GRUPO DE INVESTIGACIÓN EN TELEDETECCIÓN AMBIENTAL

 

 

 

 

 

 

 

2017

 

• Garcia, M., Saatchi, S. Casas, A., Koltunov, A., Ustin, S.L., Ramirez, C. & Balzter, H. 2017. Extrapolating forest canopy fuel properties in the California Rim Fire by combining airborne LiDAR and Landsat OLI data. Remote Sensing 9(4), 394; doi:10.3390/rs9040394.

• Garcia, M., Saatchi, S., Casas, A., Koltunov, A., Ustin, S., Ramirez, C., Garcia-Gutierrez, J. & Balzter, H. 2017. Quantifying biomass consumption and carbon release from the California Rim fire by integrating airborne LiDAR and Landsat OLI data. Journal of Geophysical Research: Biogeosciences. 10.1002/2015JG003315.

• Garcia, M., Saatchi, S., Ferraz, A., Silva, C.A., Ustin, S., Koltunov, A. & Balzter, H. 2017. Impact of data model and point density on aboveground forest biomass estimation from airborne LiDAR. Carbon Balance and Management, 12:4. DOI 10.1186/s13021-017-0073-1.

• Martínez, S., Chuvieco, E., Aguado, I., Salas, J. (2017) Severidad y regeneración en grandes incendios forestales: análisis a partir de series temporales de imágenes Landsat. Revista Española de Teledetección (en prensa).

• Nogueira, J., Ruffault, J., Chuvieco, E., Mouillot, F. (2017) Can We Go Beyond Burned Area in the Assessment of Global Remote Sensing Products with Fire Patch Metrics? Remote Sensing, 9(1), p. 7.

• Padilla, M., Olofsson, P., Stehman, S. V., Tansey, K., Chuvieco, E. (2017) Stratification and sample allocation for reference burned area data. Remote Sensing of Environment (in press), https://doi.org/10.1016/j.rse.2017.06.041.

• Pacheco-Angulo, C., Vilanova, E., Aguado, I., Mojardín, S., Martínez, S. (2017) Carbon emissions from deforestation and degradation in a Forest Reserve in Venezuela between 1990-2015. Forests, Vol, 8, p. 291.

• Pettinari, M. L., Chuvieco, E. (2017) Fire Behavior Simulation from Global Fuel and Climatic Information. Forests, 8(6), p. 179, doi:10.3390/f8060179.

• Ramo, R., Chuvieco, E. (2017) Developing a random forest algorithm for MODIS burned area classification. Remote Sensing (In press).

• Silva, C.A., Hudak, A. T., Vierling, L.A., Klauberg, C., Garcia, M., Ferraz, A., Keller, M., Eitel, J. and Saatchi, S. (2017). Impacts of Airborne Lidar Pulse Density on Estimating Biomass Stocks and Changes in a Selectively Logged Tropical Forest. Remote Sensing, 9, 1068; doi:10.3390/rs9101068.

• Silva, C.A., Klauberg, C., Hudak, A.T., Vierling, L.A., Jaafar, W.S.W.M., Mohan, M., Garcia, M., Ferraz, A., Cardil, A. & Saatchi, S.. 2017. Predicting Stem Total and Assortment Volumes in an Industrial Pinus taeda L. Forest Plantation Using Airborne Laser Scanning Data and Random Forest. Forest, 8, 254; doi:10.3390/f8070254.

• Zhao, K., Suarez, J.C., Garcia, M., Hu, T., Wang, C. & Londo, A. Utility of multitemporal lidar for forest and carbon monitoring: Tree growth, biomass dynamics, and carbon flux. Remote Sensing of Environment. http://dx.doi.org/10.1016/j.rse.2017.09.007.

 

2016

 

• Alonso-Canas, I., Chuvieco, E. (2016) Desarrollo de un algoritmo global de área quemada para imágenes del sensor ENVISAT-MERIS. GeoFocus. Revista Internacional de Ciencia y Tecnología de la Información Geográfica, 17, pp. 3-25.

• Casas, A., Garcia, M., Siegel, R., Koltunov, A., Ramirez, C. & Ustin, S. (2016) Burned forest characterization with Airborne Laser Scanning for wildlife habitat suitability assessment. Remote Sensing of Environment. 175, pp. 231 - 241.

• Chuvieco, E. Fundamentals of Satellite Remote Sensing: An environmental approach (2nd Edition) (2016) CRC Press, Boca Raton (USA), 468 pp, ISBN 9781498728058.

