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Huaming Xie, Weiqing Zhang, Qianjiao Wu, Ting Zhang, Chukun Zhou & Zixian Chen. (2024) Extraction of tobacco planting area by using time-series of remote sensing data and the random forest algorithm. Remote Sensing Letters 15:1, pages 24-34.
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Panfei Fang, Guanglong Ou, Ruonan Li, Leiguang Wang, Weiheng Xu, Qinling Dai & Xin Huang. (2023) Regionalized classification of stand tree species in mountainous forests by fusing advanced classifiers and ecological niche model. GIScience & Remote Sensing 60:1.
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Yifang Ban, Salvatore Marullo & Lars Eklundh. (2017) European Remote Sensing: progress, challenges, and opportunities. International Journal of Remote Sensing 38:7, pages 1759-1764.
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Louise Lemettais, Samuel Alleaume, Sandra Luque, Anne-Élisabeth Laques, Yonas Alim, Laurent Demagistri & Agnès Bégué. Radiometric landscape: a new conceptual framework and operational approach for landscape characterisation and mapping. Geo-spatial Information Science 0:0, pages 1-23.
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Gordon O. Ojwang, Joseph O. Ogutu, Mohammed Y. Said, Merceline A. Ojwala, Shem C. Kifugo, Francesca Verones, Bente J. Graae, Robert Buitenwerf & Han Olff. (2024) An integrated hierarchical classification and machine learning approach for mapping land use and land cover in complex social-ecological systems. Frontiers in Remote Sensing 4.
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Svetlana Illarionova, Dmitrii Shadrin, Polina Tregubova, Vladimir Ignatiev, Albert Efimov, Ivan Oseledets & Evgeny Burnaev. (2022) A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks. Remote Sensing 14:22, pages 5861.
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Hugo Costa, Pedro Benevides, Francisco D. Moreira, Daniel Moraes & Mário Caetano. (2022) Spatially Stratified and Multi-Stage Approach for National Land Cover Mapping Based on Sentinel-2 Data and Expert Knowledge. Remote Sensing 14:8, pages 1865.
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Daniel Moraes, Pedro Benevides, Hugo Costa, Francisco Moreira & Mário Caetano. (2021) Assessment of the introduction of spatial stratification and manual training in automatic supervised image classification. Assessment of the introduction of spatial stratification and manual training in automatic supervised image classification.
Jin Han Park, Jianbang Gan & Chan Park. (2021) Discrepancies between Global Forest Net Primary Productivity Estimates Derived from MODIS and Forest Inventory Data and Underlying Factors. Remote Sensing 13:8, pages 1441.
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Yang Liu & Ronggao Liu. (2020) A Simple Approach for Mapping Forest Cover from Time Series of Satellite Data. Remote Sensing 12:18, pages 2918.
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Henry Zimba, Miriam Coenders-Gerrits, Banda Kawawa, Hubert Savenije, Imasiku Nyambe & Hessel Winsemius. (2020) Variations in Canopy Cover and Its Relationship with Canopy Water and Temperature in the Miombo Woodland Based on Satellite Data. Hydrology 7:3, pages 58.
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Jean-Philippe Denux, Emmanuelle Cano, Laurence Hubert-Moy, Marie Parrens & Véronique Chéret. (2019) Long-term forest mapping from classification of MODIS time series: best practices. Journal of Applied Remote Sensing 14:02, pages 1.
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Nicolas Karasiak, Jean-François Dejoux, Mathieu Fauvel, Jérôme Willm, Claude Monteil & David Sheeren. (2019) Statistical Stability and Spatial Instability in Mapping Forest Tree Species by Comparing 9 Years of Satellite Image Time Series. Remote Sensing 11:21, pages 2512.
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Abdallah Shanableh, Rami Al-Ruzouq, Mohamed Barakat A. Gibril, Cristina Flesia & Saeed AL-Mansoori. (2019) Spatiotemporal Mapping and Monitoring of Whiting in the Semi-Enclosed Gulf Using Moderate Resolution Imaging Spectroradiometer (MODIS) Time Series Images and a Generic Ensemble Tree-Based Model. Remote Sensing 11:10, pages 1193.
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Beatriz Bellón, Agnès Bégué, Danny Lo Seen, Valentine Lebourgeois, Balbino Antônio Evangelista, Margareth Simões & Rodrigo Peçanha Demonte Ferraz. (2018) Improved regional-scale Brazilian cropping systems’ mapping based on a semi-automatic object-based clustering approach. International Journal of Applied Earth Observation and Geoinformation 68, pages 127-138.
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Beatriz Bellón, Agnès Bégué, Danny Lo Seen, Claudio de Almeida & Margareth Simões. (2017) A Remote Sensing Approach for Regional-Scale Mapping of Agricultural Land-Use Systems Based on NDVI Time Series. Remote Sensing 9:6, pages 600.
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