Remote sensing change detection methods to track deforestation and growth in threatened rainforests in Madre de Dios, Peru
Links
- More information: Publisher Index Page (via DOI)
- Download citation as: RIS | Dublin Core
Abstract
Two forestry-change detection methods are described, compared, and contrasted for estimating deforestation and growth in threatened forests in southern Peru from 2000 to 2010. The methods used in this study rely on freely available data, including atmospherically corrected Landsat 5 Thematic Mapper and Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation continuous fields (VCF). The two methods include a conventional supervised signature extraction method and a unique self-calibrating method called MODIS VCF guided forest/nonforest (FNF) masking. The process chain for each of these methods includes a threshold classification of MODIS VCF, training data or signature extraction, signature evaluation, k-nearest neighbor classification, analyst-guided reclassification, and postclassification image differencing to generate forest change maps. Comparisons of all methods were based on an accuracy assessment using 500 validation pixels. Results of this accuracy assessment indicate that FNF masking had a 5% higher overall accuracy and was superior to conventional supervised classification when estimating forest change. Both methods succeeded in classifying persistently forested and nonforested areas, and both had limitations when classifying forest change.
Study Area
Publication type | Article |
---|---|
Publication Subtype | Journal Article |
Title | Remote sensing change detection methods to track deforestation and growth in threatened rainforests in Madre de Dios, Peru |
Series title | Journal of Applied Remote Sensing |
DOI | 10.1117/1.JRS.9.096040 |
Volume | 9 |
Issue | 1 |
Year Published | 2015 |
Language | English |
Publisher | SPIE |
Contributing office(s) | Eastern Geographic Science Center |
Description | e096040: 15 p. |
Country | Peru |
State | Madre de Dios |
Online Only (Y/N) | N |
Additional Online Files (Y/N) | N |
Google Analytic Metrics | Metrics page |