• Chuvieco, E., Yue, C., Heil, A., Mouillot, F., Alonso-Canas, I., Padilla, M., Pereira, J. M., Oom, D., Tansey, K. (2016) A new global burned area product for climate assessment of fire impacts. Global Ecology and Biogeography, 25(5), pp. 619-629, doi: 10.1111/geb.12440.

Hantson, S., Pueyo, S., Chuvieco, E. (2016) Global fire size distribution: from power law to log-normal. International Journal of Wildland Fire, 25, 403-412, http://dx.doi.org/10.1071/WF15108.

• Huesca, M., Garcia, M., Roth, K., Casas, A. & Ustin, S. (2016) Canopy Structural Attributes Derived from AVIRIS Data in a Mixed Broadleaf/Conifer. Remote Sensing of Environment. 182, pp. 208 - 226.

• Moreno, M. V., Chuvieco, E. (2016) Fire Regime Characteristics along Environmental Gradients in Spain. Forests, 7(11), 262,  doi:10.3390/f7110262.

• Pettinari, M. L., Chuvieco, E. (2016) Generation of a global fuel dataset using the Fuel Characteristic Classification System. Biogeosciences, 13, pp. 2061-2076, DOI: 10.5194/bg-13-2061-2016.

• Rodríguez, V.M., Aguado, I., Aguilera, F., Bosque, J., Chuvieco, E., Escobar, F., Gómez Delgado, M., Salado, M. J., Salas, J. (2016) Competencias en Tecnologías de la Información Geográfica (TIG) en los estudios universitarios: reflexión y propuesta participativas. Cuadernos Geográficos, 55 (1), p. 360-382.

 

2015

 

• Alonso-Canas, I., Chuvieco, E. (2015) Global burned area mapping from ENVISAT-MERIS and MODIS active fire data. Remote Sensing of Environment, 163, pp. 140-152, doi:10.1016/j.rse.2015.03.011.

• Chuvieco, E. (2015) Mirar desde el Espacio: Aportaciones de la Teledetección a la Geografía. Boletín de la Real Sociedad Geográfica, 150, pp. 133-151, 2014-2015. Eskandari, S., Chuvieco, E. (2015) Fire danger assessment in Iran based on geospatial information. International Journal of Applied Earth Observation and Geoinformation, 42(0), pp. 57-64, http://dx.doi.org/10.1016/j.jag.2015.05.006.

• Garcia, M., Gajardo, J., Riaño, D., Zhao, K., Martin, P. & Ustin, S. (2015) Canopy clumping appraisal using terrestrial and airborne laser scanning. Remote Sensing of Environment. 161,pp. 78 - 88.

• Garcia-Gutierrez, J., Mateos, D., Garcia, M. & Riquelme, J. (2015) An Evolutionary Majority Voting to Improve Support Vector Machines' Classification of LIDAR and Imagery Data Fusion. Neurocomputing. 163, pp. 17 - 24.

• Gómez, I., Martín, M.P. y Salas, J. (2015) Análisis del régimen de incendios forestales y su relación con los cambios de uso del suelo en la comunidad autónoma de Madrid (1989-2010). Geofocus, 16, 281-304. http://www.geofocus.org/index.php/geofocus/article/view/401.

• Hantson, S., Lasslop, G., Kloster, S., Chuvieco, E. (2015) Anthropogenic effects on global mean fire size. International Journal of Wildland Fire, 24, 589-596, http://dx.doi.org/10.1071/WF14208.

• Hantson, S., Pueyo, S., Chuvieco, E. (2015) Global fire size distribution is driven by human impact and climate. Global Ecology and Biogeography, doi: 10.1111/geb.12246, vol. 24, 77-86

• Padilla, M., Stehman, S. V., Ramo, R., Corti, D., Hantson, S., Oliva, P., Alonso-Canas, I., Bradley, A., Tansey, K., Mota, B., Pereira, J. M., Chuvieco, E. (2015) Comparing the Accuracies of Remote Sensing Global Burned Area Products using Stratified Random Sampling and Estimation. Remote Sensing of Environment, 160, pp. 114-121, https://doi.org/10.1016/j.rse.2015.01.005.

• Petinari, M. L., Chuvieco, E. (2015) Cartografía de combustible y potenciales de incendio en el Continente Africano utilizando FCCS. Revista de Teledetección (43), pp. 1-10, http://dx.doi.org/10.4995/raet.2015.2302.

