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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qian Yang Jianghua Zheng Yuan Zhang Xia Yang Zhihui Liu |
| Copyright Year | 2015 |
| Description | Author affiliation: Sch. of Resources & Environ. Sci., Xinjiang Univ., Urumqi, China (Qian Yang; Jianghua Zheng; Yuan Zhang; Xia Yang) || Inst. of Arid Ecology & Environ., Xinjiang Univ., Urumqi, China (Zhihui Liu) |
| Abstract | Precipitation is one of the important factors that influences vegetation growth and distributions. Using GF-1 remotely sensed images and observed precipitation data, this paper discusses the response relationship between the normalized difference vegetation index (NDVI) and the standardized precipitation index (SPI) in Hutubi County at different time scales from January to December, 2014. The results show that: (1) From a macro point of view, NDVI has obvious geographical characteristics, the Central Plains region has the highest NDVI values; whereas mountains and hills in the southern region and deserts in the northern region have relatively low NDVI values. (2) There is a clear changing trend in the area of vegetation cover. (3) The SPI randomness decreases but the SPI persistence increases with increment in time scales. The sensitivity of the SPI to precipitation is different at different time scales. (4) The SPI has a good correlation with NDVI at six-months time scale. (5)The overall distributions of both basically have the same shape and trendwithhigher SPI values in April and May, and higher NDVI are from June to August. This confirms the lag-time of precipitation influence on vegetation. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 557445 |
| Page Count | 5 |
| File Format | |
| ISSN | 2161024X |
| e-ISBN | 9781467376631 |
| DOI | 10.1109/GEOINFORMATICS.2015.7378713 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-19 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Correlation Vegetation index (NDVI) Standardized precipitation index (SPI) Hutubi County Hysteresis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Geography, Planning and Development Computer Networks and Communications Information Systems Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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