Salari, A. and Zakaria, M. and Nielsen, C.C. and Boyce, M.S. (2014) Quantifying Tropical Wetlands Using Field Surveys, Spatial Statistics and Remote Sensing. Wetlands, 34 (3). pp. 565-574.
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Abstract
Tropical wetlands support high biodiversity and ecological services, but in most areas they suffer from a paucity of baseline data to support management. We demonstrate how modern technology can be used to develop ecological baseline data including, landuse/landcover, water depth, water quality, lake-level fluctuation, and normalized difference vegetation index (NDVI). For the first time we quantified and mapped these metrics for the Paya Indah Wetlands, Malaysia using the new high-spatial-resolution World View 2 imagery. Landuse/landcover classifications were validated by field visits and visual interpretation of the imagery. NDVI was extracted based on red and near infra-red 2 bands. Topo to Raster method was used for interpolation of water depths. Annual mean of a water-quality index and annual water-level fluctuation of lakes were interpolated across lakes using the inverse-distance weighting method. Qualitative and quantitative accuracy assessment of classification (75 % overall accuracy, user’s accuracies ranged from 60 % to 90 % and producer’s accuracy ranged from 60 % to 97 %) was promising and clearly illustrated that World View 2 imagery can yield fast and reasonably precise identification of ecosystem characteristics for ecological baselines
Item Type: | Article |
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Uncontrolled Keywords: | Interpolation, Landuse/Landcover, Malaysia, NDVI, Paya Indah Wetlands |
Author Affiliation: | Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada |
Subjects: | Atmosperic Science Environmental Science |
Divisions: | General |
Depositing User: | Ms Ishrath Durafsha |
Date Deposited: | 03 Jun 2014 06:13 |
Last Modified: | 03 Jun 2014 06:13 |
Official URL: | http://dx.doi.org/10.1007/s13157-014-0524-3 |
URI: | http://eprints.icrisat.ac.in/id/eprint/13224 |
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