• Zhao, K., Garcia, M., Liu, S., Guo, Q., Chen, G., Zhang, X. & Zhou, Y. (2015) Measuring forest with ground-based terrestrial lidar: Maximum likelihood estimates of canopy profile, leaf area, and leaf angle distribution. Agricultural and Forest Meteorology. 209-210, pp. 100 - 113.

 

2014

 

• Bastarrika, A., Alvarado, M., Artano, K., Martinez, M.P., Mesanza, A., Torre, L., Ramo, R., Chuvieco, E. (2014) BAMS: A Tool for Supervised Burned Area Mapping Using Landsat Data. Remote Sensing, 6, 12360-12380, doi:10.3390/rs61212360.

• Casas, A., Riaño, D., Ustin, S.l., Dennison, P. y Salas, J. (2014). Estimation of water-related biochemical and biophysical vegetation properties using multitemporal airborne hyperspectral data and its comparison to MODIS spectral responseIntegrating geospatial information into fire risk assessment. Remote Sensing of Environment, 148, 28-41 (http://dx.doi.org/10.1016/j.rse.2014.03.011).

•de Tomás, A., Nieto, H., Guzinski, R., Salas, J., Sandholt, I. y Berliner, P. (2014). Validation and scale dependencies of the triangle method for the evaporative fraction estimation over heterogeneous areas. Remote Sensing of Environment, 152, 493-511 (http://dx.doi.org/10.1016/j.rse.2014.06.0281).

•Bastarrika, A., Alvarado, M., Artano, K., Martinez, M.P., Mesanza, A., Torre, L., Ramo, R., & Chuvieco, E. (2014). BAMS: A Tool for Supervised Burned Area Mapping Using Landsat Data. Remote Sensing, 6, 12360-12380

•Chuvieco, E., Aguado, I., Jurdao, S., Pettinari, M.L., Yebra, M., Salas, J., Hantson, S., de la Riva, J., Ibarra, P., Rodrigues, M., Echeverría, M., Azqueta, D., Román, M.V., Bastarrika, A., Martínez, S., Recondo, C., Zapico, E. y  Martínez-Vega, F.J. (2014). Integrating geospatial information into fire risk assessment. International Journal of Wildland Fire, 23, 606–619 (http://dx.doi.org/10.1071/WF12052).

•Chuvieco, E., Martinez, S., Roman, M.V., Hantson, S. y  Pettinari, L. (2014). Integration of ecological and socio-economic factors to assess global wildfire vulnerability. Global Ecology and Biogeography, 23, 245-258.

•Hantson, S., Pueyo, S. y  Chuvieco, E. (2014). Global fire size distribution is driven by human impact and climate. Global Ecology and Biogeography.

•Jurdao, S., Yebra, M., Oliva, P. y  Chuvieco, E. (2014). Laboratory Measurements of Plant Drying. Photogrammetric Engineering & Remote Sensing, 80, 451-459.

•Moreno, M.V., Conedera, M., Chuvieco, E. y  Pezzatti, G.B. (2014). Fire regime changes and major driving forces in Spain from 1968 to 2010. Environmental Science & Policy, 37, 11-22.

•Mouillot, F., Schultz, M.G., Yue, C., Cadule, P., Tansey, K., Ciais, P. y  Chuvieco, E. (2014). Ten years of global burned area products from spaceborne remote sensing—A review: Analysis of user needs and recommendations for future developments. International Journal of Applied Earth Observation and Geoinformation, 26, 64-79.

•Pacheco, CE., Aguado, I. y Mollicone D (2014). Identification and characterization of deforestation hot spots in Venezuela using MODIS satellite images. Acta Amazonica, 44 (2), 185-196.

•Padilla, M., Stehman, S.V. y  Chuvieco, E. (2014). Validation of the 2008 MODIS-MCD45 global burned area product using stratified random sampling. Remote Sensing of Environment, 144, 187-196.

•Padilla, M., Stehman, S.V., Litago, J. y  Chuvieco, E. (2014). Assessing the Temporal Stability of the Accuracy of a Time Series of Burned Area Products. Remote Sensing, 6, 2050-2068.

•Pettinari, M.L., Ottmar, R., Prichard, S., Andreu, A., Chuvieco E. (2014) Development and mapping of fuel characteristics and associated fire potentials for South America. International Journal of Wildland Fire, 23(5), 643-654 (http://dx.doi.org/10.1071/WF12137).

