Application of multi-scale deep convolutional neural networks (MDCNN) to susceptibility assessment of rainfall-induced landslides in typical southern hilly areas: A case study of Wanxiu District, Wuzhou City, Guangxi, China

Detailed photovoltaic mapping and multidimensional analysis based on deep learning: a case study in Jiangsu Province, China

Jing He, Kaisar Ahmat, Osman Ilniyaz

Advancing ecological network resilience early warning in alpine source regions: A machine learning and multi-scale diagnostic framework

Shangbo Li, Yong Chen, Lihua Zhou, Ximing Huang, Jing Shu, Qihan Huang, et al.

Also available via: Ecological Indicators

Research on the sustainability evolution of cultivated land ecosystems in the North China plain integrating policy scenario simulation and deep learning diagnosis

Xinyu Hu, Yu Zhang, Changyuan Wang, Chun Dong, Lina Wang

A remote sensing-based tree mortality indicator for biodiversity monitoring using multispectral UAV and lidar in the Arctic region, Finland

Katalin Waga, Jaan Rönkkö, Mikko Kukkonen, Anton Kuzmin, Timo Kumpula, Parvez Rana

Deadwood is a recognised ecological indicator for forest biodiversity. Both the UN Convention on Biological Diversity and the EU Biodiversity Strategy 2030 mandates inventorying and reporting deadwood. However, monitoring tree mortality, the source of deadwood, remains challengin…Read more

Research on attribution and prediction of runoff changes in loess gully areas based on SWAT and machine learning models

Yun Zhao, Enhui Jiang, Bo Qu, Rui Zhang, Chang Liu, Jiaqi Li, et al.

Enhancing satellite-based turbidity monitoring in drinking water source lakes using optical classification–guided machine learning

Zhilong Zhao, Shaohua Lei, Xiaoran Gong, Shaoqi Gong, Xiaolan Cai, Shuai Zeng, et al.

Also available via: Ecological Indicators