The ISPRS SC Webinar Series
ISPRS TC WG III/4 Webinar
This webinar is organised by ISPRS TC III/WG 4 and supported by ISPRS Student Consortium (ISPRS SC).
Title 1: Global to Local Scale Landscape Evolutions through Multi-source Satellite Data and Artificial Intelligence.
Abstract: Dr Mahlatse Kgyanyago’s recent work focuses on advancing the use, understanding, and implementation of cutting-edge remote sensing technologies and machine learning models for agro-ecological systems research and application development. He has contributed to internationally funded projects such as CropWatch for South Africa (funded by the UK Space Agency), the EU H2020 AfriCultuReS project aimed at enhancing food security in African agricultural systems (http://www.africultures.eu/), and the Wetlands Monitoring and Assessment Service for Transboundary Basins in Southern Africa (WeMAST, http://wemast.sasscal.org/) funded by the GMES & Africa program (EU-AU).
Title 2: Modeling the spatial dynamics of land cover transitions and vegetation conditions in Abuja city, Nigeria
Speaker: Dr Yoksa Mshelia Abstract: Urban expansion poses significant challenges to sustainable development, particularly in rapidly growing cities. This study aims to assess the current and future dynamics of land cover transitions and analyze the vegetation conditions in Abuja City since it became Nigeria’s capital in 1991. A random forest classifier embedded in the Google Earth Engine platform was used to classify Landsat imagery for the years 1990, 2001, 2014 & 2020. A post-classification comparison was used to detect the dynamics of land cover transitions. Hybrid Cellular Automata and Markovian was used to model the probable scenario of land cover changes for 2050. The trend of Normalized Difference Vegetation Index was examined using the Mann-Kendall test and Theil Sen's slope estimator. The findings highlight the importance of integrating remote sensing tools into urban planning processes to promote sustainable development and enhance resilience in growing cities.
