Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects

J Wang, M Bretz, MAA Dewan, MA Delavar - Science of The Total …, 2022 - Elsevier
Land-use and land-cover change (LULCC) are of importance in natural resource
management, environmental modelling and assessment, and agricultural production …

Beyond land cover change: towards a new generation of land use models

PH Verburg, P Alexander, T Evans… - Current Opinion in …, 2019 - Elsevier
Highlights•Land use model are a central tool in land system science.•There is a lack of new
land use modelling concepts published in recent years.•Land use models are frequently …

Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China

X Liang, Q Guan, KC Clarke, S Liu, B Wang… - … , Environment and Urban …, 2021 - Elsevier
Cellular Automata (CA) are widely used to model the dynamics within complex land use and
land cover (LULC) systems. Past CA model research has focused on improving the technical …

Evaluating the potential impacts of land use changes on ecosystem service value under multiple scenarios in support of SDG reporting: A case study of the Wuhan …

K Peng, W Jiang, Z Ling, P Hou, Y Deng - Journal of Cleaner Production, 2021 - Elsevier
Terrestrial ecosystem services can offer various kinds of benefits for human life and
production and play a critical role in the attainment of the Sustainable Development Goals …

Understanding spatio-temporal patterns of land use/land cover change under urbanization in Wuhan, China, 2000–2019

H Zhai, C Lv, W Liu, C Yang, D Fan, Z Wang, Q Guan - Remote Sensing, 2021 - mdpi.com
Exploring land use structure and dynamics is critical for urban planning and management.
This study attempts to understand the Wuhan development mode since the beginning of the …

[HTML][HTML] The ecosystem service values simulation and driving force analysis based on land use/land cover: A case study in inland rivers in arid areas of the Aksu River …

L Xie, H Wang, S Liu - Ecological Indicators, 2022 - Elsevier
The ecosystem of inland river basin is of great significance to the socio-economic stability in
arid area. Therefore, to evaluate the ecosystem service values (ESVs) is necessary for …

Assessing and mapping multi-hazard risk susceptibility using a machine learning technique

HR Pourghasemi, N Kariminejad, M Amiri, M Edalat… - Scientific reports, 2020 - nature.com
The aim of the current study was to suggest a multi-hazard probability assessment in Fars
Province, Shiraz City, and its four strategic watersheds. At first, we construct maps depicting …

Scenario-based flood risk assessment for urbanizing deltas using future land-use simulation (FLUS): Guangzhou Metropolitan Area as a case study

W Lin, Y Sun, S Nijhuis, Z Wang - Science of the Total Environment, 2020 - Elsevier
Preparing cities for sea-level rise is one of the critical challenges of the twenty-first century.
Extreme weather events, natural hazards, and the failure of climate mitigation and …

Mixed-cell cellular automata: A new approach for simulating the spatio-temporal dynamics of mixed land use structures

X Liang, Q Guan, KC Clarke, G Chen, S Guo… - Landscape and Urban …, 2021 - Elsevier
When used for land use change modeling, Cellular Automata (CA) usually assume that each
cell has only one land use type at each time step, ignoring the mixed land use structures that …

Simulating wetland changes under different scenarios based on integrating the random forest and CLUE-S models: A case study of Wuhan Urban Agglomeration

K Peng, W Jiang, Y Deng, Y Liu, Z Wu, Z Chen - Ecological Indicators, 2020 - Elsevier
Wetlands are one of the most productive ecosystems and play an important role in
supporting a wide range of biodiversity and providing various kinds of ecosystem services …