Coherence-based land cover classification in forested areas of Chattisgarh, Central India, using environmental satellite-advanced synthetic aperture radar data

Coherence-based land cover classification in forested areas of Chattisgarh, Central India, using environmental satellite-advanced synthetic aperture radar data

Vyjayanthi Nizalapur;Rangaswamy Madugundu;Chandra S. Jha;
journal of applied remote sensing 1970 Vol. 5 pp. 059501-
112
nizalapur1970journalcoherence-based

Abstract

The Journal of Applied Remote Sensing (JARS) is an online journal that optimizes the communication of concepts, information, and progress within the remote sensing community to improve the societal benefit for monitoring and management of natural disasters, weather forecasting, agricultural and urban land-use planning, environmental quality monitoring, ecological restoration, and numerous other commercial and scientific applications.

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