Estimación del sellado del suelo mediante técnicas de análisis espectral

  1. Tomás, Alberto de
  2. Salas Rey, Francisco Javier
  3. Santos, Cesar
  4. Garzón, Antonio
  5. Moreno Burgos, Victoriano
Journal:
Serie Geográfica

ISSN: 1136-5277

Year of publication: 2010

Issue Title: La teledetección en la investigación geográfica

Issue: 16

Pages: 81-92

Type: Article

More publications in: Serie Geográfica

e_Buah Biblioteca Digital Universidad de Alcalá: lock_openOpen access Handle

Sustainable development goals

Abstract

Increasing artificial surface, associated with urban growth, produces soil imperviousness, known as soil sealing, which causes a number of adverse effects on the environment. This paper aims to develop a methodology to facilitate the estimation of this surface type, in order to establish control measures. Remote sensing techniques provide interesting classification possibilities in urban areas. In this research, both Linear Spectral Mixing Analysis (LSMA) and Sequential Maximum Angle Convex Cone (SMACC) spectral analysis techniques have been tested on a SPOT-5 multispectral image, corresponding to the Northeastern sector of the city of Madrid. Finally, the SMACC technique was applied, in combination with other variables extracted from the image, getting as a result a sealed mask with an overall accuracy of 83,75%. The results were then compared to the existing European soil sealing layer for Spain1, which obtained an overall accuracy of 69,5% with the same accuracy assessment method used in this study.