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Mouad Alami Machichi, loubna El mansouri, yasmina imani, Omar Bourja, Ouiam Lahlou, Yahya Zennayi, François Bourzeix, Ismaguil Hanadé Houmma & Rachid Hadria. (2023) Crop mapping using supervised machine learning and deep learning: a systematic literature review. International Journal of Remote Sensing 44:8, pages 2717-2753.
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Masoumeh Hamidi, Abdolreza Safari & Saeid Homayouni. (2021) An auto-encoder based classifier for crop mapping from multitemporal multispectral imagery. International Journal of Remote Sensing 42:3, pages 986-1016.
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Fadhlullah Ramadhani, Reddy Pullanagari, Gabor Kereszturi & Jonathan Procter. (2020) Mapping of rice growth phases and bare land using Landsat-8 OLI with machine learning. International Journal of Remote Sensing 41:21, pages 8428-8452.
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Nobuyuki Kobayashi, Hiroshi Tani, Xiufeng Wang & Rei Sonobe. (2020) Crop classification using spectral indices derived from Sentinel-2A imagery. Journal of Information and Telecommunication 4:1, pages 67-90.
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Iman Khosravi & Seyed Kazem Alavipanah. (2019) A random forest-based framework for crop mapping using temporal, spectral, textural and polarimetric observations. International Journal of Remote Sensing 40:18, pages 7221-7251.
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Rei Sonobe, Yuki Yamaya, Hiroshi Tani, Xiufeng Wang, Nobuyuki Kobayashi & Kan-ichiro Mochizuki. (2019) Evaluating metrics derived from Landsat 8 OLI imagery to map crop cover. Geocarto International 34:8, pages 839-855.
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Rei Sonobe, Yuki Yamaya, Hiroshi Tani, Xiufeng Wang, Nobuyuki Kobayashi & Kan-ichiro Mochizuki. (2017) Assessing the suitability of data from Sentinel-1A and 2A for crop classification. GIScience & Remote Sensing 54:6, pages 918-938.
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Syed Roshaan Ali Shah, Obaid-Ur- Rehman, Yasir Shabbir & Rana AhmadFaraz Ishaq. Contextual band addition and multi-look inferencing to improve semantic segmentation model performance on satellite images. Journal of Spatial Science 0:0, pages 1-24.
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Jingjing Peng, Shuai Li, Xingrong Ma, Haoxi Ding, Wenjing Fang & Rutian Bi. (2024) Spatial Distribution and Influencing Factors of Daylily Cultivation in the Farming–Pastoral Ecotone of Northern China. Land 13:4, pages 439.
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Yiqun Wang, Hui Huang & Radu State. (2023) Early Crop Mapping Using Dynamic Ecoregion Clustering: A USA-Wide Study. Remote Sensing 15:20, pages 4962.
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Xiaoli Fu, Wenzuo Zhou, Xinyao Zhou & Yichen Hu. (2023) Crop Mapping and Spatio–Temporal Analysis in Valley Areas Using Object-Oriented Machine Learning Methods Combined with Feature Optimization. Agronomy 13:10, pages 2467.
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Kaixin Zhang, Da Yuan, Huijin Yang, Jianhui Zhao & Ning Li. (2023) Synergy of Sentinel-1 and Sentinel-2 Imagery for Crop Classification Based on DC-CNN. Remote Sensing 15:11, pages 2727.
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Haoran Meng, Cunjun Li, Yu Liu, Yusheng Gong, Wanying He & Mengxi Zou. (2023) Corn Land Extraction Based on Integrating Optical and SAR Remote Sensing Images. Land 12:2, pages 398.
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Eman A. Alshari, Mohammed B. Abdulkareem & Bharti W. Gawali. (2023) Classification of land use/land cover using artificial intelligence (ANN-RF). Frontiers in Artificial Intelligence 5.
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Longcai Zhao, Qiangzi Li, Qingrui Chang, Jiali Shang, Xin Du, Jiangui Liu & Taifeng Dong. (2022) In-season crop type identification using optimal feature knowledge graph. ISPRS Journal of Photogrammetry and Remote Sensing 194, pages 250-266.
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Haitian Zhang, Maofang Gao & Chao Ren. (2022) Feature-Ensemble-Based Crop Mapping for Multi-Temporal Sentinel-2 Data Using Oversampling Algorithms and Gray Wolf Optimizer Support Vector Machine. Remote Sensing 14:20, pages 5259.
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Çiğdem ŞERİFOĞLU YILMAZ. (2022) Google Earth Engine Üzerinde Sentinel-2 Görüntülerinin Arazi Örtüsü Haritalama Doğruluğunun İyileştirilmesi. Turkish Journal of Remote Sensing and GIS, pages 150-159.
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Adenan Yandra Nofrizal & Rei Sonobe. (2022) Crop Classification Using a Combination of Spectral Indices from Spatiotemporal Multispectral Imagery and Machine Learning. Crop Classification Using a Combination of Spectral Indices from Spatiotemporal Multispectral Imagery and Machine Learning.
