Lu, Tengfei Qu, Haozhe Tian, Jingru Su, Dingsheng Luo & Yalei Yang. (2023) A Lightweight Winter Wheat Planting Area Extraction Model Based on Improved DeepLabv3+ and CBAM. Remote Sensing 15:17, pages 4156.
Crossref
Crossref
Djamel Mansour, Sid Ahmed Souiah, Mohammed El Amin Larabi & Khadidja Bakhti. (2023) Urban sprawl characterization and its impact on peri-urban agriculture in Sidi Bel Abbes, Algeria, using multi-date landsat imagery. GeoJournal 88:5, pages 4671-4695.
Crossref
Crossref
Xuefang Liu, Wentao Liu, Haitao Wei & Quanwen Zhu. (2022) Monitoring Wheat Leaf Nitrogen Content Using HJ-CCD Images and Ridge Regression. Journal of Biobased Materials and Bioenergy 16:5, pages 707-714.
Crossref
Crossref
Carly Hyland, Kathryn McConnell, Edwin DeYoung & Cynthia L. Curl. (2022) Evaluating the accuracy of satellite-based methods to estimate residential proximity to agricultural crops. Journal of Exposure Science & Environmental Epidemiology.
Crossref
Crossref
Akiko Elders, Mark L. Carroll, Christopher S.R. Neigh, Anthony Louis D'Agostino, Christopher Ksoll, Margaret R. Wooten & Molly E. Brown. (2022) Estimating crop type and yield of small holder fields in Burkina Faso using multi-day Sentinel-2. Remote Sensing Applications: Society and Environment 27, pages 100820.
Crossref
Crossref
Xin-Xing Zhou, Yang-Yang Li, Yuan-Kai Luo, Ya-Wei Sun, Yi-Jun Su, Chang-Wei Tan & Ya-Ju Liu. (2022) Research on remote sensing classification of fruit trees based on Sentinel-2 multi-temporal imageries. Scientific Reports 12:1.
Crossref
Crossref
Itiya Aneece, Daniel Foley, Prasad Thenkabail, Adam Oliphant & Pardhasaradhi Teluguntla. (2022) New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15, pages 7846-7858.
Crossref
Crossref
İdris USLU, Zerrin ÇELİK, Sinan ARAS, Vural KARAGÜL, Merve ETÖZ & Aslı ÖZDARICI OK. (2021) Mısır Ekim Alanları ve Dane Veriminin Uzaktan Algılama ve Hybrid-Maize Bitki Modeli ile BelirlenmesiDetermination of Maize Planting Areas and Grain Yields Using Remote Sensing and Hybrid-Maize Crop Model. ANADOLU Ege Tarımsal Araştırma Enstitüsü Dergisi 31:2, pages 202-211.
Crossref
Crossref
Joanna Pluto-Kossakowska. (2021) Review on Multitemporal Classification Methods of Satellite Images for Crop and Arable Land Recognition. Agriculture 11:10, pages 999.
Crossref
Crossref
Serge Andréfouët, I.Made Iwan Dewantama & Eghbert Elvan Ampou. (2021) Seaweed farming collapse and fast changing socio-ecosystems exacerbated by tourism and natural hazards in Indonesia: A view from space and from the households of Nusa Lembongan island.. Ocean & Coastal Management 207, pages 105586.
Crossref
Crossref
Mustafa Turker & Alireza Rahimzadeganasl. (2021) Agricultural Field Detection from Satellite Imagery Using the Combined Otsu’s Thresholding Algorithm and Marker-Controlled Watershed-Based Transform. Journal of the Indian Society of Remote Sensing 49:5, pages 1035-1050.
Crossref
Crossref
Pabitra Kumar Mani, Agniva Mandal, Saikat Biswas, Buddhadev Sarkar, Tarik Mitran & Ram Swaroop Meena. 2021. Geospatial Technologies for Crops and Soils. Geospatial Technologies for Crops and Soils
49
111
.
Ruimei Han, Pei Liu, Guangyan Wang, Hanwei Zhang & Xilong Wu. (2020) Advantage of Combining OBIA and Classifier Ensemble Method for Very High-Resolution Satellite Imagery Classification. Journal of Sensors 2020, pages 1-15.
