Multisensor comparison of NDVI for a semi-arid environment in Spain

International Journal of Remote Sensing

Volumn 30, Issue 5, 2009, Pages 1355-1384

  Martinez Beltran C ^a   Jochum, M A Osann ^a,b   Calera, A ^a   Melia J ^c  

^a UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

^b ALFAclima Asesoramiento Medioambiental   (Spain)

^c UNIVERSITY OF VALENCIA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED VERY HIGH RESOLUTION RADIOMETERS (AVHRR); IMAGE ENHANCEMENT; ORBITS; REFLECTION;

ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER; EARTH OBSERVATION SATELLITES; LANDSAT-5 (L5) THEMATIC MAPPER; LANDSAT-7 (L7) ENHANCED THEMATIC MAPPER PLUS (ETM+); NORMALIZED DIFFERENCE VEGETATION INDEX; SEMI-ARID ENVIRONMENTS; SPECTRAL REFLECTANCES; TRANSLATION EQUATIONS;

VEGETATION;

ASTER; AVHRR; CALIBRATION; COMPARATIVE STUDY; IMAGE ANALYSIS; IRS (SATELLITE); LANDSAT THEMATIC MAPPER; NDVI; NOAA SATELLITE; OBSERVATIONAL METHOD; QUICKBIRD; SATELLITE SENSOR; SEMIARID REGION; SPECTRAL ANALYSIS; VEGETATION DYNAMICS;

EURASIA; EUROPE; SOUTHERN EUROPE; SPAIN;

EID: 67650233930     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802509025     Document Type: Article

References (30)

