Publications

Take a Look at Our Workships
  • Camacho, F.; Martínez-Sánchez, E.; Brown, L.A.; Morris, H.; Morrone, R.; Williams, O.; Dash, J.; Origo, N.; Sánchez-Zapero, J.; Boccia, V. Validation and Conformity Testing of Sentinel-3 Green Instantaneous FAPAR and Canopy Chlorophyll Content Products. Remote Sens. 2024, 16, 2698. https://doi.org/10.3390/rs16152698 (Download)
  • Brown, L. A., Morris, H., MacLachlan, A., D’Adamo, F., Adams, J., Lopez-Baeza, E., Albero, E., Martínez, B., Sánchez-Ruiz, S., Campos-Taberner, M., Lidón, A., Lull, C., Bautista, I., Clewley, D., Llewellyn, G., Xie, Q., Camacho, F., Pastor-Guzman, J., Morrone, R., … Dash, J. (2024). Hyperspectral Leaf Area Index and Chlorophyll Retrieval over Forest and Row-Structured Vineyard Canopies. Remote Sensing, 16(12), 2066. https://doi.org/10.3390/rs16122066. (Download)
  • Verger, A., Sánchez-Zapero, J., Weiss, M., Descals, A., Camacho, F., Lacaze, R., Baret, F., 2023. GEOV2: Improved smoothed and gap filled time series of LAI, FAPAR and FCover 1 km Copernicus Global Land products. Int. J. Appl. Earth Obs. Geoinf. 123, 103479. (Download)
  • Sánchez-Zapero, J.;  Martínez-Sánchez, E.; Camacho, F.; Wang, Z.; Carrer, D.; Schaaf, C.; García-Haro, F.J.; Nickeson, J.; Surface ALbedo VALidation (SALVAL) Platform: Towards CEOS LPV Validation Stage 4 – Application to Three Global Albedo Climate Data Records. Remote Sensing, 2023, 15(4), 1081. (Download).
  • Sánchez-Zapero, J.; Camacho, F.; Martínez-Sánchez, E.; Gorroño, J.; León-Tavares, J.; Benhadj, I.; Toté, C.; Swinnen, E.; Muñoz-Sabater, J.; Global estimates of surface albedo from Sentinel-3 OLCI and SLSTR data for Copernicus Climate Change Service: Algotithm and preliminary validation. Remote Sensing of Environment, 2023, vol 287, 113460. (Download).
  • Brown, L.A.; Camacho, F.; García-Santos, V.; Origo, N.; Fuster, B.; Morris, H.; Pastor-Guzman, J.; Sánchez-Zapero, J.; Morrone, R.; Ryder, J.; Nightingale, J.; Boccia, V.; Dash, J. Fiducial Reference Measurements for Vegetation Bio-Geophysical Variables: An End-to-End Uncertainty Evaluation Framework. Remote Sens. 2021, 13, 3194. (Downlaod).
  • F. Camacho, B. Fuster, W. Li, M. Weiss, S. Ganguly, R. Lacaze, F. Baret. Crop specific algorithms trianed over ground measurements provide the best performance for GAI and fAPAR estimates from Landsat-8 observations. Remote Sensing of Environment, Volume 260, 2021, 112453, ISSN 0034-4257. (Download).
  • L. A. Brown, B. O. Ogutu, F. Camacho, B. Fuster, J. Dash, Deriving Leaf Area Index Reference Maps Using Temporally Continuous In Situ Data: A Comparison of Upscaling Approaches. IEEE, vol 14, 2021. (Download).
  • Carrer, D.; Pinault, F.; Lellouch, G.; Trigo, I.F.; Camacho, F.; Ceamanos, X.; Moparthy, S.; Munoz-Sabater, J.; Schüller, L.; Sánchez-Zapero, J. Surface Albedo Retrireval from 40-Years of Earth Observations through the EUMETSAT/LSA SAF and EU/C3S Programmes: The Versatile Algorithm of PYALUS. Remote Sens. 2021, 13, 372. (Download).
  • Sánchez-Zapero, J.; Camacho, F.; Martínez-Sánchez, E.; Lacaze, R.; Carrer, D.; Pinault, F.; Benhadj, I.; Muñoz-Sabater, J. Quality Assessment of PROBA-V Surface Albedo V1 for the Continuity of the Copernicus Climate Change Service. Remote Sens. 2020, 12, 2596. (Download).
  • B. Bayat, F. Camacho, J. Nickeson, M. Cosh, J. Bolten, H. Vereecken, C. Montzka. Toward operational validation systems for global satellite-based terrestrial essential climate variables. International Journal of Applied Earth Observation and Geoinformation, Volume 95, 2021, 102240, ISSN 0303-2434, (Download).
  • Fuster B, Sánchez-Zapero J, Camacho F, García-Santos V, Verger A, Lacaze R, Weiss M, Baret F, Smets B. Quality Assessment of PROBA-V LAI, fAPAR and fCOVER Collection 300 m Products of Copernicus Global Land Service. Remote Sensing. 2020; 12(6):1017. (Download).

