Comparative analysis of IKONOS, SPOT, and ETM+ data for leaf area index estimation in temperate coniferous and deciduous forest stands
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K. Soudani | C. François | G. Maire | V. Dantec | E. Dufrene
[1] K. Soudani,et al. Modeling annual production and carbon fluxes of a large managed temperate forest using forest inventories, satellite data and field measurements. , 2005, Tree physiology.
[2] Margaret Kalacska,et al. Leaf area index measurements in a tropical moist forest: A case study from Costa Rica , 2004 .
[3] D. Roberts,et al. Spectral and Structural Measures of Northwest Forest Vegetation at Leaf to Landscape Scales , 2004, Ecosystems.
[4] C. Woodcock,et al. Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland , 2004 .
[5] Xuexia Chen,et al. Using lidar and effective LAI data to evaluate IKONOS and Landsat 7 ETM+ vegetation cover estimates in a ponderosa pine forest , 2004 .
[6] M. Ashton,et al. Hyperion, IKONOS, ALI, and ETM+ sensors in the study of African rainforests , 2004 .
[7] Diofantos G. Hadjimitsis,et al. On the darkest pixel atmospheric correction algorithm: a revised procedure applied over satellite remotely sensed images intended for environmental applications , 2004, SPIE Remote Sensing.
[8] N. Goel,et al. Needle chlorophyll content estimation through model inversion using hyperspectral data from boreal conifer forest canopies , 2004 .
[9] H. Mayer,et al. Measuring and modelling plant area index in beech stands , 2004, International journal of biometeorology.
[10] Prasad S. Thenkabail,et al. Inter-sensor relationships between IKONOS and Landsat-7 ETM+ NDVI data in three ecoregions of Africa , 2004 .
[11] E. Dufrene,et al. Estimation of deciduous forest leaf area index using direct and indirect methods , 1995, Oecologia.
[12] Flowers: Evolution of the Floral Architecture of Angiosperms , 2004 .
[13] Miina Rautiainen,et al. Reduced simple ratio better than NDVI for estimating LAI in Finnish pine and spruce stands , 2004 .
[14] Frédéric Baret,et al. Intercalibration of vegetation indices from different sensor systems , 2003 .
[15] Steven W. Running,et al. Comparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS products , 2003 .
[16] W. Cohen,et al. Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation , 2003 .
[17] Markus Reichstein,et al. Modeling temporal and large‐scale spatial variability of soil respiration from soil water availability, temperature and vegetation productivity indices , 2003 .
[18] J. Townshend,et al. Empirical comparison of Landsat 7 and IKONOS multispectral measurements for selected Earth Observation System (EOS) validation sites , 2003 .
[19] N. Breda. Ground-based measurements of leaf area index: a review of methods, instruments and current controversies. , 2003, Journal of experimental botany.
[20] Pablo J. Zarco-Tejada,et al. Chlorophyll content estimation of Boreal conifers using hyperspectral remote sensing , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).
[21] R. Colombo,et al. Retrieval of leaf area index in different vegetation types using high resolution satellite data , 2003 .
[22] Prasad S. Thenkabail,et al. Detecting floristic structure and pattern across topographic and moisture gradients in a mixed species Central African forest using IKONOS and Landsat-7 ETM+ images , 2003 .
[23] J. Hicke,et al. Global synthesis of leaf area index observations: implications for ecological and remote sensing studies , 2003 .
[24] E. Davidson,et al. Belowground carbon allocation in forests estimated from litterfall and IRGA-based soil respiration measurements , 2002 .
[25] J. Townshend,et al. Development of a MODIS tree cover validation data set for Western Province, Zambia , 2002 .
[26] Chad J. Shuey,et al. Validating MODIS land surface reflectance and albedo products: methods and preliminary results , 2002 .
[27] Naoto Matsumura,et al. Seasonal patterns of canopy structure, biochemistry and spectral reflectance in a broad-leaved deciduous Fagus crenata canopy , 2002 .
[28] D. Antoine,et al. Algal biomass and sea surface temperature in the Mediterranean basin intercomparison of data from various satellite sensors, and implications for primary production estimates , 2002 .
[29] K. Soudani,et al. Leaf area index and canopy stratification in Scots pine ( Pinus sylvestris L.) stands , 2002 .
[30] Uffe Jørgensen,et al. Estimation of leaf area index, light interception and biomass accumulation of Miscanthus sinensis ‘Goliath’ from radiation measurements , 2002 .
[31] M. C. Hansena,et al. Development of a MODIS tree cover validation data set for Western Province , Zambia , 2002 .
[32] Sylvain G. Leblanc,et al. A practical scheme for correcting multiple scattering effects on optical LAI measurements , 2001 .
[33] A. Huete,et al. An error and sensitivity analysis of atmospheric resistant vegetation indices derived from dark target-based atmospheric correction , 2001 .
[34] A. Kuusk,et al. Investigating relationships between Landsat ETM+ sensor data and leaf area index in a boreal conifer forest , 2001 .
[35] A. Dijk,et al. Modelling rainfall interception by vegetation of variable density using an adapted analytical model. Part 1. Model description. , 2001 .
[36] S. Liang. Narrowband to broadband conversions of land surface albedo I Algorithms , 2001 .
[37] J. Walter,et al. Comparaison de méthodes optiques pour estimer l’ouverture de la canopée et l’indice foliaire en forêt feuillue , 2001 .
[38] C. Woodcock,et al. Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? , 2001 .
