ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2017, Vol. 14, No. 7, pp. 119-127

Experience of assessment geoinformation mapping of landscape resources state based on satellite data by the example of the Khuzestan province of Iran

S. Zareie 1 , V.A. Malinnikov 1 , V.M. Shcherbakov 2 , A. Nasiri 3 
1 Moscow State University for Geodesy and Cartography, Moscow, Russia
2 Saint Petersburg State University, Saint Petersburg, Russia
3 State University of Land Use Planning, Moscow , Russia
Accepted: 15.09.2017
DOI: 10.21046/2070-7401-2017-14-7-119-127
Geoinformation technologies of assessment mapping using satellite imagery materials, regardless of the analysis subject, dramatically increase the information value and objectivity of geographical information presentation. The assessment map, which is the resulting part of a geodatabase, serves as a document certifying the results of nature-using and state of natural-landscape resources observed from space. Land surface radiation midday temperature t° and NDVI vegetation index are common land surface characteristics that can be derived from satellite data. In the present paper, we consider geoinformation technology of compiling synthetic assessment maps which are based on multi-criteria analysis and calculation of integral indicator as the weighted-average sum of t° and NDVI, which are fixed for certain types of elementary sections of the land surface during ten sessions of satellite imaging in the corresponding year of monitoring. The presented assessment mapping includes vector polygonal modeling of the relief and formalized typing of elementary surfaces corresponding, as a rule, to the elementary morphological units of the landscapes (facies), detailing their suitability for the employment of agricultural machinery. The created assessment maps are intended to justify investments, for example, in the course of territorial planning of natural resources exploitation.
Keywords: geoinformation assessment mapping, multi-criteria analysis, land surface radiation midday temperature, vegetation index NDVI
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