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Detection Of Soil Properties With Airborne Hyperspectral Measurements Of Bare Fields, William R. Detar, J. H. Chesson, J. V. Penner, J. C. Ojala
Detection Of Soil Properties With Airborne Hyperspectral Measurements Of Bare Fields, William R. Detar, J. H. Chesson, J. V. Penner, J. C. Ojala
William R DeTar
ABSTRACT. Remote sensing with aircraft‐based sensors can provide the fine resolution required for site‐specific farming. The within‐field spatial distribution of some soil properties was found by using multiple linear regression to select the best combinations of wave bands, taken from among a full set of 60 narrow bands in the wavelength range of 429 to 1010 nm. The resulting regression equations made it possible to calculate the value of the soil property at every pixel, with a spatial resolution of 1.2 m. Both surface and subsurface samples of soil were taken from the center of each of 321 equal‐sized grids …
Airborne Remote Sensing Used To Estimate Percent Canopy Cover, And To Extract Canopy Temperature From Scene Temperature In Cotton, William R. Detar, J. V. Penner
Airborne Remote Sensing Used To Estimate Percent Canopy Cover, And To Extract Canopy Temperature From Scene Temperature In Cotton, William R. Detar, J. V. Penner
William R DeTar
The goal of this research was to separate the soil and plant temperatures and create an image map of plant water stress. Data from hyperspectral imagery (HSI) and thermal infrared (TIR) sensors were collected using an airborne platform over three seasons, involving three different varieties of Acala cotton, four different fields, and a total of ten flights. The first step was to measure the percent canopy cover, which ranged from 30% to 100%. Using linear multiple regression, percent canopy cover, measured manually in the field, was found to be closely related to several new vegetation indices, taken from among 60 …