Spatio-temporal monitoring of black soil land degraded grassland by remote sensing

doi:10.13474/j.cnki.11-2246.2022.0325

Abstract

Abstract: Accurate and timely monitoring the spatio-distribution characteristics of black soil land degraded grassland is of great significance to the restoration and management of grassland degradation in Qilian Mountains. Based on Landsat 8 OLI images and threshold method, we try to extract the scope of black soil land degraded grassland, and analyse spatio-temporal variation from 2014 to 2019 in northwestern part of Yeniugou township, Qilian county. The results show that the scheme has a certain reliability. During 2014 and 2019, the black soil land degraded grassland has improving trend in northern gentle slope part and central flat parts, and worse trend in western part and northwestern gentle slope part. The improving grassland depends on human intervention, and the deterioration grassland may be affected by many factors, such as water heat hole effects, rodent damage and so on.

Key words: black soil land degraded grassland, Landsat 8 OLI images fermentation, Yeniugou township, spatio-temporal pattern

CLC Number:

P237

LIU Yunfeng, QIN Kun, Lü Huiling, CHEN Siyu. Spatio-temporal monitoring of black soil land degraded grassland by remote sensing[J]. Bulletin of Surveying and Mapping, 2022, 0(11): 57-61.

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