ASSESSING CROP SUITABILITY IN DORNOD PROVINCE, MONGOLIA USING NDVI IN KHERLEN BASIN

Abstract

The Normalized Difference Vegetation Index (NDVI) is a graphical pixel indicator which used and analysed by remote sensing technology whether or not the target being observed contains live green vegetation. In this paper we estimated crop suitability using Normalized Difference Vegetation Index (NDVI) which depended on Land Surface Temperature (LST), The Normalized Difference Moisture Index (NDMI or water) from MODIS satellite data and Elevation, Slope form ASTER DEM satellite data. NDVI is used for several sector, especially in agriculture for cropland, precision farming and to measure biomass. Agriculture is one of the crucial and traditional sectors of Mongolia that produces approximately 15 % gross domestic production (GDP). This research focuses on estimation for crop suitability based on a statistical method and NDVI.  The study area is situated in the steppe region Dornod province, eastern part of Mongolia. NDVI MODIS data (April to September) from 2003 to 2018 were applied for the estimation.   We used multiple linear regression analysis with python in order to develop crop suitability model using NDVI.  The result of proposed model was compared with MODIS NDVI value.

The agreement is positive which 71percent is.