Assessment of volume and above-ground biomass in araucaria forest through satellite images, comparing different methods in the south of Chile
Research output: Contribution to journal › Conference article › Contributed › peer-review
Contributors
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.
Details
Original language | English |
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Pages (from-to) | 331-336 |
Number of pages | 6 |
Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
Volume | 42 |
Issue number | 3/W12 |
Publication status | Published - 4 Nov 2020 |
Peer-reviewed | Yes |
Conference
Title | 2020 IEEE Latin American GRSS and ISPRS Remote Sensing Conference, LAGIRS 2020 |
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Duration | 22 - 26 March 2020 |
City | Santiago |
Country | Chile |
Keywords
ASJC Scopus subject areas
Keywords
- Above-ground forest biomass, Landsat, Remote sensing, SAR backscatter, Wavelets