NDLI: Mapping wetlands and riparian areas using Landsat ETM+ imagery and decision-tree-based models

Content Provider	Springer Nature Link
Author	Baker, Corey Lawrence, Rick Montagne, Clifford Patten, Duncan
Copyright Year	2006
Abstract	The location and distribution of wetlands and riparian zones influence the ecological functions present on a landscape. Accurate and easily reproducible land-cover maps enable monitoring of land-management decisions and ultimately a greater understanding of landscape ecology. Multi-season Landsat ETM+ imagery from 2001 combined with ancillary topographic and soils data were used to map wetland and riparian systems in the Gallatin Valley of Southwest Montana, USA. Classification Tree Analysis (CTA) and Stochastic Gradient Boosting (SGB) decision-tree-based classification algorithms were used to distinguish wetlands and riparian areas from the rest of the landscape. CTA creates a single classification tree using a one-step-look-ahead procedure to reduce variance. SGB uses classification errors to refine tree development and incorporates multiple tree results into a single best classification. The SGB classification (86.0% overall accuracy) was more effective than CTA (73.1% overall accuracy) at detecting a variety of wetlands and riparian zones present on this landscape.
Starting Page	465
Ending Page	474
Page Count	10
File Format	PDF
ISSN	02775212
Journal	Wetlands
Volume Number	26
Issue Number	2
e-ISSN	19436246
Language	English
Publisher	Springer Netherlands
Publisher Date	2006-01-01
Publisher Institution	Society of Wetland Scientists
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	wetland mapping riparian zones Landsat decision tree classification stochastic gradient boosting classification tree analysis Freshwater & Marine Ecology Environmental Management Ecology Hydrogeology Coastal Sciences Landscape Ecology
Content Type	Text
Resource Type	Article
Subject	Ecology Environmental Chemistry

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