IMIS

Publications | Institutes | Persons | Datasets | Projects | Maps
[ report an error in this record ]basket (0): add | show Print this page

Regression-bases synergy of optical, shorwave infrared and microwave remote sensing for monitoring the grain-size of intertidal sediments
van der Wal, D.; Herman, P.M.J. (2007). Regression-bases synergy of optical, shorwave infrared and microwave remote sensing for monitoring the grain-size of intertidal sediments. Remote Sens. Environ. 111(1): 89-106. http://dx.doi.org/10.1016/j.rse.2007.03.019
In: Remote Sensing of Environment. Elsevier: New York,. ISSN 0034-4257; e-ISSN 1879-0704, more
Peer reviewed article  

Available in  Authors 

Keywords
    Dimensions > Size > Particle size
    Mapping
    Multisensor data fusion
    Sediments > Clastics > Mud
    Marine/Coastal; Brackish water
Author keywords
    SAR; VNIR; SWIR; Mud; Particle size; Multi-sensor data fusion; Mapping

Authors  Top 
  • van der Wal, D., more
  • Herman, P.M.J.

Abstract
    A method is developed for monitoring the sediment grain-size of intertidal flats in the Westerschelde (southwest Netherlands), using information from both space-borne microwave (SAR) and optical/shortwave infrared remote sensing. Estimates of the backscattering coefficient were extracted from time-series of C-band ERS SAR imagery. Surface reflectance in the visible, near-infrared (VNIR) and shortwave infrared (SWIR) part of the electromagnetic spectrum, as well as spectral indices, were derived from matching multi-temporal Landsat TM imagery. In addition, surface reflectances were derived from a set of airborne multispectral (VNIR) CASI images, and hyperspectral (VNIR) measurements using a field spectroradiometer. The data were related to matching field measurements of surface characteristics, including sediment properties. Regression-based algorithms were developed to map the spatio-temporal distribution of mud content using (a) the C-band SAR backscattering coefficient, (b) surface reflectance in the green and SWIR, and (c) a combination of these, with corroborative field measurements. Mud content of the sediment has been successfully mapped by all three algorithms, but a combination of information from microwave and VNIR/SWIR provided best results. The algorithms were generally consistent in time, making them suitable for generating time-series and for monitoring. However, they should be validated and calibrated in order to be applicable to other intertidal areas.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors