Monitoring and predicting regional land use and land cover changes in an estuarine landscape of India.
Cellular automata-Markov model
Estuarine ecosystem
Multi-criteria evaluation
Multi-layer perceptron
Prediction modeling
Journal
Environmental monitoring and assessment
ISSN: 1573-2959
Titre abrégé: Environ Monit Assess
Pays: Netherlands
ID NLM: 8508350
Informations de publication
Date de publication:
15 Feb 2021
15 Feb 2021
Historique:
received:
02
08
2020
accepted:
26
01
2021
entrez:
15
2
2021
pubmed:
16
2
2021
medline:
18
2
2021
Statut:
epublish
Résumé
Deciphering land use and land cover (LULC) change patterns, identifying the variables that act as the major driving forces of change, and predicting possible changes are necessary tools of decision support for policymakers. Estuarine landscapes world over are under extreme pressure of developmental activities because of their resources. The developmental activities lead to unforeseen changes in the traditional land use practices, making it necessary for investigation of the possible outcomes. The present study aims to study the changing pattern of LULC in the East Godavari River Estuarine Ecosystem (EGREE) landscape during 1977-2015 using temporal satellite data and to predict the possible LULC changes by 2029. Cellular Automata-Markov model (CAMM) with and without the multi-criteria evaluator (MCE) and the multi-layer perceptron (MLP) models were used for future LULC prediction. Between 1977 and 2015, mangroves were converted to aquaculture (5.81 km
Identifiants
pubmed: 33587188
doi: 10.1007/s10661-021-08915-4
pii: 10.1007/s10661-021-08915-4
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
124Références
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