Abstract
The temporal-spatial dynamic variation of vegetation coverage from 2010 to 2019 in Urad Grassland, Inner Mongolia has been investigated by analysing on MODIS NDVI remote sensing products. This paper applies pixel dichotomy approach and linear regression trend analysis method to analyze the temporal and spatial evolution trend of vegetation coverage over the past 10 years. The average annual vegetation coverage showed a downward trend in general from 2010 to 2019. The vegetation distribution and change trend analysis provide a thorough and scientific reference for policymaking in environmental protection.
Highlights
Urad Grassland as the study area in this work is located in the northern foot of Yinshan Mountain in China, with dry and windy winter and high proportion of wind erosion and desertification land
Urad Grassland is located in the north of Inner Mongolia, belonging to the city of Bayan Nur with a total area of 6.4×104 km2 and a population of 1.76 million
According to the principle of pixel dichotomy model, the NDVI value of a pixel can be expressed as two parts: the information contributed by green vegetation and the information contributed by bare soil
Summary
Urad Grassland as the study area in this work is located in the northern foot of Yinshan Mountain in China, with dry and windy winter and high proportion of wind erosion and desertification land. Over 70% grassland is seriously degraded, which is the main sand source of sandstorm and poses a threat to ecological security in North China [1][2]. It is a typical ecological fragile zone which is very sensitive to global change, and a critical ecological barrier in the mainland. Unlike the traditional method like field investigation in [2] or monitoring from sparsely distributed stations used in [3], remote sensing techniques are widely used as a useful tool to evaluate and analyze desertification areas for its advantages of diverse temporal and spatial data products, low cost and flexibility.
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