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- Title
Mapping Alpine Grassland Fraction Coverage Using Zhuhai-1 OHS Imagery in the Three River Headwaters Region, China.
- Authors
Xing, Fei; An, Ru; Guo, Xulin; Shen, Xiaoji; Soubry, Irini; Wang, Benlin; Mu, Yanmei; Huang, Xianglin
- Abstract
The widely spread alpine grassland ecosystem in the Three River Headwaters Region (TRHR) plays an essential ecological role in carbon sequestration and soil and water conservation. In this study, we test the latest high spatial resolution hyperspectral (Zhuhai-1 OHS) remote sensing imagery to examine different alpine grassland coverage levels using Multiple Endmember Spectral Mixture Analysis (MESMA). Our results suggest that the 3-endmember (3-EM) MESMA model can provide the highest image pixel unmixing percentage, with a percentage exceeding 97% and 96% for pixel scale and landscape scale, respectively. The overall accuracy shows that Zhuhai-1 OHS imagery obtained the highest overall accuracy (83.7%, k = 0.77) in the landscape scale, but in the pixel scale, it is not as good as Landsat 8 OLI imagery. Overall, we can conclude that the hyperspectral imagery combined 3-EM MESMA model performs better in both pixel scale and landscape scale alpine grassland coverage mapping, while the multispectral imagery with the 3-EM MESMA model can satisfy requirements of alpine grassland coverage mapping at the pixel scale. The approaches and workflow to mapping alpine grassland in this study can help monitor alpine grassland degradation; not only in the Qinghai–Tibetan Plateau (QTP), but also in other grassland ecosystems.
- Subjects
CHINA; GRASSLANDS; CARBON sequestration; SOIL conservation; WATER conservation; MOUNTAIN ecology; LANDSAT satellites; ECOSYSTEMS; GRASSLAND soils
- Publication
Remote Sensing, 2023, Vol 15, Issue 9, p2289
- ISSN
2072-4292
- Publication type
Article
- DOI
10.3390/rs15092289