About Us

The research group of Remote Sensing and Geographic Information Science (KK-InSIG) is one of the research groups in Faculty of Earth Sciences and Technology (FITB-ITB). Currently, the group consists of twelve personnel, and is supported by two associate researchers.

Generally, the field of expertise of KK-InSIG is divided into two main branches: geospatial processing and geospatial modelling. Geospatial processing includes close-range photogrammetry, active remote sensing, and environmental remote sensing; while geospatial modelling consists of spatial database, geospatial data fusion, and national spatial data infrastructure. KK-InSIG also has three research sub-divisions, namely Land and Ocean Observing System (LaOOS), Geospatial Data Infrastucture System (GeoDIS) and 3D-Modeling and Information System (3D-MODIS).

KK-InSIG is actively conducts several capacity building activity each year. In recent years, the activities include workshops and seminars regarding the latest geospatial technology, e.g. Unmanned Aerial Vehicle (UAV) and Mobile Mapping System (MMS). Several public lectures (stadium generale) were also held, involving various academicians and practitioners. KK-InSIG also establishes a number of regional and international cooperation with involves a range of private sectors, governments and higher education institutes (HEIs), e.g. Japan International Research Center for Agricultural Sciences; Center for Spatial Analysis, University of Oklahoma, USA; Asian Institute of Technology, Thailand; Faculty of Agriculture, Kochi University, Japan; PASCO Corporation, Japan and Faculty of Anthropology, Stanford University, USA.

Moreover, KK-InSIG contributes actively in the government’s mission in developing the National Spatial Data Infrastructure (NSDI) and national mapping. Since 1975, KK-InSIG has been involved in the training of several human resources, particularly in producing photogrammetry and digital mapping operators, also cartography experts to support the national topography mapping program.