Hebing Zhang, Hongyi Yuan, Weibing Du & Xiaoxuan Lyu. (2022) Crop Identification Based on Multi-Temporal Active and Passive Remote Sensing Images. ISPRS International Journal of Geo-Information 11:7, pages 388.
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Fabrice Dubertret, François-Michel Le Tourneau, Miguel L. Villarreal & Laura M. Norman. (2022) Monitoring Annual Land Use/Land Cover Change in the Tucson Metropolitan Area with Google Earth Engine (1986–2020). Remote Sensing 14:9, pages 2127.
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Giles M. Foody. (2021) Impacts of ignorance on the accuracy of image classification and thematic mapping. Remote Sensing of Environment 259, pages 112367.
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Jiang Qun'ou, Xu Lidan, Sun Siyang, Wang Meilin & Xiao Huijie. (2021) Retrieval model for total nitrogen concentration based on UAV hyper spectral remote sensing data and machine learning algorithms – A case study in the Miyun Reservoir, China. Ecological Indicators 124, pages 107356.
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Xiao Xiao, Yilong Lu, Xiaoman Huang & Ting Chen. (2021) Temporal Series Crop Classification Study in Rural China Based on Sentinel-1 SAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14, pages 2769-2780.
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Emmanouil Psomiadis, Michalis Diakakis & Konstantinos X. Soulis. (2020) Combining SAR and Optical Earth Observation with Hydraulic Simulation for Flood Mapping and Impact Assessment. Remote Sensing 12:23, pages 3980.
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Michel E. D. Chaves, Michelle C. A. Picoli & Ieda D. Sanches. (2020) Recent Applications of Landsat 8/OLI and Sentinel-2/MSI for Land Use and Land Cover Mapping: A Systematic Review. Remote Sensing 12:18, pages 3062.
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Davoud Ashourloo, Hamid Salehi Shahrabi, Mohsen Azadbakht, Amir Moeini Rad, Hossein Aghighi & Soheil Radiom. (2020) A novel method for automatic potato mapping using time series of Sentinel-2 images. Computers and Electronics in Agriculture 175, pages 105583.
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Subir Paul & D. Nagesh Kumar. (2019) Evaluation of Feature Selection and Feature Extraction Techniques on Multi-Temporal Landsat-8 Images for Crop Classification. Remote Sensing in Earth Systems Sciences 2:4, pages 197-207.
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Xiao Xiao & Yilong Lu. (2019) Temporal Series Crop Classification Study in Rural China Based on Sentinel-1 SAR Data. Temporal Series Crop Classification Study in Rural China Based on Sentinel-1 SAR Data.
Rei Sonobe. (2019) Combining ASNARO-2 XSAR HH and Sentinel-1 C-SAR VH/VV Polarization Data for Improved Crop Mapping. Remote Sensing 11:16, pages 1920.
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Isaac Kyere, Thomas Astor, Rüdiger Graß & Michael Wachendorf. (2019) Multi-Temporal Agricultural Land-Cover Mapping Using Single-Year and Multi-Year Models Based on Landsat Imagery and IACS Data. Agronomy 9:6, pages 309.
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Rei Sonobe. (2019) Parcel-Based Crop Classification Using Multi-Temporal TerraSAR-X Dual Polarimetric Data. Remote Sensing 11:10, pages 1148.
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Dawei Xu, Baorui Chen, Beibei Shen, Xu Wang, Yuchun Yan, Lijun Xu & Xiaoping Xin. (2019) The Classification of Grassland Types Based on Object-Based Image Analysis with Multisource Data. Rangeland Ecology & Management 72:2, pages 318-326.
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Geun-Ho Kwak & No-Wook Park. (2019) Impact of Texture Information on Crop Classification with Machine Learning and UAV Images. Applied Sciences 9:4, pages 643.
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Md. Shahinoor Rahman, Liping Di, Eugene Yu, Chen Zhang & Hossain Mohiuddin. (2019) In-Season Major Crop-Type Identification for US Cropland from Landsat Images Using Crop-Rotation Pattern and Progressive Data Classification. Agriculture 9:1, pages 17.
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George Ch. Miliaresis. (2018) Selective Thematic Information Content Enhancement of LANDSAT ETM Imagery. Remote Sensing in Earth Systems Sciences 1:3-4, pages 53-62.
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Rei Sonobe, Tomohito Sano & Hideki Horie. (2018) Using spectral reflectance to estimate leaf chlorophyll content of tea with shading treatments. Biosystems Engineering 175, pages 168-182.
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Michael Kuhwald, Katja Dörnhöfer, Natascha Oppelt & Rainer Duttmann. (2018) Spatially Explicit Soil Compaction Risk Assessment of Arable Soils at Regional Scale: The SaSCiA-Model. Sustainability 10:5, pages 1618.
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Jesús Prieto-Amparan, Federico Villarreal-Guerrero, Martin Martinez-Salvador, Carlos Manjarrez-Domínguez, Eduardo Santellano-Estrada & Alfredo Pinedo-Alvarez. (2018) Atmospheric and Radiometric Correction Algorithms for the Multitemporal Assessment of Grasslands Productivity. Remote Sensing 10:2, pages 219.
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