Prediction of grassland resource coverage in Jiangxi province using modified coverage slope osavi inversion method

doi:10.13474/j.cnki.11-2246.2023.0023

Abstract

Abstract: The coverage of Jiangxi province's grassland resource coverage prediction based on the modified coverage slope OSAVI inversion method has a relatively direct representativeness in the grassland resource survey. At present, the coverage survey is mainly manual field survey. Aiming at the problems of large regional field survey investment and long cycle, this paper uses the coverage data of Landsat 8, ASTER GDEM images, grassland map spots in the geographical national conditions census and 134 field sample survey data as the data source.Through the extraction of slope data, the coverage survey data of 74 field sample points and the optimized soil regulated vegetation index (OSAVI), the relevant model is established, and the coverage of grassland resources in the study area is inversed to form the distribution map of the gray value of grassland coverage in the whole region. The error analysis of 60 field survey sample plots' coverage and inversion coverage shows that the inversion coverage is highly consistent with the field coverage.

Key words: coverage, slope, OSAVI, inversion, grassland

CLC Number:

P237

CAO Qing'an, TU Liping, LENG Peng. Prediction of grassland resource coverage in Jiangxi province using modified coverage slope osavi inversion method[J]. Bulletin of Surveying and Mapping, 2023, 0(1): 141-144.

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