Telangana LULC GeoJSON Needed -- 2

@gopijogu

Hi, I have read the project details and am interested in assisting with the creation and delivery of a high-resolution Telangana land-use and land-cover (LULC) GeoJSON dataset. I am a GIS Analyst with 10+ years of professional experience in geospatial analysis, spatial data processing, mapping, 3D spatial understanding, and location-based analysis. I have extensive experience working with QGIS, ArcGIS Pro, Python, Google Maps, satellite imagery, spatial datasets, and managing large-scale geospatial workflows. For this project, I can support you with: * Compiling or digitizing high-resolution LULC polygons at field-level granularity across Telangana * Clipping and validating the dataset against the official Telangana state boundary * Assigning standardized LULC codes and clear class names for each polygon feature * Delivering the final dataset as a clean, topology-validated GeoJSON file in WGS-84 (EPSG:4326) projection * Ensuring geometry integrity by removing duplicates, slivers, and self-intersections * Providing metadata on source data, date of capture, and processing methodology for quality assurance My approach combines satellite imagery interpretation with existing authoritative government layers, ensuring accurate, up-to-date, and well-structured land cover data. This will enable you to load and analyze the dataset immediately in QGIS or Python geopandas without further processing. I am available for an initial discussion to understand your precise requirements and define the next steps. Thanks, Jogu

@shadabkhan92

As someone who has a strong background in Artificial Intelligence, Python and GIS, I am confident that I am uniquely qualified to deliver on your Telangana LULC GeoJSON project. Over the years, my focus has been on building AI systems that work seamlessly within existing workflows and I'm experienced in processing large spatial datasets and transforming them into desired formats. In terms of your specific requirements, my expertise lies in data processing and analysis. I am fully adept at working with satellite imagery, government layers, and extracting useful data from them leveraging Python's geopandas library. This will ensure a high level of accuracy and precision for every polygon delineated in the GeoJSON file. Another advantage of working with me is my comprehensive understanding of geospatial data projection systems like EPSG:4326. With this knowledge, you can rest assured that the final file will be delivered in the most convenient format for your use case (QGIS or Python geopandas). Overall, with my unique blend of AI-centric approach, deep understanding of Python programming, proven expertise in GIS, and adaptability to working with different systems and hardware components - I believe my skills make me an excellent fit for your project. Let's collaborate and transform your vision into reality!

@emmanuelsan15

Hi, I'm a geologist with a postgraduate degree in GIS and advanced certification in ArcGIS. I'm an expert in cartography and spatial analysis. I possess data processing skills that allow me to perform complex analyses and obtain accurate results. I have experience in land use planning and cadastral management. I'm proficient in various software such as ArcGIS Pro, ArcMap, QGIS, Global Mapper, and Google Earth Pro. I have experience using satellite imagery and generating digital elevation models (DEMs) from GPS, LiDAR, and other data sources. I'm an expert in data processing and digitization. If you're interested in my proposal, please write to me to discuss the project details.

@codeandcommand

What year and classification scheme do you need for the Telangana LULC data? Bhuvan and USGS have different coverage windows, and the output format depends on which source we pull from. I can process this in Python, clean the geometries, and deliver GeoJSON within 2 days. The bid reflects what is in the description and will settle once we confirm the source and output specs. Available to start today. Let me know and I will send a plan.

@InoovativeThink

Hi, I read through your project for Telangana LULC GeoJSON Needed -- 2. You need help with telangana lulc geojson needed -- 2. I can build and deliver this efficiently based on the job requirements. This fits well with my experience in Geographical Information System (GIS). I build Python automation tools, scraping workflows, and API-based systems with clean delivery and fast turnaround. I can take what you outlined and turn it into a clean final delivery, with attention to Geographical Information System (GIS) and the details in your brief. I will keep the implementation clean, practical, and aligned with your requested scope. Send me the details and I can start immediately.

