Integrating satellite for drought impact assessment in a developed coastal region

Zhiqiang Gao; Wei Gao

doi:10.1117/12.890389

Integrating satellite for drought impact assessment in a developed coastal region

Zhiqiang Gao^*
, Wei Gao

^*此作品的通讯作者

CAS - Institute of Geographical Sciences and Natural Resources Research
Colorado State University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

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.

源语言	英语
主期刊名	Remote Sensing and Modeling of Ecosystems for Sustainability VIII
DOI	https://doi.org/10.1117/12.890389
出版状态	已出版 - 2011
已对外发布	是
活动	Remote Sensing and Modeling of Ecosystems for Sustainability VIII - San Diego, CA, 美国期限: 22 8月 2011 → 23 8月 2011

丛书

姓名	Proceedings of SPIE - The International Society for Optical Engineering
卷	8156
ISSN（印刷版）	0277-786X

会议

会议	Remote Sensing and Modeling of Ecosystems for Sustainability VIII
国家/地区	美国
市	San Diego, CA
时期	22/08/11 → 23/08/11

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 15 陆地生物

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10.1117/12.890389

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引用此

@inproceedings{5f3c285bfd7243acb9f0a52d7a42c8de,

title = "Integrating satellite for drought impact assessment in a developed coastal region",

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.",

keywords = "Coastal management, Drought assessment, Remote sensing",

author = "Zhiqiang Gao and Wei Gao",

year = "2011",

doi = "10.1117/12.890389",

language = "英语",

isbn = "9780819487667",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability VIII",

note = "Remote Sensing and Modeling of Ecosystems for Sustainability VIII ; Conference date: 22-08-2011 Through 23-08-2011",

}

Gao, Z & Gao, W 2011, Integrating satellite for drought impact assessment in a developed coastal region. 在 Remote Sensing and Modeling of Ecosystems for Sustainability VIII., 81560H, Proceedings of SPIE - The International Society for Optical Engineering, 卷 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII, San Diego, CA, 美国, 22/08/11. https://doi.org/10.1117/12.890389

TY - GEN

T1 - Integrating satellite for drought impact assessment in a developed coastal region

AU - Gao, Zhiqiang

AU - Gao, Wei

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - Coastal management

KW - Drought assessment

KW - Remote sensing

UR - https://www.scopus.com/pages/publications/84855449673

U2 - 10.1117/12.890389

DO - 10.1117/12.890389

M3 - 会议稿件

AN - SCOPUS:84855449673

SN - 9780819487667

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Remote Sensing and Modeling of Ecosystems for Sustainability VIII

T2 - Remote Sensing and Modeling of Ecosystems for Sustainability VIII

Y2 - 22 August 2011 through 23 August 2011

ER -

Integrating satellite for drought impact assessment in a developed coastal region

摘要

丛书

会议

联合国可持续发展目标

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学术指纹

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