Retrieval of water and heat flux based on fusion of LANDSAT TM/ETM+ and MODIS data

Jicai Ning; Zhiqiang Gao; Chaoshun Liu; Wei Gao

doi:10.1117/12.2184667

Retrieval of water and heat flux based on fusion of LANDSAT TM/ETM+ and MODIS data

Jicai Ning^*
, Zhiqiang Gao
, Chaoshun Liu
, Wei Gao

^*Corresponding author for this work

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

Abstract

The Moderate Resolution Imaging Spectroradiometer (MODIS) data has a high temporal resolution, which, at present, is an ideal data source in simulative monitoring of regional-scale changes in surface energy and water. However, the spatial resolution of its thermal infrared band is relatively low (1 km). The Landsat TM/ETM+ data have a high spatial resolution, but their single thermal infrared bands can lead to the fact that the inversion accuracy for the surface temperature is not high, and that the time resolution is low. This limits its application in the surface evapotranspiration (ET) monitoring. Combining TM/ETM + visible wave band with MODIS thermal infrared wave band, this paper discusses a multi-scale remote sensing method to estimate regional surface ET. On the basis of space enhancement method, the vegetation index estimated by TM/ETM + enhances the surface temperature scale with the inversion of MODIS to a 30 m resolution, which aims to improve the estimation accuracy of ET in the non-uniform surface mixed-pixel. The results show that this method has a higher accuracy of ET estimation compared with the method of only using MODIS or ETM+ data. Moreover, it can obtain a more obvious effect on scale correction in the uneven land surface or various surface covering types, and the corrected ET is close to the observation result.

Original language	English
Title of host publication	Remote Sensing and Modeling of Ecosystems for Sustainability XII
Editors	Ni-Bin Chang, Wei Gao
Publisher	SPIE
ISBN (Electronic)	9781628417760
DOIs	https://doi.org/10.1117/12.2184667
State	Published - 2015
Externally published	Yes
Event	Remote Sensing and Modeling of Ecosystems for Sustainability XII - San Diego, United States Duration: 11 Aug 2015 → 12 Aug 2015

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	9610
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Remote Sensing and Modeling of Ecosystems for Sustainability XII
Country/Territory	United States
City	San Diego
Period	11/08/15 → 12/08/15

Keywords

Landsat
MODIS
data fusion
remote sensing
water and heat flux

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10.1117/12.2184667

Cite this

@inproceedings{e6f95d40f64047cca04ba82e9fd58e21,

title = "Retrieval of water and heat flux based on fusion of LANDSAT TM/ETM+ and MODIS data",

abstract = "The Moderate Resolution Imaging Spectroradiometer (MODIS) data has a high temporal resolution, which, at present, is an ideal data source in simulative monitoring of regional-scale changes in surface energy and water. However, the spatial resolution of its thermal infrared band is relatively low (1 km). The Landsat TM/ETM+ data have a high spatial resolution, but their single thermal infrared bands can lead to the fact that the inversion accuracy for the surface temperature is not high, and that the time resolution is low. This limits its application in the surface evapotranspiration (ET) monitoring. Combining TM/ETM + visible wave band with MODIS thermal infrared wave band, this paper discusses a multi-scale remote sensing method to estimate regional surface ET. On the basis of space enhancement method, the vegetation index estimated by TM/ETM + enhances the surface temperature scale with the inversion of MODIS to a 30 m resolution, which aims to improve the estimation accuracy of ET in the non-uniform surface mixed-pixel. The results show that this method has a higher accuracy of ET estimation compared with the method of only using MODIS or ETM+ data. Moreover, it can obtain a more obvious effect on scale correction in the uneven land surface or various surface covering types, and the corrected ET is close to the observation result.",

keywords = "Landsat, MODIS, data fusion, remote sensing, water and heat flux",

author = "Jicai Ning and Zhiqiang Gao and Chaoshun Liu and Wei Gao",

note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; Remote Sensing and Modeling of Ecosystems for Sustainability XII ; Conference date: 11-08-2015 Through 12-08-2015",

year = "2015",

doi = "10.1117/12.2184667",

language = "英语",

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

publisher = "SPIE",

editor = "Ni-Bin Chang and Wei Gao",

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

address = "美国",

}

Ning, J, Gao, Z, Liu, C & Gao, W 2015, Retrieval of water and heat flux based on fusion of LANDSAT TM/ETM+ and MODIS data. in N-B Chang & W Gao (eds), Remote Sensing and Modeling of Ecosystems for Sustainability XII., 96101D, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9610, SPIE, Remote Sensing and Modeling of Ecosystems for Sustainability XII, San Diego, United States, 11/08/15. https://doi.org/10.1117/12.2184667

