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Using Large-scale Multispectral Transect Mapping to Classify Satellite Imagery

As illustrated by this example of a Landsat image over the Los Amigos Conservation Concession in southeastern Peru, flying a grid pattern of high resolution multispectral imagery, and mapping its vegetation provides a geographically distributed set of species-level transects that can drive the classification of smaller scale digital coverage or satellite imagery.

©Winrock International reproduced with their permission for illustrative purposes

The Los Amigos Conservation Concession was flown with a spaced set of 15-cm images and laser profiles compiled into mosaics and 1-meter DEMs delineating topography and species composition at the individual tree level. In addition to identifying logging sites, its vegetation was interpreted and classified as a distributed sample of ground-truth data.

Los Amigos Landsat Imagery with transects

©Winrock International reproduced with their permission for illustrative purposes

Flown at 1,000 feet above ground, these data were much less expensive to acquire than complete coverage. Since the radiometric bands match Landsat’s, they could be used to identify the mixture models of spectral signatures needed to classify the Landsat image at the community level.

Home • LAND COVER MAPPING OVERVIEW • Mapping Vegetation at the Species and Individual Tree Level • Using Large-Scale Multispectral Transect Mapping to Classify Satellite Imagery • Comparison of Resource Mapping Imagery to Ikonos Satellite Imagery • Estimating Crop Production of Small Land-holder Farmers