TY - GEN
T1 - Estimating land-cover change in RSim
T2 - Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration, ASPRS 2006
AU - Baskaran, Latha
AU - Dale, Virginia
AU - Garten, Chuck
AU - Vogt, David
AU - Rizy, Colleen
AU - Efroymson, Rebecca
AU - Aldridge, Matthew
AU - Berry, Michael
AU - Browne, Murray
AU - Lingerfelt, Eric
AU - Ahktar, Farhan
AU - Chang, Michael
AU - Stewart, Catherine
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84869063771&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84869063771
SN - 9781604237290
T3 - American Society for Photogrammetry and Remote Sensing - Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006: Prospecting for Geospatial Information Integration
SP - 139
EP - 148
BT - American Society for Photogrammetry and Remote Sensing - Annual Conference of the American Society for Photogrammetry and Remote Sensing 2006
Y2 - 1 May 2006 through 5 May 2006
ER -