Assessing the performance of NDVI as a proxy for plant biomass using non-linear models: a case study on the Kerguelen archipelago
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D. Pontier | H. Santin-Janin | M. Garel | J. Chapuis | D. Pontier | M. Garel | H. Santin-Janin | J.-L. Chapuis | Dominique Pontier | Jean-Louis Chapuis | Hugues Santin-Janin
[1] P. Duncan,et al. Food selection by European roe deer (Capreolus capreolus): effects of plant chemistry, and consequences for the nutritional value of their diets , 2009 .
[2] D. Verbyla. The greening and browning of Alaska based on 1982-2003 satellite data , 2008 .
[3] J. Comiso,et al. Relationship between satellite-derived land surface temperatures, arctic vegetation types, and NDVI , 2008 .
[4] Wanqin Guo,et al. Vegetation cover changes and their relationship to climate variation in the source region of the Yellow River, China, 1990–2000 , 2008 .
[5] R. Aragón,et al. Linking vegetation heterogeneity and functional attributes of temperate grasslands through remote sensing , 2008 .
[6] P. Fauchald,et al. Induced Shift in Ecosystem Productivity? Extensive Scale Effects of Abundant Large Herbivores , 2007, Ecosystems.
[7] C. Knechtel,et al. Ecological Cues, Gestation Length, and Birth Timing in African Buffalo (syncerus Caffer) , 2007 .
[8] Kjell Arild Høgda,et al. What regulate and limit reindeer populations in Norway , 2007 .
[9] George Wittemyer,et al. Breeding phenology in relation to NDVI variability in free‐ranging African elephant , 2007 .
[10] Nathalie Pettorelli,et al. Early onset of vegetation growth vs. rapid green-up: impacts on juvenile mountain ungulates. , 2007, Ecology.
[11] Susan A. Murphy,et al. Monographs on statistics and applied probability , 1990 .
[12] N. Pettorelli,et al. Inter-specific synchrony of two contrasting ungulates: wild boar (Sus scrofa) and roe deer (Capreolus capreolus) , 2007, Oecologia.
[13] K. Høgda,et al. The length of growing season and adult sex ratio affect sexual size dimorphism in moose. , 2006, Ecology.
[14] P. Beck,et al. Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI , 2006 .
[15] N. Pettorelli,et al. Using the satellite-derived NDVI to assess ecological responses to environmental change. , 2005, Trends in ecology & evolution.
[16] D. A. Stow,et al. Relationship between AVHRR surface temperature and NDVI in Arctic tundra ecosystems , 2005 .
[17] G. Seber,et al. Nonlinear Regression: Seber/Nonlinear Regression , 2005 .
[18] Barrow Atqasuk Oumalik Ivotuk West Dock Deadhorse Frankli Sagwon. Spatial heterogeneity of tundra vegetation response to recent temperature changes , 2005 .
[19] Oskar Hagberg,et al. More efficient estimation of plant biomass , 2004 .
[20] O. Liberg,et al. When range expansion rate is faster in marginal habitats , 2004 .
[21] C. Dibari,et al. Satellite estimate of grass biomass in a mountainous range in central Italy , 2003, Agroforestry Systems.
[22] Agustín Lobo,et al. Analysis of fine-scale spatial pattern of a grassland from remotely-sensed imagery and field collected data , 1998, Landscape Ecology.
[23] Brent N. Holben,et al. Accuracy of the AVHRR vegetation index as a predictor of biomass, primary productivity and net CO2 flux , 1989, Vegetatio.
[24] C. Tucker,et al. North American vegetation patterns observed with the NOAA-7 advanced very high resolution radiometer , 1985, Vegetatio.
[25] Chang‐Hoi Ho,et al. Detection of large-scale climate signals in spring vegetation index (normalized difference vegetation index) over the Northern Hemisphere , 2003 .
[26] David R. Anderson,et al. Model selection and multimodel inference : a practical information-theoretic approach , 2003 .
[27] Christina Gloeckner,et al. Modern Applied Statistics With S , 2003 .
[28] Georges Janeau,et al. GPS approach to study fine-scale site use by wild red deer during active and inactive behaviors , 2003 .
[29] P. Beaudeau. Time Series Analyses , 2002 .
[30] J. Peñuelas,et al. Responses to a Warming World , 2001, Science.
[31] J. Chen. Spatial Scaling of a Remotely Sensed Surface Parameter by Contexture , 1999 .
[32] A. W. Kemp,et al. Randomization, Bootstrap and Monte Carlo Methods in Biology , 1997 .
