The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
The Satellite Application Facility for Land Surface Analysis
Open accessAbstract
Information on land surface properties finds applications in a range of areas related to weather forecasting, environmental research, hazard management and climate monitoring. Remotely sensed observations yield the only means of supplying land surface information with adequate time sampling and a wide spatial coverage. The aim of the Satellite Application Facility for Land Surface Analysis (Land-SAF) is to take full advantage of remotely sensed data to support land, land–atmosphere and biosphere applications, with emphasis on the development and implementation of algorithms that allow operational use of data from European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) sensors. This article provides an overview of the Land-SAF, with brief descriptions of algorithms and validation results. The set of parameters currently estimated and disseminated by the Land-SAF consists of three main groups: (i) the surface radiation budget, including albedo, land surface temperature, and downward short- and longwave fluxes; (ii) the surface water budget (snow cover and evapotranspiration); and (iii) vegetation and wild-fire parameters.
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Cites
Biomass Burning in the Tropics: Impact on Atmospheric Chemistry and Biogeochemical Cycles
Crutzen, P. J., & Andreae, M. O. (1990) · Science · doi:10.1126/science.250.4988.1669 · Cited by 2,487
A generalized split-window algorithm for retrieving land-surface temperature from space
Wan, Z., & Dozier, J. (1996) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/36.508406 · Cited by 1,816
An Enhanced Contextual Fire Detection Algorithm for MODIS
Giglio, L., Descloitres, J., Justice, C. O., & Kaufman, Y. J. (2003) · Remote Sensing of Environment · doi:10.1016/s0034-4257(03)00184-6 · Cited by 1,729
Estimating PAR absorbed by vegetation from bidirectional reflectance measurements
Roujean, J.-L., & Breon, F.-M. (1995) · Remote Sensing of Environment · doi:10.1016/0034-4257(94)00114-3 · Cited by 1,422
Self-citationA bidirectional reflectance model of the Earth's surface for the correction of remote sensing data
Roujean, J., Leroy, M., & Deschamps, P. (1992) · Journal of Geophysical Research: Atmospheres · doi:10.1029/92jd01411 · Cited by 1,299
Self-citationSvoboda, M., LeComte, D., Hayes, M., Heim, R., Gleason, K., Angel, J., Rippey, B., Tinker, R., Palecki, M., Stooksbury, D., et al. (2002) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477-83.8.1181 · Cited by 1,256
How Well Do We Understand and Evaluate Climate Change Feedback Processes?
Bony, S., Colman, R., Kattsov, V. M., Allan, R. P., Bretherton, C. S., Dufresne, J.-L., Hall, A., Hallegatte, S., Holland, M. M., Ingram, W., et al. (2006) · Journal of Climate · doi:10.1175/jcli3819.1 · Cited by 1,038
Baseline Surface Radiation Network (BSRN/WCRP): New Precision Radiometry for Climate Research
Ohmura, A., Gilgen, H., Hegner, H., Müller, G., Wild, M., Dutton, E. G., Forgan, B., Fröhlich, C., Philipona, R., Heimo, A., et al. (1998) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1998)079<2115:bsrnbw>2.0.co;2 · Cited by 965
Land Surface Processes and Climate—Surface Albedos and Energy Balance
Dickinson, R. E. (1983) · Advances in Geophysics · doi:10.1016/s0065-2687(08)60176-4 · Cited by 828
GSWP-2: Multimodel Analysis and Implications for Our Perception of the Land Surface
Dirmeyer, P. A., Gao, X., Zhao, M., Guo, Z., Oki, T., & Hanasaki, N. (2006) · Bulletin of the American Meteorological Society · doi:10.1175/bams-87-10-1381 · Cited by 795
Metadata
- Authors
- Trigo, I. F., Dacamara, C. C., Viterbo, P., Roujean, J.-L., Olesen, F., Barroso, C., Camacho-de-Coca, F., Carrer, D., Freitas, S. C., García-Haro, J., Geiger, B., Gellens-Meulenberghs, F., Ghilain, N., Meliá, J., Pessanha, L., Siljamo, N., & Arboleda, A.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 2011-05-20
- Volume
- 32
- Issue
- 10
- Pages
- 2725-2744
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2089731682
- Cited by
- 286
- References
- 26
- FWCI
- 11.55
- Type
- journal article
- Language
- en
- Open access
- green
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- Trigo, I. F., Dacamara, C. C., Viterbo, P., Roujean, J.-L., Olesen, F., Barroso, C., Camacho-de-Coca, F., Carrer, D., Freitas, S. C., García-Haro, J., Geiger, B., Gellens-Meulenberghs, F., Ghilain, N., Meliá, J., Pessanha, L., Siljamo, N., & Arboleda, A. (2011). The Satellite Application Facility for Land Surface Analysis. International Journal of Remote Sensing. https://doi.org/10.1080/01431161003743199
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
