Originator: Spatial Analysis Unit, Carolina Population Center
Publication_Date: 2000
Title: North ISA 1996 LULC Classification (General)
Geospatial_Data_Presentation_Form: raster digital data
Description:
Abstract:
This data set contains four general land use/land cover (LULC) classes — excluding clouds and shadows — for the Northern Intensive Study Area (ISA) of the CPC Ecuador Projects, in the northern Oriente of Ecuador.
Purpose:
Population-environment interaction research requires accurate LULC data for a variety of time periods. This data is used to determine the spatial structure and pattern of land use throughout this ISA.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 1996
Currentness_Reference: ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -77.001953
East_Bounding_Coordinate: -76.751864
North_Bounding_Coordinate: 0.330370
South_Bounding_Coordinate: -0.003319
Keywords:
Theme:
Theme_Keyword_Thesaurus: Ecuador
Theme_Keyword: LULC
Theme_Keyword: land use
Theme_Keyword: land cover
Access_Constraints:
Data is available to the public, made possible through the NASA LBA program.
Use_Constraints:
There are no use constraints. It is important, however, that potential users be aware that the LULC classes contained in this data set are very general. Refer to the Entity Attributes section for a description of the types of land cover that are contained within each class.
Data were processed by members of the Spatial Analysis Unit, Carolina Population Center, and the Landscape Characterization & Spatial Analysis Lab, Department of Geography, UNC-CH.
Security_Information:
Security_Classification: Unclassified
Native_Data_Set_Environment:
Microsoft Windows NT Version 4.0 (Build 1381) Service Pack 6; ESRI ArcCatalog 8.2.0.700
Title: South ISA 1996 LULC Classification (General)
Cross_Reference:
Citation_Information:
Title: East ISA 1996 LULC Classification (General)
Cross_Reference:
Citation_Information:
Title: Southwest ISA 1996 LULC Classification (General)
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Attribution of the pixels is based on a combination of the classification algorithm and informed decision-making by the analysts. Accuracy of the classification has not been determined.
Logical_Consistency_Report: Not applicable
Completeness_Report: Not applicable
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
Horizontal accuracy is within 0.5 pixels of the true location. Therefore, the accuracy is +/- 15 meters.
The Landsat TM image provided spectral information which was used to identify distinct LULC types in the classification process.
Process_Step:
Process_Description:
An 255-cluster ISODATA unsupervised classification was performed on the Landsat TM image.
Process_Date: 2000
Process_Step:
Process_Description:
Using Transformed Divergence and a minimum divergence of 1950, the 255 clusters were iteratively reduced to 30-40 spectrally separable clusters.
Process_Date: 2000
Process_Step:
Process_Description:
The resultant 30-40 spectrally seperable clusters were entered into a maximum-likelihood supervised classification as training data.
Process_Date: 2000
Process_Step:
Process_Description:
The CLUMP and ELIMINATE processes in Imagine were applied to the supervised classification output to reduce noise in the image.
Process_Date: 2000
Process_Step:
Process_Description:
Classes were assigned to the 30-40 cluster supervised output using ancillary data and expert knowledge of the field site. Clusters belonging to the same class were then recoded to that class number.
Process_Date: 2000
Process_Step:
Process_Description: The Imagine .img file was exported to an ESRI grid format.