1. Bian, L. and Butler, R. (1999) Comparing effects of aggregation methods on statistical and spatial properties of simulated spatial data. Photogrammetric Engineering & Remote Sensing, 65, pp. 73-84.
2. Calera, A. (2000) Seguimiento mediante Teledetección de la cubierta vegetal de los cultivos de secano y su relación con variables climáticas en Castilla-La Mancha.
3. Calera, A., Jochum, A. M., Cuesta, A., Montoro, A. and López Fuster, P. (2005) Irrigation management from space: Towards user-friendly products. Irrig. Drain. Systems, 19, pp. 337-353.
4. Calera, A., Martínez, C. and González-Piqueras, J. (2001) Integration of information from multiscale satellites, Dais and Landsat. Applying a lineal model to the NDVI mean values in La Mancha (Spain). Proceedings of the Final Results Workshop of DAISEX Digital AIrborne Spectrometer EXperiment, pp. 241-248.
5. Chander, C. H. and Markham, B. (2003) Revised Landsat 5 TM radiometric calibration procedures and post-calibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing, 41, pp. 2674-2677.
6. De Cola, L. (1997) Multiresolution covariation among Landsat and AVHRR Vegetation Indices. Scale in Remote Sensing and GIS, pp. 73-92. CRC Lewis, Boca Raton, FL
7. D'urso, G., Vuolo, F. and Marotta, F. (2006) Success Stories: Analysis and evaluation of the Italian Case-Study of DEMETER in the Destra Sele Plain. Proceedings International Conference on Earth Observation for vegetation monitoring and water management, pp. 3-13.
8. Eurimage (2006) Multi-Mission Satellite Data.
9. Fischer, A. (1994) A simple model for temporal variations of NDVI at regional scale over agricultural countries. Validation with ground radiometric measurements. International Journal of Remote Sensing, 15, pp. 1421-1446.
10. Gallo, K., JI, L., Reed, B., Eidenshink, J. and Dwyer, J. (2005) Multi-platform comparisons of MODIS and AVHRR normalized difference vegetation index data. Remote Sensing of Environment, 99, pp. 221-231.
11. Gitelson, A. A. and Kaufman, Y. J. (1998) MODIS NDVI optimization to fit the AVHRR data series-spectral considerations. Remote Sensing of Environment, 66, pp. 343-350.
12. Guyot, G. and Gu, X. F. (1994) Effect of radiometric corrections on NDVI-determined from SPOT HRV and Landsat TM data. International Journal of Remote Sensing, 35, pp. 169-180.
13. Holben, B. N. (1986) Characteristics of maximum-value composite images from temporal AVHRR data. International Journal of Remote Sensing, 7, pp. 1417-1434.
14. Huete, A., Yoshioka, H., Miura, T., Kim, H. J. and Gao, X. (2002) Inter-sensor calibration of vegetation indices for monitoring and continuity studies of ecosystem variability. Recent Advances in Quantitative Remote Sensing, pp. 21-30. Publicacions de la Universitat de Valencia, Valencia
15. Jackson, R. D. (1984) Remote sensing of vegetation characteristics for farm management. Sixth, Vol 475, in the SPIE Critical Reviews of Technology Series: Remote Sensing by the Society of Photo-Optical Instrumentation Engineers, pp. 81-96. SPIE, Bellingham, WA
16. Justice, C. O., Markham, B. L., Townshen, J. R. G. and Kennard, R. L. (1989) Spatial degradation of satellite data. International Journal of Remote Sensing, 10, pp. 1539-1561.
17. Martinez Beltran, C. and Calera Belmonte, A. (2001) Irrigated crop area estimation using Landsat TM in La Mancha, Spain. Photogrammetric Engineering & Remote Sensing, 67, pp. 1177-1184.
18. Martinez Beltran, C., Calera Belmonte, A. and Jochum, A. (2003) Inter-satellite cross-calibration: Integration of reflectance and NDVI from different satellites by means of a linear model. Proceedings of SPIE, Vol 523, Remote Sensing for Agriculture, Ecosystems and Hydrology, pp. 128-139. SPIE, Bellingham, WA
19. Martin De Santa Olalla, F., Calera, A. and Dominguez, A. (2003) Monitoring irrigation water use by combining Irrigation Advisory service, and remotely sensed data with a geographic information system. Agricultural Water Management, 61, pp. 111-124.
20. Miura, T., Huete, A. and Yoshioka, H. (2006) An empirical investigation of cross-sensor relationships of NDVI and red/near-infrared reflectance using EO-1 Hyperion data. Remote Sensing of Environment, 100, pp. 223-236.
21. Moran, M. S., Inoue, Y. and Barnes, E. M. (1997) Opportunities and limitations for image-based remote sensing in precision crop management. Remote Sensing of Environment, 61, pp. 319-346.
22. Moreno, J. F., Cabeza, I., Calera, A., Jochum, A. M., Marti, J. M. and Menenti, M. (2002) Land Irrigation Support Service (LISSE), Report, ESA contract 14236/00/NL/DC. 176.
23. Osann Jochum, A. M., Calera, A. and Co-Authors (2006) Operational space-assisted irrigation advisory services: Overview and lessons learned from the DEMETER project. Proceedings International Conference on Earth Observation for vegetation monitoring and water management, pp. 3-13.
24. Richter, R. (1997) Correction of atmospheric and topographic effects for high spatial resolution satellite imagery. International Journal of Remote Sensing, 18, pp. 1099-1111.
25. Roder, A., Kuemmerle, T. and Hill, J. (2005) Extension of retrospective datasets using multiple sensors. An approach to radiometric intercalibration of Landsat TM and MSS data. Remote Sensing of Environment, 95, pp. 195-210.
26. Steven, M., Malthus, T. J., Baret, F., Xu, H. and Chopping, M. J. (2003) Intercalibration of vegetation indices from different sensor system. Remote Sensing of Environment, 88, pp. 412-422.
27. Takeuchi, W. and Yasuoka, Y. (2004) Development of normalized vegetation, soil and water indices derived from satellite remote sensing data. Journal of the Japan Society of Photogrammetry and Remote Sensing, 48, pp. 7-19.
28. Teillet, P. M., Barker, J. L., Markham, B. L., Irish, R. R., Fedosejevs, G. and Storey, J. C. (2001) Radiometric cross-calibration of the Landsat-7 ETM+ and Landsat-5 TM sensors based on tandem data sets. Remote Sensing of Environment, 78, pp. 39-54.
29. Teillet, P. M., Markham, B. L. and Irish, R. R. (2006) Landsat cross-calibration based on near simultaneous imaging of common ground targets. Remote Sensing of Environment, 102, pp. 264-270.
30. Van Leeuwen, W. J. D., Orr, B. J., Marsh, S. E. and Herrmann, S. M. (2006) Multi-sensor NDVI data continuity: Uncertainties and implications for vegetation monitoring applications. Remote Sensing of Environment, 100, pp. 67-81.