3,030 Geospatial Analysis jobs in Indonesia

• Acquiring, processing, and analyzing multi-spectral, hyperspectral, radar, and thermal satellite imagery.
• Developing and implementing advanced remote sensing algorithms for feature extraction, land cover classification, and change detection.
• Performing detailed GIS analysis, including spatial modeling, geostatistics, and data visualization.
• Creating high-quality thematic maps, reports, and data products for environmental and agricultural applications.
• Integrating remote sensing and GIS data with other datasets (e.g., field data, weather data, socio-economic data).
• Developing and maintaining geospatial databases and ensuring data integrity and quality.
• Designing and conducting remote sensing-based monitoring programs for vegetation health, crop yield estimation, water resource management, and land use change.
• Collaborating with internal teams and external clients to define project objectives and deliver tailored geospatial solutions.
• Staying abreast of the latest advancements in remote sensing technologies, satellite platforms, and GIS software.
• Providing technical guidance and training to junior analysts and team members.
• Presenting findings and recommendations to stakeholders in a clear and concise manner.

• Master's or Ph.D. degree in Remote Sensing, Geography, Geoinformatics, Environmental Science, or a related field.
• Minimum of 7 years of professional experience in remote sensing data analysis and GIS.
• Proficiency in remote sensing software (e.g., ERDAS Imagine, ENVI, SNAP) and GIS software (e.g., ArcGIS, QGIS).
• Strong programming skills in Python or R for image processing and spatial analysis.
• Experience with cloud-based geospatial platforms (e.g., Google Earth Engine, Microsoft Planetary Computer).
• Knowledge of various satellite sensors and their applications.
• Familiarity with drone-based data acquisition and processing is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to work effectively in a remote team environment.
• Proven ability to manage projects, prioritize tasks, and meet deadlines.

• Processing, analyzing, and interpreting remote sensing data (e.g., Sentinel, Landsat, Planet, aerial imagery).
• Developing and implementing GIS workflows for spatial analysis, data visualization, and cartography.
• Performing feature extraction, classification, and change detection analysis on large datasets.
• Building and maintaining geodatabases and ensuring data integrity and accuracy.
• Utilizing advanced analytical techniques such as machine learning and AI for geospatial applications.
• Creating high-quality maps, reports, and visualizations to communicate findings.
• Collaborating with project managers and stakeholders to define data requirements and project goals.
• Developing and automating geospatial processing tasks using scripting languages (e.g., Python).
• Staying current with the latest advancements in remote sensing, GIS technologies, and geospatial data science.

• Master's degree or Ph.D. in Geography, GIS, Remote Sensing, Geomatics, Environmental Science, or a related field.
• Minimum of 5 years of professional experience in geospatial data analysis, remote sensing, and GIS.
• Proficiency with GIS software such as ArcGIS, QGIS, and remote sensing platforms (e.g., ENVI, ERDAS Imagine).
• Strong programming skills in Python, R, or other relevant languages for geospatial analysis.
• Experience with cloud-based geospatial platforms and big data processing.
• Familiarity with various satellite and aerial sensor types and data formats.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to present complex information clearly.
• Proven ability to work independently and manage multiple projects effectively in a remote setting.

• Acquiring, processing, and analyzing satellite imagery and aerial photography using various remote sensing software.
• Developing and implementing GIS workflows for data management, spatial analysis, and visualization.
• Creating thematic maps, reports, and visualizations to communicate spatial information effectively.
• Utilizing advanced techniques for image classification, feature extraction, and change detection.
• Integrating diverse geospatial datasets for comprehensive analysis.
• Conducting spatial modeling and analysis for applications such as environmental impact assessments, land cover mapping, and urban growth prediction.
• Troubleshooting technical issues related to remote sensing data and GIS software.
• Staying up-to-date with the latest developments in remote sensing technology, GIS software, and geospatial data analysis methods.
• Collaborating with interdisciplinary teams to define project requirements and deliver geospatial solutions.
• Documenting methodologies, processes, and results clearly and concisely.
• Mentoring junior analysts and sharing knowledge within the team.

• Master's degree or PhD in Remote Sensing, GIS, Geography, Environmental Science, or a related geospatial field.
• Minimum of 5 years of professional experience in remote sensing data processing and GIS analysis.
• Proficiency in industry-standard remote sensing and GIS software (e.g., ERDAS IMAGINE, ENVI, ArcGIS Pro, QGIS).
• Experience with programming languages relevant to geospatial analysis (e.g., Python, R) is highly desirable.
• Strong understanding of different satellite sensor systems, image processing techniques, and photogrammetry.
• Proven ability to perform complex spatial analysis and data integration.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills, with the ability to present technical findings to diverse audiences.
• Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
• Experience with cloud-based geospatial platforms is a plus.