•Van Leeuwen, T.T., van der Werf, G.R., Hoffmann, A.A., Detmers, R.G., Rücker, G., French N.H.F., Archibald, S., Carvalho Jr., J.A., Cook, G.D., de Groot, W.J., Hély, C., Kasischke, E.S., Kloster, S., McCarty, J.L., Pettinari, M.L, Savadogo, P., Alvarado, E.C., Boschetti, L., Manuri, S., Meyer, C.P., Siegert, F., Trollope L.A., y Trollope, W.S.W. Biomass burning fuel consumption rates: a field measurement database. Biogeosciences (accepted for publication). Available at: Biogeosciences Discuss. 11, 8115-8180 (http://dx.doi.org/10.5194/bg-11-7305-2014).

 

2013

 

•Hantson, S., Padilla, M., Corti, D. y  Chuvieco, E. (2013). Strengths and weaknesses of MODIS hotspots to characterize global fire occurrence. Remote Sensing of Environment, 131, 152-159.

•Hollmann, R., Merchant, C.J., Saunders, R.W., Downy, C., Buchwitz, M., Cazenave, A., Chuvieco, E., Defourny, P., Leeuw, G.D., Forsberg, R., Holzer-Popp, T. y  Paul, F. (2013). The ESA Climate Change Initiative: satellite data records for essential climate variables. Bulletin of the American Meteorological Society, 94, 1541-1552.

•Jurdao, S., Yebra, M., Bastarrica, A. y  Chuvieco, E. (2013). Live fuel moisture content and ignition probability in the Iberian peninsular territory of Spain. GeoFocus, 13 (2), 25-40.
•Jurdao, S., Yebra, M., Guerschman, J.P. y  Chuvieco, E. (2013). Regional estimation of woodland moisture content by inverting Radiative Transfer Models. Remote Sensing of Environment, 132, 59-70.

•Martínez, J., Chuvieco, E. y  Koutsias, N. (2013). Modelling long-term fire occurrence factors in Spain by accounting for local variations with geographically weighted regression. Natural Hazards and Earth System Sciences, 13(2), 311-327.

•Moreno, V. y  Chuvieco, E. (2013). Characterising fire regimes in Spain from fire statistics. International Journal of Wildland Fire, 22, 296–305.

•Pettinari, M.L. y Chuvieco, E. (2013). Association between fire causative agents within land cover types and global fire occurrence. Earth Observation of Global Changes (EOGC), Springer Berlin Heidelberg, 269-283.

•Yebra, M., Dennison, P., Chuvieco, E., Riaño, D., Zylstra, P., Hunt, E.R., Danson, F.M., Qi, Y. y  Jurdao, S. (2013). A global review of remote sensing of live fuel moisture content for fire danger assessment: moving towards operational products Remote Sensing of Environment, 136, 455-468.

 

2012

 

•Anaya, J.A. y  Chuvieco, E. (2012). Accuracy Assessment of Burned Area Products in the Orinoco Basin. Photogrammetric Engineering and Remote Sensing, 78, 53-60.

•Chuvieco, E. (2012). Religious approaches to water management and environmental conservation. Water Policy, 14, 9-20.
•Chuvieco, E., Sandow, C., Guenther, K.P., González-Alonso, F., Pereira, J.M.C., Pérez, O., Bradley, A.V., Schultz, M., Mouillot, F. y  Ciais, P. (2012). Global burned area mapping from european satellites: the ESA FIRE_CCI project. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXIX-B8, 13-16.

•Demaría, M.  y Aguado, I. (2012): Reemplazo de pastizales pampeanos semiáridos de Argentina. Cambios de uso en los pastizales pampeanos de San Luis (Argentina), relacionados con variables climáticas y ambientales. Editorial Académica Española. 176 p.

•García, M., Popescu, S., Riaño, D., Zhao, K., Neuenschwander, A., Agca, M. y  Chuvieco, E. (2012). Characterization of canopy fuels using ICESat/GLAS data. Remote Sensing of Environment, 123, 81-89.

•Jurdao, S., Chuvieco, E. y  Arevalillo, J.M. (2012). Modelling fire ignition probability from satellite estimates of live fuel moisture content. Fire Ecology, 8, 77-97.

•Nieto, H., Aguado, I., Garcia, M. y  Chuvieco, E. (2012). Lightning-caused fires in Central Spain: Development of a probability model of occurrence for two Spanish regions. Agricultural and Forest Meteorology, 162-163, 35-43.

