Research in the application of spectral data to crop identification and assessment. Volume 2.

C. S T Daughtry; M. M. Hixson; M. E. Bauer

Research in the application of spectral data to crop identification and assessment. Volume 2.

C. S T Daughtry, M. M. Hixson, M. E. Bauer

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Abstract

The development of spectrometry crop development stage models is discussed with emphasis on models for corn and soybeans. One photothermal and four thermal meteorological models are evaluated. Spectral data were investigated as a source of information for crop yield models. Intercepted solar radiation and soil productivity are identified as factors related to yield which can be estimated from spectral data. Several techniques for machine classification of remotely sensed data for crop inventory were evaluated. -from NASA Abstract E81-10152

Original language	English (US)
Title of host publication	Unknown Host Publication Title
Publisher	Purdue University, Lafayette, Indiana, Laboratory for Applications of Remote Sensing, LARS-FR-122780-Vol-2
State	Published - 1980

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abstract = "The development of spectrometry crop development stage models is discussed with emphasis on models for corn and soybeans. One photothermal and four thermal meteorological models are evaluated. Spectral data were investigated as a source of information for crop yield models. Intercepted solar radiation and soil productivity are identified as factors related to yield which can be estimated from spectral data. Several techniques for machine classification of remotely sensed data for crop inventory were evaluated. -from NASA Abstract E81-10152",

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AU - Daughtry, C. S T

AU - Hixson, M. M.

AU - Bauer, M. E.

PY - 1980

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N2 - The development of spectrometry crop development stage models is discussed with emphasis on models for corn and soybeans. One photothermal and four thermal meteorological models are evaluated. Spectral data were investigated as a source of information for crop yield models. Intercepted solar radiation and soil productivity are identified as factors related to yield which can be estimated from spectral data. Several techniques for machine classification of remotely sensed data for crop inventory were evaluated. -from NASA Abstract E81-10152

AB - The development of spectrometry crop development stage models is discussed with emphasis on models for corn and soybeans. One photothermal and four thermal meteorological models are evaluated. Spectral data were investigated as a source of information for crop yield models. Intercepted solar radiation and soil productivity are identified as factors related to yield which can be estimated from spectral data. Several techniques for machine classification of remotely sensed data for crop inventory were evaluated. -from NASA Abstract E81-10152

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M3 - Chapter

BT - Unknown Host Publication Title

PB - Purdue University, Lafayette, Indiana, Laboratory for Applications of Remote Sensing, LARS-FR-122780-Vol-2

ER -

Research in the application of spectral data to crop identification and assessment. Volume 2.

Abstract

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