@rahulsimraiya131

Rahul here, I can help source, validate, and prepare a Telangana-wide LULC GeoJSON dataset with clean geometries, standardized attributes, EPSG:4326 projection, and compatibility with QGIS and GeoPandas. The dataset will be quality-checked for topology issues, clipped to the Telangana boundary, and delivered with clear metadata on source, processing, and classification methodology. Ready to start immediately.

@fsaleem87

Hi, I can build a clean, research-ready field-level LULC GeoJSON for Telangana suitable for direct use in QGIS and GeoPandas. My approach: • Use Sentinel-2 / Landsat satellite imagery + ESA WorldCover baseline • Clip accurately to official Telangana boundary • Perform object-based segmentation for field-level polygon extraction • Classify land use (cropland, water, built-up, forest, barren, etc.) with standardized LULC codes • Clean topology (remove overlaps, slivers, invalid geometries) • Ensure EPSG:4326 (WGS84) GeoJSON output, fully GIS-ready Deliverable: • Single optimized GeoJSON file • LULC attributes (code + readable class name) • Clean geometry validated for QGIS/GeoPandas • Optional QA notes with methodology and accuracy limits I can also align the output resolution based on your required accuracy vs processing scale before starting to ensure the dataset matches your study needs.

@bjornvdl

I can add value to your project by creating a well-structured GeoJSON file for Telangana. Delivering high-resolution polygons with detailed LULC codes and names, adhering to WGS-84 projection for seamless integration. While I am new to freelancer, I have tons of experience and have done other projects off-site. I would love to chat more about your project! Regards, Bjorn van der Linden

@DavidArrublaLara

I understand you need a comprehensive, field-level LULC dataset for Telangana in GeoJSON format. I have expertise in geospatial analysis, Python scripting (GeoPandas, Rasterio, GDAL), and GIS data processing. My approach: 1. Source verified LULC data from authoritative sources (Sentinel-2 imagery, government datasets) 2. Process and classify data to field-level granularity using Python 3. Clip to official Telangana boundaries (WGS-84, EPSG:4326) 4. Assign standardized LULC codes and descriptive class names 5. Validate topology and geometry integrity 6. Deliver clean GeoJSON compatible with QGIS and GeoPandas I will provide documentation of sources, methodology, and quality checks. Ready for fast turnaround with post-delivery adjustments if needed.

@MrFabioNunes

HI my name is Fabio. I am from South Africa and I am 25 Years old. I have been in the industry for 5 years. Your ad has caught my eye and I look forward to the opportunity. With strong communication, high-quality work being my priority I am confident in my ability to meet your expectations and contribute to your projects success. I am reliable and will set out timelines and milestones that will be achieved on time. I look forward to bringing your visions into reality. I have extensive experience in creating precise GeoJSON files for land-use and land-cover studies. I assure you of a complete boundary dataset for Telangana, meeting your requirements of high-resolution polygons with detailed attributes in WGS-84 projection. My process involves meticulous digitization to ensure clean geometry and accurate LULC classification. I am well-equipped to handle the project efficiently and deliver exceptional results within your timeframe. Let's collaborate to bring your study to fruition seamlessly.

@satyajitc4

I am a GIS Specialist with 2+ years of experience in GIS, Remote Sensing, Land Use/Land Cover Mapping, and spatial database management. I have worked extensively with QGIS, ArcGIS, Google Earth Engine, Python (GeoPandas, Shapely, Rasterio), satellite imagery, and large geospatial datasets. I can deliver a clean, analysis-ready GeoJSON dataset covering the entire state of Telangana, clipped to the official state boundary and provided in WGS84 (EPSG:4326) format. The dataset will be structured for direct use in QGIS, GeoPandas, and other GIS platforms without any additional conversion. I have experience handling large-scale environmental, forestry, and land management datasets and can provide complete documentation of data sources, processing methodology, classification schema, and accuracy considerations. I understand the importance of clean geometry and consistent attributes for downstream analysis and will ensure the final deliverable meets professional GIS standards. I am available to discuss data sources, update year, accuracy requirements, and turnaround time. Looking forward to working with you.

