Arid

浏览/检索结果: 共1条,第1-1条 帮助

已选(0)清除 条数/页:   排序方式:
Area-Wide Prediction of Vertebrate and Invertebrate Hole Density and Depth across a Climate Gradient in Chile Based on UAV and Machine Learning 期刊论文
发表期刊: DRONES. 出版年: 2021, 卷号: 5, 期号: 3
作者:  Grigusova, Paulina;  Larsen, Annegret;  Achilles, Sebastian;  Klug, Alexander;  Fischer, Robin;  Kraus, Diana;  Uebernickel, Kirstin;  Paulino, Leandro;  Pliscoff, Patricio;  Brandl, Roland;  Farwig, Nina;  Bendix, Joerg
收藏  |  浏览/下载:13/0  |  提交时间:2021/11/29
UAV  machine learning  burrowing animals  climate gradient  Chile  vegetation patterns  heterogeneity