Vegetation water content estimation for corn and soybeans using spectral indices derived from MODIS near- and short-wave infrared bands

[1]  Martha C. Anderson,et al.  Upscaling ground observations of vegetation water content, canopy height, and leaf area index during SMEX02 using aircraft and Landsat imagery , 2004 .

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

[3]  Thomas J. Jackson,et al.  Crop condition and yield simulations using Landsat and MODIS , 2004 .

[4]  Xiaoxiong Xiong,et al.  MODIS correction algorithm for out-of-band response in the short-wave IR bands , 2004, SPIE Remote Sensing.

[5]  P. C. Doraiswamya,et al.  Crop condition and yield simulations using Landsat and MODIS , 2004 .

[6]  Thomas J. Jackson,et al.  Estimation of vegetation water content for corn and soybeans with a normalized difference water index (NDWI) using Landsat Thematic Mapper data , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[7]  S. Ustin,et al.  Water content estimation in vegetation with MODIS reflectance data and model inversion methods , 2003 .

[8]  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 .

[9]  N. M. Kelly,et al.  Spectral absorption features as indicators of water status in coast live oak ( Quercus agrifolia ) leaves , 2003 .

[10]  C. Justice,et al.  Atmospheric correction of MODIS data in the visible to middle infrared: first results , 2002 .

[11]  S. Tarantola,et al.  Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1 - Theoretical approach , 2002 .

[12]  S. Tarantola,et al.  Designing a spectral index to estimate vegetation water content from remote sensing data: Part 2. Validation and applications , 2002 .

[13]  J. Townshend,et al.  Impact of sensor's point spread function on land cover characterization: Assessment and deconvolution , 2002 .

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

[15]  D. Roberts,et al.  Deriving Water Content of Chaparral Vegetation from AVIRIS Data , 2000 .

[16]  B. Guenther,et al.  Satellite-Earth remote sensor scatter effects on Earth scene radiometric accuracy , 2000 .

[17]  J. Townshend,et al.  Beware of per-pixel characterization of land cover , 2000 .

[18]  E. Vermote,et al.  Operational Atmospheric Correction of Landsat TM Data , 1999 .

[19]  Claudia M. Castaneda,et al.  Estimating Canopy Water Content of Chaparral Shrubs Using Optical Methods , 1998 .

[20]  E. J. Milton,et al.  Processing of High Spectral Resolution Reflectance Data for the Retrieval of Canopy Water Content Information , 1998 .

[21]  Daoyi Chen,et al.  Satellite-sensed distribution and spatial patterns of vegetation parameters over a tallgrass prairie , 1998 .

[22]  Robert O. Green,et al.  Temporal and spatial patterns in vegetation and atmospheric properties from AVIRIS , 1997 .

[23]  T. Faurtyot Vegetation water and dry matter contents estimated from top-of-the-atmosphere reflectance data: A simulation study , 1997 .

[24]  Didier Tanré,et al.  Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..

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

[26]  Michael Jasinski,et al.  Estimation of subpixel vegetation density of natural regions using satellite multispectral imagery , 1996, IEEE Trans. Geosci. Remote. Sens..

[27]  B. Gao,et al.  Retrieval of equivalent water thickness and information related to biochemical components of vegetation canopies from AVIRIS data , 1995 .

[28]  C. Field,et al.  Relationships Between NDVI, Canopy Structure, and Photosynthesis in Three Californian Vegetation Types , 1995 .

[29]  J. Peñuelas,et al.  The reflectance at the 950–970 nm region as an indicator of plant water status , 1993 .

[30]  C. R. Bull,et al.  Wavelength selection for near-infrared reflectance moisture meters , 1991 .

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

[32]  C. Tucker Remote sensing of leaf water content in the near infrared , 1980 .