@article{RN759,
   author = {Tomppo, Erkki and Nilsson, Mats and Rosengren, Mats and Aalto, Paula and Kennedy, Pamela},
   title = {Simultaneous use of Landsat-TM and IRS-1C WiFS data in estimating large area tree stem volume and aboveground biomass},
   journal = {Remote Sensing of Environment},
   volume = {82},
   number = {1},
   pages = {156-171},
   abstract = {A multisource and multiresolution 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 nonlinear 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 447000 ha was 84.2 m 3 ha -1 . This compared with 87.2 m 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. © 2002 Elsevier Science Inc. All rights reserved.},
   ISSN = {00344257},
   DOI = {10.1016/S0034-4257(02)00031-7},
   year = {2002},
   type = {Journal Article}
}

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