Monitoring of tropical forest cover and biomass by combining VHR image sample and wall to wall optical and SAR data

Tuomas Häme, Jorma Kilpi, Heikki Ahola, Yrjö Rauste, Laura Sirro, S. Bounpone

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

Abstract

Methods for forest resources inventory for tropical region were developed and tested in Lao PDR. The key element of the study was application of a sample of satellite data with better than one meter ground resolution. Using a hierarchical approach, information from of sample of very high resolution (VHR) image data was combined with lower resolution satellite data of AVNIR and ALOS/PalSAR that were available wall to wall. Theoretical study with the GlobCover data showed that the same accuracy could be achieved in forest area estimation with 1 % stratified sample of VHR data as with 6.25 % non-stratified sample. Good agreement between the visually interpreted VHR plots and wall to wall maps was achieved in land cover classification. In the biomass estimation a value of R2=0.6 was achieved with ground plot test data.
Original languageEnglish
Title of host publicationProceedings of the ESA Living Planet Symposium, Bergen, Norway
Place of PublicationNoordwijk, The Neatherlands
PublisherEuropean Space Agency ESA
ISBN (Print)978-92-9221-250-6
Publication statusPublished - 2010
MoE publication typeNot Eligible
EventESA Living Planet Symposium 2010 - Bergen, Norway
Duration: 28 Jun 20102 Jul 2010

Conference

ConferenceESA Living Planet Symposium 2010
CountryNorway
CityBergen
Period28/06/102/07/10

Keywords

  • forest inventory
  • VHR satellite
  • AVNIR, SAR
  • degradation

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    Häme, T., Kilpi, J., Ahola, H., Rauste, Y., Sirro, L., & Bounpone, S. (2010). Monitoring of tropical forest cover and biomass by combining VHR image sample and wall to wall optical and SAR data. In Proceedings of the ESA Living Planet Symposium, Bergen, Norway European Space Agency ESA.