Data Package Metadata   View Summary

## methods overview The land cover/use maps were created using an object-based classification method based on Landsat images implemented using ArcGIS Pro software. Ancillary land use GIS layers from the Maricopa Association of Governments were used to identify residential and other land use areas. These LULC maps extend a companion dataset from 1985-2010 (Zhang and Li 2017). ## raster value categories | class_id | class_name | class_description | |----------|------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 1 | Water | This class includes lakes, canal, and other small water bodies. | | 2 | Asphalt/Road | This class mainly identifies transportation lines and other paved surface covered by asphalt, such as parking lots and commercial centers. This class does not typically include road segments within a residential block. | | 3 | Concrete/Buildings | This class mainly identifies commercial and industrial buildings. It also includes concrete covered areas. | | 4 | Urban mixture | This class identifies mixture of constructed materials, fragmented vegetation and paved surface. | | 5 | Residential | This class includes various types of dwellings such as single-family homes in neighborhoods, apartments, mobile homes, and rural lots. | | 6 | Residential (white rooftops) | This class identifies cluster of residential buildings that have bright (usually white) rooftops, such as aluminum roofed house trailers and foam-based flat roofing. | | 7 | Active crop | This class identifies croplands that were covered by live, green vegetation at the time of image acquisition. | | 8 | Inactive crop | This class identifies croplands that were not covered by live, green vegetation at the time of image acquisition. | | 9 | Cultivated vegetation | This class includes urban green space such as golf courses and parks. | | 10 | Natural vegetation | This class includes vegetation growing in desert or riparian area, such as shrubs. | | 11 | Soil/Desert | This class includes bare soil, desert, and any undeveloped or open land. | ## accuracy assessment: 2015 | class_id | overall_accuracy | producer_accuracy | user_accuracy | |------------------------------|------------------|-------------------|---------------| | Water | 0.91 | 91% | 97.8% | | Asphalt/Road | 0.96 | 96% | 88.1% | | Concrete/Buildings | 0.89 | 89% | 92.7% | | Urban mixture | 0.85 | 85% | 94.4% | | Residential | 0.93 | 93% | 74.4% | | Residential (white rooftops) | 0.94 | 94% | 91.3% | | Active crop | 0.85 | 85% | 94.4% | | Inactive crop | 0.86 | 86% | 100% | | Cultivated vegetation | 0.84 | 84% | 81.6% | | Natural vegetation | 0.88 | 88% | 87.1% | | Soil/Desert | 0.89 | 89% | 82.4% | | Overall | 0.89 | | NA | ## accuracy assessment: 2020 | class_id | overall_accuracy | producer_accuracy | user_accuracy | |------------------------------|------------------|-------------------|---------------| | Water | 0.91 | 92.9% | 98.9% | | Asphalt/Road | 0.95 | 93.1% | 88.7% | | Concrete/Buildings | 0.91 | 89.2% | 92.9% | | Urban mixture | 0.85 | 87.6% | 95.5% | | Residential | 0.93 | 93% | 76.9% | | Residential (white rooftops) | 0.95 | 93.1% | 91.3% | | Active crop | 0.89 | 84.8% | 91.8% | | Inactive crop | 0.86 | 86% | 95.6% | | Cultivated vegetation | 0.83 | 83.8% | 81.4% | | Natural vegetation | 0.86 | 84.3% | 88.7% | | Soil/Desert | 0.91 | 89.2% | 81.2% | | Overall | 0.90 | | NA | ## literature cited - Zhang, Y. and X. Li. 2017. Land cover classification of the CAP LTER study area at five-year intervals from 1985 to 2010 using Landsat imagery ver 1. Environmental Data Initiative. https://doi.org/10.6073/pasta/dab4db27974f6c8d5b91a91d30c7781d (Accessed 2022-07-26).