LULC & Morphology Maps 2006-24 India -- 2

@mahwishmuzammil

Hi, I saw your job post and read discription clear fully, I can do this very efficiently. I have 13+ year of work experience. Plz chat me for further discussion about your project. Thank you

@GISspecialist23

I am a GIS and remote sensing specialist with over 10 years of experience. I have done several similar works in the past and I will do a good job for you

@brwam5

Hi! I am a GIS and remote sensing specialist with experience in ArcGIS Pro and Google Earth Engine. I can create high-quality maps, NDVI and LULC analysis, satellite image classification, and spatial analysis for your project. I always deliver accurate, ready-to-use results on time.

@lilhygi

Hello, Thank you for the detailed project description. The study is very interesting and closely related to my work in GIS and Remote Sensing. However, producing annual LULC classifications from 2006–2024 with accuracy assessment is a large amount of work. For this budget, I would recommend either focusing on a reduced number of years for the LULC analysis or handling the morphometric terrain layers separately. If you prefer the full LULC history and the 20 morphometric layers, the project scope would require a higher budget to ensure high-quality results and proper accuracy validation. I’m happy to discuss the best way to structure the work so it fits both the timeline and budget. Best regards.

@shahabg1

I will generate high-resolution, year-wise LULC maps from 2006 to 2024, along with change detection analysis. Also Excel sheet, including yearly LULC area statistics and change values. I will also create clear graphical representations for better visualization. If you're interested, I can share a sample of similar work I’ve completed.

@muhammad43567

I am a Geospatial professional with extensive experience in LULC classification and hydrological modeling. Having delivered 60+ remote projects, I am fully equipped to provide the high-accuracy (85%+) 2006–2024 history and the 20 morphometric layers you require for your catchment in Northeast India. My Technical Approach for Your Project: LULC Time-Series (2006–2024): I will leverage Google Earth Engine (GEE) to process Landsat and Sentinel-2 archives efficiently. I’ll use Random Forest or Support Vector Machine (SVM) classifiers to ensure a harmonized legend across all 19 years, delivering the required confusion matrices for each. Morphometric Analysis (20 Layers): Using ArcGIS Pro/Desktop and ERDAS Imagine, I will generate the non-negotiable layers (Slope, TWI, HAND, NDVI, CN Grid, etc.) plus high-value derivatives like Stream Power Index (SPI), Sediment Transport Index (STI), and Curvature. Hydrological Correction: I will ensure the DEM is hydrologically corrected (Fill/Sinks) before deriving the drainage density and distance-to-river metrics to guarantee spatial integrity. Data Standards: All layers will be projected to your specific UTM zone with matched resolution and extent, delivered in a clean File Geodatabase (.GDB). Portfolio & Transparency: Please check my portfolio to see my previous work with satellite imagery and spatial statistics. I am happy to share additional remote GIS and cartographic data from past assessments to prove my accuracy standards.