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Environmental Earth Sciences

Erschienen in:

01.11.2017 | Original Article

Analyzing and modeling of a large river basin dynamics applying integrated cellular automata and Markov model

verfasst von: Brij Kishor Pandey, Deepak Khare

Erschienen in: Environmental Earth Sciences | Ausgabe 22/2017

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Abstract

Historical and exact information about the land use/land cover change is very important for regional sustainable development. The aim of this paper is to determine the rapid changes in land use/land cover (LULC) pattern due to agriculture expansion, environmental calamities such as flood and government policies over Upper Narmada basin, India. Multi-temporal Landsat satellite images for years 1990, 2000, 2010 and 2015 were used to analyze and monitor the changes in LULC with an overall accuracy of more than 85%. Results revealed a potential decrease in natural vegetation (− 9.52%) due to the expansion of settlement (+ 0.52%) and cropland (+ 9.43%) from 1990 to 2015. In the present study, Cellular Automata and Markov (CA–Markov), an integrated tool was used to project the short-term LULC map of year 2030. The projected LULC (2030) indicated the expansion of built-up area along with the cropland and degradation in the vegetation area. The outcomes from the study can help as a guiding tool for protection of natural vegetation and the management of the built-up area. Additionally, it will help in devising the strategies to utilize every bit of land in the study area for decision makers.

Vorheriger Artikel Investigation of fluoride contamination and its mobility in groundwater of Simlapal block of Bankura district, West Bengal, India

Nächster Artikel An experimental study on controlling post-earthquake debris flows using slit dams

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Titel: Analyzing and modeling of a large river basin dynamics applying integrated cellular automata and Markov model
verfasst von: Brij Kishor Pandey
Deepak Khare
Publikationsdatum: 01.11.2017
Verlag: Springer Berlin Heidelberg
Erschienen in: Environmental Earth Sciences / Ausgabe 22/2017
Print ISSN: 1866-6280
Elektronische ISSN: 1866-6299
DOI: https://doi.org/10.1007/s12665-017-7133-4

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