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Relation between Seasonally Detrended Shortwave Infrared Reflectance Data and Land Surface Moisture in Semi-Arid Sahel

Olsen, Jorgen L.; Ceccato, Pietro; Proud, Simon R.; Fensholt, Rasmus; Grippa, Manuela; Mougin, Eric; Ardö, Jonas LU and Sandholt, Inge (2013) In Remote Sensing 5(6). p.2898-2927
Abstract
In the Sudano-Sahelian areas of Africa droughts can have serious impacts on natural resources, and therefore land surface moisture is an important factor. Insufficient conventional sites for monitoring land surface moisture make the use of Earth Observation data for this purpose a key issue. In this study we explored the potential of using reflectance data in the Red, Near Infrared (NIR), and Shortwave Infrared (SWIR) spectral regions for detecting short term variations in land surface moisture in the Sahel, by analyzing data from three test sites and observations from the geostationary Meteosat Second Generation (MSG) satellite. We focused on responses in surface reflectance to soil-and surface moisture for bare soil and early to... (More)
In the Sudano-Sahelian areas of Africa droughts can have serious impacts on natural resources, and therefore land surface moisture is an important factor. Insufficient conventional sites for monitoring land surface moisture make the use of Earth Observation data for this purpose a key issue. In this study we explored the potential of using reflectance data in the Red, Near Infrared (NIR), and Shortwave Infrared (SWIR) spectral regions for detecting short term variations in land surface moisture in the Sahel, by analyzing data from three test sites and observations from the geostationary Meteosat Second Generation (MSG) satellite. We focused on responses in surface reflectance to soil-and surface moisture for bare soil and early to mid-growing season. A method for implementing detrended time series of the Shortwave Infrared Water Stress Index (SIWSI) is examined for detecting variations in vegetation moisture status, and is compared to detrended time series of the Normalized Difference Vegetation Index (NDVI). It was found that when plant available water is low, the SIWSI anomalies increase over time, while the NDVI anomalies decrease over time, but less systematically. Therefore SIWSI may carry important complementary information to NDVI in terms of vegetation water status, and can provide this information with the unique combination of temporal and spatial resolution from optical geostationary observations over Sahel. However, the relation between SIWSI anomalies and periods of water stress were not found to be sufficiently robust to be used for water stress detection. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
soil moisture, vegetation, water stress, Earth observation, MSG SEVIRI, SIWSI, NDVI, Sahel, drought
in
Remote Sensing
volume
5
issue
6
pages
2898 - 2927
publisher
MDPI AG
external identifiers
  • wos:000320771100016
  • scopus:84880433754
ISSN
2072-4292
DOI
10.3390/rs5062898
project
BECC
language
English
LU publication?
yes
id
fd7699d4-ea5c-4600-90a8-8ce2a54a282f (old id 3979856)
date added to LUP
2013-09-06 16:07:01
date last changed
2019-09-04 02:09:51
@article{fd7699d4-ea5c-4600-90a8-8ce2a54a282f,
  abstract     = {In the Sudano-Sahelian areas of Africa droughts can have serious impacts on natural resources, and therefore land surface moisture is an important factor. Insufficient conventional sites for monitoring land surface moisture make the use of Earth Observation data for this purpose a key issue. In this study we explored the potential of using reflectance data in the Red, Near Infrared (NIR), and Shortwave Infrared (SWIR) spectral regions for detecting short term variations in land surface moisture in the Sahel, by analyzing data from three test sites and observations from the geostationary Meteosat Second Generation (MSG) satellite. We focused on responses in surface reflectance to soil-and surface moisture for bare soil and early to mid-growing season. A method for implementing detrended time series of the Shortwave Infrared Water Stress Index (SIWSI) is examined for detecting variations in vegetation moisture status, and is compared to detrended time series of the Normalized Difference Vegetation Index (NDVI). It was found that when plant available water is low, the SIWSI anomalies increase over time, while the NDVI anomalies decrease over time, but less systematically. Therefore SIWSI may carry important complementary information to NDVI in terms of vegetation water status, and can provide this information with the unique combination of temporal and spatial resolution from optical geostationary observations over Sahel. However, the relation between SIWSI anomalies and periods of water stress were not found to be sufficiently robust to be used for water stress detection.},
  author       = {Olsen, Jorgen L. and Ceccato, Pietro and Proud, Simon R. and Fensholt, Rasmus and Grippa, Manuela and Mougin, Eric and Ardö, Jonas and Sandholt, Inge},
  issn         = {2072-4292},
  keyword      = {soil moisture,vegetation,water stress,Earth observation,MSG SEVIRI,SIWSI,NDVI,Sahel,drought},
  language     = {eng},
  number       = {6},
  pages        = {2898--2927},
  publisher    = {MDPI AG},
  series       = {Remote Sensing},
  title        = {Relation between Seasonally Detrended Shortwave Infrared Reflectance Data and Land Surface Moisture in Semi-Arid Sahel},
  url          = {http://dx.doi.org/10.3390/rs5062898},
  volume       = {5},
  year         = {2013},
}