Appropriate plot size and spatial resolution for mapping multiple vegetation types

Citation
Gx. Wang et al., Appropriate plot size and spatial resolution for mapping multiple vegetation types, PHOTOGR E R, 67(5), 2001, pp. 575-584
Citations number
18
Language
INGLESE
art.tipo
Article
Categorie Soggetti
Optics & Acoustics
Journal title
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
ISSN journal
0099-1112 → ACNP
Volume
67
Issue
5
Year of publication
2001
Pages
575 - 584
Database
ISI
SICI code
Abstract
For mapping multiple vegetation types at large scale, determining appropria te plot size and spatial resolution is very important. However, this can be difficult because of spectral mixtures, low correlation of remote sensing and field data, and high cost to collect field data at a high density. This paper presents a method to determine appropriate plot size and spatial res olution for mapping multiple vegetation types using remote sensing data for a large area. This method is based on field data and gee-statistics theory . The method accounts simultaneously for within-support and regional spatia l variability by modeling both within-support and regional semi-variograms. The range parameters of the within-support semi-variograms implied the max imum range of the appropriate plot sizes. Using tile regional semi-variogra ms, the support size was considered appropriate when the ratio of the nugge t variance to sill variance stabilized. The method is assessed using field data and satellite TM data by developing the semi-variograms by vegetation type and TM band; and by cross validation of vegetation classification. A p ossible improvement for remote sensing to aid mapping is suggested.