Mapping shrublands and forests with multispectral satellite images based on spectral unmixing of scene components

Mario R. Caetano; Tiago Oliveira; Jose U. Paul; Maria J. Vasconcelos; Jose M. Cardoso Pereira

doi:10.1117/12.298143

30 December 1997 Mapping shrublands and forests with multispectral satellite images based on spectral unmixing of scene components

Mario R. Caetano, Tiago Oliveira, Jose U. Paul, Maria J. Vasconcelos, Jose M. Cardoso Pereira

Author Affiliations +

Proceedings Volume 3222, Earth Surface Remote Sensing; (1997) https://doi.org/10.1117/12.298143
Event: Aerospace Remote Sensing '97, 1997, London, United Kingdom

Abstract

Linear spectral mixture models (SMM) with image endmembers (IEM) and with reference endmembers (REM) were tested for discriminating maritime pine stands and shrublands in a Landsat-TM image of Central Portugal. For both types of EM, IEM and REM, two types of SMM were tried: SMM with three EM (SMM-3), i.e., green vegetation, soil and shade, and SMM with five EM (SMM-5), where the EM were the components of the landscapes that we were interested on, i.e., pine canopy, shrub, soil, forest litter and shade. Results showed that in the SMM-5, REM need to be used, since IEM were not pure enough. We verified that in the SMM-5, there was not a single set of EM that could be applied to the whole study area, because the shrubs that exist underneath the pine canopy and in the shrublands could not be modeled just by using a shrub EM. Therefore, SMM-5 require a multi-endmember approach, where the set of EM may change from pixel to pixel. In the SMM-3, an accurate discrimination of shrublands and pine stands (90% accuracy) was achieved by thresholding the shade fraction. In these simpler SMM, IEM and REM produced similar results.

Citation Download Citation

Mario R. Caetano, Tiago Oliveira, Jose U. Paul, Maria J. Vasconcelos, and Jose M. Cardoso Pereira "Mapping shrublands and forests with multispectral satellite images based on spectral unmixing of scene components", Proc. SPIE 3222, Earth Surface Remote Sensing, (30 December 1997); https://doi.org/10.1117/12.298143

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