State of the art reviews of remote sensing change detection are becoming increasingly
complicated and disparate due to an ever growing list of techniques, algorithms and …

With its synoptic view and the repeatability, satellite remote sensing can provide timely,
accurate and consistent information about earth's surface for cost-effective monitoring of …

Remote sensing image change detection is an essential aspect of remote sensing
technology application. Existing change detection algorithms based on deep learning do not …

Understanding surface changes requires the ability to identify changes in high resolution
remote sensing images. Because current deep learning-based change detection algorithms …

The urban-rural difference in economy is a key indicator of urban sustainability and socio-
economic development, especially when the rapid urbanization has taken place in China …

Land use/land cover (LULC) has changed dramatically in the peri-urban area (PUA) of
greater Cairo (GC) since the Egyptian revolution of 2011. This study analyzes LULC change …

Detecting land cover change through very-high-resolution (VHR) remote sensing images is
helpful in supporting urban sustainable development, natural disaster evaluation, and …

Mediterranean ecosystems are adapted to recurrent forest fires by having regeneration
mechanisms that overcome the immediate effects of fire. However, the increasing frequency …

The objective of this research is to examine effective methods for urban change detection
using multitemporal spaceborne SAR data in two rapid expanding cities in China. One …

Mangrove forests provide important ecosystem goods and services for human society.
Extensive coastal development in many developing countries has converted mangrove …