Estimating salinity stress in sugarcane fields with spaceborne hyperspectral vegetation indices

[1]  Kelin Wang,et al.  Detecting Suaeda salsa L. chlorophyll fluorescence response to salinity stress by using hyperspectral reflectance , 2012, Acta Physiologiae Plantarum.

[2]  Conghe Song,et al.  Hyperspectral remote sensing of salinity stress on red (Rhizophora mangle) and white (Laguncularia racemosa) mangroves on Galapagos Islands , 2011 .

[3]  Bin Zhao,et al.  Using hyperspectral vegetation indices as a proxy to monitor soil salinity , 2010 .

[4]  Julie C. Naumann,et al.  Spatial variations in salinity stress across a coastal landscape using vegetation indices derived from hyperspectral imagery , 2009, Plant Ecology.

[5]  Chaoyang Wu,et al.  Estimating chlorophyll content from hyperspectral vegetation indices : Modeling and validation , 2008 .

[6]  F. Meer,et al.  Spectral characteristics of salt-affected soils: A laboratory experiment , 2008 .

[7]  Julie C. Naumann,et al.  Leaf chlorophyll fluorescence, reflectance, and physiological response to freshwater and saltwater flooding in the evergreen shrub, Myrica cerifera , 2008 .

[8]  Muneer Ahmed,et al.  Hyperspectral reflectance response of freshwater macrophytes to salinity in a brackish subtropical marsh. , 2007, Journal of environmental quality.

[9]  Massimo Menenti,et al.  A field experiment on spectrometry of crop response to soil salinity , 2007 .

[10]  C. Grieve,et al.  Estimating yields of salt- and water-stressed forages with remote sensing in the visible and near infrared. , 2006, Journal of environmental quality.

[11]  J. Farifteh,et al.  Assessing salt-affected soils using remote sensing, solute modelling, and geophysics , 2006 .

[12]  Martha C. Anderson,et al.  Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans , 2004 .

[13]  John R. Miller,et al.  Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture , 2004 .

[14]  Armando Apan,et al.  Detecting sugarcane ‘orange rust’ disease using EO-1 Hyperion hyperspectral imagery , 2004 .

[15]  Tim R. McVicar,et al.  Preprocessing EO-1 Hyperion hyperspectral data to support the application of agricultural indexes , 2003, IEEE Trans. Geosci. Remote. Sens..

[16]  Hao Chen,et al.  Processing Hyperion and ALI for forest classification , 2003, IEEE Trans. Geosci. Remote. Sens..

[17]  Graciela Metternicht,et al.  Remote sensing of soil salinity: potentials and constraints , 2003 .

[18]  G. Taylor,et al.  Image-derived spectral endmembers as indicators of salinisation , 2003 .

[19]  Susan L. Ustin,et al.  Evaluation of the potential of Hyperion data to estimate wildfire hazard in the Santa Ynez front range, Santa Barbara, California , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[20]  Tian Han,et al.  Detection and correction of abnormal pixels in Hyperion images , 2002, IEEE International Geoscience and Remote Sensing Symposium.

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

[22]  John R. Miller,et al.  Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture , 2002 .

[23]  G. Taylor,et al.  Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization , 2002 .

[24]  A. Gitelson,et al.  Assessing Carotenoid Content in Plant Leaves with Reflectance Spectroscopy¶ , 2002, Photochemistry and photobiology.

[25]  A. K. Skidmore,et al.  Derivation of the red edge index using the MERIS standard band setting , 2002 .

[26]  D. Wang,et al.  Interpretation of salinity and irrigation effects on soybean canopy reflectance in visible and near-infrared spectrum domain , 2002 .

[27]  S. Tarantola,et al.  Detecting vegetation leaf water content using reflectance in the optical domain , 2001 .

[28]  A. Gitelson,et al.  Optical Properties and Nondestructive Estimation of Anthocyanin Content in Plant Leaves¶ , 2001, Photochemistry and photobiology.

[29]  Parviz Rezvani Moghaddam,et al.  History of research on salt-affected lands of Iran: present status and future prospects : Halophytic Ecosystems : , 2000 .

[30]  Moon S. Kim,et al.  Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance , 2000 .

[31]  J. Peñuelas,et al.  Estimation of plant water concentration by the reflectance Water Index WI (R900/R970) , 1997 .

[32]  Susan L. Ustin,et al.  MONITORING PACIFIC COAST SALT MARSHES USING REMOTE SENSING , 1997 .

[33]  B. Gao NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .

[34]  G. Rondeaux,et al.  Optimization of soil-adjusted vegetation indices , 1996 .

[35]  J. Peñuelas,et al.  Relationship between photosynthetic radiation-use efficiency of barley canopies and the photochemical reflectance index (PRI) , 1996 .

[36]  J. Roujean,et al.  Estimating PAR absorbed by vegetation from bidirectional reflectance measurements , 1995 .

[37]  R. Saxena,et al.  Remote sensing technique for mapping salt affected soils , 1994 .

[38]  A. Huete,et al.  A Modified Soil Adjusted Vegetation Index , 1994 .

[39]  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 .

[40]  G. F. Epema,et al.  Remote sensing of salt affected soils , 1993 .

[41]  D. M. Moss,et al.  Red edge spectral measurements from sugar maple leaves , 1993 .

[42]  C. Field,et al.  A narrow-waveband spectral index that tracks diurnal changes in photosynthetic efficiency , 1992 .

[43]  B. Rock,et al.  Detection of changes in leaf water content using Near- and Middle-Infrared reflectances , 1989 .

[44]  Abraham Blum,et al.  Plant Breeding For Stress Environments , 1988 .

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

[46]  Andrew D. Richardson,et al.  Spectral reflectance of Thalassia testudinum (Hydrocharitaceae) seagrass: low salinity effects , 2006 .

[47]  Josep Peñuelas,et al.  Visible and Near‐Infrared Reflectance Assessment of Salinity Effects on Barley , 1997 .

[48]  M. F. Baumgardner,et al.  Salinity and spectral reflectance of soils , 1991 .

[49]  P. Switzer,et al.  A transformation for ordering multispectral data in terms of image quality with implications for noise removal , 1988 .

[50]  M. Mulders,et al.  Remote sensing in soil science , 1987 .

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