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- W232370124 abstract "Timely and accurate information on natural resources are pre-requisite for optimum and effective management of natural resources. Remote sensing technology is now established and widely accepted all over the world. Subsequent improvements in the spatial and spectral resolution and better temporal resolution help not only in mapping and monitoring natural resources and environmental degradation at regional and local scales but also provide database for newer area of application. The successful launch of the Indian Remote Sensing Satellites (IRS) series and application in natural resource management and other studies is a new milestone in the development of potential of land cover mapping and estimation in the world over. Coarse resolution satellite data as of NOAA-AVHRR are widely used for vegetation characterisation at regional level. The IRS 1C/1D WiFS data have an advantage of covering large area in single instant field of view (IFOV) avoiding any illumination differences and having good spectral and spatial resolution and recommended temporal resolution for optimum land cover studies. Biome or ecosystem level zonation provides information as per biogeographical map, essential for understanding subsequent eco-physiological processes. An attempt has been made for regional level classification of arid zone in Western part of India using WiFS data, keeping in view the national development needs vis-a-vis advancement expected in the future indigenous and international remote sensing missions. The forest of Western India mainly consists of dry and moist deciduous forest of Tectona grandis, Anogeissus latifolia and associated species and thorn forest of Acacia species, Prosopis juliflora etc. Mangrove vegetation occurs along the coastal mud flats. Phenological variability and multidate data have been found very useful in characterising vegetation at biome level through various enhancement methods and classification algorithms. The study conforms to the earlier biogeographical zoning and suggests further subdivision of tropical thorn forests in Kachchh and Kathiawad peninsulas based on the floral & faunal diversity, land cover and land use pattern." @default.
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- W232370124 date "1999-01-01" @default.
- W232370124 modified "2023-09-24" @default.
- W232370124 title "BIOME LEVEL CLASSIFICATION OF VEGETATION IN WESTERN INDIA - AN APPLICATION OF WIDE FIELD VIEW SENSOR (WiFS)" @default.
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