Extracting Vegetation Coverage in Dry-hot Valley Regions Based on Alternating Angle Minimum Algorithm

3rd International Symposium on Earth Observation for Arid and Semi-Arid Environments

Yang, M.Y.^1 ; Wang, J.^1 ; Zhang, Q.^2

China West Normal University, College of Land and Resource, Nanchong

637300, China^1

Key Laboratory of Digital Globe, Institute of Remote Sensing and Digital Earth of CAS, Beijing

100094, China^2

关键词: Deterministic modeling;    Ecological environments;    Landsat TM images;    Spectral information;    Surface vegetation;    Vegetation coverage;    Vegetation index;    Weak representations;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/74/1/012019/pdf
DOI  :  10.1088/1755-1315/74/1/012019

来源: IOP

【 摘 要 】

Vegetation coverage is one of the most important indicators for ecological environment change, and is also an effective index for the assessment of land degradation and desertification. The dry-hot valley regions have sparse surface vegetation, and the spectral information about the vegetation in such regions usually has a weak representation in remote sensing, so there are considerable limitations for applying the commonly-used vegetation index method to calculate the vegetation coverage in the dry-hot valley regions. Therefore, in this paper, Alternating Angle Minimum (AAM) algorithm of deterministic model is adopted for selective endmember for pixel unmixing of MODIS image in order to extract the vegetation coverage, and accuracy test is carried out by the use of the Landsat TM image over the same period. As shown by the results, in the dry-hot valley regions with sparse vegetation, AAM model has a high unmixing accuracy, and the extracted vegetation coverage is close to the actual situation, so it is promising to apply the AAM model to the extraction of vegetation coverage in the dry-hot valley regions.