Expertise: Geodesy, Geography, Remote Sensing, GIS
Expertise Group: Engineering
Consultant Source: National
TOR Keywords:
Objective and Purpose of the Assignment
The overall objective for the River Basin Remote Sensing Specialist engagement is to provide the
technical analysis of land use and land cover for the study. This specialist is responsible for
generating definitive geospatial data and analytical insights that characterize the current landscape,
which will serve as a foundational layer for the project’s integrated flood risk assessment. The
specific objectives to be achieved within the four-month assignment are
- To quickly assamble, process, and align all secondary geospatial data related to land use and land
cover data, including satellite imagery and official maps, to create a consistent and analysis-ready
dataset for the two river basins. - To apply remote sensing and GIS techniques to analyze the acquired data, producing a clear
classification of current land cover types (e.g., urban/built-up areas, agricultural lands, water
bodies, crops/natural vegetation) and identifying key patterns of landscape change. - To provide a critical analytical input to the project’s integrated exposure assessment by quantifying
the extent of different land use types that are situated within delineated flood hazard zones. - To contribute directly to the study’s final report by authoring the technical sections on land use
and land cover patterns and their implications for flood risk analysis, and by identifying significant
gaps in available land use and land cover data to create mitigation for more detailed studies.
Scope of Work
Task 1: Geospatial Data Acquisition and Preparation
a. Systematically identify and obtain all accessible geospatial datasets related to land use and land
cover for the CimanCis and Seluna river basins, including the latest official Land Cover Maps from the
Ministry of Environment and Forestry (KLHK), Spatial Plan (RTRW) maps from the Ministry of Agrarian
Affairs and Spatial Planning (ATR/BPN), and recent cloud-free satellite imagery (e.g., Sentinel-2,
Landsat).
b. Perform all necessary pre-processing of the acquired data for analysis.
c. Integrate all processed land use datasets into the GIS database, ensuring compatibility with other
data layers (e.g., administrative boundaries, river networks, etc.) and documenting all data sources and
processing steps in the metadata.
Task 2: Land Cover Classification and Dynamics Analysis
a. Utilize remote sensing and GIS software to perform rapid land use and land cover classification for
the study areas. This will involve applying appropriate classification algorithms to satellite imagery.
b. Analyze the resulting land cover map to characterize the current landscape, identifying the dominant
land use patterns, and quantifying the total area of each class within the two river basins.
c. Conduct a high-level change detection analysis, including historical data, to identify significant
trends in urbanization and agricultural expansion, particularly in riparian and flood-prone areas.
Task 3: Contribution to Integrated Exposure Assessment and Reporting
a. Provide the finalized land cover classification layer to the Geomatics Specialist for use in the
integrated GIS overlay analysis.
b. Collaborate with the team to analyze the results of the overlay, specifically quantifying the area of
each land use type (e.g., hectares of residential areas, hectares of paddy fields) that falls within the
delineated flood hazard zones.
c. Deliver a report and recommendation of the detailed technical chapter(s) for the project’s final
report that describe the methodology used for the land cover analysis, present the findings on current
land use patterns and dynamics, and discuss their direct implications for flood exposure and risk in the
study areas to provide the formulation of flood risk management recommendations.
Detailed Tasks and/or Expected Output
- Inception Report, including A set of analysis of GIS data layers for the CimanCis and Seluna river
basins, accurately classified into key land use types, with complete metadata documenting sources and
processing methods. - Interim Report includes preliminary datasets, initial classification maps, early statistical
summaries, initial change-detection observations, and early exposure analysis results from overlaying
land cover with hazard zones. - Final Report, consisting of a technical recommendation, identification of significant limitations or
gaps in the available land use data and providing clear recommendations for future data collection or
more detailed studies needed to support long-term flood risk management.
a. A series of high-quality maps for inclusion in the final report, visually representing the current
land use patterns, the extent of urbanization and agricultural areas, and the intersection of these land
uses with flood hazard zones.
b. A comprehensive written contribution to the study’s report that details the land cover analysis
methodology, presents the quantitative findings, and provides an expert interpretation of how land use
patterns contribute to flood risk in the two river basins and the mitigation.
Minimum Qualification Requirements
- A master’s degree (S2) or higher in Geodesy, Geography, Remote Sensing, or a closely related
geospatial science field. - A minimum of five (5) years of demonstrated professional experience in the application of remote
sensing and GIS, or relevant fields. - Advanced proficiency in GIS software (e.g., ArcGIS Pro, QGIS) for spatial data management,
vector/raster analysis, remote sensing analysis, and professional cartographic production. - Have working experience in managing and documenting geospatial datasets, including the creation of
compliant metadata; - Proven ability to work effectively within a multi-disciplinary team of technical experts under tight
deadlines and to deliver high-quality outputs; - Excellent professional proficiency in both spoken and written English and Bahasa Indonesia is
required, including the ability to write clear and concise technical reports
Minimum General Experience: 5 Years
Minimum Specific Experience (relevant to assignment): 5 Years
