Mapping selective logging in tropical forestwith space-borne SAR data

Yrjö Rauste, Oleg Antropov, Tuomas Häme, Gernot Ramminger, Sharon Gomez, Frank Martin Seifert

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

Abstract

A technique was developed for the mapping of selective logging in tropical forest using PALSAR imagery acquired before and after the logging operations. The technique is based on automatic detection of new forest roads and unsupervised classification of textural features, which were computed from a backscatter ratio image. The techniquewas adapted for TerraSAR-X and ENVISAT/ASAR data. The accuracy of a PALSAR-based map of selective logging was assessed against reference plot data interpreted from GeoEye-1 imagery. The user's accuracy of selective logging was 95 %. The overall accuracy was 70.4 %. This is affected by the limited size of the area, which was chosen to include a large proportion of selectively logged forest. The accuracy of a TerraSAR-X-based map of selective logging was 53.6 %, but the user's accuracy of selective logging was 100 %. ALOS-type L-band radar data could be applied in an operational system over country-wide datasets to map newly constructed roads. The 40 % underestimation does not make direct reliable mapping of the area of selective logging possible. Instead, L-band derived maps of selectively logged area and new roads can be used in a wider system to pin-point areas of recent logging activity (as a proxy for forest degradation). The detected areas can then be covered by satellite or airborne optical data or ground surveys. The L-band map of areas with logging activity can also be used for stratification for sampling in a statistical area assessment
Original languageEnglish
Title of host publicationProceedings of the ESA Living Planet Symposium 2013
Place of PublicationNoordwijk, The Netherlands
PublisherEuropean Space Agency ESA
Number of pages5
ISBN (Print)978-92-9221-286-5
Publication statusPublished - 2013
MoE publication typeB3 Non-refereed article in conference proceedings
EventESA Living Planet Symposium 2013 - Edinburgh, United Kingdom
Duration: 9 Sep 201313 Sep 2013
Conference number: ESA SP-722

Conference

ConferenceESA Living Planet Symposium 2013
CountryUnited Kingdom
CityEdinburgh
Period9/09/1313/09/13

Fingerprint

selective logging
synthetic aperture radar
PALSAR
TerraSAR-X
road
imagery
ALOS
unsupervised classification
backscatter
tropical forest
stratification
radar
sampling

Keywords

  • Forestry
  • radar
  • logging
  • ALOS
  • ASAR
  • TerraSAR-X

Cite this

Rauste, Y., Antropov, O., Häme, T., Ramminger, G., Gomez, S., & Seifert, F. M. (2013). Mapping selective logging in tropical forestwith space-borne SAR data. In Proceedings of the ESA Living Planet Symposium 2013 Noordwijk, The Netherlands: European Space Agency ESA.
Rauste, Yrjö ; Antropov, Oleg ; Häme, Tuomas ; Ramminger, Gernot ; Gomez, Sharon ; Seifert, Frank Martin. / Mapping selective logging in tropical forestwith space-borne SAR data. Proceedings of the ESA Living Planet Symposium 2013. Noordwijk, The Netherlands : European Space Agency ESA, 2013.
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title = "Mapping selective logging in tropical forestwith space-borne SAR data",
abstract = "A technique was developed for the mapping of selective logging in tropical forest using PALSAR imagery acquired before and after the logging operations. The technique is based on automatic detection of new forest roads and unsupervised classification of textural features, which were computed from a backscatter ratio image. The techniquewas adapted for TerraSAR-X and ENVISAT/ASAR data. The accuracy of a PALSAR-based map of selective logging was assessed against reference plot data interpreted from GeoEye-1 imagery. The user's accuracy of selective logging was 95 {\%}. The overall accuracy was 70.4 {\%}. This is affected by the limited size of the area, which was chosen to include a large proportion of selectively logged forest. The accuracy of a TerraSAR-X-based map of selective logging was 53.6 {\%}, but the user's accuracy of selective logging was 100 {\%}. ALOS-type L-band radar data could be applied in an operational system over country-wide datasets to map newly constructed roads. The 40 {\%} underestimation does not make direct reliable mapping of the area of selective logging possible. Instead, L-band derived maps of selectively logged area and new roads can be used in a wider system to pin-point areas of recent logging activity (as a proxy for forest degradation). The detected areas can then be covered by satellite or airborne optical data or ground surveys. The L-band map of areas with logging activity can also be used for stratification for sampling in a statistical area assessment",
keywords = "Forestry, radar, logging, ALOS, ASAR, TerraSAR-X",
author = "Yrj{\"o} Rauste and Oleg Antropov and Tuomas H{\"a}me and Gernot Ramminger and Sharon Gomez and Seifert, {Frank Martin}",
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Rauste, Y, Antropov, O, Häme, T, Ramminger, G, Gomez, S & Seifert, FM 2013, Mapping selective logging in tropical forestwith space-borne SAR data. in Proceedings of the ESA Living Planet Symposium 2013. European Space Agency ESA, Noordwijk, The Netherlands, ESA Living Planet Symposium 2013, Edinburgh, United Kingdom, 9/09/13.

