Forecasting land-cover growth using remotely sensed data: a case study of the Igneada protection area in Turkey

Environmental Monitoring and Assessment

Volumn 187, Issue 3, 2015, Pages

  Bozkaya, A Gonca ^a   Balcik, Filiz Bektas ^b   Goksel, Cigdem ^b   Esbah, Hayriye ^b  

^a MIMAR SINAN UNIVERSITY   (Turkey)

^b ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Cellular automata Markov model; Igneada; Image processing; Land use land cover; Remote sensing; Stochastic Markov model

Indexed keywords

AGRICULTURAL ROBOTS; CELLULAR AUTOMATA; CONSERVATION; ENVIRONMENTAL PROTECTION; FORESTRY; IMAGE PROCESSING; LAND USE; MARKOV CHAINS; REMOTE SENSING; ROBOTS; STOCHASTIC SYSTEMS;

IGNEADA; LAND USE/LAND COVER; LANDSAT THEMATIC MAPPER; LANDSCAPE COMPOSITION; LANDSCAPE CONFIGURATION; MARKOV MODEL; REMOTELY SENSED DATA; SUSTAINABLE UTILIZATION;

STOCHASTIC MODELS;

CELLULAR AUTOMATON; IMAGE PROCESSING; LAND COVER; LAND USE CHANGE; LANDSAT THEMATIC MAPPER; MARKOV CHAIN; REMOTE SENSING; STOCHASTICITY;

AGRICULTURAL LAND; AGRICULTURE; ARTICLE; CELLULAR AUTOMATA MARKOV MODEL; CITY; COMPUTER SIMULATION; ECOSYSTEM; ENVIRONMENTAL CHANGE; ENVIRONMENTAL IMPACT; ENVIRONMENTAL MANAGEMENT; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PROTECTION; FORECASTING; GROWTH, DEVELOPMENT AND AGING; LAND USE; LANDSCAPE ECOLOGY; MACHINE LEARNING; MEASUREMENT ACCURACY; PREDICTION; PROCEDURES; QUANTITATIVE STUDY; REMOTE SENSING; SPATIOTEMPORAL ANALYSIS; STATISTICS AND NUMERICAL DATA; STOCHASTIC MARKOV MODEL; THEORETICAL MODEL; TIME SERIES ANALYSIS; TREE; TURKEY; TURKEY (REPUBLIC); VALIDATION PROCESS;

AGRICULTURE; CITIES; CONSERVATION OF NATURAL RESOURCES; ECOSYSTEM; ENVIRONMENTAL MONITORING; GROWTH AND DEVELOPMENT; METHODS; MODELS, THEORETICAL; REMOTE SENSING TECHNOLOGY; STATISTICS AND NUMERICAL DATA; TREES; TURKEY;

FORECASTS; GROWTH; LAND USE; MATHEMATICAL MODELS; REMOTE SENSING; TURKEY;

IGNEADA; KIRKLARELI; TURKEY;

EID: 84963955524     PISSN: 01676369     EISSN: 15732959     Source Type: Journal    
DOI: 10.1007/s10661-015-4322-z     Document Type: Article

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