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

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

Ministry of Agriculture and Forestry, Laos

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific

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 language	English
Title of host publication	Proceedings of the ESA Living Planet Symposium, Bergen, Norway
Place of Publication	Noordwijk, The Neatherlands
Publisher	European Space Agency (ESA)
ISBN (Print)	978-92-9221-250-6
Publication status	Published - 2010
MoE publication type	Not Eligible
Event	ESA Living Planet Symposium 2010 - Bergen, Norway Duration: 28 Jun 2010 → 2 Jul 2010

Conference

Conference	ESA Living Planet Symposium 2010
Country/Territory	Norway
City	Bergen
Period	28/06/10 → 2/07/10

Keywords

forest inventory
VHR satellite
AVNIR, SAR
degradation

Cite this

@inproceedings{ab429e3996eb41a4b586c10aa82e23a7,

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

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.",

keywords = "forest inventory, VHR satellite, AVNIR, SAR, degradation",

author = "Tuomas H{\"a}me and Jorma Kilpi and Heikki Ahola and Yrj{\"o} Rauste and Laura Sirro and S. Bounpone",

year = "2010",

language = "English",

isbn = "978-92-9221-250-6",

booktitle = "Proceedings of the ESA Living Planet Symposium, Bergen, Norway",

publisher = "European Space Agency (ESA)",

address = "France",

note = "ESA Living Planet Symposium 2010 ; Conference date: 28-06-2010 Through 02-07-2010",

}

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), Noordwijk, The Neatherlands, ESA Living Planet Symposium 2010, Bergen, Norway, 28/06/10.

Monitoring of tropical forest cover and biomass by combining VHR image sample and wall to wall optical and SAR data. / Häme, Tuomas; Kilpi, Jorma; Ahola, Heikki et al.
Proceedings of the ESA Living Planet Symposium, Bergen, Norway. Noordwijk, The Neatherlands: European Space Agency (ESA), 2010.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific

TY - GEN

T1 - Monitoring of tropical forest cover and biomass by combining VHR image sample and wall to wall optical and SAR data

AU - Häme, Tuomas

AU - Kilpi, Jorma

AU - Ahola, Heikki

AU - Rauste, Yrjö

AU - Sirro, Laura

AU - Bounpone, S.

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - forest inventory

KW - VHR satellite

KW - AVNIR, SAR

KW - degradation

M3 - Conference article in proceedings

SN - 978-92-9221-250-6

BT - Proceedings of the ESA Living Planet Symposium, Bergen, Norway

PB - European Space Agency (ESA)

CY - Noordwijk, The Neatherlands

T2 - ESA Living Planet Symposium 2010

Y2 - 28 June 2010 through 2 July 2010

ER -

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

Abstract

Conference

Keywords

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Cite this