Providing crop information using RADARSAT-1 and satellite optical imagery

International Journal of Remote Sensing

Volumn 23, Issue 5, 2002, Pages 851-870

  McNairn, H ^a   Ellis, J ^b   Van der Sanden, J J ^a   Hirose, T ^b   Brown, R J ^a  

^a CANADA CENTRE FOR REMOTE SENSING   (Canada)

^b Noetix Research Inc   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CROPS; DATA ACQUISITION; MAPPING; MICROWAVES; OPTICAL COMMUNICATION; RADAR IMAGING; REGRESSION ANALYSIS; SATELLITE COMMUNICATION SYSTEMS; SENSITIVITY ANALYSIS;

CROP MONITORING; SATELLITE OPTICAL IMAGERY;

REMOTE SENSING;

CLASSIFICATION; CROP; CROP PRODUCTION; IMAGE ANALYSIS; MONITORING; RADARSAT; REMOTE SENSING;

FARM CROPS; FOREST CANOPY; MAPPING; RADAR; REGRESSION ANALYSIS; REMOTE SENSING; SATELLITES;

CANADA; MANITOBA; WINNIPEG;

EID: 0037051184     PISSN: 01431161     EISSN: None     Source Type: Journal    
DOI: 10.1080/01431160110070753     Document Type: Article

References (26)

1. Use of digital image analysis and GIS to assess regional soil compaction risk
2. Crop parameter estimation from ground-based X-band (3-cm wave) radar backscattering data
3. Ground-based X-Band (3-cm wave) radar backscattering of agricultural crops. I. Sugar best and potato; backscattering and crop growth
4. Microwave radar response to canopy moisture, Leaf-Area Index, and dry weight of wheat, corn and sorghum
5. Multidate SAR/TM synergism for crop classification in western Canada
6. The diurnal pattern of microwave backscattering by wheat
7. Correlations between X-, C- and L-band imagery within an agricultural environment
8. An evaluation of radar as a crop classifier
9. Agricultural crop condition monitoring using airborne C-band synthetic aperture radar in Southern Alberta
10. Winter wheat vegetation indices calculated from combinations of seven spectral bands
11. Sensitivity of microwave measurements to vegetation biomass and soil moisture content: A case study
12. Evaluation and interpretation of thematic mapper ratios in equations for estimating corn growth parameters
13. The physical properties of wheat and its relationship to canopy backscatter
14. Classification of agricultural crops in radar images
15. Sensitivity of the normalized difference vegetation index to subpixel canopy cover, soil albedo, and pixel scale
16. The potential of RADARSAT-2 for crop mapping and assessing crop condition
17. Integration of multi-polarized SAR data and high spatial optical imagery for precision farming
18. Estimating surface soil moisture and leaf area index of a wheat canopy using a dual-frequency (C and X bands) scatterometer
19. Active microwave responses: An aid in improved crop classification
20. RADARSAT image quality and calibration - Update
21. Crop identification with L-band radar
22. Monitoring wheat growth with radar
23. Potential of airborne radar to support the assessment of land cover in a tropical rain forest environment