Ankita Saxena

Ankita Saxena is a postdoctoral researcher at Land Use Change and Climate Research group. She is a computer engineer by training and did her PhD in Land use change and urban growth modelling using cellular automata and geospatial techniques. She is presently working on CRAFTY-Global land use model development under different shared socioeconomic pathways and climate change scenarios to analyse various aspects of land use change. Her work also includes Photovoltaic Potential Modelling and urban growth modelling both at global scale (for more see also PV Potential).

2026
Saxena, A.; Brown, C.; Winkler, K.; Arneth, A.; Rounsevell, M.
Global Gridded Land Management Dataset at 0.01-degrees
2026. doi:10.5281/zenodo.18249969 
2025
Perkins, O.; Saxena, A.; Seo, B.; Millington, J.; Brown, C.; Rounsevell, M.
Gridded socio-economic capitals for the SSPs
2025. doi:10.5281/zenodo.14178581 
2024
Saxena, A.; Brown, C.; Arneth, A.; Rounsevell, M.
Advanced photovoltaic technology can reduce land requirements and climate impact on energy generation
2024. Communications Earth & Environment, 5, Article no: 586. doi:10.1038/s43247-024-01754-4  
Saxena, A.; Arneth, A.; Rounsevell, M.; Brown, C.
PV potential model for Germany- 1km gridded dataset
2024. doi:10.17605/OSF.IO/X28EG 
2023
Saxena, A.; Brown, C.; Arneth, A.; Rounsevell, M.
Modelling the global photovoltaic potential on land and its sensitivity to climate change
2023. Environmental Research Letters, 18 (10), Art.-Nr.: 104017. doi:10.1088/1748-9326/acf86f  
Saxena, A.; Arneth, A.; Brown, C.; Rounsevell, M.
Global Photovoltaic Potential Modelling (2020-2100)
2023, July 18. Center for Open Science (OSF). doi:10.17605/OSF.IO/8UV2S 
2022
Jana, A.; Jat, M. K.; Saxena, A.; Choudhary, M.
Prediction of land use land cover changes of a river basin using the CA-Markov model
2022. Geocarto International, 37 (26), 14127–14147. doi:10.1080/10106049.2022.2086634 
2021
Saxena, A.; Jat, M. K.; Clarke, K. C.
Development of SLEUTH-Density for the simulation of built-up land density
2021. Computers, Environment and Urban Systems, 86, Art.-Nr.: 101586. doi:10.1016/j.compenvurbsys.2020.101586 
2020
Saxena, A.; Jat, M. K.
Land suitability and urban growth modeling: Development of SLEUTH-Suitability
2020. Computers, Environment and Urban Systems, 81, 101475. doi:10.1016/j.compenvurbsys.2020.101475 
Saxena, A.; Jat, M. K.
Analysing performance of SLEUTH model calibration using brute force and genetic algorithm–based methods
2020. Geocarto International, 35 (3), 256–279. doi:10.1080/10106049.2018.1516242 
2019
Saxena, A.; Jat, M. K.
Capturing heterogeneous urban growth using SLEUTH model
2019. Remote Sensing Applications: Society and Environment, 13, 426–434. doi:10.1016/j.rsase.2018.12.012 
2018
Jat, M. K.; Saxena, A.
Sustainable Urban Growth using Geoinformatics and CA based Modelling
2018. Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance, 499–508, Association for Computing Machinery (ACM). doi:10.1145/3209415.3209429 
2017
Jat, M. K.; Choudhary, M.; Saxena, A.
Application of geo-spatial techniques and cellular automata for modelling urban growth of a heterogeneous urban fringe
2017. The Egyptian Journal of Remote Sensing and Space Science, 20 (2), 223–241. doi:10.1016/j.ejrs.2017.02.002  
Saxena, A.; Jat, M. K.
Integration of geo-spatial technologies and CA for urban growth assessment and prediction
2017. 2017 Joint Urban Remote Sensing Event (JURSE), Art.Nr.: 7924584, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/jurse.2017.7924584