Recent Advances of Remote Sensing in Monitoring Agro-Meteorological Disasters
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 14017
Special Issue Editors
Interests: crop production; simulation model; farmers’ fields evaluation
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing for precision agriculture; integration of drone and satellite data for agriculture; assimilation of remote sensing data and crop growth simulation model
Interests: crop/drought model development; remote sensing applications; big data analytic for smart agriculture
Special Issue Information
Dear Colleagues,
In recent years, the frequency and intensification of extreme weather have been increasing, which may be associated with global warming and climate change. Under such circumstances, the monitoring of meteorological disasters in agriculture and their impact assessment are very important issues for food security. Quantifying the disasters based on satellite observations is recommended for this purpose. It is necessary to monitor and assess disasters at the farmer level. As UAV technology is becoming more popular and easily accessible, monitoring can start at any level. Carrying out assessments immediately after a disaster can provide information that will help shape the countermeasures in such cases. Monitoring and assessment are also being tested in the field of agricultural insurance. Insurance assessment based on remote-sensing may increase fairness and decrease cost.
This Special Issue calls for papers on the monitoring of meteorological disasters in agriculture. It covers not only floods and droughts, but also production fluctuations due to high temperature, low solar radiation, and so on, from the country scale to the farmers’ field scale. The trials of impact assessment using simulation models are especially welcome to utilize remote-sensing monitoring. Further development in this topic is expected by introducing the latest findings in this Special Issue.
Prof. Koki Homma
Dr. Masayasu Maki
Dr. Mongkol Raksapatcharawong
Guest Editors
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