Cadena de pre-procesamiento estándar para las imágenes Landsat del Plan Nacional de Teledetección

  1. Hantson, S.
  2. Chuvieco Salinero, Emilio
  3. Pons, Xavier
  4. Domingo Marimón, Cristina
  5. Cea, C.
  6. Moré, G.
  7. Cristóbal Roselló, Jordi
  8. Peces, J. J.
  9. Tejeiro, J. A.
Zeitschrift:
Revista de teledetección: Revista de la Asociación Española de Teledetección

ISSN: 1133-0953

Datum der Publikation: 2011

Nummer: 36

Seiten: 51-61

Art: Artikel

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Andere Publikationen in: Revista de teledetección: Revista de la Asociación Española de Teledetección

Zusammenfassung

This article describes the flow of pre-processing algorithms for the correction of Landsat imagery acquired from different origin; from Eurimage by different institutions, from the GloVis server and imagery acquired within the framework of the Spanish Remote Sensing Program (PNT). A short summary of the inter-comparison exercise between the algorithms considered is given, next to a description of the algorithms that will be applied. Like this the users of the products offered by the PNT know which algorithms were applied to the Landsat imagery and are able to apply the same algorithms to the imagery acquired by the proper users. This will help to generate stable temporal series of medium resolution imagery.

Bibliographische Referenzen

  • BARSI, J. A., HOOK, S. J., et al. (2007). Landsat5 Thematic Mapper Thermal Band Calibration Update. IEEE Geoscience and Remote Sensing Letters 4(4): 552-555.
  • BUSTAMANTE, J., DÍAZ-DELGADO, R., & ARAGONÉS, D. (2005). Determinación de las caracteristicas de masas de aguas someras en las marismas de Doñana mediante teledetección. Revista de Teledetección 24: 107-111.
  • CEA, C., CRISTÓBAL, J., & PONS, X. (2007). An improved methodology to map snow cover by means of landsat and MODIS imagery. Paper presented at: IEEE International Geoscience and Remote Sensing Symposium (IEEE international).
  • CHANDER, G., & MARKHAM, B. L. (2003). Revised Landsat-5 TM Radiometric Calibration Procedures and Postcalibration Dynamic Ranges. IEEE Transactions on Geoscience and Remote Sensing 41: 2674-2677.
  • CHANDER, G., MARKHAM, B. L., & BARSI, J. A. (2007). Revised Landsat-5 Thematic Mapper Radiometric Calibration. IEEE Geoscience and Remote Sensing Letters 41: 490-494.
  • CHANDER, G., MARKHAM, B. L., & HELDER, D. L. (2009). Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote sensing of environment 113: 893-903.
  • CHAVEZ, P. S. (1988). An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data. Remote Sensing of Environment 24: 459-479.
  • CHAVEZ, P. S. (1996). Image-based atmospheric corrections. Revisited and improved. Photogrammetric Engineering and Remote Sensing 62: 1025-1036.
  • GILABERT, M. A., CONESE, C., & MASELLI, F. (1994). An atmosferic correction method for the automatic retrieval of surface reflectance from TM images. International Journal of Remote Sensing 15: 2065-2086.
  • GUANTER, L., RICHTER, R., & KAUFMANN, H. (2009). On the application of the MODTRAN4 atmospheric radiative transfer code to optical remote sensing. International Journal of Remote Sensing 30: 1407-1424.
  • HANTSON, S., & CHUVIECO, E. (2011). Evaluation of different topographic correction methods for Landsat imagery. International Journal of Applied Earth Observation and Geoinformation13(5): 691-700.
  • HELDER, D. L. (2009). Consistent Radiometric Calibration of Landsat TM and MSS Sensors. In: Landsat Science Team Meeting (Fort Collins, CO).
  • JIMÉNEZ-MUÑOZ, J. C., CRISTÓBAL, J., SOBRINO, J. A., SÒRIA, G., NINYEROLA, M., & PONS, X. (2009). Revision of the Single-Channel Algorithm for Land Surface Temperature Retrieval From Landsat Thermal-Infrared Data. IEEE Geoscience and Remote Sensing Letters 47: 339-349.
  • PONS, X., MORÉ, G., & PESQUER, L. (2010). Automatic matching of Landsat image series to high resolution orthorectified imagery. in LacosteFrancis (ed.) Proc. 2010 ESA Living Planet Symposium, ESA Communications, Noordwijk, Holanda (CD-ROM, ISBN: 978-92-9221-250-6)
  • PONS, X., & SOLÉ-SUGRAÑES, L. (1994). A simple Radiometric Correction Model to Improve Automatic Mapping of Vegetation from Multispectral Satellite Date. Remote sensing of environment 48: 191-204.
  • SOBRINO, J. A., JIMÉNEZ-MUÑOZ, J. C., SÒRIA, G., ROMAGUERA, M., GUANTER, L., MORENO, J., PLAZA, A., & MARTÍNEZ, P. (2008). Land Surface Emissivity Retrieval From Different VNIR and TIR Sensors. IEEE Transactions on Geoscience and Remote Sensing 46: 316- 327.
  • SOBRINO, J. A., & RAISSOUNI, N. (2000). Toward remote sensing methods for land cover 60 S. Hantson et al. / Revista de Teledetección (2011) 36, 51-61 dynamic monitoring: Application to Morocco. International Journal of Remote Sensing 21: 353- 366.
  • SOBRINO, J. A., RAISSOUNI, N., SIMARRO, J., NERRY, F., & PETITCOLIN, F. (1999). Atmospheric water vapor content over land surfaces derived from the AVHRR data: application to the Iberian Peninsula. IEEE Transactions on Geoscience and Remote Sensing 37: 1425-1434.
  • TEJEIRO, J. A. (2010). Procedimiento Operativo Estándar. Plan Nacional de Teledetección. Procesado Básico Alta Resolución. IGN. Madrid.
Fuente de los datos: Dialnet