Regional-Scale Forest Mapping over Fragmented Landscapes Using Global Forest Products and Landsat Time Series Classification
Myroniuk, Viktor, Kutia, Mykola, J. Sarkissian, Arbi, Bilous, Andrii, Liu, Shuguang
Published in Remote sensing (Basel, Switzerland) (01.01.2020)
Published in Remote sensing (Basel, Switzerland) (01.01.2020)
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Estimating the Growing Stem Volume of Coniferous Plantations Based on Random Forest Using an Optimized Variable Selection Method
Jiang, Fugen, Kutia, Mykola, Sarkissian, Arbi J, Lin, Hui, Long, Jiangping, Sun, Hua, Wang, Guangxing
Published in Sensors (Basel, Switzerland) (17.12.2020)
Published in Sensors (Basel, Switzerland) (17.12.2020)
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Inland water bodies in China: Features discovered in the long-term satellite data
Feng, Shuailong, Liu, Shuguang, Huang, Zhihong, Jing, Lei, Zhao, Meifang, Peng, Xi, Yan, Wende, Wu, Yiping, Lv, Yihe, Smith, Andrew R., McDonald, Morag A., Patil, Sopan D., Sarkissian, Arbi J., Shi, Zhihua, Xia, Jun, Ogbodo, U. S.
Published in Proceedings of the National Academy of Sciences - PNAS (17.12.2019)
Published in Proceedings of the National Academy of Sciences - PNAS (17.12.2019)
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REPLY TO ZHANG ET AL: Using long-term all-available Landsat data to study water bodies over large areas represents a paradigm shift
Feng, Shuailong, Liu, Shuguang, Huang, Zhihong, Jing, Lei, Zhao, Meifang, Peng, Xi, Yan, Wende, Wu, Yiping, Lv, Yihe, Smith, Andrew R., McDonald, Morag A., Patil, Sopan D., Sarkissian, Arbi J., Shi, Zhihua, Xia, Jun, Ogbodo, U. S.
Published in Proceedings of the National Academy of Sciences - PNAS (24.03.2020)
Published in Proceedings of the National Academy of Sciences - PNAS (24.03.2020)
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