[33] J. Paruelo,et al. ANPP ESTIMATES FROM NDVI FOR THE CENTRAL GRASSLAND REGION OF THE UNITED STATES , 1997 .
[34] C. D. Keeling,et al. Global net carbon exchange and intra‐annual atmospheric CO2 concentrations predicted by an ecosystem process model and three‐dimensional atmospheric transport model , 1996 .
[35] S. Gandia,et al. Analyses of spectral-biophysical relationships for a corn canopy , 1996 .
[36] T. Hobbs,et al. The use of NOAA-AVHRR NDVI data to assess herbage production in the arid rangelands of Central Australia , 1995 .
[37] Ranga B. Myneni,et al. The interpretation of spectral vegetation indexes , 1995, IEEE Transactions on Geoscience and Remote Sensing.
[38] Jesslyn F. Brown,et al. Measuring phenological variability from satellite imagery , 1994 .
[39] R. Tibshirani,et al. An Introduction to the Bootstrap , 1995 .
[40] S. Pinzke,et al. NOAA/A AVHRR data for crop productivity estimation in Sweden , 1993 .
[41] Piers J. Sellers,et al. Relations between surface conductance and spectral vegetation indices at intermediate (100 m2 to 15 km2) length scales , 1992 .
[42] P. Sellers,et al. SEISMIC EVIDENCE FOR A LOW-VELOCITY LUNAR CORE , 1992 .
[43] Christine Osborne,et al. Statistical Calibration: A Review , 1991 .
[44] A. Diouf,et al. AVHRR monitoring of savanna primary production in Senegal, West Africa: 1987-1988 , 1991 .
[45] Garik Gutman,et al. Vegetation indices from AVHRR: An update and future prospects , 1991 .
[46] P. Boussès. Biologie de population d'un vértébré phytophage introduit, le lapin (Oryctolagus cuniculus) dans les îles subantarctiques de Kerguelen , 1991 .
[47] D. Lloyd,et al. A phenological classification of terrestrial vegetation cover using shortwave vegetation index imagery , 1990 .
[48] S. McNaughton,et al. Aboveground biomass estimation with the canopy intercept method: a plant growth form caveat , 1990 .
[49] S. Jonasson. Evaluation of the point intercept method for the estimation of plant biomass , 1988 .
[50] M. Braga,et al. Exploratory Data Analysis , 2018, Encyclopedia of Social Network Analysis and Mining. 2nd Ed..
[51] Christopher O. Justice,et al. Monitoring the grasslands of the Sahel 1984-1985 , 1986 .
[52] B. Holben. Characteristics of maximum-value composite images from temporal AVHRR data , 1986 .
[53] Compton J. Tucker,et al. Satellite remote sensing of total herbaceous biomass production in the Senegalese Sahel - 1980-1984 , 1985 .
[54] B. C. Forster,et al. Derivation of atmospheric correction procedures for LANDSAT MSS with particular reference to urban data , 1984 .
[55] G. Asrar,et al. Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat1 , 1984 .
[56] F. Forgeard,et al. Impact du lapin de garenne, Oryctolagus cuniculus (L.) sur la végétation des pelouses incendiées de Paimpont (Ille-et-Vilaine) , 1984 .
[57] C. Tucker,et al. Satellite remote sensing of total dry matter production in the Senegalese Sahel , 1983 .
[58] Richard H. Waring,et al. Estimating Forest Growth and Efficiency in Relation to Canopy Leaf Area , 1983 .
[59] C. Tucker,et al. Remote Sensing of Total Dry-Matter Accumulation in Winter Wheat , 1981 .
[60] C. Tucker. Red and photographic infrared linear combinations for monitoring vegetation , 1979 .
[61] Maurice G. Kendall,et al. The Advanced Theory of Statistics, Vol. 3: Design and Analysis, and Time- Series. 3rd Edn. , 1976 .
[62] M. M. Schreiber,et al. Reflectance and internal structure of leaves from several crops during a growing season. , 1971 .
[63] C. D. Kemp,et al. The Advanced Theory of Statistics, Vol. 3. Design and Analysis and Time- Series. , 1984 .
[64] M. Kendall,et al. Design and analysis, and time-series , 1966 .
[65] Edmond Malinvaud,et al. Méthodes statistiques de l'économétrie , 1964 .
[66] C. I. Bliss,et al. FITTING THE NEGATIVE BINOMIAL DISTRIBUTION TO BIOLOGICAL DATA AND NOTE ON THE EFFICIENT FITTING OF THE NEGATIVE BINOMIAL , 1953 .
[67] M. G. Kendall,et al. The advanced theory of statistics. Vols. 2. , 1969 .