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Remote Sensing and GIS Lab
Indonesian Institute of Sciences

Our lab. Works within the spatial analysis, Geographic Information Systems, and Remote Sensing of the Research Center for Oceanography, Indonesian Institute of Sciences (LIPI). 

Research

Remote Sensing lab. was operated under Research Center for Oceanography, Indonesian Institute of Sciences (LIPI) which is located in North Jakarta, Indonesia. In total, we have 9 researchers and 3 technicians with various backgrounds and research interests. About 80 % of our researchers mainly conducted research on the application of remote sensing and GIS for benthic habitat study, mangrove monitoring dan coastal disaster risk reduction. The rest of the researchers were interested to have research in the offshore region by utilizing ocean color remote sensing and altimeter. We have been published dozens of peer-review articles both in English and Bahasa Indonesia.

Apart from doing research, we also assist line ministries to develop coastal environmental databases such as mangrove, seagrass, and coral reef distribution across Indonesia. We also welcome diploma/undergraduate students to have internships and research activities in our laboratory.   We also welcome having further collaborations with international researchers who are interested in our activities

News & Events

Latest Publications

Accelerating Urban Heating Under Land-Cover and Climate Change Scenarios in Indonesia: Application of the Universal Thermal Climate Index

We projected the current and future spatial variability of heat stress index in three cities in Indonesia, namely, Medan, Surabaya, and Denpasar, under climate change and land-cover change scenarios, and quantified it with the Universal Thermal Climate Index (UTCI) for two periods, baseline (1981–2005) and future (2018–2042). Our results demonstrated that currently the higher level of the UTCI was identified in the urban centers of all three cities, indicating the contribution of urban heat island phenomenon to the higher UTCI. Under climate change scenarios, all three cities will experience increase of the heat, whereas applying the land-cover scenario demonstrated that in only Medan and Denpasar, the UTCI is likely to experience a higher increase by 3.1°C; however, in Surabaya, the UTCI will experience 0.84°C decrease in the period 2018–2042 due to urban greening. This study advanced the UTCI methodology by demonstrating its applicability for urban heat warning systems and for monitoring of the urban green cooling effect, as well as it provides a base for adaptation measures’ planning.