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Maps developed with artificial intelligence confirm low levels of phosphorus in Amazonian soil 科技资讯
2024
收藏  |  浏览/下载：1/0  |  提交时间：2024/05/01
Satellite helps monitor microcystin risk in lakes at a large scale 科技资讯
2023
收藏  |  浏览/下载：3/0  |  提交时间：2023/10/12
Machine-learning- and deep-learning-based streamflow prediction in a hilly catchment for future scenarios using CMIP6 GCM data 期刊论文
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2023, 卷号: 27, 期号: 5
作者:  Singh, Dharmaveer;  Vardhan, Manu;  Sahu, Rakesh;  Chatterjee, Debrupa;  Chauhan, Pankaj;  Liu, Shiyin
收藏  |  浏览/下载：0/0  |  提交时间：2024/01/31
Study reveals changeable tendency of soil organic carbon and total nitrogen in dryland 科技资讯
2022
收藏  |  浏览/下载：25/0  |  提交时间：2022/08/19
Climate Change 2022: Mitigation of Climate Change 科技报告
, 2022
作者:  Jim Skea
JPEG(8Kb)  |  收藏  |  浏览/下载：151/34  |  提交时间：2022/04/06
Highly accurate permafrost maps of the Northern Hemisphere published 科技资讯
2022
收藏  |  浏览/下载：11/0  |  提交时间：2022/04/01
Optimizing the mitigation of heavy metal pollution in biochar-treated soils with machine learning 科技资讯
2022
收藏  |  浏览/下载：7/0  |  提交时间：2022/03/30
Bathymetric Inversion and Mapping of Two Shallow Lakes Using Sentinel-2 Imagery and Bathymetry Data in the Central Tibetan Plateau 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15
作者:  Yang, Hong;  Ju, Jianting;  Guo, Hengliang;  Qiao, Baojin;  Nie, Bingkang;  Zhu, Liping
收藏  |  浏览/下载：36/0  |  提交时间：2022/06/21
MULTISPECTRAL SATELLITE IMAGERY  WATER DEPTH  NEURAL-NETWORKS  AIRBORNE LIDAR  REGRESSION  RETRIEVAL  MODEL  
Bathymetric mapping and estimation of water storage in a shallow lake using a remote sensing inversion method based on machine learning 期刊论文
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2022, 卷号: 15, 期号: 1
作者:  Yang, Hong;  Guo, Hengliang;  Dai, Wenhao;  Nie, Bingkang;  Qiao, Baojin;  Zhu, Liping
收藏  |  浏览/下载：46/0  |  提交时间：2022/06/21
TIBETAN PLATEAU  SATELLITE IMAGERY  DEPTH  REGRESSION  MODELS  RETRIEVAL  LIDAR  SVM  
Integrating Multi-Source Remote Sensing to Assess Forest Aboveground Biomass in the Khingan Mountains of North-Eastern China Using Machine-Learning Algorithms 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 4
作者:  Wang, Xiaoyi;  Liu, Caixia;  Lv, Guanting;  Xu, Jinfeng;  Cui, Guishan
收藏  |  浏览/下载：8/0  |  提交时间：2022/06/21
MULTIPLE SPATIAL SCALES  NORTHEASTERN CHINA  VEGETATION HEIGHT  NATIONAL FOREST  SAR BACKSCATTER  CARBON-DENSITY  CANOPY HEIGHT  LIDAR  MODIS  VOLUME