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- W1545291234 abstract "Multispectral and spatial features are evaluated for automatic delineation of forest and associated land types. The principal components algorithm was used for determining the efficacy of multispectral bands in making class separations. Four spatial algorithms were evaluated for texture measurements. A thematic map was generated using four multispectral bands as features. Clusters were also used for generating a t~ematic map. Managers of forest resources are faced with increasing demands for forest products as well as the needs of alternative uses for the land surface. Consideration must be given to the environmental problems associated with the removal of forest by harvesting, diseases or pests, and the effects of forest removal on the ever-increasing needs for pure water. ERTS-A. data have opened up many possibilities for effective management. However, new processing and analysis techniques are required to exploit these data. This paper will discuss the use of multispectral and spatial characteristics for automatic c La s s i.fi.ca t i.on , A.utomatic data processing appears mandatory for many interpretation and inventory functions. For example, automatic stratification by type and density class provides a common basis for multiple uses. The data can be formated for convenient insertion into a computerized data bank. This allows processing of repetitive coverages to increase the accuracy of the inventory data and detect changes and trends. One of the areas used for determining the feasibility of automatic classification of forested areas was the Cloquet, Minnesota area, located 25 miles west of Duluth. A.pproximately 24,000 acres of forest and associated land use types were stratified. Ground truth information was supplied by Gregg Johnson from the University of Minnesota's Institute of Agriculture Remote Sensing Laboratory (LARSL), located in the College of Forestry. Since the college's Cloquet Forestry Center, an experimental forest, is in the midst of this area, much information was previously known about the forest types. Spring 1:90,000 panchromatic aerial photographs, numerous field checks, and previous ground experience in the study area were used in generating the ground truth map. The Cloquet area was delineated into five classes: conifers, hardwoods, open, water and urban. The features used for automatic classification were derived from the four MSS bands of ERTS-A. image 1075-16312, an October 6, 1972 coverage of the Cloquet study area •. Data was extracted from the 7-track 800 BPI computer compatible tapes (CCT)." @default.
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- W1545291234 date "1973-04-16" @default.
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- W1545291234 title "Computerized interpretation of ERTS data for forest management" @default.
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