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10 February 2023 Study on vegetation cover change in the headwaters of three rivers based on remote sensing technology
Qing Zhang, Jiandong Shang, XinZhao Li, Xiaolei Xiong
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Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 125520M (2023) https://doi.org/10.1117/12.2667500
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China
Abstract
With the rapid development of earth observation technology, remote sensing has become an important means of environmental monitoring. Remote sensing technology has the advantages of low cost, high efficiency and convenience, and has been widely used in the research of vegetation cover change in recent years. Based on the MODIS NDVI data from 2000 to 2019, this paper studied the spatial-temporal evolution of vegetation coverage in the Three-River Headwaters region by using the methods of maximum value synthesis, spatial trend analysis. The results showed that: 1) On the inter annual scale, NDVI in the Three-River Headwaters region showed an upward trend of fluctuation. In terms of spatial distribution pattern, it shows the overall distribution characteristics of "lower in northwest, higher in southeast." 2) In terms of spatial change trend, NDVI in most areas of the Three-River Headwaters region has been improved. However, in terms of dynamic persistence, the areas with uncertain future NDVI change trend account for more than 70%, and the areas with significant continuous improvement account for a relatively low proportion, which requires attention and attention.
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Qing Zhang, Jiandong Shang, XinZhao Li, and Xiaolei Xiong "Study on vegetation cover change in the headwaters of three rivers based on remote sensing technology", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 125520M (10 February 2023); https://doi.org/10.1117/12.2667500
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KEYWORDS
Vegetation
MODIS
Remote sensing
Technology
Analytical research
Environmental sensing
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