Estimation of the seasonal leaf area index in an alluvial forest using high-resolution satellite-based vegetation indices

[1]  D. J. Watson,et al.  Comparative Physiological Studies on the Growth of Field Crops: II. The Effect of Varying Nutrient Supply on Net Assimilation Rate and Leaf Area , 1947 .

[2]  D. Watson,et al.  Comparative physiological studies on the growth of field crops. III. The effect of infection with beet yellows and beet mosaic viruses on the growth and yield of the sugar-beet root crop , 1953 .

[3]  J. A. Schell,et al.  Monitoring vegetation systems in the great plains with ERTS , 1973 .

[4]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[5]  C. Tucker.  Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[6]  D. Horler,et al.  The red edge of plant leaf reflectance , 1983 .

[7]  J. Dungan,et al.  Exploring the relationship between reflectance red edge and chlorophyll content in slash pine. , 1990, Tree physiology.

[8]  M. Huston,et al.  A comparison of direct and indirect methods for estimating forest canopy leaf area , 1991 .

[9]  J. Chen,et al.  Measuring leaf area index of plant canopies with branch architecture , 1991 .

[10]  S. T. Gower,et al.  A comparison of optical and direct methods for estimating foliage surface area index in forests , 1994 .

[11]  J. Peñuelas,et al.  The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. , 1994 .

[12]  A. Gitelson,et al.  Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimation , 1994 .

[13]  Ranga B. Myneni,et al.  The interpretation of spectral vegetation indexes , 1995, IEEE Transactions on Geoscience and Remote Sensing.

[14]  R. Myneni,et al.  The interpretation of spectral vegetation indexes , 1995 .

[15]  P. Curran,et al.  Technical Note Grass chlorophyll and the reflectance red edge , 1996 .

[16]  J. Chen.  Evaluation of Vegetation Indices and a Modified Simple Ratio for Boreal Applications , 1996 .

[17]  Ludger Kappen,et al.  Leaf area index determination in an alder forest: a comparison of three methods , 1996 .

[18]  J. Chen,et al.  Retrieving Leaf Area Index of Boreal Conifer Forests Using Landsat TM Images , 1996 .

[19]  Rudolf Richter,et al.  Atmospheric correction of satellite data with haze removal including a haze/clear transition region , 1996 .

[20]  C. Tucker,et al.  Increased plant growth in the northern high latitudes from 1981 to 1991 , 1997, Nature.

[21]  S. Running,et al.  A continental phenology model for monitoring vegetation responses to interannual climatic variability , 1997 .

[22]  T. M. Lillesand,et al.  Estimating the leaf area index of North Central Wisconsin forests using the landsat thematic mapper , 1997 .

[23]  A. Cutini,et al.  Estimation of leaf area index with the Li-Cor LAI 2000 in deciduous forests , 1998 .

[24]  Karin S. Fassnacht,et al.  Relationships between leaf area index and Landsat TM spectral vegetation indices across three temperate zone sites , 1999 .

[25]  Bisun Datt,et al.  A New Reflectance Index for Remote Sensing of Chlorophyll Content in Higher Plants: Tests using Eucalyptus Leaves , 1999 .

[26]  D. Sims,et al.  Relationships between leaf pigment content and spectral reflectance across a wide range of species, leaf structures and developmental stages , 2002 .

[27]  S. Leblanc,et al.  Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements , 2002 .

[28]  Naoto Matsumura,et al.  Seasonal patterns of canopy structure, biochemistry and spectral reflectance in a broad-leaved deciduous Fagus crenata canopy , 2002 .

[29]  N. Breda.  Ground-based measurements of leaf area index: a review of methods, instruments and current controversies. , 2003, Journal of experimental botany.

[30]  J. Schjoerring,et al.  Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression , 2003 .

[31]  J. Hicke,et al.  Global synthesis of leaf area index observations: implications for ecological and remote sensing studies , 2003 .

[32]  W. Cohen,et al.  An improved strategy for regression of biophysical variables and Landsat ETM+ data. , 2003 .

[33]  A. Strahler,et al.  Monitoring vegetation phenology using MODIS , 2003 .

[34]  R. Colombo,et al.  Retrieval of leaf area index in different vegetation types using high resolution satellite data , 2003 .

