How remote sensing can help in planning urban green in a city? This was the primary query in Gulam Mohiuddin’s study as a student of Forest Information Technology (FIT) in HNEE. The study area was two Asian cities namely Chittagong (Bangladesh) and Phnom Penh (Cambodia), where a thermal remote sensing approach was applied to select priority areas for urban greening according to their respective administrative boundaries. The study has used Landsat 8 data that has 100-meter thermal resolutions. The primary method of the study is Land Surface Temperature (LST) analysis using radiance, temperature brightness and emissivity.

The study argued that this approach using the LST is a good substitute for the ground-based temperature recording considering resources, time, effort, and repeatability (for change analysis). Presenting the results based on administrative units makes it more user-friendly for urban decision-makers.

The result found 08 and 10 administrative units as hotspots for UGS, respectively, for Phnom Penh and Chittagong.

The study results were presented at the annual conference of GI-Forum, 2020 and published in the GI_Forum 2021, Volume 9, Issue 2.

Gulam Mohiuddin is working as scientific staff at HNEE in the frame of the Build4People Project funded by the Federal Ministry of Education and Research.

Contact for research and collaboration in the field of thermal remote sensing and urban green at