About us

Service Overview

We start exactly where you need: precise problem definition, selecting appropriate data, and delivering actionable outputs. The final objective is always an implementable result. Our workflow is summarized below:

Our Specialized Services — Technical details & outputs

• learning remote sensing

  We cover the learning path from basic remote sensing to practical implementation: working with satellite data, preprocessing (cloud masking and geometric/atmospheric correction), temporal filtering, and computing spectral indices such as NDVI, SAVI, and NBR.

• Spatial analysis & monitoring (time series)

  Time-series analyses that are part of the learning remote sensing path; using Sentinel and Landsat datasets to detect change, estimate trends, and extract spatial indicators for natural resources and water management. Methods include time-based change detection and regional trend analysis.

• Mineral prospectivity & exploration (polymetallic)

  Integrating spectral indices, structural layers, DEM, and geochemical data to produce prospectivity maps. The process includes data normalization, weighted-criteria combination, and validation with field data or existing reports.

• Modeling, machine learning & processing automation

  Data preparation, training classification models (Random Forest, SVM, and lightweight neural networks), quality assessment (confusion matrix, Accuracy, F1, Kappa) and implementing automated workflows with Python and Google Earth Engine for batch or scheduled processing.

Our Experience

We have collaborated with government agencies, private companies, and universities on environmental monitoring, precision agriculture, water resource management, and exploration projects. Our experience shows that combining training and learning remote sensing accelerates teams toward scientific and operational outcomes. We focus on delivering decision-ready outputs: desktop-ready maps, managerial reports, and automation scripts.

Project examples

• Land use change monitoring: Time-series analysis of Sentinel-2 and Landsat, producing annual change maps and trend reports with regional statistics.
  Deliverables: GIS layers, printable raster maps, change tables, and a summary PDF report.
• Vegetation health and water demand analysis: Combining NDVI with in-field harvest data to create a spatial water-demand index and prioritize fields.
  Deliverables: Field zoning by water demand, a simple dashboard, and operational guidelines for irrigation management.
• Mineral prospectivity mapping: Integrating spectral indices, structural analysis, and DEM to produce prospectivity maps.
  Deliverables: prospectivity raster/vector, prioritized sampling point layers, and methodology report.
• Processing automation & reporting: Building Python/GEE scripts that periodically process imagery and generate GIS/CSV/PDF outputs.
  Deliverables: executable script, installation guide, and scheduling instructions (cron / cloud trigger).

We support students from topic selection through thesis writing and learning remote sensing, including dataset preparation, method design, algorithm implementation, validation, and writing the scientific report.

How to get started?

Getting started is simple: fill out the needs-assessment form. After an initial review, we provide a practical plan including scope, required data, and proposed deliverables; then timeline and collaboration details are agreed from initial design to final delivery.

Initial information that helps us quickly

• Project objective: Short description of the goal (e.g., "urban vegetation monitoring" or "mineral prospectivity mapping").
• Geographic extent: Coordinates, county/province boundary, or a boundary file (if available).
• Desired time range: Years/months to be analyzed or the monitoring period.
• Available data: Do you have field data, sampling stations, or specific images? (optional but very helpful)
• Preferred deliverables: e.g., GeoTIFF map, GIS file (GeoPackage/Shapefile), PDF report, runnable notebook, or automation script.
• Budget range or contract preference

Complete the contact form — you will receive an initial technical reply and a proposed plan within 48 business hours.