•Romero, A., Aguado, I y Yebra, M (2012). Estimation of dry matter content in leaves using normalized indexes and PROSPECT model inversion. International Journal of Remote Sensing, 33 (2), 396-414.

•Verdu F., Salas J. and Vega-Garcia C. (2012): A multivariate analysis of biophysical factors and forest fires in Spain, 1991-2005. International Journal of Wildland Fire. 21(5) 498-509.

•Villers-Ruiz, L., Chuvieco, E. y Aguado I (2012). Aplicación del índice meteorológico de incendios canadiense en un Parque Nacional del centro de México. Revista Mexicana de Ciencias Forestales, 3 (11), 25-40


2011

 

•Bastarrika, A., Chuvieco, E., y Martin, M.P. (2011): Automatic Burned Land Mapping From MODIS Time Series Images: Assessment in Mediterranean Ecosystem. IEEE Transactions on Geoscience and Remote Sensing, vol. 49, pp. 3401-3413.

•Bastarrika, A, Chuvieco, E. y Martin, P. (2011): Mapping burned areas from Landsat TM/ETM+ data with a two-phase algorithm: balancing omission and commission errors. Remote Sensing of Environment, vol. 115, pp. 1003-1012.

•García, M., Danson M., Riaño D., Chuvieco E., Ramirez A., Bandugula V. (2011): Terrestrial laser scanning to estimate plot-level forest canopy fuel properties. International Journal of Applied Earth Observation and Geoinformation 13 636–645. doi:10.1016/j.jag.2011.03.006.

•García M., Riaño D., Chuvieco E., Salas J., Danson M. (2011): Multispectral and LiDAR data fusion for fuel type mapping using Support Vector Machine and decision rules. Remote Sensing of Environment, Volume 115, Issue 6. PAges 1369-1379.

•Hantson, S., Chuvieco, E. (2011): Evaluation of different topographic correction methods for Landsat imagery. International Journal of Applied Earth Observation and Geoinformation 13 (2011) 691 - 700.
•Nieto, H., I. Sandholt, I. Aguado, E. Chuvieco y S. Stisen (2011): Air temperature estimation with MSG-SEVIRI data: Calibration and validation of the TVX algorithm for the Iberian Peninsula. Remote Sensing of Environment 115: 107-116.

•Oliva, P., Martin, P., y Chuvieco, E. (2011): Burned area mapping with MERIS post-fire image. International Journal of Remote Sensing, vol. 32, pp. 4175-4201.

•Pacheco, C., Aguado, I., Mollicone, D.. (2011): Dinámica de la deforestación en Venezuela: análisis de los cambios a partir de mapas históricos. Interciencia: 36 (8) 578-586.
•Pacheco, C., Aguado, I., Mollicone, D.. (2011): Las causas de la deforestación en Venezuela: un estudio retrospectivo. Biollania, 10, pp. 281-292.

Verdú, F. y Salas, J. (2011): Caracterización de variables biofísicas en los incendios forestales mayores de 25 ha de la España peninsular (1991-2005), Boletín de la Asociación de Geógrafos Españoles, 57, 79-100.

 

 

2010

 

•Chuvieco, E. y A. Huete (2010): Fundamentals of Satellite Remote Sensing, Boca Raton (FL), CRC Press.

•Chuvieco, E., I. Aguado, M. Yebra, H. Nieto, J. Salas, P. Martín, L. Vilar, J. Martínez, S. Martín, P. Ibarra, J. de la Riva, J. Baeza, F. Rodríguez, J. R. Molina, M. A. Herrera y R. Zamora (2010): Development of a framework for fire risk assessment using remote sensing and geographic information system technologies. Ecological Modelling, 221: 46-58.

•Garcia, M., Riaño, D., E. Chuvieco y F. M. Danson (2010): Estimating biomass carbon stocks for a Mediterranean forest in central Spain using LiDAR height and intensity data. Remote Sensing of Environment 114: 816-830.

•Martinez, S., P. Ramil y E. Chuvieco (2010): Monitoring loss of biodiversity in cultural landscapes. New methodology based on satellite data. Landscape and Urban Planning, 94: 127-140.

•Martín, M.P., García, M., Martínez-Vega, F.J. (2010). Avances en teledetección: instrumentos y aplicaciones. Ciudad y Territorio: Estudios Territoriales. Volumen: 165-166: 551-564.

