Humans, Climate Change, or Both Causing Land-Use Change? An Assessment with NASA’s SEDAC Datasets, GIS, and Remote Sensing Techniques
Land-Cover and Land-Use Change (LCLUC) is a dynamic process affected by the combination and mutual interaction of climatic and socioeconomic drivers. Field studies and surveys, which are typically time- and resource-consuming, have been employed by researchers to better understand LCLUC drivers. How...
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MDPI AG
2025-03-01
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| Series: | Urban Science |
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| Online Access: | https://www.mdpi.com/2413-8851/9/3/76 |
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| author | Alen Raad Joseph D. White |
| author_facet | Alen Raad Joseph D. White |
| author_sort | Alen Raad |
| collection | DOAJ |
| description | Land-Cover and Land-Use Change (LCLUC) is a dynamic process affected by the combination and mutual interaction of climatic and socioeconomic drivers. Field studies and surveys, which are typically time- and resource-consuming, have been employed by researchers to better understand LCLUC drivers. However, remotely sensed data may provide the same trustworthy outcomes with less time and expense. This study aimed to assess the relationship between LCLUC and changes in socioeconomic and climatic factors in the Dallas-Fort Worth (DFW) metropolitan area, Texas, USA, between 2000 and 2020. The LCLU, socioeconomic, and climatic data were obtained from the National Land Cover Database of Multi-Resolution Land Characteristics Consortium, NASA’s Socioeconomic Data and Applications Center (SEDAC), and the global climate and weather data website (WorldClim), respectively. Change detection calculated from these data was used to analyze spatial and statistical relationships between LCLUC and changes in socioeconomic and climatic factors. Results showed that LCLUC was significantly predicted by population change, housing and transportation, household and disability change, socioeconomic status change, monthly average minimum temperature change, and monthly mean precipitation change. While socioeconomic factors played a predominant role in driving LCLUC in this study, the influence of climatic factors should not be overlooked, particularly in regions where climate sensitivity is more pronounced, such as arid or transitional zones. These findings highlight the importance of considering regional variability when assessing LCLUC drivers. |
| format | Article |
| id | doaj-art-73f4b17e9a184efea4a0c91e4b1ca712 |
| institution | Kabale University |
| issn | 2413-8851 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Urban Science |
| spelling | doaj-art-73f4b17e9a184efea4a0c91e4b1ca7122025-08-20T03:44:03ZengMDPI AGUrban Science2413-88512025-03-01937610.3390/urbansci9030076Humans, Climate Change, or Both Causing Land-Use Change? An Assessment with NASA’s SEDAC Datasets, GIS, and Remote Sensing TechniquesAlen Raad0Joseph D. White1Department of Pipeline Data, Material Records, Kinder Morgan, Houston, TX 77002, USADepartment of Biology, Baylor University, Waco, TX 76798, USALand-Cover and Land-Use Change (LCLUC) is a dynamic process affected by the combination and mutual interaction of climatic and socioeconomic drivers. Field studies and surveys, which are typically time- and resource-consuming, have been employed by researchers to better understand LCLUC drivers. However, remotely sensed data may provide the same trustworthy outcomes with less time and expense. This study aimed to assess the relationship between LCLUC and changes in socioeconomic and climatic factors in the Dallas-Fort Worth (DFW) metropolitan area, Texas, USA, between 2000 and 2020. The LCLU, socioeconomic, and climatic data were obtained from the National Land Cover Database of Multi-Resolution Land Characteristics Consortium, NASA’s Socioeconomic Data and Applications Center (SEDAC), and the global climate and weather data website (WorldClim), respectively. Change detection calculated from these data was used to analyze spatial and statistical relationships between LCLUC and changes in socioeconomic and climatic factors. Results showed that LCLUC was significantly predicted by population change, housing and transportation, household and disability change, socioeconomic status change, monthly average minimum temperature change, and monthly mean precipitation change. While socioeconomic factors played a predominant role in driving LCLUC in this study, the influence of climatic factors should not be overlooked, particularly in regions where climate sensitivity is more pronounced, such as arid or transitional zones. These findings highlight the importance of considering regional variability when assessing LCLUC drivers.https://www.mdpi.com/2413-8851/9/3/76national land cover databaseNASAWorldClimchange detectionimage analysisspatial analysis |
| spellingShingle | Alen Raad Joseph D. White Humans, Climate Change, or Both Causing Land-Use Change? An Assessment with NASA’s SEDAC Datasets, GIS, and Remote Sensing Techniques Urban Science national land cover database NASA WorldClim change detection image analysis spatial analysis |
| title | Humans, Climate Change, or Both Causing Land-Use Change? An Assessment with NASA’s SEDAC Datasets, GIS, and Remote Sensing Techniques |
| title_full | Humans, Climate Change, or Both Causing Land-Use Change? An Assessment with NASA’s SEDAC Datasets, GIS, and Remote Sensing Techniques |
| title_fullStr | Humans, Climate Change, or Both Causing Land-Use Change? An Assessment with NASA’s SEDAC Datasets, GIS, and Remote Sensing Techniques |
| title_full_unstemmed | Humans, Climate Change, or Both Causing Land-Use Change? An Assessment with NASA’s SEDAC Datasets, GIS, and Remote Sensing Techniques |
| title_short | Humans, Climate Change, or Both Causing Land-Use Change? An Assessment with NASA’s SEDAC Datasets, GIS, and Remote Sensing Techniques |
| title_sort | humans climate change or both causing land use change an assessment with nasa s sedac datasets gis and remote sensing techniques |
| topic | national land cover database NASA WorldClim change detection image analysis spatial analysis |
| url | https://www.mdpi.com/2413-8851/9/3/76 |
| work_keys_str_mv | AT alenraad humansclimatechangeorbothcausinglandusechangeanassessmentwithnasassedacdatasetsgisandremotesensingtechniques AT josephdwhite humansclimatechangeorbothcausinglandusechangeanassessmentwithnasassedacdatasetsgisandremotesensingtechniques |