Selective logging of tropical forests observed using L- and C-band SAR satellite data

Oleg Antropov*, Yrjö Rauste, Frank Martin Seifert, Tuomas Häme

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

5 Citations (Scopus)

Abstract

In this paper, potential of space-borne SAR data for monitoring selective logging operations in the tropical forest areas was assessed. Two separate studies were organized for this purpose. Both study sites were located in the northern part of the Republic of the Congo. In the first study, bi-temporal mosaics of ALOS PALSAR data were used in order to map areas affected by logging operations. Data were collected in 2007-2010. Development is in line with other studies and shows promising potential. In the second study, a time series of strip-map C-band SAR data for detecting and monitoring of selective logging activities was assessed. The technique primarily uses multi-temporal aggregation of orthorectified SAR imagery acquired before and after the forest disturbance, followed by the analysis of textural features of SAR backscatter temporal log-ratio image. This is the first successful demonstration of C-band SAR based mapping of selectively logged areas.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherIEEE
Pages3870-3873
Number of pages4
Volume2015-November
ISBN (Electronic)978-1-4799-7929-5
DOIs
Publication statusPublished - 10 Nov 2015
MoE publication typeA4 Article in a conference publication
EventInternational Geoscience and Remote Sensing Symposium - Milan, Italy
Duration: 26 Jul 201531 Jul 2015

Publication series

NameIEEE International Symposium on Geoscience and Remote Sensing IGARSS
PublisherIEEE
ISSN (Print)2153-6996

Conference

ConferenceInternational Geoscience and Remote Sensing Symposium
Abbreviated titleIGARSS
CountryItaly
CityMilan
Period26/07/201531/07/2015

Keywords

  • One
  • two
  • three
  • four
  • five
  • GROWING-STOCK VOLUME
  • TIME-SERIES ANALYSIS
  • BOREAL FORESTS
  • STEM VOLUME
  • DEGRADATION
  • RETRIEVAL
  • BIOMASS
  • IMAGERY

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