The contribution of remote sensing to the assessment of drought effects in forest ecosystems
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Dominique Guyon | Olivier Hagolle | O. Hagolle | N. Stach | D. Guyon | M. Deshayes | H. Jeanjean | A. Jolly | Michel . Labo Deshayes | Hervé Jeanjean | Nicolas . Labo Stach | Anne Jolly
[1] A. Huete,et al. A review of vegetation indices , 1995 .
[2] Alexander Baklanov,et al. Monitoring of forest damage in the Kola Peninsula, Northern Russia due to smelting industry , 1999 .
[3] T. M. Bezemer,et al. Root herbivore effects on above-ground herbivore, parasitoid and hyperparasitoid performance via changes in plant quality , 2005 .
[4] Dar A. Roberts,et al. Modeling seasonal changes in live fuel moisture and equivalent water thickness using a cumulative water balance index , 2003 .
[5] P. Holmgren,et al. Satellite remote sensing for forestry planning—A review , 1998 .
[6] Josée Lévesque,et al. Airborne digital camera image semivariance for evaluation of forest structural damage at an acid mine site , 1999 .
[7] B. Gao. NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .
[8] Jesús San-Miguel-Ayanz,et al. Evaluation of RADARSAT-1 Data for Identification of Burnt Areas in Southern Europe. , 2004 .
[9] A. Strahler,et al. Climate controls on vegetation phenological patterns in northern mid‐ and high latitudes inferred from MODIS data , 2004 .
[10] Markus Reichstein,et al. Similarities in ground- and satellite-based NDVI time series and their relationship to physiological activity of a Scots pine forest in Finland , 2004 .
[11] S. Tarantola,et al. Detecting vegetation leaf water content using reflectance in the optical domain , 2001 .
[12] Michael A. Wulder,et al. Sensitivity of the thematic mapper enhanced wetness difference index to detect mountain pine beetle red-attack damage , 2003 .
[13] A. Vidal,et al. Evaluation of a temporal fire risk index in mediterranean forests from NOAA thermal IR , 1994 .
[14] Yann Kerr,et al. IRSUTE: A Minisatellite Project for Land Surface Heat Flux Estimation from Field to Regional Scale , 1999 .
[15] C. Tucker,et al. Increased plant growth in the northern high latitudes from 1981 to 1991 , 1997, Nature.
[16] S. Leblanc,et al. A Shortwave Infrared Modification to the Simple Ratio for LAI Retrieval in Boreal Forests: An Image and Model Analysis , 2000 .
[17] Jesús San-Miguel-Ayanz,et al. Identification of burnt areas in Mediterranean forest environments from ERS-2 SAR time series , 2004 .
[18] Christine Farcy,et al. European long-term research for sustainable forestry : experimental and monitoring assets at the ecosystem and landscape level : Part 2 : ENFORS field facilities , 2005 .
[19] W. G. Rees,et al. Detecting Pollution Damage to Forests in the Kola Peninsula Using the ERS SAR , 2001 .
[20] Guiping Yu,et al. A proposal for universal formulas for estimating leaf water status of herbaceous and woody plants based on spectral reflectance properties , 2000, Plant and Soil.
[21] D. Guyon,et al. Utilisation des donnees du moyen infrarouge de Landsat Thematic Mapper pour la mise en evidence des coupes rases sur le Massif Forestier Landais , 1996 .
[22] Alejandro C. Frery,et al. Exploratory study of the relationship between tropical forest regeneration stages and SIR-C L and C data , 1997 .
[23] Yann Kerr,et al. Accurate land surface temperature retrieval from AVHRR data with use of an improved split window algorithm , 1992 .
[24] Christine Farcy. European long-term research for sustainable forestry : experimental and monitoring assets at the ecosystem and landscape level. : Part 1 , 2005 .
[25] Pablo J. Zarco-Tejada,et al. Hyperspectral Remote Sensing of Forest Condition: Estimating Chlorophyll Content in Tolerant Hardwoods , 2003, Forest Science.
