Ecological environmental assessment is an indispensable part of the eco-environment
protection system. As researchers have increasingly focused on ecological environment …

Imbalanced training sets are known to produce suboptimal maps for supervised
classification. Therefore, one challenge in mapping land cover is acquiring training data that …

In the last few years the scientific community has realized that obtaining a better
understanding of interactions between natural systems and the man-made environment …

Object-oriented convolutional neural network (CNN) has been proven to be an effective
classification method for very fine spatial resolution remotely sensed imagery. It can obtain …

In recent decades, land cover change detection (LCCD) using very high-spatial resolution
(VHR) remote sensing images has been a major research topic. However, VHR remote …

Simple Summary Spatial epidemiology, integrating traditional epidemiology, geography,
statistics, environmental science, and ecology, provides a comprehensive framework for …

In the context of China's freshwater crisis high-resolution data are critical for sustainable
water management and economic growth. Yet there is a dearth of data on water withdrawal …

The identification and mitigation of nonline-of-sight (NLOS) paths play crucial roles in
effectively localizing sensor nodes deployed in both indoor and urban outdoor …

Change detection is an increasingly important research topic in remote sensing application.
Previous studies achieved land cover change detection (LCCD) using bi-temporal remote …

A high-resolution dataset, such as an unmanned aerial vehicle (UAV) data provides new
insight of information extraction for remote sensing applications. Object-based image …