@NAV2maps

I made LULC of my district and Uttrakhand during my term paper by using software ArcGIs Map 10.5 ....After that the 2025 LULC map is cross check by esri in which Agriculture land in my LULC and esri Agriculture land is approximately same..which shows the clarity and more accurate LULC made by me.

@sanouezekiel226

Hello, I can deliver a validated Telangana LULC GeoJSON dataset ready for QGIS and Python geopandas, clipped to the official state boundary and provided in WGS-84 EPSG:4326. I will use a Sentinel-2 multi-season classification workflow with Sentinel-1 SAR and SRTM DEM refinement to generate high-resolution land-cover polygons. The analysis will cover Kharif 2024 and Rabi 2024–25 seasons using Google Earth Engine processing. The GeoJSON will include: * LULC code and class name * Polygon geometry * Area (ha) * Season category * Classification confidence Classes include cropland (Kharif/Rabi/double-season), fallow land, forest, scrub, built-up, water, and barren areas. Workflow: * Sentinel-2 L2A 10 m imagery with seasonal median composites * Random Forest classification using spectral, NDVI, and SWIR features * Raster-to-vector conversion * Geometry repair, sliver removal, and topology validation * Final QA through accuracy assessment and visual checks Deliverables: • Telangana LULC GeoJSON • Accuracy report • Processing documentation • LULC legend Note: this is a satellite-derived LULC dataset, not legal cadastral parcel boundaries. It represents land-cover patterns suitable for agricultural, environmental, and planning analysis. I can deliver a clean, GIS-ready dataset following a reproducible remote sensing workflow.

@JuanVel15

Hello, I can provide a complete GIS workflow to compile, validate, and deliver a field-level Land Use/Land Cover (LULC) dataset for the entire state of Telangana in a single GeoJSON file (EPSG:4326), ready for use in QGIS, GeoPandas, and other GIS platforms. My approach includes: • Acquisition and evaluation of the most recent available government and remote sensing datasets. • Extraction and processing of field/parcel-level polygons where available. • Clipping and validation against the official Telangana state boundary. • Standardization of LULC attributes with both machine-readable codes and human-readable class names. • Topology and geometry validation to remove duplicates, self-intersections, slivers, and invalid geometries. • Delivery as a clean GeoJSON dataset in WGS84 (EPSG:4326). Quality control will include geometry validation, attribute consistency checks, and sample overlay verification to ensure reliable results for spatial analysis and modeling. Before starting, I will confirm the most appropriate data source and its update date so that the final dataset meets your required accuracy and coverage standards. I have experience working with GIS datasets, spatial data processing, vector data cleaning, GeoJSON generation, and quality assurance workflows using QGIS, Python, and geospatial analysis tools. I can provide a fast turnaround and maintain communication throughout the project. Thank you for your consideration.

@InzachSolutions

I have a strong background in GIS, geospatial data processing, Python, and GeoJSON generation. I understand LULC mapping, coordinate reference systems, topology validation, and data cleaning. My focus is on delivering accurate, well-structured, and ready-to-use datasets that can be directly used in QGIS and GeoPandas, ensuring high quality and a fast turnaround.

@dekarnldy

Hello, Thank you for sharing the project requirements. I have experience working with GIS, especially land-use/land-cover. For this project, I can compile and deliver a clean, state-wide Telangana GeoJSON dataset in WGS84 (EPSG:4326), clipped to the official state boundary. I will use government datasets and cloud-based satellite imagery to ensure the highest possible accuracy and field-level detail. I am committed to delivering a well-organized, analysis-ready dataset within the agreed timeline and would be happy to discuss specific accuracy requirements, data sources, and validation criteria before starting. I look forward to contributing to your project.