
From forest monitoring to carbon credits, we provide comprehensive solutions powered by satellite imagery and AI technology.
We offer specialized services across forestry, agriculture, soil analysis, and carbon solutions.
By using high-resolution satellite images (<5-meter spatial resolution) and random GPS points collected from ground as sample points to train the model using supervised classification with AI/ML algorithms. Monitoring and mapping of forest canopy density, forest cover area, annual trend of standing biomass and carbon, climatic parameters like rainfall, temperature, humidity etc. will be done and reports will be generated.
By using high-resolution satellite images (optical/SAR data) along with ground plots data, near real-time high resolution standing biomass and carbon map of forest area will be generated. The tree biomass will be estimated using local allometric equations. The models will be validated on ground and reports will be generated.
By using high-resolution satellite images and ground GPS points, LULC maps will be generated. Using time series LULC maps, deforestation/degradation rate will be estimated and reports will be generated.
By using high and coarser resolution satellite images, near real-time forest and cropland fires will be mapped and monitored, and reports will be generated.
By using high-resolution satellite images (<5-meter spatial resolution) and random GPS points collected from ground as sample points to train the model using supervised classification with AI/ML algorithms. Mapping and monitoring of crop types, crop health and crop acreage will be done and reports will be generated.
By using high-resolution satellite images (<5-meter spatial resolution) and random GPS points collected from ground as sample points to train the model using supervised classification with AI/ML algorithms and the randomly collected ground plot data. Standing biomass and crop yield will be estimated and reports will be generated.
By using high-resolution satellite images (optical/SAR data), crop damages occurred due to natural disasters like rainfall, hailstorm and cyclone will be estimated and reports will be generated.
By using Sentinel-2 (10m) satellite data, surface soil carbon and soil moisture mapping will be done. Change detection will be conducted using time series satellite data and comprehensive reports will be generated.
By conducting pilot case studies, RGS collects field data along with climatic and non-climatic data. RGS will submit the feasibility of the project before proceeding to full scale implementation.
By conducting field data collection (GPS/farm boundary), RGS will support checking farm eligibility for ARR and mangrove projects.
RGS will support by selecting the control plots as per the guidelines of the registry.
RGS will support assessment of dynamic baseline using standard vegetation indices and monitor the standing biomass and carbon on ground.
RGS will support by mapping high resolution (<5m spatial resolution) standing biomass and carbon annually.
Our scientific approach and methodology helps accurate and scientifically valued outputs validated on ground which gives maximum value for your projects.
We firstly understand your requirements, objectives and current challenges through detailed consultation
After understanding of objectives, we work on design of methodology and approach followed
We work on the ground data collection after the design of sampling intensity and route plan for ground data collection
Using satellite data and ground data we conduct the AI/ML based analysis and mapping and modeling
After getting the results we validate the results on ground and other published data
After getting the results and completing of ground validation we deliver the comprehensive reports with actionable findings and conclusions
Let's discuss your project requirements and how we can help you achieve your environmental goals.