Crossref
Crossref
Peng-Peng Zhang, Xin-Xing Zhou, Zhi-Xiang Wang, Wei Mao, Wen-Xi Li, Fei Yun, Wen-Shan Guo & Chang-Wei Tan. (2020) Using HJ-CCD image and PLS algorithm to estimate the yield of field-grown winter wheat. Scientific Reports 10:1.
Crossref
Crossref
Changwei Tan, Xinxing Zhou, Pengpeng Zhang, Zhixiang Wang, Dunliang Wang, Wenshan Guo & Fei Yun. (2020) Predicting grain protein content of field-grown winter wheat with satellite images and partial least square algorithm. PLOS ONE 15:3, pages e0228500.
Crossref
Crossref
Yaping Chen, Mark Jason Lara & Feng Sheng Hu. (2020) A robust visible near-infrared index for fire severity mapping in Arctic tundra ecosystems. ISPRS Journal of Photogrammetry and Remote Sensing 159, pages 101-113.
Crossref
Crossref
Rui Sun, Shaohui Chen, Hongbo Su, Chunrong Mi & Ning Jin. (2019) The Effect of NDVI Time Series Density Derived from Spatiotemporal Fusion of Multisource Remote Sensing Data on Crop Classification Accuracy. ISPRS International Journal of Geo-Information 8:11, pages 502.
Crossref
Crossref
Sherrie Wang, George Azzari & David B. Lobell. (2019) Crop type mapping without field-level labels: Random forest transfer and unsupervised clustering techniques. Remote Sensing of Environment 222, pages 303-317.
Crossref
Crossref
Lu Xu, Dongping Ming, Wen Zhou, Hanqing Bao, Yangyang Chen & Xiao Ling. (2019) Farmland Extraction from High Spatial Resolution Remote Sensing Images Based on Stratified Scale Pre-Estimation. Remote Sensing 11:2, pages 108.
Crossref
Crossref
Sisi Wei, Hong Zhang, Chao Wang, Yuanyuan Wang & Lu Xu. (2019) Multi-Temporal SAR Data Large-Scale Crop Mapping Based on U-Net Model. Remote Sensing 11:1, pages 68.
Crossref
Crossref
Meng Zhang, Hui Lin, Guangxing Wang, Hua Sun & Jing Fu. (2018) Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China. Remote Sensing 10:11, pages 1840.
Crossref
Crossref
Tomáš Klouček, David Moravec, Jan Komárek, Ondřej Lagner & Přemysl Štych. (2018) Selecting appropriate variables for detecting grassland to cropland changes using high resolution satellite data. PeerJ 6, pages e5487.
Crossref
Crossref
Pengyu Hao, Huajun Tang, Zhongxin Chen & Zhengjia Liu. (2018) Early-season crop mapping using improved artificial immune network (IAIN) and Sentinel data. PeerJ 6, pages e5431.
Crossref
Crossref
Cheng Su, Cun-Jun Feng, Zhicai Huang & Xiaocan Zhang. (2018) Extraction of Rice Cropping Area from High Resolution Remote Sensing Image Based on Sample Knowledge Mining. Extraction of Rice Cropping Area from High Resolution Remote Sensing Image Based on Sample Knowledge Mining.
Vasileios Sitokonstantinou, Ioannis Papoutsis, Charalampos Kontoes, Alberto Arnal, Ana Pilar Andrés & José Angel Zurbano. (2018) Scalable Parcel-Based Crop Identification Scheme Using Sentinel-2 Data Time-Series for the Monitoring of the Common Agricultural Policy. Remote Sensing 10:6, pages 911.
Crossref
Crossref
Alex Okiemute Onojeghuo, George Alan Blackburn, Jingfeng Huang, Daniel Kindred & Wenjiang Huang. (2018) Applications of satellite ‘hyper-sensing’ in Chinese agriculture: Challenges and opportunities. International Journal of Applied Earth Observation and Geoinformation 64, pages 62-86.
Crossref
Crossref
Yingpin Yang, Qiting Huang, Wei Wu, Jiancheng Luo, Lijing Gao, Wen Dong, Tianjun Wu & Xiaodong Hu. (2017) Geo-Parcel Based Crop Identification by Integrating High Spatial-Temporal Resolution Imagery from Multi-Source Satellite Data. Remote Sensing 9:12, pages 1298.