Mapping selective logging in tropical forestwith space-borne SAR data. / Rauste, Yrjö; Antropov, Oleg; Häme, Tuomas; Ramminger, Gernot; Gomez, Sharon; Seifert, Frank Martin.

Proceedings of the ESA Living Planet Symposium 2013. Noordwijk, The Netherlands : European Space Agency ESA, 2013.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific

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T1 - Mapping selective logging in tropical forestwith space-borne SAR data

AU - Rauste, Yrjö

AU - Antropov, Oleg

AU - Häme, Tuomas

AU - Ramminger, Gernot

AU - Gomez, Sharon

AU - Seifert, Frank Martin

N1 - Project code: 71966

PY - 2013

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N2 - A technique was developed for the mapping of selective logging in tropical forest using PALSAR imagery acquired before and after the logging operations. The technique is based on automatic detection of new forest roads and unsupervised classification of textural features, which were computed from a backscatter ratio image. The techniquewas adapted for TerraSAR-X and ENVISAT/ASAR data. The accuracy of a PALSAR-based map of selective logging was assessed against reference plot data interpreted from GeoEye-1 imagery. The user's accuracy of selective logging was 95 %. The overall accuracy was 70.4 %. This is affected by the limited size of the area, which was chosen to include a large proportion of selectively logged forest. The accuracy of a TerraSAR-X-based map of selective logging was 53.6 %, but the user's accuracy of selective logging was 100 %. ALOS-type L-band radar data could be applied in an operational system over country-wide datasets to map newly constructed roads. The 40 % underestimation does not make direct reliable mapping of the area of selective logging possible. Instead, L-band derived maps of selectively logged area and new roads can be used in a wider system to pin-point areas of recent logging activity (as a proxy for forest degradation). The detected areas can then be covered by satellite or airborne optical data or ground surveys. The L-band map of areas with logging activity can also be used for stratification for sampling in a statistical area assessment

AB - A technique was developed for the mapping of selective logging in tropical forest using PALSAR imagery acquired before and after the logging operations. The technique is based on automatic detection of new forest roads and unsupervised classification of textural features, which were computed from a backscatter ratio image. The techniquewas adapted for TerraSAR-X and ENVISAT/ASAR data. The accuracy of a PALSAR-based map of selective logging was assessed against reference plot data interpreted from GeoEye-1 imagery. The user's accuracy of selective logging was 95 %. The overall accuracy was 70.4 %. This is affected by the limited size of the area, which was chosen to include a large proportion of selectively logged forest. The accuracy of a TerraSAR-X-based map of selective logging was 53.6 %, but the user's accuracy of selective logging was 100 %. ALOS-type L-band radar data could be applied in an operational system over country-wide datasets to map newly constructed roads. The 40 % underestimation does not make direct reliable mapping of the area of selective logging possible. Instead, L-band derived maps of selectively logged area and new roads can be used in a wider system to pin-point areas of recent logging activity (as a proxy for forest degradation). The detected areas can then be covered by satellite or airborne optical data or ground surveys. The L-band map of areas with logging activity can also be used for stratification for sampling in a statistical area assessment

KW - Forestry

KW - radar

KW - logging

KW - ALOS

KW - ASAR

KW - TerraSAR-X

M3 - Conference article in proceedings

SN - 978-92-9221-286-5

BT - Proceedings of the ESA Living Planet Symposium 2013

PB - European Space Agency ESA

CY - Noordwijk, The Netherlands

ER -

Rauste Y, Antropov O, Häme T, Ramminger G, Gomez S, Seifert FM. Mapping selective logging in tropical forestwith space-borne SAR data. In Proceedings of the ESA Living Planet Symposium 2013. Noordwijk, The Netherlands: European Space Agency ESA. 2013