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Title: Scale-dependent errors in the estimation of land-cover proportions. Implications for global land-cover datasets

Abstract

Aggregation of fine-resolution land-cover maps to coarser scales indicates that estimates of the proportions of land-cover types vary as a function of spatial resolution. The magnitude of these proportional errors in a forested area in northern California increase significantly as resolution exceeds a 90-m threshold. These errors could pose difficulties for the use of land-cover products generated from coarse-resolution sensors such as the NOAA-AVHRR and the MODIS sensor planned for the EOS program. The magnitude of the errors appears to be a function of the spatial resolution of the map, the original size of the land-cover classes, and the spatial patterns of the classes.

Authors:
;  [1]
  1. Boston Univ., Boston, MA (United States)
Publication Date:
OSTI Identifier:
53456
Resource Type:
Journal Article
Journal Name:
Photogrammetric Engineering and Remote Sensing
Additional Journal Information:
Journal Volume: 60; Journal Issue: 5; Other Information: PBD: May 1994
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; REMOTE SENSING; DATA COVARIANCES; GROUND COVER; VEGETATIVE PROPAGATION

Citation Formats

Moody, A, and Woodcock, C E. Scale-dependent errors in the estimation of land-cover proportions. Implications for global land-cover datasets. United States: N. p., 1994. Web.
Moody, A, & Woodcock, C E. Scale-dependent errors in the estimation of land-cover proportions. Implications for global land-cover datasets. United States.
Moody, A, and Woodcock, C E. 1994. "Scale-dependent errors in the estimation of land-cover proportions. Implications for global land-cover datasets". United States.
@article{osti_53456,
title = {Scale-dependent errors in the estimation of land-cover proportions. Implications for global land-cover datasets},
author = {Moody, A and Woodcock, C E},
abstractNote = {Aggregation of fine-resolution land-cover maps to coarser scales indicates that estimates of the proportions of land-cover types vary as a function of spatial resolution. The magnitude of these proportional errors in a forested area in northern California increase significantly as resolution exceeds a 90-m threshold. These errors could pose difficulties for the use of land-cover products generated from coarse-resolution sensors such as the NOAA-AVHRR and the MODIS sensor planned for the EOS program. The magnitude of the errors appears to be a function of the spatial resolution of the map, the original size of the land-cover classes, and the spatial patterns of the classes.},
doi = {},
url = {https://www.osti.gov/biblio/53456}, journal = {Photogrammetric Engineering and Remote Sensing},
number = 5,
volume = 60,
place = {United States},
year = {Sun May 01 00:00:00 EDT 1994},
month = {Sun May 01 00:00:00 EDT 1994}
}