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

^*Corresponding author for this work

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Remote Sensing and Modeling of Ecosystems for Sustainability VIII
DOIs	https://doi.org/10.1117/12.890389
State	Published - 2011
Externally published	Yes
Event	Remote Sensing and Modeling of Ecosystems for Sustainability VIII - San Diego, CA, United States Duration: 22 Aug 2011 → 23 Aug 2011

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8156
ISSN (Print)	0277-786X

Conference

Conference	Remote Sensing and Modeling of Ecosystems for Sustainability VIII
Country/Territory	United States
City	San Diego, CA
Period	22/08/11 → 23/08/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 15 Life on Land

Keywords

Coastal management
Drought assessment
Remote sensing

Access to Document

10.1117/12.890389

Cite this

@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. in Remote Sensing and Modeling of Ecosystems for Sustainability VIII., 81560H, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8156, Remote Sensing and Modeling of Ecosystems for Sustainability VIII, San Diego, CA, United States, 22/08/11. https://doi.org/10.1117/12.890389

Integrating satellite for drought impact assessment in a developed coastal region. / Gao, Zhiqiang; Gao, Wei.
Remote Sensing and Modeling of Ecosystems for Sustainability VIII. 2011. 81560H (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8156).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

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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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this