Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment

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Standard

Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment. / Fensholt, Rasmus; Sandholt, Inge.

I: Remote Sensing of Environment, Bind 87, Nr. 1, 15.09.2003, s. 111-121.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Fensholt, R & Sandholt, I 2003, 'Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment', Remote Sensing of Environment, bind 87, nr. 1, s. 111-121. https://doi.org/10.1016/j.rse.2003.07.002

APA

Fensholt, R., & Sandholt, I. (2003). Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment. Remote Sensing of Environment, 87(1), 111-121. https://doi.org/10.1016/j.rse.2003.07.002

Vancouver

Fensholt R, Sandholt I. Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment. Remote Sensing of Environment. 2003 sep. 15;87(1):111-121. https://doi.org/10.1016/j.rse.2003.07.002

Author

Fensholt, Rasmus ; Sandholt, Inge. / Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment. I: Remote Sensing of Environment. 2003 ; Bind 87, Nr. 1. s. 111-121.

Bibtex

@article{d2cd5189f3a14d5cb5fcb41e73289487,
title = "Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment",
abstract = "Two different configurations of a shortwave infrared water stress index (SIWSI) are derived from the MODIS near- and shortwave infrared data. A large absorption by leaf water occurs in the shortwave infrared wavelengths (SWIR) and the reflectance from plants thereby is negatively related to leaf water content. Two configurations of a water stress index, SIWSI(6,2) and SIWSI(5,2) are derived on a daily basis from the MODIS satellite data using the information from the near infrared (NIR) channel 2 (841-876 nm) and the shortwave infrared channel 5 (1230-1250 nm) or 6 (1628-1652 nm), respectively, which are wavelength bands at which leaf water content influence the radiometric response. The indices are compared to in situ top layer soil moisture measurements from the semiarid Senegal 2001 and 2002, serving as an indicator of canopy water content. The year 2001 rainfall in the region was slightly below average and the results show a strong correlation between SIWSI and soil moisture. The SIWSI(6,2) performs slightly better than the SIWSI(5,2) (r2 = 0.87 and 0.79). The fieldwork in 2002 did not verify the results found in 2001. However, year 2002 was an extremely dry year and the vegetation cover apparently was too sparse to provide information on the canopy water content. To test the robustness of the SIWSI findings in 2001, soil moisture has been modelled from daily rainfall data at 10 sites in the central and northern part of Senegal. The correlations between SIWSI and simulated soil moisture are generally high with a median r2 = 0.72 for both configurations of the SIWSI. It is therefore suggested that the combined information from the MODIS near- and shortwave infrared wavelengths is useful as an indicator of canopy water stress in the semiarid Sahelian environment.",
keywords = "MODIS satellite data, Rainfall, Sahel, Shortwave infrared water stress index (SIWSI), Soil moisture, Vegetation index",
author = "Rasmus Fensholt and Inge Sandholt",
year = "2003",
month = sep,
day = "15",
doi = "10.1016/j.rse.2003.07.002",
language = "English",
volume = "87",
pages = "111--121",
journal = "Remote Sensing of Environment",
issn = "0034-4257",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment

AU - Fensholt, Rasmus

AU - Sandholt, Inge

PY - 2003/9/15

Y1 - 2003/9/15

N2 - Two different configurations of a shortwave infrared water stress index (SIWSI) are derived from the MODIS near- and shortwave infrared data. A large absorption by leaf water occurs in the shortwave infrared wavelengths (SWIR) and the reflectance from plants thereby is negatively related to leaf water content. Two configurations of a water stress index, SIWSI(6,2) and SIWSI(5,2) are derived on a daily basis from the MODIS satellite data using the information from the near infrared (NIR) channel 2 (841-876 nm) and the shortwave infrared channel 5 (1230-1250 nm) or 6 (1628-1652 nm), respectively, which are wavelength bands at which leaf water content influence the radiometric response. The indices are compared to in situ top layer soil moisture measurements from the semiarid Senegal 2001 and 2002, serving as an indicator of canopy water content. The year 2001 rainfall in the region was slightly below average and the results show a strong correlation between SIWSI and soil moisture. The SIWSI(6,2) performs slightly better than the SIWSI(5,2) (r2 = 0.87 and 0.79). The fieldwork in 2002 did not verify the results found in 2001. However, year 2002 was an extremely dry year and the vegetation cover apparently was too sparse to provide information on the canopy water content. To test the robustness of the SIWSI findings in 2001, soil moisture has been modelled from daily rainfall data at 10 sites in the central and northern part of Senegal. The correlations between SIWSI and simulated soil moisture are generally high with a median r2 = 0.72 for both configurations of the SIWSI. It is therefore suggested that the combined information from the MODIS near- and shortwave infrared wavelengths is useful as an indicator of canopy water stress in the semiarid Sahelian environment.

AB - Two different configurations of a shortwave infrared water stress index (SIWSI) are derived from the MODIS near- and shortwave infrared data. A large absorption by leaf water occurs in the shortwave infrared wavelengths (SWIR) and the reflectance from plants thereby is negatively related to leaf water content. Two configurations of a water stress index, SIWSI(6,2) and SIWSI(5,2) are derived on a daily basis from the MODIS satellite data using the information from the near infrared (NIR) channel 2 (841-876 nm) and the shortwave infrared channel 5 (1230-1250 nm) or 6 (1628-1652 nm), respectively, which are wavelength bands at which leaf water content influence the radiometric response. The indices are compared to in situ top layer soil moisture measurements from the semiarid Senegal 2001 and 2002, serving as an indicator of canopy water content. The year 2001 rainfall in the region was slightly below average and the results show a strong correlation between SIWSI and soil moisture. The SIWSI(6,2) performs slightly better than the SIWSI(5,2) (r2 = 0.87 and 0.79). The fieldwork in 2002 did not verify the results found in 2001. However, year 2002 was an extremely dry year and the vegetation cover apparently was too sparse to provide information on the canopy water content. To test the robustness of the SIWSI findings in 2001, soil moisture has been modelled from daily rainfall data at 10 sites in the central and northern part of Senegal. The correlations between SIWSI and simulated soil moisture are generally high with a median r2 = 0.72 for both configurations of the SIWSI. It is therefore suggested that the combined information from the MODIS near- and shortwave infrared wavelengths is useful as an indicator of canopy water stress in the semiarid Sahelian environment.

KW - MODIS satellite data

KW - Rainfall

KW - Sahel

KW - Shortwave infrared water stress index (SIWSI)

KW - Soil moisture

KW - Vegetation index

UR - http://www.scopus.com/inward/record.url?scp=0142123253&partnerID=8YFLogxK

U2 - 10.1016/j.rse.2003.07.002

DO - 10.1016/j.rse.2003.07.002

M3 - Journal article

AN - SCOPUS:0142123253

VL - 87

SP - 111

EP - 121

JO - Remote Sensing of Environment

JF - Remote Sensing of Environment

SN - 0034-4257

IS - 1

ER -

ID: 251636291