The CALVEG classification system for identification of vegetation is described. This hierarchical system responds to classification requirements and to interpretation of vegetation at various description levels, from site description to broad identification levels. The system's major strength is its flexibility in application of remote sensing technology to assess, describe and communicate data relative to vegetative resources on a state-wide basis. It is concluded that multilevel remote sensing is a cost effective tool for assessment of the natural resource base. The CLAVEG system is found to be an economically efficient tool for both existing and potential vegetation
Generating a satisfactory classification image from remote sensing data is not a straightforward tas...
This study demonstrates a vegetation mapping methodology that relates the reflectance information co...
A simple new classification logic for global vegetation is proposed. The critical features of this c...
Analysis and recognition processing of multispectral scanner imagery for plant community classificat...
Research has centered around: (1) completion of a study on the use of remote sensing techniques as a...
A hierarchial classification of vegetation and related resources is considered that is applicable to...
Identification and quantification of herbland and shrubland vegetation resources from aerial and spa...
Analysis of vegetation and related earth resources from remote sensing applications of space photogr...
This article proposes a simple new logic for classifying global vegetation. The critical features of...
Detailed maps of vegetation facilitate spatial conservation planning. Such information can be diffic...
An underlying premise of any segmentation method is that spectral similarity and thematic similarity...
Generating a satisfactory classification image from remote sensing data is not a straightforward tas...
Vita.Landsat multispectral scanner imagery and digital data were evaluated for use in classifying an...
The National Institute of Standards and Technology data science evaluation plant identification chal...
Various data handling and analysis techniques are summarized for evaluation of ERTS-A and supporting...
Generating a satisfactory classification image from remote sensing data is not a straightforward tas...
This study demonstrates a vegetation mapping methodology that relates the reflectance information co...
A simple new classification logic for global vegetation is proposed. The critical features of this c...
Analysis and recognition processing of multispectral scanner imagery for plant community classificat...
Research has centered around: (1) completion of a study on the use of remote sensing techniques as a...
A hierarchial classification of vegetation and related resources is considered that is applicable to...
Identification and quantification of herbland and shrubland vegetation resources from aerial and spa...
Analysis of vegetation and related earth resources from remote sensing applications of space photogr...
This article proposes a simple new logic for classifying global vegetation. The critical features of...
Detailed maps of vegetation facilitate spatial conservation planning. Such information can be diffic...
An underlying premise of any segmentation method is that spectral similarity and thematic similarity...
Generating a satisfactory classification image from remote sensing data is not a straightforward tas...
Vita.Landsat multispectral scanner imagery and digital data were evaluated for use in classifying an...
The National Institute of Standards and Technology data science evaluation plant identification chal...
Various data handling and analysis techniques are summarized for evaluation of ERTS-A and supporting...
Generating a satisfactory classification image from remote sensing data is not a straightforward tas...
This study demonstrates a vegetation mapping methodology that relates the reflectance information co...
A simple new classification logic for global vegetation is proposed. The critical features of this c...