Home About Browse Search
Svenska


Statewide land cover derived from multi-seasonal Landsat TM data

a retrospective of the WISCLAND project

Reese, Heather and Lillesand, Thomas and Nagel, David and Stewart, Jana and Goldmann, Robert and Simmons, Tom and Chipman, Jonathan and Tessar, Paul (2002). Statewide land cover derived from multi-seasonal Landsat TM data. Remote sensing of environment. 82:2-3, 224-237
[Journal article]

[img]
Preview
PDF
1MB
[img]
Preview
PDF
81kB

Official URL: http://www.elsevier.com/wps/find/journaldescriptio...

Abstract

Landsat Thematic Mapper data were the basis in production of a statewide land cover dataset for Wisconsin, undertaken in partnership with USGS’s Gap Analysis Program. The dataset contained seven classes comparable to Anderson Level I and 24 classes comparable to Anderson Levels II/III. Twelve scenes of dual-date TM data were processed with methods that included principal components analysis; stratification into spectrally consistent units; separate classification of upland, wetland, and urban areas; and a hybrid supervised/unsupervised classification called ”guided clustering”. The final data had overall accuracies of 94% for Anderson Level I upland classes, 77% for Level II/III upland classes, and 84% for Level II/III wetland classes. Classification accuracies for deciduous and coniferous forest were 95% and 93%, respectively, and forest species’ overall accuracies ranged from 70 to 84%. Limited availability of acceptable imagery necessitated use of an early May date in a majority of scene pairs, perhaps contributing to lower accuracy for upland deciduous forest species. The mixed deciduous/coniferous forest class had the lowest accuracy, most likely due to distinctly classifying a purely mixed class. Mixed forest signatures containing oak were often confused with pure oak. Guided clustering was seen as an efficient classification method, especially at the tree species level, although its success relied in part on image dates, accurate ground truth, and some analyst intervention.

Authors/Creators:Reese, Heather and Lillesand, Thomas and Nagel, David and Stewart, Jana and Goldmann, Robert and Simmons, Tom and Chipman, Jonathan and Tessar, Paul
Title:Statewide land cover derived from multi-seasonal Landsat TM data
Subtitle:a retrospective of the WISCLAND project
Series/Journal:Remote sensing of environment (0034-4257)
Year of publishing :2002
Volume:82
Number:2-3
Page range:224-237
Publisher:Elsevier Science
ISSN:0034-4257
Language:English
Additional Information:The original publication is available at www.elsevier.com
Publication Type:Journal article
Refereed:Yes
Full Text Status:Public
Subjects:Obsolete subject words > FORESTRY, AGRICULTURAL SCIENCES and LANDSCAPE PLANNING
Keywords:Land cover, multi-seasonal, Landsat
URN:NBN:urn:nbn:se:slu:epsilon-1-73
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-1-73
ID Code:3340
Department:(S) > Dept. of Forest Resource Management
(NL, NJ) > Dept. of Forest Resource Management
Deposited By: Heather Reese
Deposited On:14 Aug 2008 00:00
Metadata Last Modified:02 Dec 2014 10:20

Repository Staff Only: item control page

Downloads

Downloads per year (since September 2012)

View more statistics

Downloads
Hits