A composite DOP approach to excluding bottom reflectance in mapping water parameters of shallow coastal zones from TM imagery

Islam, A, Gao, J, Ahmad, W, Neil, D and Bell, P (2004) A composite DOP approach to excluding bottom reflectance in mapping water parameters of shallow coastal zones from TM imagery. Remote Sensing of Environment, 92 1: 40-51.


Author Islam, A
Gao, J
Ahmad, W
Neil, D
Bell, P
Title A composite DOP approach to excluding bottom reflectance in mapping water parameters of shallow coastal zones from TM imagery
Journal name Remote Sensing of Environment  (ERA 2012 Listed)    (ERA 2010 Rank A*)   Check publisher's open access policy
Publication date 2004
Sub-type Article
DOI 10.1016/j.rse.2004.05.006
Volume number 92
Issue number 1
ISSN 0034-4257
Start page 40
End page 51
Total pages 12
Editor M E Bauer
Place of publication USA
Publisher Elsevier Inc.
Collection year 2004
Language eng
Subject C1
290699 Chemical Engineering not elsewhere classified
770402 Land and water management
Abstract In this paper we proposed a composite depth of penetration (DOP) approach to excluding bottom reflectance in mapping water quality parameters from Landsat thematic mapper (TM) data in the shallow coastal zone of Moreton Bay, Queensland, Australia. Three DOPs were calculated from TM1, TM2 and TM3, in conjunction with bathymetric data, at an accuracy ranging from +/-5% to +/-23%. These depths were used to segment the image into four DOP zones. Sixteen in situ water samples were collected concurrently with the recording of the satellite image. These samples were used to establish regression models for total suspended sediment (TSS) concentration and Secchi depth with respect to a particular DOP zone. Containing identical bands and their transformations for both parameters, the models are linear for TSS concentration, logarithmic for Secchi depth. Based on these models, TSS concentration and Secchi depth were mapped from the satellite image in respective DOP zones. Their mapped patterns are consistent with the in situ observed ones. Spatially, overestimation and underestimation of the parameters are restricted to localised areas but related to the absolute value of the parameters. The mapping was accomplished more accurately using multiple DOP zones than using a single zone in shallower areas. The composite DOP approach enables the mapping to be extended to areas as shallow as <3 m. (C) 2004 Elsevier Inc. All rights reserved.
Keyword Environmental Sciences
Remote Sensing
Imaging Science & Photographic Technology
Water Quality
Depth Of Penetration
Quantitative Remote Sensing
Shallow Coastal Zone
Multispectral Imagery
Quality
Sea
Q-Index Code C1

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 9 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 6 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Access Statistics: 109 Abstract Views  -  Detailed Statistics
Created: Wed, 15 Aug 2007, 04:40:15 EST