Plant growth monitoring and potential drought risk assessment by means of Earth observation data
暂无分享,去创建一个
Werner Schneider | Philipp Weihs | K. Richter | Josef Eitzinger | P. Rischbeck | F. Suppan | J. Eitzinger | K. Richter | P. Weihs | W. Schneider | F. Suppan | P. Rischbeck | Philipp Weihs | Werner Schneider | Josef Eitzinger
[1] Stefan Sommer,et al. Multivariate Analysis of Laboratory Spectra for the Assessment of Soil Development and Soil Degradation in the Southern Apennines (Italy) , 2000 .
[2] W. Verhoef. Light scattering by leaf layers with application to canopy reflectance modelling: The SAIL model , 1984 .
[3] R. Henry,et al. Simultaneous Determination of Moisture, Organic Carbon, and Total Nitrogen by Near Infrared Reflectance Spectrophotometry , 1986 .
[4] J. Monteith,et al. The Radiation Regime and Architecture of Plant Stands. , 1983 .
[5] Joost C. B. Hoedjes,et al. SMOSREX: A long term field campaign experiment for soil moisture and land surface processes remote sensing , 2006 .
[6] Carol J. Bruegge,et al. Airborne Imaging Spectrometer-2: Radiometric Spectral Characteristics And Comparison Of Ways To Compensate For The Atmosphere , 1987, Optics & Photonics.
[7] D. Neema,et al. A statistical optical model for light reflection and penetration through sand , 1987 .
[8] F. Baret,et al. PROSPECT: A model of leaf optical properties spectra , 1990 .
[9] C. Bacour,et al. Comparison of four radiative transfer models to simulate plant canopies reflectance: direct and inverse mode. , 2000 .
[10] Yann Kerr,et al. Modeling approaches to assimilating L band passive microwave observations over land surfaces , 2002 .
[11] Alfredo Huete,et al. Soil and Sun angle interactions on partial canopy spectra , 1987 .
[12] P. Thenkabail,et al. Hyperspectral Vegetation Indices and Their Relationships with Agricultural Crop Characteristics , 2000 .
[13] J. De Baerdemaeker,et al. Management zones based on correlation between soil compaction, yield and crop data , 2005 .
[14] C. Atzberger. Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models , 2004 .
[15] Frédéric Baret,et al. Estimation of leaf water content and specific leaf weight from reflectance and transmittance measurements , 1997 .
[16] 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 .
[17] Paul J. Curran,et al. Simple size for ground and remotely sensed data , 1986 .
[18] L. Dini,et al. ASSESSMENT OF LAI RETRIEVAL ACCURACY BY INVERTING A RT MODEL AND A SIMPLE EMPIRICAL MODEL WITH MULTIANGULAR AND HYPERSPECTRAL CHRIS / PROBA DATA FROM SPARC , 2005 .
[19] A. Leilah,et al. Statistical analysis of wheat yield under drought conditions , 2005 .
[20] Yuri Knyazikhin,et al. Retrieval of canopy biophysical variables from bidirectional reflectance Using prior information to solve the ill-posed inverse problem , 2003 .
[21] 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 .
[22] F. Baret,et al. Relating soil surface moisture to reflectance , 2002 .
[23] Muhammad Yasin Ashraf,et al. Effect of water stress on total phenols, peroxidase activity and chlorophyll content in wheat [Triticum aestivum L.] , 1994 .
[24] W. Verhoef,et al. Simulation of hyperspectral and directional radiance images using coupled biophysical and atmospheric radiative transfer models , 2003 .
[25] Jean-Pierre Wigneron,et al. Estimation of Watershed Soil Moisture Index from ERS/SAR Data , 2000 .
[26] R. J. Hanks,et al. REFLECTION OF RADIANT ENERGY FROM SOILS , 1965 .
[27] D. Watson. Comparative Physiological Studies on the Growth of Field Crops: I. Variation in Net Assimilation Rate and Leaf Area between Species and Varieties, and within and between Years , 1947 .
[28] N. K. Paul,et al. Effect of Soil Moisture on Relative Leaf Water Content, Chlorophyll, Proline and Sugar Accumulation in Wheat , 1999 .
[29] M. Ashraf,et al. Drought stress induced changes in some organic substances in nodules and other plant parts of two potential legumes differing in salt tolerance , 2005 .
[30] R. Casa,et al. LAI retrieval from multiangular image classification and inversion of a ray tracing model , 2005 .
[31] R. Myneni,et al. Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data , 2000 .
[32] E. Milton,et al. The use of the empirical line method to calibrate remotely sensed data to reflectance , 1999 .
[33] J. Privette,et al. Inversion methods for physically‐based models , 2000 .
[34] Clement Atzberger,et al. Retrieval of wheat bio - physical attributes from hyperspectral data and SAILH + PROSPECT radiative transfer model , 2003 .
[35] F. Baret,et al. Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .
[36] J. Ross. The radiation regime and architecture of plant stands , 1981, Tasks for vegetation sciences 3.
[37] J. C. Taylor,et al. Soil Factors and their Influence on Within-field Crop Variability, Part II: Spatial Analysis and Determination of Management Zones , 2003 .
[38] M. Weiss,et al. Reliability of the estimation of vegetation characteristics by inversion of three canopy reflectance models on airborne POLDER data , 2002 .
[39] M. Weissa,et al. Review of methods for in situ leaf area index ( LAI ) determination Part II . Estimation of LAI , errors and sampling , 2003 .
[40] E. R. Stoner,et al. Physiochemical, site, and bidirectional reflectance factor characteristics of uniformly moist soils. [Brazil, Spain and the United States of America] , 1980 .
[41] M. Ashton,et al. Accuracy assessments of hyperspectral waveband performance for vegetation analysis applications , 2004 .
[42] Nadine Gobron,et al. Optical remote sensing of vegetation: Modeling, caveats, and algorithms , 1995 .