Geoespacial Jobs

I want a complete Land-Use/Land-Cover history for the years 2006 through 2024 and a companion set of twenty morphometric layers for a catchment in Northeast India, all prepared in ArcGIS (Pro or Desktop). I have already gathered multi-temporal satellite imagery and several open GIS databases; you are welcome to supplement them if you feel additional scenes (e.g., Landsat 8, Sentinel-2) or DEMs will sharpen the results. The LULC portion should deliver one classified raster for every calendar year, harmonised to a common legend so change detection is straightforward. Overall classification accuracy should reach at least 85 %, and please include the confusion matrices so I can verify them. For morphology I need twenty parameters. Core layers such as slope, drainage density, TWI, NDVI, HAN...

I want a complete Land-Use/Land-Cover history for the years 2006 through 2024 and a companion set of twenty morphometric layers for a catchment in Northeast India, all prepared in ArcGIS (Pro or Desktop). I have already gathered multi-temporal satellite imagery and several open GIS databases; you are welcome to supplement them if you feel additional scenes (e.g., Landsat 8, Sentinel-2) or DEMs will sharpen the results. The LULC portion should deliver one classified raster for every calendar year, harmonised to a common legend so change detection is straightforward. Overall classification accuracy should reach at least 85 %, and please include the confusion matrices so I can verify them. For morphology I need twenty parameters. Core layers such as slope, drainage density, TWI, NDVI, HAN...

I have eight GDB-format geodatabases—about 10 GB each and roughly 140 layers apiece—that need to be merged into one consolidated repository within five days. During the transfer I expect strict validation, with data accuracy as the non-negotiable priority. Here is what I need from you: • Plan and carry out the migration using whatever stack you believe will deliver fastest and safest results (ArcGIS Pro / ArcPy, FME, GDAL/OGR, PostGIS tools, Python automation, etc.). • Run comprehensive checks on geometry, attribute completeness, and spatial reference so that every feature reaches the target store intact and correct. • Produce a brief report summarising the validation steps taken and any fixes applied, plus reusable scripts or workspace files so I can rerun...

I’m planning a full-scale GIS upskilling programme for a cohort of 40 colleagues and need a seasoned trainer who can guide them through both 2D and 3D mapping workflows from the ground up. The end-goal is practical, job-ready skill enhancement rather than formal certification, so every concept must translate directly to day-to-day project work. Scope * Design and deliver a curriculum that balances fundamentals with advanced techniques, moving from basic layer creation through to interactive 3D scene building. * Work with whichever stack you feel is most effective—ArcGIS Pro, ArcGIS Online, QGIS, CityEngine, or complementary tools like PostGIS and Blender—so long as trainees leave able to choose and justify the right tool for a task. * Blend lecture-style explanations wit...

I’m planning a full-scale GIS upskilling programme for a cohort of 40 colleagues and need a seasoned trainer who can guide them through both 2D and 3D mapping workflows from the ground up. The end-goal is practical, job-ready skill enhancement rather than formal certification, so every concept must translate directly to day-to-day project work. Scope • Design and deliver a curriculum that balances fundamentals with advanced techniques, moving from basic layer creation through to interactive 3D scene building. • Work with whichever stack you feel is most effective—ArcGIS Pro, ArcGIS Online, QGIS, CityEngine, or complementary tools like PostGIS and Blender—so long as trainees leave able to choose and justify the right tool for a task. • Blend lecture-s...

I’m commissioning a high-fidelity 3D representation of a single country to support an ongoing scientific research project. Accuracy is critical: the model must reflect real-world elevation data and clearly delineate water bodies as well as current vegetation coverage. Here’s what I need delivered: • A fully textured 3D file (OBJ, FBX or another widely used format) built from up-to-date DEM or LiDAR data. • Distinct, editable layers for terrain elevation, inland and coastal waters, and vegetation zones so I can isolate or combine them during analysis. • A clean, labelled screenshot set that shows overall perspective plus close-ups of key geographic features for verification. I’m flexible on the software you choose—ArcGIS, QGIS, Blender, 3ds...

I need an excel sheet with all buildings in Canada. You are expected to research on the internet yourself. I have provided 1 source below I expect you to put extensive research into other web sources I expect a full list of the sources of data You will eliminate the duplicates and provide a clean human readable results excel sheet. Example. I have an ODB database sourced from the Statistics Canada page ( ) that lists every non-residential building across Canada. I need the entire dataset— every province, every building— exported into a single, clean .xlsx workbook. In addition, I will need to have every Commercial and Residential low, medium and high-rise building in the Country. This data will be sources from the same suite and additional researched sources which ...

I need a detailed marina survey to aid in maintenance planning for an upcoming dredging project. The survey should focus on depth measurements across a medium-sized area (1-5 acres). Key requirements: - Accurate depth measurements - Assessment area: medium (1-5 acres) - Data should be precise and reliable Ideal skills and experience: - Background in surveying or marine engineering - Experience with dredging-related projects - Attention to detail and accuracy

Senior Python Developer – Containerized Geospatial Processing Library (Azure) ​Project Overview: We are seeking an experienced Senior Python Developer with deep expertise in geospatial data handling (GIS) and Docker containerization. The objective of this project is to build a robust, standalone Python library and execution environment that performs standardized geoprocessing tasks on vector and raster datasets. ​The final deliverable must be a highly secure, containerized microservice capable of reading from and writing to Azure Blob Storage, with strict input validation. ​Core Tech Stack: ​Language: Python 3.11+ ​Geospatial Libraries: GeoPandas, Rasterio, Shapely, PyProj, Fiona ​Validation: Pydantic ​Cloud: Azure SDK (Blob Storage, Key Vault, Identity) ​Infrastructure: Docker (Alpi...