Estimating land-cover change in RSim: Problems and constraints

Latha Baskaran, Virginia Dale, Chuck Garten, David Vogt, Colleen Rizy, Rebecca Efroymson, Matthew Aldridge, Michael Berry, Murray Browne, Eric Lingerfelt, Farhan Ahktar, Michael Chang, Catherine Stewart

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The changes that accompany growth and development over a region are reflected in many ways. Changes to the land can be observed using data derived from remote sensing to create land-cover maps. Land-cover data provide a snapshot of the land status at a specific period of time. Hence any major growth or development in a region should reflect associated changes in the land cover. To explore causes and implications of land-cover changes, land-cover change rules have been developed as part of a regional simulation model, RSim. This study analyzes the problems of developing and calibrating the land-cover change rules in RSim. Land-cover change rules are usually derived from past trends in the landscape and also from trends in the use of land. However, some of the major issues while calibrating and developing change rules are the inconsistencies in data availability and description. Fundamental differences in the data type such as information describing land use or land cover also affect interpretations from such data. The results of this study show that human demographic variables such as urban and rural population could not be compared with high and low intensity land-cover classes directly. However urban land cover as a whole could be compared to population. Also, land-cover trends observed from similarly developed land-cover datasets could be used to derive land-cover change rules.

Original languageEnglish
Title of host publicationAmerican Society for Photogrammetry and Remote Sensing - Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006
Subtitle of host publicationProspecting for Geospatial Information Integration
Pages139-148
Number of pages10
StatePublished - 2006
EventAnnual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration, ASPRS 2006 - Reno, NV, United States
Duration: May 1 2006May 5 2006

Publication series

NameAmerican Society for Photogrammetry and Remote Sensing - Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration
Volume1

Conference

ConferenceAnnual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration, ASPRS 2006
Country/TerritoryUnited States
CityReno, NV
Period05/1/0605/5/06

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