Spatially-Explicit Testing of a General Aboveground Carbon Density Estimation Model in aWestern Amazonian Forest Using Airborne LiDAR

Molina Simbaña, Patricio Xavier and Farjas Abadía, Mercedes and Ojeda Manrique, Juan Carlos and Sánchez Diez, Luis Alberto and Asner, Greg and Valencia, Renato (2016). Spatially-Explicit Testing of a General Aboveground Carbon Density Estimation Model in aWestern Amazonian Forest Using Airborne LiDAR. "Remote Sensing", v. 8 (n. 1); pp. 1-15. ISSN 2072-4292. https://doi.org/10.3390/rs8010009.

Description

Title: Spatially-Explicit Testing of a General Aboveground Carbon Density Estimation Model in aWestern Amazonian Forest Using Airborne LiDAR
Author/s:
  • Molina Simbaña, Patricio Xavier
  • Farjas Abadía, Mercedes
  • Ojeda Manrique, Juan Carlos
  • Sánchez Diez, Luis Alberto
  • Asner, Greg
  • Valencia, Renato
Item Type: Article
Título de Revista/Publicación: Remote Sensing
Date: January 2016
ISSN: 2072-4292
Volume: 8
Subjects:
Freetext Keywords: Aboveground carbon density; biomass; Ecuador; LiDAR; topographic features; tropical rainforest.
Faculty: E.T.S.I. en Topografía, Geodesia y Cartografía (UPM)
Department: Ingeniería Cartográfica y Topografía
Creative Commons Licenses: Recognition - No derivative works - Non commercial

Full text

[img]
Preview
PDF - Requires a PDF viewer, such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview

Abstract

Mapping aboveground carbon density in tropical forests can support CO2 emissionmonitoring and provide benefits for national resource management. Although LiDAR technology has been shown to be useful for assessing carbon density patterns, the accuracy and generality of calibrations of LiDAR-based aboveground carbon density (ACD) predictions with those obtained from field inventory techniques should be intensified in order to advance tropical forest carbon mapping. Here we present results from the application of a general ACD estimation model applied with small-footprint LiDAR data and field-based estimates of a 50-ha forest plot in Ecuador?s Yasuní National Park. Subplots used for calibration and validation of the general LiDAR equation were selected based on analysis of topographic position and spatial distribution of aboveground carbon stocks. The results showed that stratification of plot locations based on topography can improve the calibration and application of ACD estimation using airborne LiDAR (R2 = 0.94, RMSE = 5.81 Mg?C? ha?1, BIAS = 0.59). These results strongly suggest that a general LiDAR-based approach can be used for mapping aboveground carbon stocks in western lowland Amazonian forests.

More information

Item ID: 38933
DC Identifier: http://oa.upm.es/38933/
OAI Identifier: oai:oa.upm.es:38933
DOI: 10.3390/rs8010009
Official URL: https://doi.org/10.3390/rs8010009
Deposited by: Memoria Investigacion
Deposited on: 21 Jan 2016 12:47
Last Modified: 13 Mar 2019 14:50
  • Logo InvestigaM (UPM)
  • Logo GEOUP4
  • Logo Open Access
  • Open Access
  • Logo Sherpa/Romeo
    Check whether the anglo-saxon journal in which you have published an article allows you to also publish it under open access.
  • Logo Dulcinea
    Check whether the spanish journal in which you have published an article allows you to also publish it under open access.
  • Logo de Recolecta
  • Logo del Observatorio I+D+i UPM
  • Logo de OpenCourseWare UPM