he main goal of the study was to determine optimal waveband centers and widths required to best estimate agricultural crop characteristics. The hyperspectral narrowband data was ac-quired over 395 to 1020 nanometers using a 1.43-nanometer-wide, 430 bands, hand-held spectroradiometer. Broadband data were derived using a Landsat-5 Thematic Mapper image acquired to correspond with field spectroradiometer and ground-truth measurements. Spectral and biophysical data were obtained from 196 sample locations, including farms and rangelands. Six representative crops grown during the main cropping season were selected: barley, wheat, lentil, cumin, chickpea, and vetch. Biophysical variables consisted of leaf area index, wet biomass, dry biomass, plan...
Precise monitoring of agricultural crop biomass and yield quantities is critical for crop production...
This book shows recent and innovative applications of the use of hyperspectral technology for optima...
Hyperspectral remote sensing imagery was collected over a soybean field in central Illinois in mid-J...
Recently high spectral resolution sensors have been developed, which allow new and more advanced app...
The main goal of this paper was to establish the best hyperspectral narrowbands for discriminating a...
ABSTRACT: Hyperspectral crop reflectance data are useful for several remote sensing applications in ...
Hyperspectral crop reflectance data are useful for several remote sensing applications in agricultur...
This thesis / dissertation was completed and submitted at Nipissing University, and is made freely a...
This thesis / dissertation was completed and submitted at Nipissing University, and is made freely a...
As the global population increases, we face increasing demand for food and nutrition. Remote sensing...
The overarching goal of this study was to establish optimal hyperspectral vegetation indices (HVIs) ...
Copyright © 2013 Sayed M. Arafat et al. This is an open access article distributed under the Creativ...
Remote sensing of grass quantity is important for providing information about the productivity and f...
Timely and nondestructive monitoring of leaf area index (LAI) using remote sensing techniques is cru...
Hyperspectral crop reflectance data are useful for several remote sensing applications in agricultur...
Precise monitoring of agricultural crop biomass and yield quantities is critical for crop production...
This book shows recent and innovative applications of the use of hyperspectral technology for optima...
Hyperspectral remote sensing imagery was collected over a soybean field in central Illinois in mid-J...
Recently high spectral resolution sensors have been developed, which allow new and more advanced app...
The main goal of this paper was to establish the best hyperspectral narrowbands for discriminating a...
ABSTRACT: Hyperspectral crop reflectance data are useful for several remote sensing applications in ...
Hyperspectral crop reflectance data are useful for several remote sensing applications in agricultur...
This thesis / dissertation was completed and submitted at Nipissing University, and is made freely a...
This thesis / dissertation was completed and submitted at Nipissing University, and is made freely a...
As the global population increases, we face increasing demand for food and nutrition. Remote sensing...
The overarching goal of this study was to establish optimal hyperspectral vegetation indices (HVIs) ...
Copyright © 2013 Sayed M. Arafat et al. This is an open access article distributed under the Creativ...
Remote sensing of grass quantity is important for providing information about the productivity and f...
Timely and nondestructive monitoring of leaf area index (LAI) using remote sensing techniques is cru...
Hyperspectral crop reflectance data are useful for several remote sensing applications in agricultur...
Precise monitoring of agricultural crop biomass and yield quantities is critical for crop production...
This book shows recent and innovative applications of the use of hyperspectral technology for optima...
Hyperspectral remote sensing imagery was collected over a soybean field in central Illinois in mid-J...