Reconstruction of time-series modis lst in central qinghai-tibet plateau using geostatistical approach

Linghong Ke; Xiaoli Ding; Chunqiao Song

doi:10.1109/LGRS.2013.2263553

Reconstruction of time-series modis lst in central qinghai-tibet plateau using geostatistical approach

Linghong Ke
, Xiaoli Ding
, Chunqiao Song

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

74 Citations (Scopus)

Abstract

We present an approach for reconstructing land surface temperature (LST) time series over mountainous areas based on Regression Kriging (RK) technique and a data processing scheme for filtering out LST noise and artifacts. A total of 1462 eight-day composite Moderate Resolution Imaging Spectroradiometer LST images over central Qinghai-Tibet Plateau over 2003-2010 are reconstructed. The regression model includes four auxiliary predictors-latitude, longitude, elevation, and NDVI-which are proven to be a good estimator for the 8-day LST. Comparison of ground surface temperature (GST) measurements at eight meteorological stations with the raw and reconstructed LST series shows that the reconstruction strategy can effectively recover complete high-quality over-land LST maps and significantly improve the consistency between LST and GST.

Original language	English
Article number	6545342
Pages (from-to)	1602-1606
Number of pages	5
Journal	IEEE Geoscience and Remote Sensing Letters
Volume	10
Issue number	6
DOIs	https://doi.org/10.1109/LGRS.2013.2263553
Publication status	Published - 31 Oct 2013

UN SDGs

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

SDG 15 Life on Land

Keywords

Image analysis
image processing
image reconstruction
remote sensing
temperature.

ASJC Scopus subject areas

Electrical and Electronic Engineering
Geotechnical Engineering and Engineering Geology

More information

10.1109/LGRS.2013.2263553

Cite this

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title = "Reconstruction of time-series modis lst in central qinghai-tibet plateau using geostatistical approach",

abstract = "We present an approach for reconstructing land surface temperature (LST) time series over mountainous areas based on Regression Kriging (RK) technique and a data processing scheme for filtering out LST noise and artifacts. A total of 1462 eight-day composite Moderate Resolution Imaging Spectroradiometer LST images over central Qinghai-Tibet Plateau over 2003-2010 are reconstructed. The regression model includes four auxiliary predictors-latitude, longitude, elevation, and NDVI-which are proven to be a good estimator for the 8-day LST. Comparison of ground surface temperature (GST) measurements at eight meteorological stations with the raw and reconstructed LST series shows that the reconstruction strategy can effectively recover complete high-quality over-land LST maps and significantly improve the consistency between LST and GST.",

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AU - Ke, Linghong

AU - Ding, Xiaoli

AU - Song, Chunqiao

PY - 2013/10/31

Y1 - 2013/10/31

N2 - We present an approach for reconstructing land surface temperature (LST) time series over mountainous areas based on Regression Kriging (RK) technique and a data processing scheme for filtering out LST noise and artifacts. A total of 1462 eight-day composite Moderate Resolution Imaging Spectroradiometer LST images over central Qinghai-Tibet Plateau over 2003-2010 are reconstructed. The regression model includes four auxiliary predictors-latitude, longitude, elevation, and NDVI-which are proven to be a good estimator for the 8-day LST. Comparison of ground surface temperature (GST) measurements at eight meteorological stations with the raw and reconstructed LST series shows that the reconstruction strategy can effectively recover complete high-quality over-land LST maps and significantly improve the consistency between LST and GST.

AB - We present an approach for reconstructing land surface temperature (LST) time series over mountainous areas based on Regression Kriging (RK) technique and a data processing scheme for filtering out LST noise and artifacts. A total of 1462 eight-day composite Moderate Resolution Imaging Spectroradiometer LST images over central Qinghai-Tibet Plateau over 2003-2010 are reconstructed. The regression model includes four auxiliary predictors-latitude, longitude, elevation, and NDVI-which are proven to be a good estimator for the 8-day LST. Comparison of ground surface temperature (GST) measurements at eight meteorological stations with the raw and reconstructed LST series shows that the reconstruction strategy can effectively recover complete high-quality over-land LST maps and significantly improve the consistency between LST and GST.

KW - Image analysis

KW - image processing

KW - image reconstruction

KW - remote sensing

KW - temperature.

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U2 - 10.1109/LGRS.2013.2263553

DO - 10.1109/LGRS.2013.2263553

M3 - Journal article

SN - 1545-598X

VL - 10

SP - 1602

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JO - IEEE Geoscience and Remote Sensing Letters

JF - IEEE Geoscience and Remote Sensing Letters

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Reconstruction of time-series modis lst in central qinghai-tibet plateau using geostatistical approach

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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