Predicting Spatial and Decadal LULC Changes Through Cellular Automata Markov Chain Models Using Earth Observation Datasets and Geo-information

Environmental Processes

Volumn 2, Issue 1, 2015, Pages 61-78

  Singh, Sudhir Kumar ^a   Mustak, Sk ^b   Srivastava, Prashant K ^c,d   Szabó, Szilárd ^e   Islam, Tanvir ^f,g  

^a UNIVERSITY OF ALLAHABAD   (India)

^b PT RAVISHANKAR SHUKLA UNIVERSITY   (India)

^c NASA GODDARD SPACE FLIGHT CENTER   (United States)

^d UNIVERSITY OF MARYLAND   (United States)

^e UNIVERSITY OF DEBRECEN   (Hungary)

^f NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^g Veterinary Dentistry and Oral Surgery   (United States)

Author keywords

Cellular automata; India; LULC; Markov chain analysis; Predictive modeling; Remote sensing and GIS

Indexed keywords

CELLULAR AUTOMATA; CHAINS; CLASSIFICATION (OF INFORMATION); DECISION MAKING; GEOGRAPHIC INFORMATION SYSTEMS; LAND USE; MARKOV PROCESSES; OBSERVATORIES;

INDIA; LULC; MARKOV CHAIN ANALYSIS; PREDICTIVE MODELING; REMOTE SENSING AND GIS;

REMOTE SENSING;

DATA SET; GIS; LAND COVER; LAND USE CHANGE; MARKOV CHAIN; MODEL VALIDATION; OBSERVATIONAL METHOD; POLICY MAKING; PREDICTION; REMOTE SENSING; SATELLITE DATA; SATELLITE IMAGERY; SPATIOTEMPORAL ANALYSIS; URBANIZATION;

ALLAHABAD; INDIA; UTTAR PRADESH;

EID: 84937786386     PISSN: 21987491     EISSN: 21987505     Source Type: Journal    
DOI: 10.1007/s40710-015-0062-x     Document Type: Article

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