•Nieto, H., I. Aguado, E. Chuvieco y I. Sandholt (2010): Dead fuel moisture estimation with MSG–SEVIRI data. Retrieval of meteorological data for the calculation of the equilibrium moisture content. Agricultural and Forest Meteorology, 150: 861–870.

•Schulz, J., Cayuela, L., Echeverria, C., Salas, J. y Rey Benayas, J.M. (2010): Monitoring land cover change of the dryland forest landscape of Central Chile (1975–2008), Applied Geography 30, 436-447.

•Verdú, F. y Salas,  J. (2010): Cartografía de áreas quemadas mediante análisis visual de imágenes de satélite en la España peninsular para el período 1991-2005, GeoFocus 10, 54-81.

•Vega-García, C., J. Tatay-Nieto, R. Blanco y E. Chuvieco (2010): Evaluation of the Influence of Local Fuel Homogeneity on Fire Hazard through Landsat-5 TM Texture Measures. Photogrammetric Engineering and Remote Sensing, 76 853-864.

 

2009

 

•Anaya, J. A., E. Chuvieco y A. Palacios-Orueta (2009): Aboveground biomass assessment in Colombia: A remote sensing approach. Forest Ecology and Management, 257: 1237-1246.

•Chuvieco, E. (2009): Global impacts of Fire, en  Earth Observation of Wildland Fires in Mediterranean Ecosystems (editado por E. Chuvieco). Berlin - Heidelberg, Springer-Verlag: 1-10.

•Chuvieco, E. (Ed.)  (2009): Earth observation of wildland fires in Mediterranean ecosystems, Berlin Heidelberg, Springer

•Chuvieco, E., I. Aguado, M. Yebra, H. Nieto, J. Salas, P. Martín, L. Vilar, J. Martínez, S. Martín, P. Ibarra, J. de la Riva, J. Baeza, F. Rodríguez, J. R. Molina, M. A. Herrera y R. Zamora (2009): Development of a framework for fire risk assessment using remote sensing and geographic information system technologies. Ecological Modelling, doi:10.1016/j.ecolmodel.2008.11.017.

•Chuvieco, E., I. González, F. Verdú, I. Aguado y M. Yebra (2009): Prediction of fire occurrence from live fuel moisture content measurements in a Mediterranean ecosystem. International Journal of Wildland Fire, 18: 430-441.

•Chuvieco, E., J. Wagtendok, D. Riaño, M. Yebra y S. Ustin (2009): Estimation of fuel conditions for fire danger assessment, en  Earth observation of wildland fires in Mediterranean ecosystems (editado por E. Chuvieco). Berlin Heidelberg, Springer 83-96.

•De Santis, A. y E. Chuvieco (2009): GeoCBI: A modified version of the Composite Burn Index for the initial assessment of the short-term burn severity from remotely sensed data. Remote Sensing of Environment, 113: 554–562.

•De Santis, A., E. Chuvieco y P. Vaughan (2009): Short-term assessment of burn severity using the inversion of PROSPECT and GeoSail models. Remote Sensing of Environment, 113: 126-136.

•García, M., Prado, E., Riaño, D., Chuvieco, E., y Danson, F.M. (2009). Ajuste planimétrico de datos LiDAR para la estimación de características dasométricas en el parque natural del Alto Tajo. Geofocus, Volumen: 9: 184-208

•Martínez, J., C. Vega-García y E. Chuvieco (2009): Human-caused wildfire risk rating for prevention planning in Spain. Journal of Environmental Management, 90: 1241-1252.

•Moreno M.V. y Chuvieco E. (2009): Validación de productos globales de cobertura del suelo en la España peninsular. Revista de Teledetección. 31, pp. 5 - 22.

•Pacheco C., Aguado I., Nieto H.. (2009). Análisis de ocurrencia de incendios forestales causados por rayo en la España peninsular”. Madrid España. GeoFocus. Numero 9, p. 232-249.

•Yebra, M. y E. Chuvieco (2009): Linking ecological information and radiative transfer models to estimate fuel moisture content in the Mediterranean region of Spain: Solving the ill-posed inverse problem. Remote Sensing of Environment 113: 2403-41.

 

2008

 

•Chuvieco, E. (2008): Satellite observation of biomass burning: implications in global change research, en  Earth Observation and Global Change (editado por E. Chuvieco). New York, Springer: 109-142.

•Chuvieco, E. (2008): Teledetección Ambiental: La observación de la Tierra desde el Espacio. 4ª edición, Barcelona, Ariel Ciencia.

