Remote Sensing of Drought Recovery
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Geology, Geomorphology and Hydrology".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 5379
Special Issue Editors
2. Institute for Environmental and Spatial Analysis, University of North Georgia, Dahlonega, GA 30597, USA
Interests: hydrology; GIS; precipitation; climate variability; numerical modeling; climate change; civil engineering; meteorology; remote sensing; environmental engineering
Interests: snow hydrology and river hydraulics; streamflow forecasting and hydrologic hazard prediction; water sustainability and hydrologic extreme assessments; hydro-informatics and land data assimilation; system development and application; remote sensing of land surface processes; land–atmosphere processes and radiative transfer modeling
Special Issue Information
Dear Colleagues,
This Special Issue aims to cover topics on remote sensing applications to quantify drought recovery. Drought, as a frequent, costly natural disaster, is the most widespread climatic extreme in both human and natural systems. In general, droughts are classified into four groups: meteorological (deficit in precipitation), agricultural (deficit in soil moisture), hydrological (deficit in runoff and groundwater), and socioeconomic (considering water supply, demand, and social response), which can all be associated with a sustained precipitation deficit. Since droughts create significant water and food security concerns, many methods and indices have been developed to detect and quantify the impacts.
Remote sensing products have been widely used to monitor drought-related variables and quantify impacts from an ecosystem perspective. New unprecedented remote sensing datasets for precipitation, snow, soil moisture, temperature, evaporation, total water storage, vegetation, and land cover have resulted in new global drought monitoring from different perspectives (e.g., meteorological, agricultural, hydrological, and ecological). Satellite observations have also been directly used to detect drought impacts on ecosystems (vegetation growth) by assessing the photosynthesis capacity of plants.
Recovery time (metric to measure drought impact), is defined as the time period an ecosystem requires to revisit its pre-drought state. Drought recovery is defined in different spatiotemporal scales using the area of ecosystems recovering and time to recovery.
The focus of this Special Issue is to publish research papers and short reviews addressing recent progress in the area of drought recovery using remote sensing datasets. Original research papers related to the above topics, comprising innovative methods using new remote sensing datasets, statistical indices addressing drought recovery, and its spatiotemporal patterns, are highly encouraged.
Ali Mehran
Dr. Dongyue Li
Guest Editors
Manuscript Submission Information
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