Data Set ID: 
CL07LC

CLASIC07 Land Cover Classification Map, Version 1

This data set consists of land cover classification data derived from satellite imagery as part of the Cloud and Land Surface Interaction Campaign 2007 (CLASIC07). ResourceSat-1 AWiFS images of the study area were retrieved for the period of April through August 2007. The land use classification image provides information about vegetation present in the study area at a resolution of 56 meters.

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Parameter(s):
  • Land Use/Land Cover > Land Use Classes > Land Cover Classification
Spatial Coverage:
  • N: 38.96, S: 31.62, E: -94.91, W: -95.13

Spatial Resolution:
  • 56 m x 56 m
Temporal Coverage:
  • 1 April 2007 to 31 August 2007
Temporal Resolution: Varies
Data Format(s):
  • Binary
Platform(s) IRS-P6
Sensor(s): AWIFS
Version: V1
Data Contributor(s): Cosh, M.

Data Citation

As a condition of using these data, you must cite the use of this data set using the following citation. For more information, see our Use and Copyright Web page.

Cosh, M. 2015. CLASIC07 Land Cover Classification Map, Version 1. [Indicate subset used]. Boulder, Colorado USA. NASA National Snow and Ice Data Center Distributed Active Archive Center. doi: https://doi.org/10.5067/QFLMQI76MOJA. [Date Accessed].

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Detailed Data Description

This data set consists of land cover classification data derived from satellite imagery as part of the Cloud and Land Surface Interaction Campaign 2007 (CLASIC07). ResourceSat-1/IRS-P6 AWiFS images of the study areas were retrieved for the period of April through August 2007. The land use classification image provides information about vegetation present in the study area at a resolution of 56 meters.

Format

Data are provided in a binary file and a header file. An associated Extensible Markup Language (XML) metadata file is also provided.

Number of rows: 14554
Number of columns: 8279 
Number of bands: 1 
Number of bits per pixel: 16
File layout: BIL
Upper left corner in east-west direction: 393250
Upper left corner in north-south direction: 4312655
Pixel size in east-west direction: 56
Pixel size in north-south direction: 56 
Universal Transverse Mercator (UTM) Zone: 14 N, World Geodetic System 1984 (WGS84)

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File and Directory Structure

Data files are available at: 

https://n5eil01u.ecs.nsidc.org/SMAP_VAL/CL07LC.001/

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File Naming Convention

Data are provided in a binary file and header file. The binary data file is CL07LC_CLASIC_classification.bil, and the header file is CL07LC_CLASIC_classification.hdr.

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File Size

The data file is approximately 230 MB.

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Spatial Coverage

Southernmost Latitude: 31.62°N
Northernmost Latitude: 38.96°N
Westernmost Longitude: 95.13°W
Easternmost Longitude: 94.91°W

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Spatial Resolution

56 m

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Projection

UTM 18 N (WGS84)

Grid Description

Data are on a rectangular grid with a cell size of 56 m by 56 m.

Upper left corner in east-west direction: 393250 
Upper left corner in north-south direction: 4312655 
Number of rows: 14554 
Number of columns: 8279

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Temporal Coverage

Satellite images were obtained in April and August 2007. All data were combined into a single map.

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Parameter or Variable

The measured parameter for this data set is land cover classification. Land cover classification distinguishes between crop types, water, roads, and urban areas. The classification values are as follows:

Classification values: 
0: Unclassified
1: Water
2: Forest
3: Pasture
4: Wheat
5: Alfalfa
6: Corn
7: Cotton
8: Soybean
9: Urban

Parameter Range

Valid parameter values are as follows:

Land cover class: 1-9
Unclassified: 0

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Software and Tools

Data can be accessed with any software that can read binary files, such as ENVI, ArcGIS, MATLAB, or IDL

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Data Acquisition and Processing

Data Acquisition Methods

There was great difficulty in estimating land cover because of the significant cloud cover in the Oklahoma area during the study period, therefore a complex decision tree was necessary to arrive at a final land cover classification. The weather was always very cloudy during CLASIC07. Atmospheric corrections were needed to reflect the true ground.

Described in the following table are important input parameters used in the MODerate resolution atmospheric TRANsmission (MODTRAN) computer program, which is designed to model atmospheric propagation of electromagnetic radiation for the 100-50,000 cm-1 (0.2 to 100 um) spectral range. These were used to generate the images.

Table 1. Important Input Parameters for MODTRAN to Images
Images O3STR VIS ML IDAY PARM1 PARM2 TIME
0415 a0.375 74.5724 54 105 35.276 97.037 17.492
0429 a0.325 41.1477 48 119 36.857 98.666 17.624
0519 a0.350 19.9010 44 139 36.857 94.445 17.341
0715 a0.325 30.6211 55 196 35.276 98.099 17.554
0808 a0.283 40.6304 56 220 35.276 98.100 17.551
0813 a0.294 28.35889 56 225 35.277 97.045 17.480
0814 a0.295 24.3875 48 226 37.654 95.312 17.121
0828 a0.300 28.69239 43 240 37.218 95.485 17.260
0901 a0.295 46.82300 47 244 35.862 97.928 17.541

The reflectance of AWiFS could not be validated because there was no observed reflectance on the same day.

For AWiFS, we generated a classification with supervised classification algorithms for April and August, and then used a combination of the two months as specified below to generate a final CLASIC data layer:

Table 2. Combinate Classification for April and August
Apr/Aug Unclassified Crop Pasture Water Forest
Apr Aug Apr Aug Apr Aug Apr Aug Apr Aug
Unclassified CLASIC Unclassified Crop Pasture Water Forest
Fix Bare P Wa F
Wheat CLASIC Wheat Wheat Wheat Wheat Forest
Fix HW HW HW F
Pasture CLASIC Pasture Crop Pasture Pasture Pasture
Fix P Bare P P
Water CLASIC Water Crop Pasture Water Forest
Fix Wa Bare P F
Forest CLASIC Forest Wheat Pasture Forest Forest
Fix F W P F


*Bare: Bare Cropland
*P: Pasture
*Wa: Water
*F: Forest
*HW: Harvest Winter Wheat
*W: Winter Wheat
*Crop: Alfalfa, Corn, Cotton, Soy

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Error Sources

The classification was completed based on data acquired significantly before and after the campaign (due to the cloud cover during the campaign) which increases the uncertainty of the classification accuracy.

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Quality Assessment

The quality of the classification is not high due to the effect of the error sources as specified above.

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Contacts and Acknowledgments

Michael H. Cosh
United States Department of Agriculture - Agricultural Research Service (USDA ARS) 
Hydrology and Remote Sensing Laboratory
10300 Baltimore Avenue
Bldg. 007, Rm. 104
BARC-West
Beltsville, MD 20705

Document Information

DOCUMENT CREATION DATE

June 2015

DOCUMENT REVISION DATE

N/A

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