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Course evaluation information
TEACHING EXPERIENCE
RESEARCH INTERESTS
Field Methods in Remote Sensing
Hyperspectral remote sensing (principles and applications)
Land use change detection in Esfarayen region, northern Khorasan, in past four decades
Analysing different groups of remote sensing vegetation indices for studying rangeland vegetation types
Application of spectral diversity index for rangeland degradation assessment in North Khorasan province
Change detection
Thermal remote sensing
Effects of sampling sizes on the correlation between vegetation cover and NDVI data in different rangeland conditions using TM and AWIFS images
Use of remote sensing for drought assessment and monitoring
Analysing rangeland function and structure using remote sensing data and field-based LFA method
Fire Risk Mapping of Rangelands and Forests Using Remote Sensing and Keetch Byram Drought Index Techniques(Case Study: Isfahan Province, Iran)
Dust Mapping Using MODIS Satellite Data

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