[39] C. Giardino,et al. Determination of chlorophyll concentration changes in Lake Garda using an image-based radiative transfer code for Landsat TM images , 2001 .
[40] Steven E. Franklin,et al. Texture analysis of IKONOS panchromatic data for Douglas-fir forest age class separability in British Columbia , 2001 .
[41] V. Dantec,et al. Interannual and spatial variation in maximum leaf area index of temperate deciduous stands , 2000 .
[42] D. King,et al. Development of a Forest Health Index Using Multispectral Airborne Digital Camera Imagery , 2000 .
[43] Eric Ceschia,et al. The carbon balance of a young Beech forest , 2000 .
[44] S. Plummer,et al. Perspectives on combining ecological process models and remotely sensed data , 2000 .
[45] S. Leblanc,et al. A Shortwave Infrared Modification to the Simple Ratio for LAI Retrieval in Boreal Forests: An Image and Model Analysis , 2000 .
[46] Tiit Nilson,et al. Inversion of gap frequency data in forest stands , 1999 .
[47] Frank Veroustraete,et al. Seasonal variations in leaf area index, leaf chlorophyll, and water content; scaling-up to estimate fAPAR and carbon balance in a multilayer, multispecies temperate forest. , 1999, Tree physiology.
[48] P. Reich,et al. Evaluation of several measures of canopy openness as predictors of photosynthetic photon flux density in deeply shaded conifer-dominated forest understory , 1999 .
[49] L. Gu,et al. Crown structure and growth efficiency of red spruce in uneven-aged, mixed-species stands in Maine , 1998 .
[50] A. Cutini,et al. Estimation of leaf area index with the Li-Cor LAI 2000 in deciduous forests , 1998 .
[51] S. T. Gower,et al. Leaf area index of boreal forests: theory, techniques, and measurements , 1997 .
[52] Richard A. Fournier,et al. Hierarchical characterization of canopy architecture for boreal forest , 1997 .
[53] Ramakrishna R. Nemani,et al. Measurement and remote sensing of LAI in Rocky Mountain montane ecosystems , 1997 .
[54] P. Teillet. Effects of spectral, spatial, and radiometric characteristics on remote sensing vegetation indices of forested regions , 1997 .
[55] P. Chavez. Image-Based Atmospheric Corrections - Revisited and Improved , 1996 .
[56] P. Teillet,et al. On the Dark Target Approach to Atmospheric Correction of Remotely Sensed Data , 1995 .
[57] George Alan Blackburn,et al. Seasonal variations in the spectral reflectance of deciduous tree canopies , 1995 .
[58] C. Field,et al. Relationships Between NDVI, Canopy Structure, and Photosynthesis in Three Californian Vegetation Types , 1995 .
[59] Nadine Gobron,et al. Optical remote sensing of vegetation: Modeling, caveats, and algorithms , 1995 .
[60] Hank A. Margolis,et al. The historical reconstruction of growth efficiency and its relationship to tree mortality in balsam fir ecosystems affected by spruce budworm , 1994 .
[61] C. Justice,et al. Development of vegetation and soil indices for MODIS-EOS , 1994 .
[62] R. Myneni,et al. On the relationship between FAPAR and NDVI , 1994 .
[63] P. Curran,et al. Factors influencing the amount and distribution of leaf area of pine stands , 1994 .
[64] Didier Tanré,et al. Atmospherically resistant vegetation index (ARVI) for EOS-MODIS , 1992, IEEE Trans. Geosci. Remote. Sens..
[65] J. Norman,et al. Instrument for Indirect Measurement of Canopy Architecture , 1991 .
[66] T. A. Black,et al. Characteristics of shortwave and longwave irradiances under a Douglas-fir forest stand , 1991 .
[67] F. Baret,et al. Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .
[68] Darrel L. Williams. A comparison of spectral reflectance properties at the needle, branch, and canopy level for selected Conifer species , 1991 .
[69] F. Baret,et al. PROSPECT: A model of leaf optical properties spectra , 1990 .
[70] J. Hill,et al. Comparative analysis of landsat-5 TM and SPOT HRV-1 data for use in multiple sensor approaches , 1990 .
[71] Steven W. Running,et al. Remote sensing of temperate coniferous forest leaf area index The influence of canopy closure, understory vegetation and background reflectance , 1990 .
[72] Ghassem R. Asrar,et al. Theory and applications of optical remote sensing. , 1989 .
[73] H. L. Allen,et al. Leaf Area, Stemwood Growth, and Nutrition Relationships in Loblolly Pine , 1988, Forest Science.
[74] A. Huete. A soil-adjusted vegetation index (SAVI) , 1988 .
[75] P. Chavez. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data , 1988 .
[76] W. Verhoef. Light scattering by leaf layers with application to canopy reflectance modelling: The SAIL model , 1984 .
[77] O. Lange. Ecosystem processes : mineral cycling, productivity and man's influence , 1983 .
[78] P. G. Jarvis,et al. Productivity of temperate de-ciduous and evergreen forests , 1983 .
[79] R. Colwell. Remote sensing of the environment , 1980, Nature.
[80] J. A. Schell,et al. Monitoring vegetation systems in the great plains with ERTS , 1973 .
[81] T. Nilson. A theoretical analysis of the frequency of gaps in plant stands , 1971 .
[82] C. Jordan. Derivation of leaf-area index from quality of light on the forest floor , 1969 .
[83] N. H. Brogea,et al. Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density , 2022 .