[35]  Pierre Defourny,et al.  Seasonal variation of tropical forest LAI based on field measurements in Central African Republic , 2003 .

[36]  Frédéric Baret,et al.  Review of methods for in situ leaf area index determination Part I. Theories, sensors and hemispherical photography , 2004 .

[37]  F. Baret,et al.  Review of methods for in situ leaf area index (LAI) determination: Part II. Estimation of LAI, errors and sampling , 2004 .

[38]  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 .

[39]  A. Skidmore,et al.  Narrow band vegetation indices overcome the saturation problem in biomass estimation , 2004 .

[40]  E. Dufrene,et al.  Estimation of deciduous forest leaf area index using direct and indirect methods , 1995, Oecologia.

[41]  Die Schwarzerle (Alnus glutinosa) : Dendrologische Anmerkungen , 2004 .

[42]  N. Q. Dinh,et al.  Evaluation of seasonal variation of MODIS derived leaf area index at two European deciduous broadleaf forest sites , 2005 .

[43]  Lee A. Vierling,et al.  Monitoring boreal forest leaf area index across a Siberian burn chronosequence: a MODIS validation study , 2005 .

[44]  J. Tenhunen,et al.  On the relationship of NDVI with leaf area index in a deciduous forest site , 2005 .

[45]  Lars Eklundh,et al.  Estimating LAI in deciduous forest stands , 2005 .

[46]  B Muys,et al.  Allometry and evaluation of in situ optical LAI determination in Scots pine: a case study in Belgium. , 2005, Tree physiology.

[47]  Jennifer L. Dungan,et al.  Comparison of regression and geostatistical methods for mapping Leaf Area Index (LAI) with Landsat ETM+ data over a boreal forest. , 2005 .

[48]  Ranga B. Myneni,et al.  Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS , 2006 .

[49]  D. Roy,et al.  Large seasonal swings in leaf area of Amazon rainforests , 2007, Proceedings of the National Academy of Sciences.

[50]  M. Bauer,et al.  Assessing broadband vegetation indices and QuickBird data in estimating leaf area index of corn and potato canopies , 2007 .

[51]  J. Eitel,et al.  Using in‐situ measurements to evaluate the new RapidEye™ satellite series for prediction of wheat nitrogen status , 2007 .

[52]  Hideki Kobayashi,et al.  Reflectance seasonality and its relation to the canopy leaf area index in an eastern Siberian larch forest : Multi-satellite data and radiative transfer analyses , 2007 .

[53]  Bradley C. Reed,et al.  Remote Sensing Phenology , 2009 .

[54]  Rainer Sandau,et al.  Status and trends of small satellite missions for Earth observation , 2010 .

[55]  Liang Liang,et al.  Validating satellite phenology through intensive ground observation and landscape scaling in a mixed seasonal forest , 2011 .

[56]  S. Brantley,et al.  Application of hyperspectral vegetation indices to detect variations in high leaf area index temperate shrub thicket canopies , 2011 .

[57]  Alan A. Ager,et al.  Broadband, red-edge information from satellites improves early stress detection in a New Mexico conifer woodland , 2011 .

[58]  Conghe Song,et al.  Downscaling real-time vegetation dynamics by fusing multi-temporal MODIS and Landsat NDVI in topographically complex terrain , 2011 .

[59]  Yann Nouvellon,et al.  MODIS NDVI time-series allow the monitoring of Eucalyptus plantation biomass , 2011 .

[60]  Christopher Conrad,et al.  Potenziale des 'Red Edge' Kanals von RapidEye zur Unterscheidung und zum Monitoring landwirtschaftlicher Anbaufrüchte am Beispiel des usbekischen Bewässerungssystems Khorezm , 2012 .

[61]  B. Kleinschmit,et al.  Testing the red edge channel for improving land-use classifications based on high-resolution multi-spectral satellite data , 2012 .

[62]  Miina Rautiainen,et al.  Seasonal variation in MODIS LAI for a boreal forest area in Finland , 2012 .

[63]  Christopher Potter,et al.  Analysis of sapling density regeneration in Yellowstone National Park with hyperspectral remote sensing data , 2012 .

[64]  Kenlo Nishida Nasahara,et al.  Two separate periods of the LAI–VIs relationships using in situ measurements in a deciduous broadleaf forest , 2013 .