[26] Jean-Pierre Wigneron,et al. An interactive vegetation SVAT model tested against data from six contrasting sites , 1998 .
[27] Marta Chiesi,et al. Estimation of Mediterranean forest transpiration and photosynthesis through the use of an ecosystem simulation model driven by remotely sensed data , 2004 .
[28] F. Maselli. Monitoring forest conditions in a protected Mediterranean coastal area by the analysis of multiyear NDVI data , 2004 .
[29] A. Jolly. Estimation par télédétection satellitaire de la récolte annuelle en bois dans la futaie pure de pin maritime du massif des Landes de Gascogne : apports pour la prévision de la ressource forestière , 1993 .
[30] W. Liu,et al. Monitoring regional drought using the Vegetation Condition Index , 1996 .
[31] D. T. Lindgren. Land use planning and remote sensing , 1984 .
[32] Seppo Nevalainen,et al. Detection of dead or defoliated spruces using digital aerial data , 2002 .
[33] R. Koster,et al. Global Soil Moisture from Satellite Observations, Land Surface Models, and Ground Data: Implications for Data Assimilation , 2004 .
[34] A.Vidal. Atmospheric and emissivity correction of land surface temperature measured from satellite using ground measurements or satellite data , 1991 .
[35] Kenneth J. Ranson,et al. Disturbance recognition in the boreal forest using radar and Landsat-7 , 2003 .
[36] N. Gobron,et al. The MERIS Global Vegetation Index (MGVI): Description and preliminary application , 1999 .
[37] W. M. Ciesla,et al. Interpretation of SPOT-1 color composites for mapping defoliation of hardwood forests by gypsy moth , 1989 .
[38] Eric S. Kasischke,et al. Observations of variations in ERS-1 SAR image intensity associated with forest fires in Alaska , 1994, IEEE Trans. Geosci. Remote. Sens..
[39] N. Gobron,et al. The state of vegetation in Europe following the 2003 drought , 2005 .
[40] P. Maisongrande,et al. Stratified analysis of satellite imagery of SW Europe during summer 2003: the differential response of vegetation classes to increased water deficit , 2005 .
[41] F. Kogan. Droughts of the Late 1980s in the United States as Derived from NOAA Polar-Orbiting Satellite Data , 1995 .
[42] Z. Bochenek,et al. Deterioration of forests in the Sudety Mountains, Poland, detected on satellite images , 1997 .
[43] Benoît Duchemin,et al. Monitoring Phenological Key Stages and Cycle Duration of Temperate Deciduous Forest Ecosystems with NOAA/AVHRR Data , 1999 .
[44] James E. McMurtrey,et al. Temporal relationships between spectral response and agronomic variables of a corn canopy , 1981 .
[45] William D. Bowman,et al. The relationship between leaf water status, gas exchange, and spectral reflectance in cotton leaves , 1989 .
[46] C. Tucker,et al. Satellite remote sensing of primary production , 1986 .
[47] R. Myneni,et al. Climate‐related vegetation characteristics derived from Moderate Resolution Imaging Spectroradiometer (MODIS) leaf area index and normalized difference vegetation index , 2004 .
[48] N. Coops,et al. Assessment and monitoring of damage from insects in Australian eucalypt forests and commercial plantations , 2004 .
[49] Christopher P. Quine,et al. An investigation of the potential of digital photogrammetry to provide measurements of forest characteristics and abiotic damage , 2000 .
[50] S. López,et al. An evaluation of the utility of NOAA AVHRR images for monitoring forest fire risk in Spain , 1991 .
[51] P. Berbigier,et al. MuSICA, a CO2, water and energy multilayer, multileaf pine forest model: evaluation from hourly to yearly time scales and sensitivity analysis , 2003 .
[52] B. Duchemin,et al. Potential and limits of NOAA-AVHRR temporal composite data for phenology and water stress monitoring of temperate forest ecosystems , 1999 .
