Disaster and Environment Monitoring Based on Multisource Remote Sensing Images

Dear Colleagues,

Due to the impacts of climate and environmental change, the frequency, intensity, and scope of extreme weather events have increased, leading to ecological vulnerability and frequent disasters such as earthquakes and floods in various regions. Ecosystems directly contribute to social and economic development by providing tangible material products and intangible services for human beings. However, the ecological environment has experienced a trend of deterioration under the combination of global warming and human activities. Implementing ecological environment assessments and clarifying the causes and mechanisms of disasters can provide a scientific basis and data support for eco-environmental protection measures and disaster reduction. With a focus on multisource remote sensing and social sensing data, this Topic aims to collect articles providing approaches, methods, and tools for assessing and revealing the changing trends and characteristics of ecological vulnerability and multiple types of disasters. Moreover, this Topic is devoted to promoting advances in understanding and modeling the relationships between global change and regional ecological vulnerability, accurately identifying vulnerability characteristics, exploring disturbance mechanisms, and examining the impact of key vulnerability elements and their interrelationships with disaster risk. We invite you to submit original research articles or review articles on topics related to ecological vulnerability assessment methods, disaster monitoring, or risk assessment utilizing multisource remote sensing images. Articles can describe innovative technological developments; introduce experiments, numerical modeling, case studies, or analytical research; or evaluate the future prospects of emerging technological solutions and propose suggestions for potential approaches.

Prof. Dr. Bing Guo
Dr. Yuefeng Lu
Dr. Yingqiang Song
Dr. Rui Zhang
Dr. Huihui Zhao
Topic Editors