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CAP LTER land cover classification using 2010 National Agriculture Imagery Program (NAIP) Imagery

Publication date: 2015-11-06

Author(s):

  • Xiaoxiao Li

Abstract:

Detailed land-cover mapping is essential for a range of research issues addressed by sustainability science at large, and increasingly for questions posed of urban areas, such as those of the Central Arizona-Phoenix Long-Term Ecological Research (CAP LTER). This project provides the first fine-resolution land-cover mapping of the CAP LTER using 2010 NAIP four-band data. It demonstrates a new object-based method capable of delivering robust outputs for the range of research activities not only undertaken by the program of study but for such studies that appear to be emerging worldwide. The classification process incorporates cadastral GIS data to assist the land-cover type extraction at the parcel scale, and a hierarchical network approach that balances computation time with classification accuracy. Decision rules that may prove useful for other high resolution image classification in other arid-land metropolitan areas are provided.

Keywords:


Temporal Coverage:

2010-06-07 to 2010-09-10

Geographic Coverage:

Geographic Description: CAP LTER study area
Bounding Coordinates:
Longitude:-113.34 to -111.59
Latitude:34.01 to 32.91

Contact:

Data Manager, Julie Ann Wrigley Global Institute of Sustainability, Arizona State University, 
PO Box 875402,Tempe

Methods used in producing this dataset: Show


Data Files (1) :

Raster: NAIP.zip

Description: CAP LTER land cover classification using 2010 National Agriculture Imagery Program (NAIP) Imagery
Horizontal Coordinate System:NAD_1983_UTM_Zone_12N
Rows:77560
Columns:116826

Column Description Type Units
OID Internal feature number
Value Thematic Value of the cell
Enumeration:
  • 0: no data
  • 1: building
  • 2: road
  • 3: soil
  • 4: tree
  • 5: grass
  • 6: shrub
  • 7: active cropland
  • 8: inactive cropland
  • 9: orchard
  • 10: lake
  • 11: canal
  • 12: swimming pool
  • 13: seasonal river
Count Number of pixels of each land use land cover type used to build a histogram
number
Class_Names Thematic Value of the cell
Enumeration:
  • 0: no data
  • 1: building
  • 2: road
  • 3: soil
  • 4: tree
  • 5: grass
  • 6: shrub
  • 7: active cropland
  • 8: inactive cropland
  • 9: orchard
  • 10: lake
  • 11: canal
  • 12: swimming pool
  • 13: seasonal river

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