  • Francisco Javier García-Haro, Manuel Campos-Taberner, Álvaro Moreno, Håkan Torbern Tagesson, Fernando Camacho, Beatriz Martínez, Sergio Sánchez, María Piles, Gustau Camps-Valls, Marta Yebra, María Amparo Gilabert, A global canopy water content product from AVHRR/Metop, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 162, 2020,ISSN 0924 2716. (Download).

  • García-Haro, F.J.; Camacho, F.; Martínez, B.; Campos-Taberner, M.; Fuster, B.; Sánchez-Zapero, J.; Gilabert, M.A.. Climate Data Records of Vegetation Variables from Geostationary SEVIRI/MSG Data: Products, Algorithms and Applications. Remote Sens. 2019,11,02103. (Download).

  • V. García-Santos et al., Study of Temperature Heterogeneities at Sub-Kilometric Scales and Influence on Surface–Atmosphere Energy Interactions, IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 2, pp. 640-654, Feb. 2019. doi: 10.1109/TGRS.2018.2859182.

  • García-Santos, V.; Cuxart, J.; Martínez-Villagrasa, D.; Jiménez, M.A.; Simó, G. Comparison of Three Methods for Estimating Land Surface Temperature from Landsat 8-TIRS Sensor Data. Remote Sens. 2018, 10, 1450. (Download).

  • Roujean, J.-L., Leon-Tavares, J., Smets, B., Claes, P., Camacho, F., Sánchez-Zapero, J. , 2018. Surface albedo and toc-r 300 m products from PROBA-V instrument in the framework of Copernicus Global Land Service. Remote Sensing of Environment, 215 ( 2018) 57–73; doi.org/10.1016/j.rse.2018.05.015 (Download)

  • J. Pisek, H. Buddenbaum, F. Camacho, Joachim Hill, Jennifer L.R. Jensen, H. Lange, Z. Liu, A. Piayda, Y. Qu, O. Roupsard, Shawn P. Serbinj, S. Solberg, O. Sonnentag, A. Thimonier, Francesco Vuolo (2018). Data synergy between leaf area index and clumping index Earth Observation products using photon recollision probability theory. Remote Sensing of Environment, 215 (2018): 1–6.

