The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-3/W12-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W12-2020, 331–336, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-331-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W12-2020, 331–336, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-331-2020

  06 Nov 2020

06 Nov 2020

ASSESSMENT OF VOLUME AND ABOVE-GROUND BIOMASS IN ARAUCARIA FOREST THROUGH SATELLITE IMAGES, COMPARING DIFFERENT METHODS IN THE SOUTH OF CHILE

F. Pirotti1,2, E. Kutchartt1, and E. Csaplovics3 F. Pirotti et al.
  • 1TESAF Department, University of Padova, Via dell’Università 16, 35020 Legnaro (PD), Italy
  • 2CIRGEO, Interdepartmental Research Center of Geomatics, University of Padova, Via dell’Università 16, 35020 Legnaro (PD), Italy
  • 3Institute of Photogrammetry and Remote Sensing, Faculty of Environmental Sciences. Technische Universität Dresden, Germany

Keywords: above-ground forest biomass, Remote Sensing, SAR backscatter, Landsat, wavelets

Abstract. Initial results of biomass estimation in the La Fusta area from existing equations found in literature are presented. As expected, accuracy of general equations suffer from the equation coefficients being obtained from fitting training data from different sites. It is also clear from the results that there is a high variance between different methods, in particular when complex data mixture is applied. Biomass is difficult to assess for dense forests, as pixels are saturated. This must be considered when planning field-data collection, with more samples in dense forest to provide more robust estimators from the training phase. The SAR-only (PALSAR) method from eq. 4 provided the most bias in results, overestimating with respect to the other methods.