Arid

浏览/检索结果: 共5条,第1-5条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Mapping Permanent Gullies in an Agricultural Area Using Satellite Images: Efficacy of Machine Learning Algorithms 期刊论文
发表期刊: AGRONOMY-BASEL. 出版年: 2021, 卷号: 11, 期号: 2
作者:  Phinzi, Kwanele;  Holb, Imre;  Szabo, Szilard
收藏  |  浏览/下载:7/0  |  提交时间:2021/11/29
gully erosion  image classification  K-Nearest Neighbor  Random Forest  Minimum Distance  Maximum Likelihood  
High Spatial Resolution Topsoil Organic Matter Content Mapping Across Desertified Land in Northern China 期刊论文
发表期刊: FRONTIERS IN ENVIRONMENTAL SCIENCE. 出版年: 2021, 卷号: 9
作者:  Yang Junting;  Li Xiaosong;  Wu Bo;  Wu Junjun;  Sun Bin;  Yan Changzhen;  Gao Zhihai
收藏  |  浏览/下载:15/0  |  提交时间:2021/11/19
desertified land  soil organic matter content  Sentinel-2  machine learning  Google Earth Engine  
The Cognitive Ecology of Animal Movement: Evidence From Birds and Mammals 期刊论文
发表期刊: FRONTIERS IN ECOLOGY AND EVOLUTION. 出版年: 2021, 卷号: 9
作者:  Kashetsky, Tovah;  Avgar, Tal;  Dukas, Reuven
收藏  |  浏览/下载:23/0  |  提交时间:2021/11/19
cognition  expertise  philopatry  spatial learning  social learning  navigation  
Application of Probabilistic and Machine Learning Models for Groundwater Potentiality Mapping in Damghan Sedimentary Plain, Iran 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2019, 卷号: 11, 期号: 24
作者:  Arabameri, Alireza;  Roy, Jagabandhu;  Saha, Sunil;  Blaschke, Thomas;  Ghorbanzadeh, Omid;  Dieu Tien Bui
收藏  |  浏览/下载:5/0  |  提交时间:2020/03/23
groundwater potential mapping (GWPM)  probabilistic models  machine learning algorithms  sensitivity analysis  Damghan sedimentary plain  
New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed 期刊论文
发表期刊: FORESTS. 出版年: 2019, 卷号: 10, 期号: 9
作者:  Dieu Tien Bui;  Shirzadi, Ataollah;  Shahabi, Himan;  Geertsema, Marten;  Omidvar, Ebrahim;  Clague, John J.;  Binh Thai Pham;  Dou, Jie;  Asl, Dawood Talebpour;  Bin Ahmad, Baharin;  Lee, Saro
收藏  |  浏览/下载:5/0  |  提交时间:2019/11/29
shallow landslide  machine learning  goodness-of-fit  factor selection  GIS  Iran