  • Campos-Taberner, M., F.J. García-Haro,L. Busetto, L. Ranghetti, B. Martínez, M. A. Gilabert, G. Camps-Valls, F. Camacho, M. Boschetti (2018). A Critical Comparison of Remote Sensing Leaf Area Index Estimates over Rice-Cultivated Areas: From Sentinel-2 and Landsat-7/8 to MODIS, GEOV1 and EUMETSAT Polar System. Remote Sens. 2018, 10, 763; doi:10.3390/rs10050763. (Download)
  • Munier, S., D. Carrer, C. Planque, F. Camacho, C. Albergel and J.-C Calvet (2018). Satellite Leaf Area Index: Global Scale Analysis of the Tendencies Per Vegetation Type Over the Last 17 Years. Remote Sens. 2018, 10, 424; doi:10.3390/rs10030424. (Download)
  • García-Haro, F.J., M. Campos-Taberner, J. Muñoz-Marí, V. Laparra, F. Camacho, J. Sánchez-Zapero, G. Camps-Valls (2018). Derivation of global vegetation biophysical parameters from EUMETSAT Polar System. ISPRS Journal of Photogrammetry and Remote Sensing 139 (2018) 57–74
  • Li, W., F. Baret, M. Weiss, S. Buis, R. Lacaze, V. Demarez, J.-F Dejoux, M. Battude, F. Camacho (2017). Combining hectometric and decametric satellite observations to provide near real time decametric FAPAR product. Remote Sensing of Environment, 200 (2017) 250–262
  • Nestola, E., Sánchez-Zapero, J., Latorre, C., Mazzenga, F., Matteucci, G., Calfapietra, C., Camacho, F., 2017. Validation of PROBA-V GEOV1 and MODIS C5 & C6 fAPAR Products in a Deciduous Beech Forest Site in Italy. Remote Sens. 9, 126. doi:10.3390/rs9020126. (Download)
  • Campos-Taberner, M., F.J. García-Haro, R. Confalonieri, B. Martínez, Á. Moreno, S. Sánchez-Ruiz, M.A. Gilabert, F. Camacho, M. Boschetti and L. Busetto (2016). Multitemporal Monitoring of Plant Area Index in the Valencia Rice District with PocketLAI. Remote Sensing 2016, 8, 202; doi:10.3390/rs8030202. (Download)
  • Martínez, B., Albargues, E., Camacho, F., Moreno, A., Gilabert, M.A. (2014). Estimación de la fAPAR sobre la Península Ibérica a partir de la inversión del modelo de transferencia radiativa 4SAIL2. Revista de Teledetección: 42, 61-77
  • Weiss, M, F. Baret, T. Block, B. Koetz, A. Burini, B. Scholze, P. Lecharpentier, C. Brockmann, R. Fernandes, S. Plummer, R. Myneni, N. Gobron, J. Nightingale, G. Schaepman-Strub, F. Camacho, A. Sanchez-Azofeifa (2014). On Line Validation Exercise (OLIVE): A Web Based Service for the Validation of Medium Resolution Land Products. Application to FAPAR Products. Remote Sens. 2014, 6, 4190-4216. (Download)
  • Baret, F., Weiss, M., Lacaze, R., Camacho, F., Makmara, H., Pacholczyk, P., et al. (2013). GeoV1: LAI, FAPAR Essential Climate Variables and FCOVER global time series capitalizing over existing products. Part 1: Principles of development and production. Remote Sensing of Environment, 137, 299–309.
  • Camacho, F., J. Cernicharo, R. Lacaze, M. Weiss and F. Baret (2013). GEOV1: LAI, FAPAR Essential Climate Variables and FCOVER global time series capitalizing over existing products. Part 2: Validation and inter-comparison with reference products. Remote Sensing of Environment: 137 (2013) 310–329
  • Cernicharo J, A. Verger, F. Camacho (2013). Empirical and Physical Estimation of Canopy Water Content from CHRIS/PROBA Data. Remote Sens. 2013, 5, 5265-5284. (Download)
  • Martínez, B. F. Camacho, A. Verger, F.J. García-Haro, M.A. Gilabert (2013). Intercomparison and quality assessment of MERIS, MODIS and SEVIRI FAPAR products over the Iberian Peninsula. International Journal of Applied Earth Observation and Geoinformation 21: 463–476
  • Moreno, A. A. Moreno, M.A. Gilabert, F. Camacho, B. Martínez (2013). Validation of daily global solar irradiation images from MSG over Spain. Renewable Energy 60: 332-342.
  • Verger, A., Baret , F., and Camacho, F. (2011). Optimal modalities for radiative transfer-neural network estimation of canopy biophysical characteristics: evaluation over an agricultural area with CHRIS/PROBA observations. Remote Sensing of Environment, 115, 415-426
  • Martinez, B., E. Cassiraga, F. Camacho and Javier Garcia-Haro (2010) Geostatistics for Mapping Leaf Area Index over a Cropland Landscape: Efficiency Sampling Assessment. Remote Sensing, 2, 2584-2606.  (Download)
  • Trigo, I., C. DaCamara, P. Viterbo, J.-L. Roujean, F. Olesen, N. Siljamo, J. Meliá, F. J. García-Haro, F. Camacho-de Coca, F. Meulenberghs, B. Geiger (2011). The Satellite Application Facility on Land Surface Analysis. International Journal of Remote Sensing.Volume 32 Issue 10, 2725doi:10.1080/01431161003743199.
  • Verger, A., F. Camacho, F. J. García-Haro y J. Meliá (2009). Prototyping of Land-SAF leaf area index algorithm with VEGETATION and MODIS data over Europe. Remote Sensing of Environment, doi:10.1016/j.rse.2009.06.009.
  • Verger, Camacho, Garcia-Haro, Melia (2009). Evaluation of an operational leaf area index retrieval approach using VEGETATION and MODIS data. EARSeL eProceedings. Vol.8. No 2: 180 – 186.
  • Cernicharo, J., F. Camacho, B. Martínez y E.López-Baeza (2010). Estimación del Contenido de Agua de la Vegetación en la zona de Validación de SMOS mediante la extensión espacial de medidas de campo con imágenes CHRIS y MODIS. Revista de Teledetección. ISSN: 1988-8740. 2010. 33: 64-79.
  • Verger, A., B. Martínez, F. Camacho-de Coca and F. J. García-Haro (2009). Accuracy assessment of fraction of vegetation cover and leaf area index estimates from pragmatic methods in a cropland area. International Journal of Remote Sensing, vol 30. No 10: 2685–2704.
  • Martínez, B., F. J. García-Haro, F. Camacho-de Coca (2009). Derivation of high-resolution leaf area index maps in support of validation activities. Application to the cropland Barrax site. Agricultural and Forest Meteorology, 149 (1):130-145. doi:10.1016/j.agrformet.2008.07.014.
  • García-Haro, F. J., F. Camacho-de Coca y J. Meliá, (2006). A Directional Spectral Mixture Analysis. IEEE Transactions on Geoscience and Remote Sensing, vol 44, nº 2: 365-377.
  • García-Haro, F. J., F. Camacho-de Coca and J. Meliá, (2006). Retrieving leaf area index from multi-angular airborne data. Annals of Geophysics, vol.49, n.1: 209-218.
  • Camacho-de Coca, F., F.M., Bréon, M. Leroy and F.J. García-Haro, (2004). Airborne measurements of hot spot reflectance signatures. Remote Sensing of Environment, 90: 63-75.
  • Camacho-de Coca, F., F.J. García-Haro, M.A. Gilabert and J. Meliá, (2004). Vegetation cover seasonal changes assessment from TM imagery in a semiarid landscape. International Journal of Remote Sensing, Vol. 25, No.17: 3451-3476.

