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Remote sensing‐based biological and nonbiological indices for evaluating desertification in Iran

Image versus field indices

Bibliographic Data

ID21648205
AuthorsReza Jafari (0000-0003-2144-8333, Department of Natural Resources Isfahan University of Technology Isfahan Iran, corresponding author), Maedeh Abedi (Department of Natural Resources Isfahan University of Technology Isfahan Iran)
Year2021
Volume32
Issue9
Pages2805-2822
Publication date2021-05-30
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.3958
OpenAlexW3147472295
LanguageEN
Citations received1
References cited70

Mapping and monitoring of the complex process of desertification based on ground data in broad arid and semiarid areas faces basic limitations. Therefore, the purpose of the present study was to propose a new method for mapping this phenomenon in central Iran using biological and nonbiological (BNB) indices of remote sensing products from 2003 to 2016. For this purpose, BNB indices including normalized difference vegetation index, land surface temperature, temperature vegetation dryness index, precipitation, evapotranspiration, net primary production, rain use efficiency (RUE), aridity index, and slope were extracted using MOD13A2, MOD11A2, PERSIANN‐CDR, and SRTM products. After calibration and normalization of indices, they were combined using fuzzy logic and gamma operator and the combined 2003 map was validated by MEDALUS model map prepared based on ground data in 2003 using Pearson correlation and error matrix. Results showed more than 70% correlation ( p

Arid · Aridity index · Climate change · Correlation coefficient · Desertification · Evapotranspiration · Geography · Meteorology · Normalized Difference Vegetation Index · Physical geography · Precipitation · Remote sensing · Statistics · Environmental Science · Mathematics · Plant Water Relations and Carbon Dynamics · Remote Sensing and LiDAR Applications · Remote Sensing in Agriculture · Ecology · Geology

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Citations per year0.25
Citation span2022 - 2022 (1)
Highly citedNo

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