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- Title
基于ICEEMDAN方法的黄土高原植被覆盖变化及其对气候变化的响应.
- Authors
孙倩倩; 刘超; 郑蓓君
- Abstract
The long-term series of geographic data and remote sensing data contain noise and periodic fluctuation information. This study is based on the ICEEMDAN method to decompose the normalized vegetation index (NDVI), rainfall and temperature of the Loess Plateau from 1982 to 2015 pixel by pixel. The residual items obtained after the decomposition reduce the noise and periodic fluctuations in the original data, and Use residual items to study the changing trend of NDVI and the relationship between NDVI and climate factors. The results show that from 1982 to 2015, the NDVI of the Loess Plateau was mainly increased, and the significance of the change trend of the residual NDVI (95.9%) was greater than that of the original NDVI (72.3%), and there was a certain spatial difference. Changes in temperature and rainfall can largely explain the changes in vegetation cover. Among them, the area with extremely significant positive correlation between temperature and NDVI of the Loess Plateau accounted for 83.7%, and the area with extremely significant negative correlation accounted for 13.9%; the area with extremely significant positive correlation between rainfall and NDVI of the Loess Plateau accounted for 54.4%, with extremely significant negative correlation. The relevant area accounted for 37.2%. The response of vegetation on the Loess Plateau to climate change has obvious spatial differences, and different climatic factors have different effects on different vegetation coverage types. In general, the correlation between different vegetation and temperature in the growing season of the Loess Plateau is stronger than precipitation, and temperature is the main factor affecting the change of vegetation cover in the Loess Plateau.
- Subjects
SENSE data; VEGETATION dynamics; GROWING season; REMOTE sensing; GROUND vegetation cover
- Publication
Yingyong Shengtai Xuebao, 2021, Vol 32, Issue 6, p2129
- ISSN
1001-9332
- Publication type
Article
- DOI
10.13287/j.1001-9332.202103.011