Monitoring of grassland herbage accumulation by remote sensing using MOD 09GA data in Xinjiang

doi:10.11686/cyxb2017232

Abstract

Abstract: This study focuses on grassland in the Xinjiang Uygur Autonomous Region; in situ measurements of above ground biomass (AGB) and its spatial distribution were recorded during the growing seasons from 2010 to 2014. Regression models using AGB data and the corresponding daily surface reflectance obtained remotely from EOS Terra MODIS were established. Spatial analysis was used to calculate six vegetation indices (NDVI_max, MSAVI_max, PVI_max, NDVI_mean, MSAVI_mean and PVI_mean) using MOD 09GA data and the accuracy of the inversion models analyzed. The spatial distribution and spatial variation of the NDVI_mean, MSAVI_mean and PVI_mean values from 2010 to 2014 were also analyzed. Above-ground grassland biomass and its spatial distribution from 2005 to 2014 were estimated. It was found that NDVI_mean, MSAVI_mean and PVI_mean values gradually decreased from South to North and from West to East, and different grassland types have characteristic biomass differences. The biomass of azonal lowland meadow was highest and alpine desert type lowest among the grassland types included in the study. The trend of NDVI_mean, MSAVI_mean and PVI_mean value from 2010 to 2014 indicates that over 28% of regions in North Xinjiang could be categorized as showing ‘Improvement’, whereas in South Xinjiang these indicators were stable. The grassland of 14 prefectures in Xinjiang, representing 40% of the region, was also stable. The grassland of the Bortala Mongol Autonomous Prefecture, Kumul Prefecture, Tacheng Prefecture and Bayingolin Mongol Autonomous Prefecture showed improvement of over 15%. Over 10% of the grassland in Altary Prefecture, Bortala Mongol Autonomous Prefecture, Ili Kazakh Autonomous Prefecture, Karamay City, Changji Hui Autonomous Prefecture, Kizilsu Kirghiz Autonomous Prefecture, Aksu Prefecture and Urumqi City can be categorized as showing ‘Mild Improved’. The overall trend for grassland vegetation in Xinjiang is positive.

Key words: Xinjiang, grassland above-ground biomass, vegetable indices, remote sensing monitoring

XUN Qi-lei, DONG Yi-qiang, AN Sha-zhou, YAN Kai. Monitoring of grassland herbage accumulation by remote sensing using MOD 09GA data in Xinjiang[J]. Acta Prataculturae Sinica, 2018, 27(4): 10-26.

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