Abstract
The authors outline a method for employing space photography in the classification and mapping of different types of steppe and semidesert plant cover according to their value as a fodder resource. Considerable attention is devoted to describing a computer algorithm for clustering groups of plant species and their cover densities. Cross checking of the identified clusters in the field for ground truth provided the basis for the development of a series of remote sensing interpretation keys and the compilation of maps of pasture types. A concluding section presents recommendations for the replication of such work in other settings. Translated by Jay K. Mitchell, PlanEcon, Inc., Washington, DC 20005 from: Izvestiya Akademii Nauk SSSR, seriya geograficheskaya, 1990, No. 1, pp. 101–111.
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Claims 1
Claim · model-written summary
Space-photography method with species clustering classifies and maps steppe and semidesert plant cover by fodder value, checked against field ground truth.
Verbatim
e1“The authors outline a method for employing space photography in the classification and mapping of different types of steppe and semidesert plant cover according to their value as a fodder resource”
e2“Cross checking of the identified clusters in the field for ground truth provided the basis for the development of a series of remote sensing interpretation keys”