Remote sensing applications in forestry - Analysis of remote sensing data for evaluating forest and range resources Annual progress report
Analysis of remote forestry sensing research program
Engineering topics
Publications and source records attributed to Colwell, R. N..
Analysis of remote forestry sensing research program
Earth orbital remote sensing applications to forest and range resources management, discussing conventional aerial photography
The types of photography obtained on the Apollo 9 mission and on concurrent flights made by supporting aircraft are described. The need for earth resource surveys and the value of aircraft and spacecraft as the platforms from which to make such surveys are considered along with the rational for using multiband photography and the means by which such photography can be enhanced. Aerial and space photographs are presented and analyzed. The feasibility of conducting earth resource surveys by means of space photography is discussed and results are summarized.
Comparing user requirements with remote sensing capabilities for inventory of vegetation resources
Remote sensing of natural resources by panoramic and multiband cameras, optical-mechanical scanner, airborne radar and gamma ray spectrometer
Photographic applications of NASA Earth Resources Survey Program
Advantages, limitations, and optimization of multiband reconnaissance techniques for earth resource inventories
Multiband reconnaissance concepts, and color photography techniques for target identification
Multispectral imagery for aerial inventory and analysis of cultivated crop resources
High altitude multispectral imagery for identifying and mapping rangeland characteristics
Aerial photography and thermal infrared and related imagery for evaluating such agricultural resources as livestock, soils, and water
High altitude multispectral imagery of wildland area studied to determine accuracy of mapping wildland resources
Multispectral photography for AES missions, describing lunar color studies
Multispectral photographic experiment based on statistical analysis of spectrometric data - spectral reflectance for terrain, optimum film- filter combinations, and terrain tone signatures