Modelling land use and land cover dynamics of Dedza district of Malawi using hybrid Cellular Automata and Markov model

Munthali, Maggie G.; Mustak, Sk.; Adeola, Abiodun M.; Botai, Joel Ongego; Singh, Sudhir Kumar; Davis, Nerhene

doi:10.1016/j.rsase.2019.100276

Cited by 85 publications

(60 citation statements)

References 78 publications

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“…There are yet studies that focused on spatio-temporal variation of landscape patterns, wherein they considered complex interactions of social, economic, demographic, technological, political, biophysical, and cultural factors, for example Behera et al [5], Hounkpè et al [19], and Munthali et al [46]. Swotting the key findings from such studies and assessing their relevance for managing academic institutions can oblige as an imperative benchmark for academicians, policymakers, institutional planners, and natural resource managers.…”

Section: Learnings From Past Studiesmentioning

confidence: 99%

Investigating impact of land-use and land cover changes on hydro-ecological balance using GIS: insights from IIT Bombay, India

Srivastava

Chinnasamy

2021

SN Appl. Sci.

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The present study, for the first time, examined land-use land cover (LULC), changes using GIS, between 2000 and 2018 for the IIT Bombay campus, India. Objective was to evaluate hydro-ecological balance inside campus by determining spatio-temporal disparity between hydrological parameters (rainfall-runoff processes), ecological components (forest, vegetation, lake, barren land), and anthropogenic stressors (urbanization and encroachments). High-resolution satellite imageries were generated for the campus using Google Earth Pro, by manual supervised classification method. Rainfall patterns were studied using secondary data sources, and surface runoff was estimated using SCS-CN method. Additionally, reconnaissance surveys, ground-truthing, and qualitative investigations were conducted to validate LULC changes and hydro-ecological stability. LULC of 2018 showed forest, having an area cover of 52%, as the most dominating land use followed by built-up (43%). Results indicated that the area under built-up increased by 40% and playground by 7%. Despite rapid construction activities, forest cover and Powai lake remained unaffected. This anomaly was attributed to the drastically declining barren land area (up to ~ 98%) encompassing additional construction activities. Sustainability of the campus was demonstrated with appropriate measures undertaken to mitigate negative consequences of unwarranted floods owing to the rise of 6% in the forest cover and a decline of 21% in water hyacinth cover over Powai lake. Due to this, surface runoff (~ 61% of the rainfall) was observed approximately consistent and being managed appropriately despite major alterations in the LULC. Study concluded that systematic campus design with effective implementation of green initiatives can maintain a hydro-ecological balance without distressing the environmental services.

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Section: Learnings From Past Studiesmentioning

confidence: 99%

Investigating impact of land-use and land cover changes on hydro-ecological balance using GIS: insights from IIT Bombay, India

Srivastava

Chinnasamy

2021

SN Appl. Sci.

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“…Neste estudo, as previsões de uso do solo para os anos de 2010 e 2019, realizadas por meio de ANN com base em tendências históricas (matriz de transição entre 1990-2000 e 2000-2010), apresentaram bons resultados (índice Kappa geral de 79,91% e índice Kappa de (MUNTHALI et al, 2020). Nesse caso, foi realizada a projeção de cenários para os anos de 2030 e 2040.…”

Section: Cenários Futuros De Uso E Ocupação Do Solounclassified

Dinâmica Do Uso E Ocupação Do Solo Na Bacia Hidrográfica Do Rio Pimenta, Região Sudeste Do Estado De Rondônia: Avaliação E Cenários Futuros

Duarte

Mendonça

Bonfanti

2021

revset

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Compreender as modificações no uso e ocupação do solo e as demandas sociais relacionadas é de grande valia, pois permite o ordenamento territorial e o desenvolvimento de políticas públicas de forma mais adequada. Nesse sentido, este estudo avaliou as mudanças no uso e ocupação do solo na bacia hidrográfica do rio Pimenta, entre as décadas de 1990 e 2019, além disso, realizou-se uma simulação para cenários futuros. O uso do solo foi avaliado entre os anos de 1990, 2000, 2010 e 2019, em seguida, com base na matriz de transição histórica, foram elaborados cenários futuros para 2030 e 2040. Os resultados obtidos mostraram grandes perdas de áreas de floresta, principalmente, na primeira década, para a implementação de pastagens, seguidas pela agricultura. No cenário futuro, o modelo indicou que mais de 809,83 km² da vegetação florestal serão removidos até 2040 para o estabelecimento de práticas agropecuárias pouco produtivas.

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“…They are widely used in the simulation and prediction of land use [38]. According to the previous studies [12,14,38,39], the CA model can be expressed as:…”

Section: Ca-markov Modelmentioning

confidence: 99%

Integration of Boosted Regression Trees and Cellular Automata—Markov Model to Predict the Land Use Spatial Pattern in Hotan Oasis

et al. 2020

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The simulation and prediction of the land use changes is generally carried out by cellular automata—Markov (CA-Markov) model, and the generation of suitable maps collection is subjective in the simulation process. In this study, the CA-Markov model was improved by the Boosted Regression Trees (BRT) to simulate land use to make the model objectively. The weight of ten driving factors of the land use changes was analyzed in BRT, in order to produce the suitable maps collection. The accuracy of the model was verified. The outcomes represent a match of over 84% between simulated and actual land use in 2015, and the Kappa coefficient was 0.89, which was satisfactory to approve the calibration process. The land use of Hotan Oasis in 2025 and 2035 were predicted by means of this hybrid model. The area of farmland, built-up land and water body in Hotan Oasis showed an increasing trend, while the area of forestland, grassland and unused land continued to show a decreasing trend in 2025 and 2035. The government needs to formulate measures to improve the utilization rate of water resources to meet the growth of farmland, and need to increase ecological environment protection measures to curb the reduction of grass land and forest land for the ecological health.

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Modelling land use and land cover dynamics of Dedza district of Malawi using hybrid Cellular Automata and Markov model

Cited by 85 publications

References 78 publications

Investigating impact of land-use and land cover changes on hydro-ecological balance using GIS: insights from IIT Bombay, India

Investigating impact of land-use and land cover changes on hydro-ecological balance using GIS: insights from IIT Bombay, India

Dinâmica Do Uso E Ocupação Do Solo Na Bacia Hidrográfica Do Rio Pimenta, Região Sudeste Do Estado De Rondônia: Avaliação E Cenários Futuros

Integration of Boosted Regression Trees and Cellular Automata—Markov Model to Predict the Land Use Spatial Pattern in Hotan Oasis

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