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Proceedings Paper

Integrating satellite for drought impact assessment in a developed coastal region
Author(s): Zhiqiang Gao; Wei Gao
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Paper Abstract

This paper presents a new drought assessment method by spatially and temporally integrating the regional water stress index (RWSI) with the temperature vegetation dryness index (TVDI). With the aid of LANDSAT TM/ETM data, we were able to retrieve the land-use and land-cover (LULC), vegetation indices (VIs), and land surface temperature (LST), and derive three types of TVDI, including TVDI_SAVI, TVDI_ANDVI and TVDI_MSAVI, for the drought impact assessment in a well-developed coastal region, northern China. The classification of four drought impact categories associated with the RWSI values enables us to refine the spatiotemporal relationship between the LST and the VIs in a greater detail. Holistic drought impact assessment between 1987 and 2000 in our study area was carried out by linking RWSI with TVDIs group wise.

Paper Details

Date Published: 15 September 2011
PDF: 7 pages
Proc. SPIE 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII, 81560H (15 September 2011); doi: 10.1117/12.890389
Show Author Affiliations
Zhiqiang Gao, Institute of Geographical Sciences and Natural Resources Research (China)
Colorado State Univ. (United States)
Wei Gao, Colorado State Univ. (United States)


Published in SPIE Proceedings Vol. 8156:
Remote Sensing and Modeling of Ecosystems for Sustainability VIII
Wei Gao; Thomas J. Jackson; Jinnian Wang; Ni-Bin Chang, Editor(s)

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