Crossref
Crossref
Zhong-ping Sun, Suhong Liu, Fei Cao, Yuanli Shi & Chang-zuo Wang. (2017) Fine classification of construction land using high-resolution remote sensing images: a case study in planning restricted zone of nuclear power plant. Arabian Journal of Geosciences 10:22.
Crossref
Crossref
Qian SONG, Qing-bo ZHOU, Wen-bin WU, Qiong HU, Miao LU & Shu-bin LIU. (2017) Mapping regional cropping patterns by using GF-1 WFV sensor data. Journal of Integrative Agriculture 16:2, pages 337-347.
Crossref
Crossref
Chenghai Yang, Charles P.-C. Suh & John K. Westbrook. (2017) Early identification of cotton fields using mosaicked aerial multispectral imagery. Journal of Applied Remote Sensing 11:1, pages 016008.
Crossref
Crossref
Gao Mengxu, Wang Juanle & Bai Zhongqiang. (2016) Object-Oriented Method for Rural Residential Land Extraction in the Hilly Areas of Southern China Using RapidEye Data. Journal of Resources and Ecology 7:4, pages 291-300.
Crossref
Crossref
Pierre Todoroff & Jaco Kemp. 2016. Land Surface Remote Sensing in Agriculture and Forest. Land Surface Remote Sensing in Agriculture and Forest
179
220
.
E. Vaudour, P.E. Noirot-Cosson & O. Membrive. (2015) Early-season mapping of crops and cultural operations using very high spatial resolution Pléiades images. International Journal of Applied Earth Observation and Geoinformation 42, pages 128-141.
Crossref
Crossref
Fabian Löw, Christopher Conrad & Ulrich Michel. (2015) Decision fusion and non-parametric classifiers for land use mapping using multi-temporal RapidEye data. ISPRS Journal of Photogrammetry and Remote Sensing 108, pages 191-204.
Crossref
Crossref
Trang VoPham, John P. Wilson, Darren Ruddell, Tarek Rashed, Maria M. Brooks, Jian-Min Yuan, Evelyn O. Talbott, Chung-Chou H. Chang & Joel L. Weissfeld. (2015) Linking pesticides and human health: A geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure. Applied Geography 62, pages 171-181.
Crossref
Crossref
Emma V. White & David P. Roy. (2015) A contemporary decennial examination of changing agricultural field sizes using Landsat time series data. Geo: Geography and Environment 2:1, pages 33-54.
Crossref
Crossref
Asli Ozdarici-Ok, Ali Ok & Konrad Schindler. (2015) Mapping of Agricultural Crops from Single High-Resolution Multispectral Images—Data-Driven Smoothing vs. Parcel-Based Smoothing. Remote Sensing 7:5, pages 5611-5638.
Crossref
Crossref
Sofia Siachalou, Giorgos Mallinis & Maria Tsakiri-Strati. (2015) A Hidden Markov Models Approach for Crop Classification: Linking Crop Phenology to Time Series of Multi-Sensor Remote Sensing Data. Remote Sensing 7:4, pages 3633-3650.
Crossref
Crossref
T. Esch, A. Metz, M. Marconcini & M. Keil. (2014) Combined use of multi-seasonal high and medium resolution satellite imagery for parcel-related mapping of cropland and grassland. International Journal of Applied Earth Observation and Geoinformation 28, pages 230-237.
Crossref
Crossref
Ali Ozgun Ok, Asli Ozdarci Ok & Konrad Schindler. (2014) Graph-based method based on Gaussian Mixture Modeling to classify agricultural lands. Graph-based method based on Gaussian Mixture Modeling to classify agricultural lands.
Thomas Esch, Annekatrin Metz, Mattia Marconcini & Manfred Keil. 2014. Land Use and Land Cover Mapping in Europe. Land Use and Land Cover Mapping in Europe
329
339
.
Mustafa Turker & Emre Hamit Kok. (2013) Field-based sub-boundary extraction from remote sensing imagery using perceptual grouping. ISPRS Journal of Photogrammetry and Remote Sensing 79, pages 106-121.
Crossref
Crossref