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

Abstract

A multisource and multiresolution method was developed for estimating large area tree stein volume of growing stock and aboveground biomass or 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 ir. 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. (C) 2002 Elsevier Science Ire. All rights reserved.

Published in

Remote Sensing of Environment
2002, volume: 82, number: 1, pages: 156-171
Publisher: ELSEVIER SCIENCE INC

SLU Authors

• Nilsson, Mats

  • Sveriges lantbruksuniversitet, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Forest Science

Publication identifier

• DOI: https://doi.org/10.1016/S0034-4257(02)00031-7

Permanent link to this page (URI)

https://res.slu.se/id/publ/41239