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Simultaneous use of Landsat-TM and IRS-1C WiFS data in estimating large area tree stem volume and aboveground biomass

Project ID: 39
Funded under: FP5-JRC


A multi-source and multi-resolution method was developed for estimating large area tree stem volume of growing stock and aboveground biomass of trees. Combined Landsat-TM data and IRS-1C WiFS data, together with field data of National Forest Inventories (NFIs), were applied. Landsat-TM data were used as an intermediate step between the field data and WiFS pixels. A nonparametric k-nearest neighbour (k-nn) estimation method was applied with Landsat-TM data and field plot data from the Swedish National Forest Inventory (SNFI). A non-linear regression analysis was used in deriving models for volume and biomass as a function of WiFS data. The estimates were evaluated by applying independent estimates from the Finnish Multi-source National Forest Inventory (MS-FNFI): The estimates are derived using field plots from the Finnish National Forest Inventory (FNFI) and Landsat-TM images. Mean volume as estimated from the Finnish multisource data for a study area of 447 000 ha was 84.2m{3} ha{-1}. This compared with 87.2m{3} ha{-1} as derived from the developed method presented in this paper. The corresponding estimates for aboveground tree biomass were 59.5 and 58.3 tons ha{-1}, respectively.

Additional information

Authors: TOMPPO E, Finnish Forest Research Institute, Helsinki (FI);NILSSON M, Swedish University of Agricultural Sciences, Umeå (SE);ROSENGREN M, Metria (SE);AALTO P, Stora Enso Forest Cosulting Oy Ltd., Vantaq (FI);KENNEDY P, European Commission, Joint Research Centre, Space Applications Institute, Environment and Geo-Information (EGEO) Unit, Ispra (IT)
Bibliographic Reference: An article published in: Remote Sensing of Environment, Volume 82, Issue 1, (September 2002), pp.156-171
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