About this Research Topic
The multi-platform, multi-sensor, multi-temporal satellite remote sensing data sources and ground observation data are used comprehensively to obtain continuous and consistent ecological parameters in time and spatial scale through remote sensing inversion, data assimilation, and scale conversion. We fully use all available remote sensing observation data and take advantage of different remote sensing observation data. Using multi-source collaborative remote sensing observation and analysis processing methods, we thoroughly combine the benefits of multiple remote sensing observation data to improve the accuracy of data products. The main focus is on applying multi-source, long-term, large-scale remote sensing data in ecological problems.
In this Research Topic, we are interested in applying remote sensing technology in ecology, including water, land, biological, and climate resources. This Research Topic aims to publish original research, and both innovative methodologies and successful case studies are expected. In this collection on “Application of Remote Sensing Technology in Ecology”, we welcome topics that include but are not limited to, the following:
•Soil mapping and remote sensing monitoring;
•Precision agriculture, water quality monitoring;
•Urban socio-ecological system monitoring and assessment;
•Air quality and pollution monitoring;
•Land cover and land change detection;
•Satellite environmental data;
•Remote sensing for natural disaster monitoring and mitigation.
Keywords: remote sensing, water, land, biological, climate
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