• Process, analyze, and interpret remote sensing data (e.g., satellite imagery, LiDAR, radar) for geological mapping and mineral exploration.
• Utilize Geographic Information Systems (GIS) software to create, manage, and analyze spatial data, including geological maps, cross-sections, and prospectivity models.
• Identify and delineate geological structures, rock types, and alteration zones indicative of mineral potential.
• Integrate remote sensing data with other geological datasets (e.g., geophysical, geochemical) for comprehensive analysis.
• Develop and maintain GIS databases and geodatabases for exploration projects.
• Conduct remote site assessments and feasibility studies based on spatial analysis.
• Generate high-quality maps, reports, and visualizations to communicate geological findings and recommendations.
• Collaborate with field exploration teams to guide their activities based on remote sensing and GIS analysis.
• Stay current with advancements in remote sensing technologies, GIS software, and geological interpretation techniques.
• Provide technical guidance and mentorship to junior geologists and GIS analysts.
• Contribute to the strategic planning of exploration programs based on spatial data insights.
• Ensure data integrity and accuracy throughout all analytical processes.

• Master's degree in Geology, Geophysics, Earth Science, or a related field with a specialization in Remote Sensing and GIS.
• Minimum of 6 years of experience in geological exploration, with a strong focus on remote sensing data analysis and GIS applications.
• Proficiency in industry-standard GIS software (e.g., ArcGIS, QGIS) and remote sensing software (e.g., ERDAS Imagine, ENVI).
• Experience with scripting languages (e.g., Python) for automating data processing is highly desirable.
• Solid understanding of geological principles, structural geology, and mineral deposit types.
• Experience working with various types of satellite imagery and aerial data.
• Excellent analytical, problem-solving, and data interpretation skills.
• Strong written and verbal communication skills, with the ability to present complex technical information effectively.
• Proven ability to work independently and manage multiple projects in a remote environment.
• Experience in the mining or natural resources sector is a significant advantage.

• Lead the acquisition, processing, and analysis of remote sensing data (satellite, drone, aerial imagery) for agricultural applications.
• Develop and implement GIS-based solutions for crop monitoring, health assessment, and yield forecasting.
• Integrate various data sources, including sensor data, weather information, and soil data, with geospatial analysis.
• Create detailed maps and visualizations to communicate findings on crop variability, nutrient status, and disease/pest prevalence.
• Develop and refine algorithms for automated feature extraction and classification from imagery.
• Collaborate with agronomists, farmers, and research scientists to understand their data needs and provide tailored insights.
• Contribute to the development of precision agriculture strategies and best practices.
• Stay current with the latest advancements in remote sensing technologies, GIS software, and agricultural science.
• Manage and maintain geospatial databases and data management workflows.
• Prepare technical reports, presentations, and publications based on analytical findings.
• Provide training and technical support to team members on GIS and remote sensing tools and techniques.
• Ensure data quality, accuracy, and consistency in all analyses and outputs.
• Contribute to project planning, proposal development, and grant writing.

• Master's or Ph.D. degree in Agronomy, Soil Science, Geography, Remote Sensing, GIS, or a related field.
• Minimum of 7 years of experience in agronomy with a specialization in remote sensing and GIS applications in agriculture.
• Strong proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., ERDAS Imagine, ENVI).
• Experience with image processing techniques, spectral analysis, and classification algorithms.
• Proficiency in programming languages commonly used in geospatial analysis (e.g., Python with libraries like GDAL, Rasterio, GeoPandas; R).
• Solid understanding of agricultural principles, crop physiology, and soil science.
• Experience with precision agriculture technologies and data analysis.
• Excellent analytical, problem-solving, and data interpretation skills.
• Strong written and verbal communication skills, with the ability to present complex technical information clearly.
• Proven ability to work independently and collaboratively in a fully remote team environment.
• Experience with cloud-based geospatial platforms is a plus.
• Demonstrated ability to manage projects and deliver results within deadlines.

• Lead the application of remote sensing and GIS techniques for geological exploration and mapping.
• Process and analyze satellite and aerial imagery to identify geological structures and mineral occurrences.
• Develop and maintain geological GIS databases and spatial models.
• Create detailed geological maps, cross-sections, and 3D visualizations.
• Conduct remote sensing data acquisition planning and quality control.
• Interpret data to assess mineral potential and guide exploration activities.
• Provide technical leadership and mentorship to a remote team of geoscientists.
• Collaborate with geologists and geophysicists to integrate diverse datasets.
• Prepare technical reports, presentations, and proposals.
• Stay current with advancements in remote sensing, GIS, and geological interpretation software.
• Manage multiple projects simultaneously in a remote setting, ensuring timely delivery of results.

