Skip to Main Content
Analyzing long-term changes in vegetation with geographic information system and remotely sensed dataAuthor(s): Louis. R. Iverson; Paul. G. Risser; Paul. G. Risser
Source: Advances in Space Research. 7(11): 183-194.
Publication Series: Miscellaneous Publication
PDF: View PDF (1.1 MB)
DescriptionGeographic information systems and remote sensing techniques are powerful tools in the analysis of long-term changes in vegetation and land use, especially because spatial information from two or more time intervals can be compared more readily than by manual methods. A primary restriction is the paucity of data that has been digitized from earlier periods. The Illinois State GIS has a number of automated data sets containing land-use information, including original land survey plat maps that show the boundaries of forests, prairies, and wetlands as they existed prior to European colonization in the early 1800s. Profound changes have occurred in the Illinois landscape since European settlement, primarily because of conversion to agricultural use; in certain parts of the state, however, urbanization has been the major factor contributing to changes.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, email@example.com if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationIverson, Louis. R.; Risser, Paul. G. 1987. Analyzing long-term changes in vegetation with geographic information system and remotely sensed data. Advances in Space Research. 7(11): 183-194.
Keywordsgeographic information systems, remote sensing, land-use change, GIS
- United States state-level population estimates: Colonization to 1999
- Forest resource trends in Illinois
- Illinois Forests 2015
XML: View XML