[53] Andrea Vannini,et al. Interactive effects of drought and pathogens in forest trees , 2006 .
[54] Nadine Gobron,et al. A global vegetation index for SeaWiFS: Design and applications , 2001 .
[55] F. M. Danson,et al. Sensitivity of spectral reflectance to variation in live fuel moisture content at leaf and canopy level , 2004 .
[56] L. Ji,et al. Assessing vegetation response to drought in the northern Great Plains using vegetation and drought indices , 2003 .
[57] Eric S. Kasischke,et al. Initial observations of Radarsat imagery at fire-disturbed sites in interior Alaska , 1999 .
[58] Eric S. Kasischke,et al. Mapping fire scars in global boreal forests using imaging radar data , 2002 .
[59] J. Tenhunen,et al. On the relationship of NDVI with leaf area index in a deciduous forest site , 2005 .
[60] W. Salas,et al. Mapping deforestation and secondary growth in Rondonia, Brazil, using imaging radar and thematic mapper data☆ , 1997 .
[61] B. Rock,et al. Detection of changes in leaf water content using Near- and Middle-Infrared reflectances , 1989 .
[62] Florian Siegert,et al. Monitoring of deforestation and land use in Indonesia with multitemporal ERS data , 1999 .
[63] Eric S. Kasischke,et al. Sensitivity of ERS-1 and JERS-1 radar data to biomass and stand structure in Alaskan boreal forest , 1995 .
[64] N. Breda,et al. Temperate forest trees and stands under severe drought: a review of ecophysiological responses, adaptation processes and long-term consequences , 2006 .
[65] J. Wigneron,et al. Retrieving near-surface soil moisture from microwave radiometric observations: current status and future plans , 2003 .
[66] S. C. Ahearn,et al. A comparison of the SPOT and Landsat thematic mapper satellite systems for detecting gypsy moth defoliation in Michigan , 1991 .
[67] G. Dedieu,et al. Assessing the impacts of the 2003 hot and dry spell with SPOT HRVIR images time series over south‐western France , 2005 .
[68] J. Lagouarde,et al. Experimental study of brightness surface temperature angular variations of maritime pine (Pinus pinaster) stands. , 2000 .
[69] M. Honzak,et al. Tropical Forest Biomass Density Estimation Using JERS-1 SAR: Seasonal Variation, Confidence Limits, and Application to Image Mosaics , 1998 .
[70] J.-C. Valette. Inflammabilités des espèces forestières méditerranéennes. Conséquences sur la combustibilité des formations forestières , 1990 .
[71] P. Ciais,et al. Europe-wide reduction in primary productivity caused by the heat and drought in 2003 , 2005, Nature.
[72] Olivier Hagolle,et al. Quality assessment and improvement of temporally composited products of remotely sensed imagery by combination of VEGETATION 1 and 2 images , 2005 .
[73] F. Holecz,et al. Detection of Windthrow in Mountainous Regions with Different Remote Sensing Data and Classification Methods , 2003 .
[74] M. Dobson,et al. The use of Imaging radars for ecological applications : A review , 1997 .
[75] P. Couteron,et al. Predicting tropical forest stand structure parameters from Fourier transform of very high‐resolution remotely sensed canopy images , 2005 .
[76] William J. Ripple,et al. Spectral reflectance relationships to leaf water stress , 1986 .
[77] V. Wolters,et al. Impact of summer drought on forest biodiversity: what do we know? , 2006 .
[78] J. A. Schell,et al. Monitoring vegetation systems in the great plains with ERTS , 1973 .
[79] S Durrieu,et al. Méthode de comparaison d'images satellitaires pour la détection des changements en milieu forestier. Application aux monts de Lacaune (Tarn, France) , 1994 .
[80] Hans Tømmervik,et al. Monitoring vegetation changes in Pasvik (Norway) and Pechenga in Kola Peninsula (Russia) using multitemporal Landsat MSS/TM data , 2003 .