HERRAMIENTA PARA LA MEDICIÓN DE BIOMASA FORESTAL SOBRE LA SUPERFICIE UTILIZANDO TELEDETECCIÓN
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The tool for measuring forest biomass over the surface using remote sensing is designed to estimate the average density of above-ground live biomass (ALFB) in a specific area of interest (AOI) at a particular point in time.
2015 · 30 pages

Abstract
This tool is intended for use with methodologies approved by the Verified Carbon Standard (VCS) within the scope of Agriculture, Forestry, and Other Land Use (AFOLU) projects that involve the estimation of forest biomass. The tool utilizes the latest versions of several tools and methodologies, including the CDM 03 instrument for calculating the number of sampling plots for measurements within project activities, the CDM instrument for estimating carbon reserves and changes in carbon reserves of trees and shrubs in project activities, and the VCS VM0006 methodology for accounting for carbon in project activities that reduce deforestation and degradation. The tool's main procedures include remote and field sampling, development of a prediction model, estimation of error and uncertainty, and discard-based estimations. The tool is designed to estimate the average density of ALFB in a specific AOI at a particular point in time, and it is not intended for detecting changes in ALFB over time or for mapping carbon density. The tool is limited to categories of projects within the AFOLU scope where there is presence of forest and a requirement for ALFB estimation. The tool's definitions include above-ground live biomass (ALFB), area-weighted, area of interest (AOI), calibration curve (CP), land use and land cover (LULC), estimator dependent on the model (MDE), prediction model (PM), remote sensing (RS), sampling unit of remote sensing (RSSU), root mean square error (RMSE), sampling plot (SP), and validation plot (VP). The tool's conditions of applicability include the requirement for a minimum number of sampling plots, a minimum area of interest, and a minimum number of remote sensing units. The tool's accuracy is dependent on the quality of the remote sensing data and the accuracy of the prediction model. The tool's methodology involves several steps, including stratification of the AOI, sampling, prediction, and discard-based estimations. The tool's output includes an estimate of the average density of ALFB in the AOI, as well as an estimate of the error and uncertainty associated with the estimate. The tool's development was funded by the United States Agency for International Development (USAID) through the BIOREDD+ project, and it was developed by Terra Global Capital LLC. The tool is intended for use by project developers and validators within the AFOLU scope, and it is designed to provide a cost-effective and accurate method for estimating forest biomass over the surface using remote sensing.
Classification
USAID DEC