© Ankita Saxena
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).
Email: ankita.saxena@kit.edu
Telephone: +49 8821 183 209
Publications Ankita Saxena
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
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
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
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
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
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
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
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
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
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
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
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
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