Modeling land cover change dynamic using a hybrid model approach in Qeshm Island, Southern Iran
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Modeling land cover change dynamic using a hybrid model approach in Qeshm Island, Southern Iran
Authors
Keywords
-
Journal
ENVIRONMENTAL MONITORING AND ASSESSMENT
Volume 192, Issue 5, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-04-22
DOI
10.1007/s10661-020-08270-w
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Simulating urban land use change by integrating a convolutional neural network with vector-based cellular automata
- (2020) Yaqian Zhai et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Contemporary comparative assessment of atmospheric correction influence on radiometric indices between Sentinel-2A and Landsat 8 imagery
- (2019) Luka Rumora et al. Geocarto International
- Examining the sensitivity of spatial scale in cellular automata Markov chain simulation of land use change
- (2019) Hao Wu et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Modelling land cover changes in the tropical dry forest surrounding the Chamela-Cuixmala biosphere reserve, Mexico
- (2019) Rolando Flores-Casas et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Modelling land use/cover change to assess future urban sprawl in Romania
- (2019) Ines Grigorescu et al. Geocarto International
- Dynamic land use change simulation using cellular automata with spatially nonstationary transition rules
- (2018) Yongjiu Feng et al. GIScience & Remote Sensing
- Assessments of preprocessing methods for Landsat time series images of mountainous forests in the tropics
- (2018) Katsuto Shimizu et al. Journal of Forest Research
- Investigating the land use characteristics of urban integration based on remote sensing data: experience from Guangzhou and Foshan
- (2018) Jinyao Lin et al. Geocarto International
- Spatial–spectral preprocessing for spectral unmixing
- (2018) Yang Yan et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A comparative approach to modelling multiple urban land use changes using tree-based methods and cellular automata: the case of Greater Tokyo Area
- (2017) Guodong Du et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- A CA-based land system change model: LANDSCAPE
- (2017) Xinli Ke et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- A comparison of gap-filling approaches for Landsat-7 satellite data
- (2017) Gaohong Yin et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Effect of climate change on vegetation phenology of different land-cover types on the Tibetan Plateau
- (2017) Min Cheng et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Illegal land use change assessment using GIS and remote sensing to support sustainable land management strategies in Taiwan
- (2017) Miguel Valdez et al. Geocarto International
- Modelling of land use land cover change using earth observation data-sets of Tons River Basin, Madhya Pradesh, India
- (2017) Sudhir Kumar Singh et al. Geocarto International
- A spatial zoning approach to calibrate and validate urban growth models
- (2016) Ali Kazemzadeh-Zow et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- An efficient multi-resolution variational Retinex scheme for the radiometric correction of airborne remote sensing images
- (2016) Huifang Li et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- A Markovian and cellular automata land-use change predictive model of the Usangu Catchment
- (2016) Canute Hyandye et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Modelling coastal land use change by incorporating spatial autocorrelation into cellular automata models
- (2016) Yongjiu Feng et al. Geocarto International
- Construction of an ecological resistance surface model and its application in urban expansion simulations
- (2015) Yuyao Ye et al. Journal of Geographical Sciences
- Spatiotemporal distribution of Landsat imagery of Europe using cloud cover-weighted metadata
- (2015) Márton Tolnai et al. Journal of Maps
- Rates and drivers of mangrove deforestation in Southeast Asia, 2000–2012
- (2015) Daniel R. Richards et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Optimal selection of GCPs from Global Land Survey 2005 for precision geometric correction of Landsat-8 imagery
- (2015) Shanshan Li et al. European Journal of Remote Sensing
- Geospatial scenario based modelling of urban and agricultural intrusions in Ramsar wetland Deepor Beel in Northeast India using a multi-layer perceptron neural network
- (2014) Chitrini Mozumder et al. International Journal of Applied Earth Observation and Geoinformation
- A big data urban growth simulation at a national scale: Configuring the GIS and neural network based Land Transformation Model to run in a High Performance Computing (HPC) environment
- (2013) Bryan C. Pijanowski et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Evaluating drivers of land-use change and transition potential models in a complex landscape in Southern Mexico
- (2013) Melanie Kolb et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Land change modelling: moving beyond projections
- (2013) Martin Paegelow et al. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
- Modelling and analyzing the watershed dynamics using Cellular Automata (CA)–Markov model – A geo-information based approach
- (2013) MUKUNDA D BEHERA et al. Journal of Earth System Science
- A spatiotemporal model of land use change based on ant colony optimization, Markov chain and cellular automata
- (2012) Xin Yang et al. ECOLOGICAL MODELLING
- Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion
- (2012) Jamal Jokar Arsanjani et al. International Journal of Applied Earth Observation and Geoinformation
- Quantifying parameter uncertainty in a coral reef model using Metropolis-Coupled Markov Chain Monte Carlo
- (2010) Damian Clancy et al. ECOLOGICAL MODELLING
- A cellular automata model of land cover change to integrate urban growth with open space conservation
- (2010) Diana Mitsova et al. LANDSCAPE AND URBAN PLANNING
- Cellular automata for simulating land use changes based on support vector machines
- (2007) Qingsheng Yang et al. COMPUTERS & GEOSCIENCES
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started