Evaluation of Resoucesat-1 AWiFS data for producing an agricultural crop inventory for Canada

American Society for Photogrammetry and Remote Sensing - 28th Canadian Symposium on Remote Sensing and ASPRS Fall Specialty Conference 2007

Volumn , Issue , 2007, Pages 11-18

  Champagne, Catherine ^a   McNairn, Heather ^a   Shang, Jiali ^a   Johnson, David M ^b  

^a AGRICULTURE AND AGRI FOOD CANADA   (Canada)

^b Research and Development Division   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURE; CANNING; CLASSIFICATION (OF INFORMATION); CROPS; FOOD PRESERVATION; IMAGING TECHNIQUES; LAND USE; LANDFORMS; LAWS AND LEGISLATION; PHOTOMAPPING; REMOTE SENSING; SATELLITES; SPACE OPTICS; STORAGE ALLOCATION (COMPUTER);

AGRICULTURAL FIELDS; AGRICULTURAL SITES; AMERICAN SOCIETY; APPLICATIONS.; CLASSIFICATION ACCURACIES; COMMERCIAL SATELLITES; CROP MAPPING; EARTH OBSERVATION DATA; ENVISAT; GROWING SEASONS; INPUT DATA; LAND COVER; LANDSAT; MANITOBA; MICROWAVE SENSORS; MULTI-SPECTRAL; MULTI-SPECTRAL DATA; ONTARIO; OPTICAL SATELLITES; RED RIVER; SASKATCHEWAN; SATELLITE DATA; SPATIAL RESOLUTION SR); SPECTRAL-RESOLUTION; UNITED STATES DEPARTMENT OF AGRICULTURE; WIDE-FIELD;

SENSORS;

EID: 51849087677     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Blaes, X., L. Vanhalle, and P. Defourny (2005). Efficiency of crop identification based on optical and SAR image time series, Remote Sensing of Environment 96: 352-365.
2. Boryan, C, and M. Craig (2005). Multiresolution Landsat TM and AWiFS sensor assessment for crop area estimation in Nebraska, Proceedings from Pecora 16, Sioux Falls, South Dakota (American Society for Photogrammetry and Remote Sensing, Bethesda, Maryland), CD-ROM.
3. Congalton, R. G., and K. Green (1999). Assessing the accuracy of remotely sensed data: principles and practices. Boca Raton: Lewis Publishers.
4. Jewell, N. (1989). An evaluation of multi-date SPOT data for agriculture and land use mapping in the United Kingdom. International Journal of Remote Sensing 10(6): 939-951.
5. Johnson, D.M. (in press). A comparison of coincident Landsat-5 TM and Resourcesat-1 AWiFS imagery for classifying croplands. Photogrammetric Engineering and Remote Sensing, accepted, revised.
6. McNairn, H., C. Champagne, and J. Shang (2007). The value of SAR multi-polarization data in delivering annual crop inventories, Proceedings of the International Geoscience and Remote Sensing Symposium, Barcelona, Spain, CD-ROM.
7. McNairn, H, Ellis, J., van der Sanden, J J, Hirose, T. and R.J. Brown (2002). Providing crop information using RADARSAT-1 and satellite optical imagery. International Journal of Remote Sensing 23:851-870.
8. Pal, M. and P.M. Mather, (2003). An assessment of the effectiveness of decision tree methods for land cover classification. Remote Sensing of the Environment 56:554-565.
9. Shang, J., C. Champagne, and H. McNairn (2006). Agriculture land use mapping using multi-sensor and multi-temporal Earth Observation data. Proceedings of the MAPPS/ASPRS 2006 Fall Specialty Conference, San Antonio, Texas, USA.