Evaluation of hyperspectral indices for retrieval of canopy equivalent water thickness and gravimetric water content
暂无分享,去创建一个
Bing Zhang | Liangyun Liu | Bing Zhang | Liangyun Liu | Su Zhang | Su Zhang
[1] Pablo J. Zarco-Tejada,et al. Estimation of fuel moisture content by inversion of radiative transfer models to simulate equivalent water thickness and dry matter content: analysis at leaf and canopy level , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[2] G. Carter. PRIMARY AND SECONDARY EFFECTS OF WATER CONTENT ON THE SPECTRAL REFLECTANCE OF LEAVES , 1991 .
[3] Pablo J. Zarco-Tejada,et al. Chlorophyll Fluorescence Effects on Vegetation Apparent Reflectance: I. Leaf-Level Measurements and Model Simulation , 2000 .
[4] E. Middleton,et al. Contribution of chlorophyll fluorescence to the apparent vegetation reflectance. , 2008, The Science of the total environment.
[5] Wenjiang Huang,et al. Detection of leaf and canopy EWT by calculating REWT from reflectance spectra , 2010 .
[6] C. Tucker. Remote sensing of leaf water content in the near infrared , 1980 .
[7] J. Peñuelas,et al. Estimation of plant water concentration by the reflectance Water Index WI (R900/R970) , 1997 .
[8] Dudley A. Williams,et al. Optical properties of water in the near infrared. , 1974 .
[9] Robert O. Green,et al. Temporal and spatial patterns in vegetation and atmospheric properties from AVIRIS , 1997 .
[10] S. Ustin,et al. Water content estimation in vegetation with MODIS reflectance data and model inversion methods , 2003 .
[11] D. Riaño,et al. Combining NDVI and surface temperature for the estimation of live fuel moisture content in forest fire danger rating , 2004 .
[12] Bisun Datt,et al. Remote Sensing of Water Content in Eucalyptus Leaves , 1999 .
[13] D. Riaño,et al. Design of an empirical index to estimate fuel moisture content from NOAA-AVHRR images in forest fire danger studies. , 2003 .
[14] F. M. Danson,et al. A global review of remote sensing of live fuel moisture content for fire danger assessment: Moving t , 2013 .
[15] Shusen Wang,et al. Remote sensing of grassland–shrubland vegetation water content in the shortwave domain , 2006 .
[16] John R. Miller,et al. Imaging chlorophyll fluorescence with an airborne narrow-band multispectral camera for vegetation stress detection , 2009 .
[17] M. Tamura,et al. Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data , 2004 .
[18] B. Gao. NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .
[19] Claudia M. Castaneda,et al. Estimating Canopy Water Content of Chaparral Shrubs Using Optical Methods , 1998 .
[20] F. M. Danson,et al. Sensitivity of spectral reflectance to variation in live fuel moisture content at leaf and canopy level , 2004 .
[21] John R. Miller,et al. Vegetation stress detection through chlorophyll a + b estimation and fluorescence effects on hyperspectral imagery. , 2002, Journal of environmental quality.
[22] R. Fensholt,et al. Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment , 2003 .
[23] C. Giardino,et al. Estimation of leaf and canopy water content in poplar plantations by means of hyperspectral indices and inverse modeling , 2008 .
[24] S. Tarantola,et al. Detecting vegetation leaf water content using reflectance in the optical domain , 2001 .
[25] W. Verhoef,et al. PROSPECT+SAIL models: A review of use for vegetation characterization , 2009 .
[26] D. Sims,et al. Estimation of vegetation water content and photosynthetic tissue area from spectral reflectance: a comparison of indices based on liquid water and chlorophyll absorption features , 2003 .
[27] Yibin Ying,et al. Near-infrared Spectroscopy in detecting Leaf Miner Damage on Tomato Leaf , 2007 .
[28] C. Jordan. Derivation of leaf-area index from quality of light on the forest floor , 1969 .
[29] Y. Qian,et al. Spectral Reflectance Response of Three Turfgrasses to Leaf Dehydration , 2011 .
[30] Thomas J. Jackson,et al. Vegetation water content during SMEX04 from ground data and Landsat 5 Thematic Mapper imagery , 2008 .
[31] S. Tarantola,et al. Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1 - Theoretical approach , 2002 .
[32] F. M. Danson,et al. Spectral reflectance of dehydrating leaves: Measurements and modelling , 1997 .
[33] B. Gao,et al. Retrieval of equivalent water thickness and information related to biochemical components of vegetation canopies from AVIRIS data , 1995 .
[34] D. M. Gates,et al. Spectral Properties of Plants , 1965 .
[35] Peter R. J. North,et al. The Propagation of Foliar Biochemical Absorption Features in Forest Canopy Reflectance , 1999 .
[36] Pablo J. Zarco-Tejada,et al. Chlorophyll fluorescence effects on vegetation apparent reflectance: II. laboratory and airborne canopy-level measurements with hyperspectral data. , 2000 .
[37] S. Ustin,et al. Estimating Vegetation Water content with Hyperspectral data for different Canopy scenarios: Relationships between AVIRIS and MODIS Indexes , 2006 .
[38] B. Rock,et al. Detection of changes in leaf water content using Near- and Middle-Infrared reflectances , 1989 .
[39] R. D. Jackson,et al. Spectral response of cotton to suddenly induced water stress , 1985 .
[40] Damiano Gianelle,et al. New spectral vegetation indices based on the near-infrared shoulder wavelengths for remote detection of grassland phytomass , 2012, International journal of remote sensing.
[41] F. M. Danson,et al. Estimating live fuel moisture content from remotely sensed reflectance , 2004 .
[42] Benoit Rivard,et al. Foliar spectral properties following leaf clipping and implications for handling techniques , 2006 .
[43] Wenjiang Huang,et al. Estimating winter wheat plant water content using red edge parameters , 2004 .
[44] J. Peñuelas,et al. The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. , 1994 .
[45] Wang Jihua,et al. Detection of Internal Leaf Structure Deterioration Using a New Spectral Ratio Index in the Near-Infrared Shoulder Region , 2014 .
[46] Gregory A. Carter,et al. The radiative-equivalent water thickness of leaves , 1993 .
[47] J. Peñuelas,et al. The reflectance at the 950–970 nm region as an indicator of plant water status , 1993 .
[48] E. Chuvieco,et al. Prediction of fire occurrence from live fuel moisture content measurements in a Mediterranean ecosystem , 2009 .