Using Google Earth Surface Metrics to Predict Plant Species Richness in a Complex Landscape

Using Google Earth Surface Metrics to Predict Plant Species Richness in a Complex Landscape

Google Earth provides a freely available, global mosaic of high-resolution imagery from different sensors that has become popular in environmental and ecological studies. However, such imagery lacks the near-infrared band often used in studying vegetation, thus its potential for estimating vegetatio...

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Bibliographic Details
Main Authors: Sebastián Block, Edgar J. González, J. Alberto Gallardo-Cruz, Ana Fernández, Jonathan V. Solórzano, Jorge A. Meave
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Remote Sensing
Subjects:
image surface metrics
Google Earth
SPOT
species richness estimation
vegetation attributes estimation
biodiversity estimation
oak forest
Online Access:http://www.mdpi.com/2072-4292/8/10/865

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http://www.mdpi.com/2072-4292/8/10/865

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