CEOS Reports

  • Montzka, C., M. Cosh, B. Bayat, A. Al Bitar, A. Berg, R. Bindlish, H. R. Bogena, J. D. Bolten, F. Cabot, T. Caklwell, S. Chan, A. Colliander, W. Crown, N. Das, G. De Lannoy, W. Dorigo, S. R. Evett, A. Gruber, S. Hahn, T. Jagdhuber, S. Jones, Y. Kerr, S. Kim, C. Koyama, M. Kurum, E. Lopez-Baeza, F. Mattia, K. McColl, S. Mecklenburg, B. Mohanty, P. Neil, D. Or, T. Pellarin, G. P. Petropoulos, M. Piles, R. H. Reichle, N. Rodriguez-Fernandez, C. Rüdiger, T. Scanlon, R. C. Schwartz, D. Spengler , P. Sirvastava, S. Suman, R. van der Schalie, W. Wagner, U. Wegmüller, J. P. Wigneron, F. Camacho, and J. Nickeson (2020): Soil Moisture Product Validation Good Practices Protocol Version 1.0. In: C. Montzka, M. Cosh, J. Nickeson, F. Camacho (Eds.): Good Practices for Satellite Derived Land Product Validation (p. 123), Land Product Validation Subgroup (WGCV/CEOS), doi: 10.567/doc/ceoswgcv/lpv/sm.001. (Download)
  • Wang, Z., Schaaf, C., Lattanzio, A., Carrer,D., Grant,I., Román, M., Camacho, F., Yu, Y., Sánchez-Zapero, J. & Nickenson, J. (2019). Global Surface Albedo Product Validation Best Practice Protocol. Version 1.0. In Z. Wang, J. Nickenson & M. Román (Eds.), Best Practice for Satellite Derived Land Product Validation (p. 45): Land Product Validation Subgroup (WGCV/CEOS), doi:10.5067/doc/ceoswgcv/lpv/albedo.001 (Download)
  • Guillevic, P., Göttsche, F., Nickeson, J., Hulley, G., Ghent, D., Yu, Y., Trigo, I., Hook, S., Sobrino, J.A., Remedios, J.,Román, M. & Camacho, F. (2017). Land Surface Temperature Product Validation Best Practice Protocol. Version 1.0. In P. Guillevic, F. Göttsche, J. Nickeson & M. Román (Eds.), Best Practice for Satellite-Derived Land Product Validation (p. 60): Land Product Validation Subgroup (WGCV/CEOS), doi:10.5067/doc/ceoswgcv/lpv/lst.001 (Download)
  • Fernandes, R., Plummer, S., Nightingale, J., Baret, F., Camacho, F., Fang, H., Garrigues, S., Gobron, N., Lang, M., Lacaze, R., LeBlanc, S., Meroni, M., Martinez, B., Nilson, T., Pinty, B., Pisek, J., Sonnentag, O., Verger, A., Welles, J., Weiss, M., & Widlowski, J.L. (2014). Global Leaf Area Index Product Validation Good Practices. Version 2.0. In G. Schaepman-Strub, M. Román, & J. Nickeson (Eds.), Best Practice for Satellite-Derived Land Product Validation (p. 76): Land Product Validation Subgroup (WGCV/CEOS), doi:10.5067/doc/ceoswgcv/lpv/lai.002 (Download)
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