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Title: Seasonally-managed wetland footprint delineation using Landsat ETM+ satellite imagery

One major challenge in water resource management is the estimation of evapotranspiration losses from seasonally managed wetlands. Quantifying these losses is complicated by the dynamic nature of the wetlands' areal footprint during the periods of flood-up and drawdown. In this paper, we present a data-lean solution to this problem using an example application in the San Joaquin Basin, California. Through analysis of high-resolution Landsat Enhanced Thematic Mapper Plus (ETM+) satellite imagery, we develop a metric to better capture the extent of total flooded wetland area. The procedure is validated using year-long, continuously-logged field datasets for two wetlands within the study area. The proposed classification which uses a Landsat ETM + Band 5 (mid-IR wavelength) to Band 2 (visible green wavelength) ratio improves estimates by 30–50% relative to previous wetland delineation studies. Finally, requiring modest ancillary data, the study results provide a practical and efficient option for wetland management in data-sparse regions or un-gauged watersheds.
 [1] ;  [2]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Arizona State Univ., Tempe, AZ (United States). School of Sustainable Engineering and the Built Environment
Publication Date:
OSTI Identifier:
Report Number(s):
Journal ID: ISSN 1364-8152
DOE Contract Number:
Resource Type:
Journal Article
Resource Relation:
Journal Name: Environmental Modelling and Software; Journal Volume: 54
Research Org:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org:
USDOE Center for Science and Engineering Education; US Bureau of Reclamation (BR). Resource Management Division (MP-400)
Contributing Orgs:
Arizona State Univ., Tempe, AZ (United States)
Country of Publication:
United States
54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES Remote sensing; Environmental decision support; Water resource management; Wetlands; Ecohydrology; Basin hydrology