Satellite Imagery Processing & Remote Sensing Services
Monitor large areas without visiting every corner: land cover, year-to-year change, vegetation condition, and flood extent — processed from satellite imagery with clear accuracy assessment.
Large Areas, Regular Monitoring
Field surveys give detail but become expensive when they must cover thousands of hectares or be repeated every year. Satellite imagery fills that gap: one scene covers a large area, and its archive lets us look back over many years. We turn imagery into usable information — maps, area figures, and trends — not just colourful pictures.
What We Deliver
Land-cover & land-use classification. Mapping forest, plantations, paddy fields, settlements, water bodies, and bare land with supervised or object-based classification, following the class scheme you need.
Multi-temporal change detection. Comparing two or more years to reveal land conversion, clearing, settlement growth, or shoreline change — complete with a per-class change matrix.
Vegetation & water indices. NDVI, NDWI, and derived indices to monitor crop health, drought, and water bodies, including time series per plantation block or per region.
Radar imagery (SAR). For areas that are often cloud-covered — common in Indonesia — radar can still record the surface. Among other uses, we apply it to map flood extent.
Image pre-processing. Radiometric and geometric correction, cloud masking, mosaicking, and clipping to boundaries, so the imagery is ready for further analysis by your team.
Imagery Sources
Most needs can be met with open imagery such as Sentinel-1, Sentinel-2, and Landsat at 10–30 metre resolution. High-detail needs — mapping individual buildings or tightly packed plantation boundaries — call for commercial high-resolution imagery or drone aerial photos. We help choose the source that best balances detail, cost, and time, including telling you when free imagery is enough.
Accuracy That Is Tested, Not Assumed
A classified map without an accuracy assessment is hard to defend. We test results against reference samples — from higher-resolution imagery or field checks — and report overall accuracy, per-class accuracy, and the kappa coefficient, so you know how far the area figures in your report can be trusted.
What You Receive
Frequently Asked Questions
Is free satellite imagery good enough?
For monitoring large areas — regency-level land cover, vegetation trends, or flood extent — open imagery such as Sentinel-2 and Landsat (10–30 m) is usually sufficient. Small objects such as buildings or parcel boundaries need commercial high-resolution imagery or drone photos. We recommend the right option before work begins.
What about areas that are often cloudy?
We combine several acquisition dates and mask clouds to produce a clean mosaic. When that is still not possible, radar (SAR) imagery is used because it records the surface through cloud cover.
How accurate is the classification?
Accuracy depends on image resolution and class complexity. What is certain is that we always test it against reference samples and report overall accuracy, per-class accuracy, and the kappa coefficient, so the figures in your report have a basis.
Can you monitor change year by year?
Yes. Satellite archives allow change analysis going back several years. You receive change maps, a per-class change matrix, and trend charts — and they can be refreshed periodically if you need routine monitoring.
Is fieldwork required?
Not always. For many jobs, reference points can be taken from higher-resolution imagery. When accuracy must be proven on the ground, field checks can be carried out with our survey partners at your location.
