Remote sensing of grassland–shrubland vegetation water content in the shortwave domain
暂无分享,去创建一个
[1] F. M. Danson,et al. Estimating live fuel moisture content from remotely sensed reflectance , 2004 .
[2] F. M. Danson,et al. High-spectral resolution data for determining leaf water content , 1992 .
[3] B Efron,et al. Statistical Data Analysis in the Computer Age , 1991, Science.
[4] Julian D. Olden,et al. Torturing data for the sake of generality: How valid are our regression models? , 2000 .
[5] Shusen Wang,et al. Impact of climate variations on surface albedo of a temperate grassland , 2007 .
[6] A. Fernández,et al. Temporal evolution of the NDVI as an indicator of forest fire danger , 1996 .
[7] Wenjiang Huang,et al. Estimating winter wheat plant water content using red edge parameters , 2004 .
[8] J. Peñuelas,et al. The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. , 1994 .
[9] Robert Tibshirani,et al. An Introduction to the Bootstrap , 1994 .
[10] Colin L. Mallows,et al. Some Comments on Cp , 2000, Technometrics.
[11] S. Tarantola,et al. Detecting vegetation leaf water content using reflectance in the optical domain , 2001 .
[12] R. Pu,et al. Spectroscopic determination of wheat water status using 1650-1850 nm spectral absorption features , 2001 .
[13] C. Brooks,et al. The climates of North America , 1938 .
[14] Z. Wan,et al. Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index products for monitoring drought in the southern Great Plains, USA , 2004 .
[15] Shusen Wang. Dynamics of surface albedo of a boreal forest and its simulation , 2005 .
[16] Compton J. Tucker,et al. Spectral estimation of grass canopy variables , 1977 .
[17] Nadine Gobron,et al. Advanced vegetation indices optimized for up-coming sensors: Design, performance, and applications , 2000, IEEE Trans. Geosci. Remote. Sens..
[18] D. Riaño,et al. Design of an empirical index to estimate fuel moisture content from NOAA-AVHRR images in forest fire danger studies. , 2003 .
[19] Y. Inoue,et al. Reflectance Indices Indicative of Changes in Water and Pigment Contents of Peanut and Wheat Leaves , 2004, Photosynthetica.
[20] D. Roberts,et al. Deriving Water Content of Chaparral Vegetation from AVIRIS Data , 2000 .
[21] B. Rock,et al. Detection of changes in leaf water content using Near- and Middle-Infrared reflectances , 1989 .
[22] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[23] Josep Peñuelas,et al. Cell wall elasticity and Water Index (R970 nm/R900 nm) in wheat under different nitrogen availabilities , 1996 .
[24] R. D. Jackson,et al. Spectral response of cotton to suddenly induced water stress , 1985 .
[25] J. Shao,et al. The jackknife and bootstrap , 1996 .
[26] B. Gao. NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space , 1996 .
[27] Claudia M. Castaneda,et al. Estimating Canopy Water Content of Chaparral Shrubs Using Optical Methods , 1998 .
[28] F. Hare,et al. Climates of North America , 1974 .
[29] Ramon C. Littell,et al. SAS® System for Regression , 2001 .
[30] S. Tarantola,et al. Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1 - Theoretical approach , 2002 .
[31] B. Rock,et al. Measurement of leaf relative water content by infrared reflectance , 1987 .
[32] W. Larcher. Physiological Plant Ecology: Ecophysiology and Stress Physiology of Functional Groups , 1995 .
[33] C. Tucker. Remote sensing of leaf water content in the near infrared , 1980 .
[34] D. Riaño,et al. Estimation of fuel moisture content from multitemporal analysis of Landsat Thematic Mapper reflectance data: Applications in fire danger assessment , 2002 .
[35] T. Faurtyot. Vegetation water and dry matter contents estimated from top-of-the-atmosphere reflectance data: A simulation study , 1997 .
[36] Cyril Goutte,et al. Note on Free Lunches and Cross-Validation , 1997, Neural Computation.
[37] J. Peñuelas,et al. Estimation of plant water concentration by the reflectance Water Index WI (R900/R970) , 1997 .
[38] William D. Bowman,et al. The relationship between leaf water status, gas exchange, and spectral reflectance in cotton leaves , 1989 .
[39] G. Carter. PRIMARY AND SECONDARY EFFECTS OF WATER CONTENT ON THE SPECTRAL REFLECTANCE OF LEAVES , 1991 .
[40] Bisun Datt,et al. Remote Sensing of Water Content in Eucalyptus Leaves , 1999 .
[41] David H. Wolpert,et al. On Bias Plus Variance , 1997, Neural Computation.
[42] Mahta Moghaddam,et al. Monitoring tree moisture using an estimation algorithm applied to SAR data from BOREAS , 1999, IEEE Trans. Geosci. Remote. Sens..
[43] D. Roberts,et al. Using Imaging Spectroscopy to Study Ecosystem Processes and Properties , 2004 .
[44] J. A. Schell,et al. Monitoring vegetation systems in the great plains with ERTS , 1973 .
[45] H. Gausman,et al. Reflectance of leaf components , 1977 .
[46] William N. Venables,et al. Modern Applied Statistics with S-Plus. , 1996 .
[47] M. S. Moran,et al. Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index , 1994 .
[48] E. J. Milton,et al. Processing of High Spectral Resolution Reflectance Data for the Retrieval of Canopy Water Content Information , 1998 .
[49] Warren B. Cohen,et al. Temporal versus spatial variation in leaf reflectance under changing water stress conditions , 1991 .
[50] C. L. Mallows. Some comments on C_p , 1973 .
[51] M. Tamura,et al. Estimation of leaf water status to monitor the risk of forest fires by using remotely sensed data , 2004 .
[52] J. Peñuelas,et al. Ground-based spectroradiometric estimation of live fine fuel moisture of Mediterranean plants , 1998 .
[53] Arlen W. Harbaugh,et al. Techniques of water-resources investigations of the U , 1988 .
[54] J. Barber,et al. Monitoring grassland dryness and fire potential in australia with NOAA/AVHRR data , 1988 .
[55] Christina Gloeckner,et al. Modern Applied Statistics With S , 2003 .
[56] C. Jordan. Derivation of leaf-area index from quality of light on the forest floor , 1969 .
[57] S. Tarantola,et al. Designing a spectral index to estimate vegetation water content from remote sensing data: Part 2. Validation and applications , 2002 .