Carbon inventory in a fragment of Mixed Ombrophylous Forest by remote sensing

Authors

  • Henrique Luis Godinho Cassol Instituto Nacional de Pesquisas Espaciais
  • Dejanira Luderitz Saldanha Universidade Federal do Rio Grande do Sul
  • Tatiana Mora Kuplich Instituto Nacional de Pesquisas Espaciais

DOI:

https://doi.org/10.5380/rf.v44i4.33014

Keywords:

Estoque de carbono, sensoriamento remoto, ASTER, TM, LISS.

Abstract

Abstract

The research aims to make inventory of carbon of a fragment of Araucaria Forest using data from medium spatial resolution sensors. Satellite data from ASTER, TM and LISS were used to obtain the radiometric data. The above ground biomass and carbon data (biophysical data) were derived from the continuous forest inventory located in São João do Triunfo, PR. The methodology consisted of establishing the empirical relationship between spectral and biophysical data sets using linear regression. Except for the TM data, which showed unsatisfactory results, the use of ASTER and LISS satellite data was suited to forest carbon inventory by remote sensing, with errors lower than those set in traditional inventory campaigns (α < 0,05).

Keywords: Carbon stock; remote sensing; ASTER; TM; LISS.

Author Biographies

Henrique Luis Godinho Cassol, Instituto Nacional de Pesquisas Espaciais

Eng. Florestal - UFSM, Msc. Sensoriamento Remoto - UFRGS, Doutorando Sensoriamento Remoto - INPE

Dejanira Luderitz Saldanha, Universidade Federal do Rio Grande do Sul

Geóloga - UFRGS, Msc. e Dra. Geociências, Prof. Departamento de Geociências - UFRGS

Tatiana Mora Kuplich, Instituto Nacional de Pesquisas Espaciais

Bióloga - UFRGS, Msc. Sensoriamento Remoto - INPE, Dra. Geografia - University of Southampton - Inglaterra, Pesquisadora do INPE Centro Regional Sul - CRS

How to Cite

Cassol, H. L. G., Saldanha, D. L., & Kuplich, T. M. (2014). Carbon inventory in a fragment of Mixed Ombrophylous Forest by remote sensing. Floresta, 44(4), 697–708. https://doi.org/10.5380/rf.v44i4.33014

Issue

Section

Artigos