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Analysis of spatial-temporal variations of grassland gross ecosystem product based on machine learning algorithm and multi-source remote sensing data: A case study of Xilinhot, China 期刊论文
GLOBAL ECOLOGY AND CONSERVATION, 2024, 卷号: 51
作者:  Wang, Haiwen;  Wu, Nitu;  Han, Guodong;  Li, Wu;  Batunacun;  Bao, Yuhai
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Analysis of spatial-temporal variations of grassland gross ecosystem product based on machine learning algorithm and multi-source remote sensing data: A case study of Xilinhot, China 期刊论文
GLOBAL ECOLOGY AND CONSERVATION, 2024, 卷号: 51
收藏  |  浏览/下载：0/0  |  提交时间：2024/06/11
Assessing the effect of ensemble learning algorithms and validation approach on estimating forest aboveground biomass: a case study of natural secondary forest in Northeast China 期刊论文
GEO-SPATIAL INFORMATION SCIENCE, 2024
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Grassland biomass spatiotemporal patterns and response to climate change in eastern Inner Mongolia based on XGBoost model estimates 期刊论文
ECOLOGICAL INDICATORS, 2024, 卷号: 158
作者:  Jia, Ziyu;  Zhang, Zhenhao;  Cheng, Yunxiang;  Buhebaoyin;  Borjigin, Shinchilelt;  Quan, Zhijia
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Grassland biomass spatiotemporal patterns and response to climate change in eastern Inner Mongolia based on XGBoost model estimates 期刊论文
ECOLOGICAL INDICATORS, 2024, 卷号: 158
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Advancing reservoirs water quality parameters estimation using Sentinel-2 and Landsat-8 satellite data with machine learning approaches 期刊论文
ECOLOGICAL INFORMATICS, 2024, 卷号: 81
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Digital mapping of soil properties in the high latitudes of Russia using sparse data 期刊论文
GEODERMA REGIONAL, 2024, 卷号: 36
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Enhancing irrigation water management based on ETo prediction using machine learning to mitigate climate change 期刊论文
COGENT FOOD & AGRICULTURE, 2024, 卷号: 10, 期号: 1
作者:  Youssef, Mohamed A.;  Peters, R. Troy;  El-Shirbeny, Mohammed;  Abd-ElGawad, Ahmed M.;  Rashad, Younes M.;  Hafez, Mohamed;  Arafa, Yasser
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Enhancing irrigation water management based on ETo prediction using machine learning to mitigate climate change 期刊论文
COGENT FOOD & AGRICULTURE, 2024, 卷号: 10, 期号: 1
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Content analyses of the international federation of red cross and red crescent societies (ifrc) based on machine learning techniques through twitter 期刊论文
Natural Hazards, 2021, 卷号: 106, 期号: 3
作者:  Dereli T.;  Eligüzel N.;  Çetinkaya C.
收藏  |  浏览/下载：19/0  |  提交时间：2021/09/01
Content analyses  IFRC  LDA  Machine learning  Topic labeling  Twitter