Reconstructing complete MODIS LST based on temperature gradients in northeastern Qinghai-Tibet Plateau

Linghong Ke; Chunqiao Song; Xiaoli Ding

doi:10.1109/IGARSS.2012.6350664

Reconstructing complete MODIS LST based on temperature gradients in northeastern Qinghai-Tibet Plateau

Linghong Ke, Chunqiao Song, Xiaoli Ding

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

11 Citations (Scopus)

Abstract

MODIS LST products provided by NASA may suffer from missing values and noises from various sources, which can degrade the LST quality and hamper its efficient applications. The paper presents an algorithm to reconstruct complete LST image based on regression analysis of LST with elevation in each sliding window, after filtering low-quality and unreliable pixels. Comparison of reconstructed LST with meteorological temperature measurements (T) indicates that LST is significantly correlated with T with an average correlation coefficient of 0.96 and a mean absolute difference (MAE) of 2.02 K. LSTs and Ts show no significant differences at monthly and yearly scale. The differences between LSTs and Ts have certain correlations with their different spatial and temporal definitions; however some residual noises existing in the reconstructed LSTs indicate more meticulous algorithm needed to work out more accurate RS-LST data.

Original language	English
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS)
Pages	3505-3508
Number of pages	4
DOIs	https://doi.org/10.1109/IGARSS.2012.6350664
Publication status	Published - 1 Dec 2012
Event	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012

Conference

Conference	2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/Territory	Germany
City	Munich
Period	22/07/12 → 27/07/12

Keywords

image reconstruction
LST
MODIS
Qinghai-Tibet Plateau

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

More information

10.1109/IGARSS.2012.6350664

Cite this

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title = "Reconstructing complete MODIS LST based on temperature gradients in northeastern Qinghai-Tibet Plateau",

abstract = "MODIS LST products provided by NASA may suffer from missing values and noises from various sources, which can degrade the LST quality and hamper its efficient applications. The paper presents an algorithm to reconstruct complete LST image based on regression analysis of LST with elevation in each sliding window, after filtering low-quality and unreliable pixels. Comparison of reconstructed LST with meteorological temperature measurements (T) indicates that LST is significantly correlated with T with an average correlation coefficient of 0.96 and a mean absolute difference (MAE) of 2.02 K. LSTs and Ts show no significant differences at monthly and yearly scale. The differences between LSTs and Ts have certain correlations with their different spatial and temporal definitions; however some residual noises existing in the reconstructed LSTs indicate more meticulous algorithm needed to work out more accurate RS-LST data.",

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Ke, L, Song, C & Ding, X 2012, Reconstructing complete MODIS LST based on temperature gradients in northeastern Qinghai-Tibet Plateau. in International Geoscience and Remote Sensing Symposium (IGARSS)., 6350664, pp. 3505-3508, 2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012, Munich, Germany, 22/07/12. https://doi.org/10.1109/IGARSS.2012.6350664

Reconstructing complete MODIS LST based on temperature gradients in northeastern Qinghai-Tibet Plateau. / Ke, Linghong; Song, Chunqiao; Ding, Xiaoli.
International Geoscience and Remote Sensing Symposium (IGARSS). 2012. p. 3505-3508 6350664.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Ke, Linghong

AU - Song, Chunqiao

AU - Ding, Xiaoli

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N2 - MODIS LST products provided by NASA may suffer from missing values and noises from various sources, which can degrade the LST quality and hamper its efficient applications. The paper presents an algorithm to reconstruct complete LST image based on regression analysis of LST with elevation in each sliding window, after filtering low-quality and unreliable pixels. Comparison of reconstructed LST with meteorological temperature measurements (T) indicates that LST is significantly correlated with T with an average correlation coefficient of 0.96 and a mean absolute difference (MAE) of 2.02 K. LSTs and Ts show no significant differences at monthly and yearly scale. The differences between LSTs and Ts have certain correlations with their different spatial and temporal definitions; however some residual noises existing in the reconstructed LSTs indicate more meticulous algorithm needed to work out more accurate RS-LST data.

AB - MODIS LST products provided by NASA may suffer from missing values and noises from various sources, which can degrade the LST quality and hamper its efficient applications. The paper presents an algorithm to reconstruct complete LST image based on regression analysis of LST with elevation in each sliding window, after filtering low-quality and unreliable pixels. Comparison of reconstructed LST with meteorological temperature measurements (T) indicates that LST is significantly correlated with T with an average correlation coefficient of 0.96 and a mean absolute difference (MAE) of 2.02 K. LSTs and Ts show no significant differences at monthly and yearly scale. The differences between LSTs and Ts have certain correlations with their different spatial and temporal definitions; however some residual noises existing in the reconstructed LSTs indicate more meticulous algorithm needed to work out more accurate RS-LST data.

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KW - MODIS

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Reconstructing complete MODIS LST based on temperature gradients in northeastern Qinghai-Tibet Plateau

Abstract

Conference

Keywords

ASJC Scopus subject areas

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