Earth Observation Change-detection Starter Kit

On Sale

£99.00

Added to cart

Preview

Learn a reproducible change-detection workflow with synthetic data.

Run an offline two-date vegetation-index comparison and review the results using explicit masks, validation labels and recorded assumptions.

What this pack helps you do

Run the included Python example on aligned synthetic red/NIR CSV samples.
Review pixel results, a summary and a supplied scene preview.
Document the scene contract, validation evidence and change-review decision.

What’s included

Editable XLSX workbook with Validation, Scene Contract sheets, clean working areas and separate fictional examples.
Offline PDF and editable HTML guide, text decision record, quick-start instructions, licence terms and file manifest.
Detailed working record to support the workbook review.
Offline Python change-detection script, synthetic scene CSV, pixel results, summary and SVG scene preview.

Digital ZIP download · Bright visual edition 0.4 · £99 including VAT.

Includes 3 hours of MGCA assessment

30 minutes preparation review, one 90-minute remote workshop, and 60 minutes written findings and action planning. This is 180 consultant minutes in total.

Bring: One analysis use case, data provenance, processing outline and a labelled sample/results summary.

Receive: An evaluation gap brief and a prioritised validation/data-quality plan.

Book through sales@mgca.co.uk with your order reference. Remote delivery in English, up to three participants, by mutual agreement. Redeem once per qualifying product licence/order; no redemption expiry. Full submission limits, eligibility and booking terms are supplied in MGCA_Assessment_Service.pdf.

Implementation, live-system changes, certification and unlimited follow-up are excluded. Further services are optional, separately scoped, priced and agreed. This assessment is additional to supplied-file defect support.

Who it’s for

Earth-observation learners and analysts practising an offline synthetic change-detection workflow.

Software and compatibility

Open with: Spreadsheet application; Python 3.10+ for local example.

LibreOffice native example and adverse-input tests passed on disposable copies. Microsoft Excel desktop and supplied HTML browser rendering remain unverified.

Run the worked example in your target spreadsheet application before operational use. No macros, external workbook links or paid service calls.

HTML guide works offline in a browser. Local examples require Python 3.10 or later, standard library only; no credentials, network or paid backend.

Scope and limits

Supports aligned CSV red/NIR samples only; no GeoTIFF reader, GIS reprojection, automatic cloud mask, live imagery or real-world classifier is included.
Negative real reflectance and sensor-specific processing require a reviewed preparation method before use; the supplied bounded synthetic workflow accepts 0–1 reflectance.
No geographic coordinates or real scene rights are implied.

Licence and support

Seller: MGCA Ltd. Bright visual edition 0.4.

One purchasing organisation may copy and adapt supplied files for its internal projects, including contractors working for that organisation only. No blank-pack resale, redistribution, sublicensing or use for other client organisations.

Client-delivery licensing requires a separate agreement.

File-defect support: sales@mgca.co.uk for corrupt downloads, missing files or defects in supplied files. File-defect support excludes consulting, customisation, project review, deployment, safety/security certification, legal advice, response-time commitment or future-update entitlement.

Statutory rights are preserved.

Original synthetic examples and source code are supplied under this same internal-use licence. External background links confer no third-party software or data rights and do not indicate endorsement.

No platform subscription, customer system access or implementation service is included.