Vegetation cover variation under hydroelectric development in upper stream of Yellow River

Long Lin; Xuying Shi; Fanghua Hao; Yunhui Wang

doi:10.1117/12.815576

29 December 2008 Vegetation cover variation under hydroelectric development in upper stream of Yellow River

Long Lin, Xuying Shi, Fanghua Hao, Yunhui Wang

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 72854L (2008) https://doi.org/10.1117/12.815576
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

In the upper stream of Yellow River, the status of vegetation cover is not as good as other location in the east of China. Considering the huge economic benefit of building hydroelectric stations, people took a lot of measures to structure hydropower stations, including in the upper stream of Yellow River. The objective of this study was to figure out the temporal variation and spatial rules of the vegetation cover based the time-series Moderate Resolution Imaging Spectroradiometer (MODIS) 250m NDVI datasets and Landsat satellites image data in the upper stream of Yellow River. The exact study region is the area along the Yellow River from Liujiaxia hydropower station to Qingtongxia hydropower station (Liu~Qing section). The research adopted the rules of average in-year NDVI changes extracted from MODIS data to modify the NDVI calculated from Landsat satellite images of different months to obtain the spatial heterogeneity and temporal dynamics in vegetation variation. A series of statistical analysis were applied to the NDVI and weather characteristics to identify the relation between them. Compared to the effect of weather factors, the relations between hydroelectric development and vegetation cover changes were analyzed.

Citation Download Citation

Long Lin, Xuying Shi, Fanghua Hao, and Yunhui Wang "Vegetation cover variation under hydroelectric development in upper stream of Yellow River", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 72854L (29 December 2008); https://doi.org/10.1117/12.815576

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KEYWORDS

Vegetation

MODIS

Earth observing sensors

Hydroelectric energy

Landsat

Satellites

Statistical analysis

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