Article

Semi-automatic classification of tree species in different forest ecosystems by spectral and geometric variables derived from Airborne Digital Sensor (ADS40) and RC30 data

2011-01-01

Abstract excerpt

This study presents an approach for semi-automated classification of tree species in different types of forests using first and second generation ADS40 and RC30 images from two study areas located in the Swiss Alps. In a first step, high-resolution canopy height models (CHMs) were generated from the ADS40 stereo-images. In a second step, multi-resolution image segmentation was applied. Based on image segments seve...

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Literature Corpus work: bbb309b7-4248-574a-9376-070aa2ac9ee4
DOI: 10.1016/j.rse.2010.08.006

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