Integration of AVHRR and fine spatial resolution imagery for tropical forest monitoring

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (SciVal)

Abstract

A multi-sensor approach to tropical forest monitoring is discussed whereby data from the NOAA AVHRR is used to identify changes in forest cover on a regional to continental scale and to direct more detailed assessments using satellite sensor imagery with a finer spatial resolution. Temporal, spatial and spectral attributes of optical sensors and the procedures of stratified sampling applied to different forms of forest disturbance are outlined. Regression techniques, linear mixture models and fuzzy classification algorithms (which can be used to estimate the proportions of land cover types within AVHRR pixels and which require fine resolution imagery for development and validation) are also reviewed in the context of tropical forest monitoring. The use of thematic information derived from fine resolution data for increasing the monitoring capabilities of the AVHRR is considered. -Author
Original languageEnglish
Title of host publicationAdvances in the Use of NOAA AVHRR for Land Applications
EditorsGiles D'Souza
PublisherSpringer Nature
Pages377-394
Number of pages18
ISBN (Print)978-9401065757, 9401065756
DOIs
Publication statusPublished - 1996

Publication series

NameEurocourses Remote Sensing

Fingerprint

Dive into the research topics of 'Integration of AVHRR and fine spatial resolution imagery for tropical forest monitoring'. Together they form a unique fingerprint.

Cite this