Remote sensing of vegetation in a tropical mountain ecosystem: individual tree-crown detection

Brenner Silva; Jörg Bendix

doi:10.1117/12.2029912

24 October 2013 Remote sensing of vegetation in a tropical mountain ecosystem: individual tree-crown detection

Brenner Silva, Jörg Bendix

Proceedings Volume 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV; 88930B (2013) https://doi.org/10.1117/12.2029912
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

The hotspot of biodiversity in the Andes of Southern Ecuador has been severely threatened by climate change and unsustainable land use. The high biodiversity requires strategies for conservation and management of natural resources to be developed at both individual and area-wide levels. In this paper we focus on the development of an automatic treecrown detection and classification approach, which is in line individual-based investigations in the tropical mountain environment. Airborne laser scanning of discrete type was used with a very high granularity (<10 returns per square meter). The individual tree crown detection reached an accuracy of 51% while supervised classification of palm-trees reached an accuracy of 69%. Accuracy measurements are given in the paper. The detection and characterization of individual tree crowns is the first step in the development of a monitoring approach for the tropical mountain forest.

Citation Download Citation

Brenner Silva and Jörg Bendix "Remote sensing of vegetation in a tropical mountain ecosystem: individual tree-crown detection", Proc. SPIE 8893, Earth Resources and Environmental Remote Sensing/GIS Applications IV, 88930B (24 October 2013); https://doi.org/10.1117/12.2029912

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available