•Chuvieco, E. (Ed.)  (2008): Earth observation of global change: the role of satellite remote sensing in monitoring global environment, New York, Springer Berlin Heidelberg.

•Chuvieco, E. y C. Justice (2008): NASA Earth Observation Satellite Missions for Global Change Research, en  Earth Observation and Global Change (editado por E. Chuvieco). New York, Springer: 23-47.

•Chuvieco, E., L. Giglio y C. O. Justice (2008): Global Characterization of Fire Activity: Towards Defining Fire Regimes From Earth Observation Data. Global Change Biology, 14: 1488-1502.

•Chuvieco, E., P. Englefield, A. P. Trishchenko y Y. Luo (2008): Generation of long time series of burn area maps of the boreal forest from NOAA–AVHRR composite data. Remote Sensing of Environment, vol. 112: 2381-2396.

•Chuvieco, E., S. Opazo, W. Sione, H. Del Valle, J. Anaya, C. Di Bella, I. Cruz, L. Manzo, G. López, N. Mari, F. González-Alonso, F. Morelli, A. Setzer, I. Csiszar, J. A. Kanpandegi, A. Bastarrika y R. Libonati (2008): Global Burned Land Estimation in Latin America using MODIS Composite Data. Ecological Applications, 18: 64-79.

•Demaría, MR. y Aguado I (2008): Reemplazo y fragmentación de pastizales pampeanos semiáridos en San Luis, Argentina. Ecología Austral, 18, pp. 55-70.

•Garcia, M., E. Chuvieco, H. Nieto e I. Aguado (2008): Combining AVHRR and meteorological data for estimating live fuel moisture content in forest fire danger rating. Remote Sensing of Environment, 112: 3618-3627, doi:10.1016/j.rse.2008.05.002.

•Kelly, R. y D. K. Hall (2008): Remote sensing of terrestrial snow and ice for global change studies, en  Earth Observation and Global Change (editado por E. Chuvieco). New York, Springer: 189-220.

•Yebra, M. y E. Chuvieco (2008): Modelos de simulación de reflectividad en ecología: potencialidades y problemas. Ecosistemas 17: 23-38.

•Yebra, M., E. Chuvieco y D. Riaño (2008): Estimation of live Fuel Moisture Content from MODIS images for fire risk assessment. Agricultural and Forest Meteorology, 148: 523-536.

•Yebra, M., E. Chuvieco y I. Aguado (2008): Comparación de Modelos Empíricos y de Transferencia Radiativa para Estimar Contenido de Humedad en Pastizales: Poder de Generalización. Revista Española de Teledetección, 29 73-90.

  

2007


•Aguado, I., E. Chuvieco, R. Boren y H. Nieto (2007): Estimation of dead fuel moisture content from meteorological data in Mediterranean areas. Applications in fire danger assessment. International Journal of Wildland Fire, 16: 390-397.

•Chuvieco, E., A. De Santis, D. Riaño y K. Halligan (2007): Simulation approaches for burn severity estimation using remotely sensed images. Journal of Fire Ecology, 3: 129-150.

•De Santis, A. y E. Chuvieco (2007): Burn severity estimation from remotely sensed data: performance of simulation versus empirical models. Remote Sensing of Environment, 108: 422-435.

•Martin, M. P., E. Chuvieco, P. Oliva, F. Rodriguez-Verdú, H. Nieto y D. P. Paredes (2007): Un ejemplo práctico de aplicación operativa de la teledetección a la gestión de riesgos naturales: cartografía y evaluación urgente de áreas quemadas en Galicia. Cuadernos de investigación geográfica, 33: 19-37.

•Riaño, D., E. Chuvieco, S. L. Ustin, J. Salas, J. R. Rodríguez-Pérez, L. M. Ribeiro, D. X. Viegas, J. M. Moreno y H. Fernández (2007): Estimation of shrub height for fuel type mapping combining airborne LiDAR and simultaneous color infrared ortho image. International Journal of Wildland Fire, 16: 341-348.

•Santana, L. M. y Salas, J. (2007): Análisis de cambios en la ocupación del suelo ocurridos en sabanas de Colombia entre 1987 y 2001, usando imágenes Landsat, GeoFocus 7, 281-313.

 

2006


•Chuvieco, E., D. Riaño, F. M. Danson y M. P. Martín (2006): Use of a radiative transfer model to simulate the post-fire spectral response to burn severity. Journal of Geophysical Research - Biosciences, 111: doi:10.1029/2005JG000143.

