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Forest stand volume estimation using IRS_P6 (LISS_IV) data (Case study: Lirehsar, Tonekabon)


Azizi, Z; Najafi, A; Fatehi, P; Pir Bavaghar, M (2010). Forest stand volume estimation using IRS_P6 (LISS_IV) data (Case study: Lirehsar, Tonekabon). Iranian Journal of Forest and Poplar Research, 18(1):143-151.

Abstract

Stand volume is an important criterion in forest sciences for monitoring status and function of forests, estimation of productivity, prediction and modeling of forest disturbance, economic and environmental issues and forest planning. The aim of this research is evaluation of the LISS_IV sensor of IRS_P6 satellite data ability for forest timber volume estimation. The study area (1240 ha) is located in watershed No. 35 (Lirehsar) of Mazandaran province. Using systematic random method, 87 circular plots with 0.1 ha area were measured to study the relationship between forest stand volume and satellite data. Correspondent digital data to plots were extracted from spectral and considered as independent variables. Original stand volume data, square root and logarithm of them were considered as dependent variables. Using stepwise regression, the best model (Log V= 8.64–0.19Mb3–0.044Rb3) respect to some criteria including RMSE, bias and correlation coefficient was chosen, while the value of criteria were 32.5%, 12.6% and 0.83%, respectively. Result showed that spectral data of the mentioned sensor have a moderate potential for stand volume estimation.

Abstract

Stand volume is an important criterion in forest sciences for monitoring status and function of forests, estimation of productivity, prediction and modeling of forest disturbance, economic and environmental issues and forest planning. The aim of this research is evaluation of the LISS_IV sensor of IRS_P6 satellite data ability for forest timber volume estimation. The study area (1240 ha) is located in watershed No. 35 (Lirehsar) of Mazandaran province. Using systematic random method, 87 circular plots with 0.1 ha area were measured to study the relationship between forest stand volume and satellite data. Correspondent digital data to plots were extracted from spectral and considered as independent variables. Original stand volume data, square root and logarithm of them were considered as dependent variables. Using stepwise regression, the best model (Log V= 8.64–0.19Mb3–0.044Rb3) respect to some criteria including RMSE, bias and correlation coefficient was chosen, while the value of criteria were 32.5%, 12.6% and 0.83%, respectively. Result showed that spectral data of the mentioned sensor have a moderate potential for stand volume estimation.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:Persian
Date:2010
Deposited On:09 Apr 2013 08:20
Last Modified:30 Jul 2020 08:51
Publisher:Research Institute of Forests and Rangelands
ISSN:1735-0883
OA Status:Closed
Related URLs:http://www.sid.ir/en/ViewPaper.asp?ID=256624&vRadif=13&vWriter=AZIZI%20Z.,NAJAFI%20A.,FATEHI%20P.,PIR%20BAVAGHAR%20M.&vJournal=IRANIAN+JOURNAL+OF+FOREST+AND+POPLAR+RESEARCH&vDate=SPRING%202010&vVolume=18&vNo=1%20(39)&vStart=143&vEnd=151 (Publisher)