About The Company

Hutan Kencana Group was established in Indonesia in 2021 to support ecosystem restoration efforts, protect biodiversity, and improve the wellbeing of communities around forests. The company creates innovative approaches to protect forests and provide alternative livelihoods to local communities.

Job Description:

The candidate will be responsible for leading the GIS-Remote Sensing & Database Division in developing and monitoring AFOLU carbon projects under international standards. The candidate will provide technical and project-based leadership to ensure successful delivery of projects from concept to implementation. The key Roles and Responsibilities under this position are:

• (Technical) Analytics, Project Management and Quality Assurance:
• Take the lead in performing GIS-RS analyses on satellite data, and developing spatial solutions for GIS-RS components in support of evaluation of project opportunities, project development, Measurement, Reporting, and Verification (MRV) process. This includes geo-referencing, calibration, image processing and analysis, feature extraction, and the land cover/land use analysis, change detection, spatial modelling. Ensure technical excellence and innovation in approach.
• Provide expert support and recommendations for the adoption GIS-RS best practices across projects' life cycle. Ensure methodologies are up-to-date, efficient, and aligned with project goals and standard's requirements.
• Participate in technical plans and reports writing when GIS-RS data components are included, and coordinate technical reviews of all GIS-RS deliverables (from internal and external/subcontractors) submitted for project certification (validation and verification).
• Develop GIS-RS & Database Standard Operating Procedures (SOPs), ensuring that SOPs reflect current best practices, technological advancements, and regulatory requirements.
• Take the lead in developing database management system across projects' life cycle (especially MRV database).
• Team Leadership and Management:
• Support Program Development & MRV Manager in talent acquisition for GIS-RS & Database Division.
• Technically supervise, manage, and mentor a team of GIS & RS specialists and Database specialist.
• Stakeholder/Partner Engagement:
• Support Program Development & MRV Manager in identifying with potential partnerships with external stakeholders (in relation to GIS, remote sensing, and database).

Qualifications:

• Candidates should possess at minimum a Bachelor's Degree in Geography, Forestry, Environmental Science, Geodetic Engineering/Geomatics, Data Analytics, or similar field. Master's Degree is preferred.
• Minimum 8-10 years of professional working experience in GIS and Remote Sensing in the field of forestry, environmental science, or related field.
• Knowledge of forest mapping and monitoring; knowledge of REDD+ and ARR mapping using GIS required.
• Demonstrated ability to use GIS and remote sensing analytical software (such as QGIS, ArcGIS, ERDAS, ENVI, Global Mapper, etc.) for image processing and analysis.
• Experience in programming and cloud environments (Google Earth Engine, etc.).
• Experience with field data acquisition technologies (e.g., drone, UAV, LiDAR, etc.) is preferred.
• Experience working with cross-functional teams, managing complex projects, and delivering high-impact results. Self-starter with excellent organizational skills.
• Strong analytical and technical writing skills; extreme attention to detail.
• Professional experience in project management and project reporting.
• Demonstrated professional-level fluency in Bahasa Indonesia and English is required.
• Ability to travel to project sites, as required.
• Knowledge and prior experience with AFOLU project development under Verra, Gold Standards, among others, preferred.

• Lead the interpretation and analysis of remote sensing data (e.g., multispectral, hyperspectral, radar) for mineral exploration.
• Develop and refine methodologies for identifying geological features and alteration zones indicative of mineralization.
• Integrate remote sensing data with other geological datasets (e.g., geophysical, geochemical, well logs) to create comprehensive exploration models.
• Manage and mentor a team of geoscientists involved in remote sensing projects.
• Collaborate with field geologists to plan and optimize exploration programs based on remote sensing interpretations.
• Stay current with the latest advancements in remote sensing technology, software, and geological applications.
• Prepare detailed technical reports and presentations for management and stakeholders.
• Contribute to strategic planning for exploration projects and resource evaluation.
• Ensure data quality, accuracy, and proper documentation of all remote sensing analyses.
• Foster innovation and efficiency in the application of remote sensing techniques within the exploration department.

• MSc or PhD in Geology, Earth Sciences, or a related field with a strong specialization in Remote Sensing or Geoinformatics.
• Minimum of 8 years of relevant experience in mineral exploration, with at least 5 years focused on remote sensing applications.
• Proven expertise in processing and interpreting various forms of remote sensing data using industry-standard software (e.g., ERDAS Imagine, ENVI, ArcGIS, QGIS).
• Strong understanding of geological principles, mineral systems, and exploration geochemistry.
• Experience with programming languages like Python for data analysis and automation is highly desirable.
• Demonstrated ability to lead technical teams and manage complex projects remotely.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to effectively communicate complex technical information.
• Ability to work independently and collaboratively within a distributed team environment.
• Experience with machine learning and AI applications in remote sensing for geological mapping is a significant advantage.