•Cayuela, L., Golicher, D.J., Salas Rey, J. y Rey Benayas, J.M. (2006): Classification of a complex landscape using Dempster-Shafer theory of evidence, International Journal of Remote Sensing 27, 1951-1971.

•Cayuela, L., Rey Benayas, J.M., Justel, A. y Salas-Rey, J. (2006): Modelling tree diversity in a highly fragmented tropical montane landscape, Global Ecology and Biogeography 15, 602-613.

•De Santis, A., P. Vaughan y E. Chuvieco (2006): Foliage moisture content estimation from 1-D and 2-D spectroradiometry for fire danger assessment. Journal of Geophysical Research - Biosciences, 111: doi:10.1029/2005JG000149.

•Vega-Garcia, C. y E. Chuvieco (2006): Applying local measures of spatial heterogeneity to Landsat-TM images for predicting wildfire occurrence in Mediterranean landscapes. Landscape Ecology, 21: 595-605.

 

2005

 

•Chuvieco, E., D. Riaño, F. M. Danson, P. Bowyer y M. P. Martín (2005): Use of canopy reflectance models to simulate burn severity levels, en Proceedings of the 5th International Workshop on Remote Sensing and GIS applications to Forest Fire Management: Fire Effects Assessment (editado por J. Riva, F. Pérez-Cabello y E. Chuvieco). Paris, Universidad de Zaragoza, GOFC-GOLD, EARSeL: 233-238.

•Chuvieco, E., G. Ventura y M. P. Martín (2005): AVHRR multitemporal compositing techniques for burned land mapping. International Journal of Remote Sensing, 26: 1013-1018.

•Chuvieco, E., G. Ventura, M. P. Martín y I. Gomez (2005): Assessment of multitemporal compositing techniques of MODIS and AVHRR images for burned land mapping. Remote Sensing of Environment, 94: 450 – 462.

•Chuvieco, E., J. Bosque, X. Pons, C. Conesa, J. M. Santos, J. G. Puebla, M. J. Salado, M. P. Martín, J. d. l. Riva, J. Ojeda y M. J. Prados (2005): ¿Son las Tecnologías de la Información Geográfica (TIG) parte del núcleo de la Geografía? Boletín de la Asociación de Geógrafos Españoles, 40: 35-55.

•Koutsias, N., J. Martínez, E. Chuvieco y B. Allgöwer (2005): Modelling Wildland Fire Occurrence in Southern Europe by Geographically Weighted Regression Approach, en  5th International Workshop on Remote Sensing and GIS Applications to Forest Fire Management: Fire Effects Assessment (editado por J. De la Riva, Pérez-Cabello, F. & Chuvieco, E.). Zaragoza, 16-18 de Junio, 2005: 57-60.

•Martín, M. P., I. Gómez y E. Chuvieco (2005): Performance of a burned-area index (BAIM) for mapping Mediterranean burned scars from MODIS data, en Proceedings of the 5th International Workshop on Remote Sensing and GIS applications to Forest Fire Management: Fire Effects Assessment (editado por J. Riva, F. Pérez-Cabello y E. Chuvieco). Paris, Universidad de Zaragoza, GOFC-GOLD, EARSeL: 193-198.

•Palacios-Orueta, A., E. Chuvieco, A. Parra y C. Carmona-Moreno (2005): Biomass burning emissions: A review of models using remote-sensing data.Environmental Monitoring and Assessment, 104: 189-209.

•Parra, A. y E. Chuvieco (2005): Assessing burn severity using Hyperion data, en  Proceedings of the 5th International Workshop on Remote Sensing and GIS applications to Forest Fire Management: Fire Effects Assessment (editado por J. Riva, F. Pérez-Cabello y E. Chuvieco). Paris, Universidad de Zaragoza, GOFC-GOLD, EARSeL: 239-244.

•Riaño, D., P. Vaughan, E. Chuvieco, P. Zarco-Tejada y S. L. Ustin (2005): Estimation of Fuel Moisture Content by Inversion of Radiative Transfer Models to Simulate Equivalent Water Thickness and Dry Matter Content: Analysis at Leaf and Canopy Level. IEEE Transactions on Geoscience and Remote Sensing, 43: 819-826.

•Yebra, M., A. de Santis y E. Chuvieco (2005): Estimación del peligro de incendios a partir de teledetección y variables meteorológicas: variación temporal del contenido de humedad del combustible". Recursos Rurais, 1: 9-19.