Application of Remote Sensing and GIS in Drought Monitoring and Risk Assessment: Case Study in Lao PDR
Country: Lao PDR
Location within country: Savanakhet province
In this study, agricultural drought monitoring and risk assessment was carried out in Savanakhet province of Lao PDR. Savanakhet province is one of the most populated provinces in the country and drought is the most common hazard. Both TRMM satellite data and rainfall data analysis showed that degree of deviation from long-term mean precipitation in Savanakhet province was higher than other provinces.
Location within country: Tonle Sap watershed
The main objective of the programme was to create awareness and improve the skills of the national agencies in utilizing satellite images in disaster risk reduction and emergency response in eight ASEAN member countries.
Location within country: Tuv Aimag
In this project, potential use of remote sensing for drought detection and monitoring in Tuv Aimag, Mongolia were investigated. Multi-temporal drought severity maps were produced from MODIS satellite data by using an empirical index called Soil Moisture Index (SMI).
Location within country: Nueva Ecija
Aim of this project was to detect and monitor droughts in agricultural area, particularly rice in the Philippines using remote sensing data. Drought conditions were assessed using a computationally straightforward remote sensing index called Soil Moisture Index (SMI), derived from remote sensing data.
Detection of Drought Prone/Affected Areas Using Remote Sensing and Meteorological Approaches in Iloilo, The Philippines
Location within country: Iloilo
This project aimed at utilizing remote sensing and meteorological approaches for detecting droughts in Iloilo province of the Philippines.