Retrieval of water and heat flux based on fusion of LANDSAT TM/ETM+ and MODIS data. / Ning, Jicai; Gao, Zhiqiang; Liu, Chaoshun et al.
Remote Sensing and Modeling of Ecosystems for Sustainability XII. ed. / Ni-Bin Chang; Wei Gao. SPIE, 2015. 96101D (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9610).

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

TY - GEN

T1 - Retrieval of water and heat flux based on fusion of LANDSAT TM/ETM+ and MODIS data

AU - Ning, Jicai

AU - Gao, Zhiqiang

AU - Liu, Chaoshun

AU - Gao, Wei

PY - 2015

Y1 - 2015

N2 - The Moderate Resolution Imaging Spectroradiometer (MODIS) data has a high temporal resolution, which, at present, is an ideal data source in simulative monitoring of regional-scale changes in surface energy and water. However, the spatial resolution of its thermal infrared band is relatively low (1 km). The Landsat TM/ETM+ data have a high spatial resolution, but their single thermal infrared bands can lead to the fact that the inversion accuracy for the surface temperature is not high, and that the time resolution is low. This limits its application in the surface evapotranspiration (ET) monitoring. Combining TM/ETM + visible wave band with MODIS thermal infrared wave band, this paper discusses a multi-scale remote sensing method to estimate regional surface ET. On the basis of space enhancement method, the vegetation index estimated by TM/ETM + enhances the surface temperature scale with the inversion of MODIS to a 30 m resolution, which aims to improve the estimation accuracy of ET in the non-uniform surface mixed-pixel. The results show that this method has a higher accuracy of ET estimation compared with the method of only using MODIS or ETM+ data. Moreover, it can obtain a more obvious effect on scale correction in the uneven land surface or various surface covering types, and the corrected ET is close to the observation result.

AB - The Moderate Resolution Imaging Spectroradiometer (MODIS) data has a high temporal resolution, which, at present, is an ideal data source in simulative monitoring of regional-scale changes in surface energy and water. However, the spatial resolution of its thermal infrared band is relatively low (1 km). The Landsat TM/ETM+ data have a high spatial resolution, but their single thermal infrared bands can lead to the fact that the inversion accuracy for the surface temperature is not high, and that the time resolution is low. This limits its application in the surface evapotranspiration (ET) monitoring. Combining TM/ETM + visible wave band with MODIS thermal infrared wave band, this paper discusses a multi-scale remote sensing method to estimate regional surface ET. On the basis of space enhancement method, the vegetation index estimated by TM/ETM + enhances the surface temperature scale with the inversion of MODIS to a 30 m resolution, which aims to improve the estimation accuracy of ET in the non-uniform surface mixed-pixel. The results show that this method has a higher accuracy of ET estimation compared with the method of only using MODIS or ETM+ data. Moreover, it can obtain a more obvious effect on scale correction in the uneven land surface or various surface covering types, and the corrected ET is close to the observation result.

KW - Landsat

KW - MODIS

KW - data fusion

KW - remote sensing

KW - water and heat flux

UR - https://www.scopus.com/pages/publications/84960538885

U2 - 10.1117/12.2184667

DO - 10.1117/12.2184667

M3 - 会议稿件

AN - SCOPUS:84960538885

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

BT - Remote Sensing and Modeling of Ecosystems for Sustainability XII

A2 - Chang, Ni-Bin

A2 - Gao, Wei

PB - SPIE

T2 - Remote Sensing and Modeling of Ecosystems for Sustainability XII

Y2 - 11 August 2015 through 12 August 2015

ER -

Retrieval of water and heat flux based on fusion of LANDSAT TM/ETM+ and MODIS data

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