Synthetic case explorer

AsterVale Atlas

Explore a fictional observation basin

Seven environmental indicators across synthetic study areas.

Explore the evidence

Select a precomputed synthetic case, inspect input assumptions and download its JSON evidence or result CSV.

Open AsterVale Atlas explorer →

What this edition demonstrates

Area and cloud filtering followed by descriptive monthly statistics.

Summary projection only; no real imagery, measurements or emissions certification.

The public website hosts a read-only synthetic projection. The full authenticated source application and its Git history are maintained privately.

All fixtures are fictional. No sign-in, customer records, operational writes or paid external model calls are involved.

Publication notices · Application metadata

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MATHEMATICAL SPECIFICATION & UNITS

Governing Equations, Inputs, Outputs & Dimensional Conventions

AsterVale Atlas executes deterministic client-side calculations in the browser. Every scenario is governed by explicit mathematical formulations and unit checks:

NDVI = (NIR − Red) / (NIR + Red); Filtered Subset S = { r ∈ D : Date(r) ∈ [t_0, t_1] ∧ Area(r) = A ∧ Cloud_Pct(r) ≤ C_max }

Declared Units & Arithmetic Conventions: Cloud cover threshold in %; spectral indices (NDVI, NDWI, EVI, etc.) dimensionless in [-1, 1]; observation counts in integer rows.

Scope & Operational Boundary: Seven-indicator environmental comparison across synthetic study areas. Illustrative indicators; not measured field evidence or certified environmental assessment.

Launch Interactive AsterVale Atlas Runtime → · Read Full Methodology & Validation Notes → · Download JSON Dataset (run/catalog.json)

REPRODUCIBLE WORKED EXAMPLE & BENCHMARK TABLE

Verified Case Study & Held-Out Reference Table

Worked Verification Case: Case 1 (Area = 'West Meadow', Indicator = NDVI, Max Cloud Cover = 35%): Sequential date → area → cloud filtering retains 179 valid synthetic observation rows, yielding sample Mean NDVI = 0.4534 and Median NDVI = 0.5182 with mutually exclusive exclusion counts.

Reproducible benchmark scenarios shipped in the AsterVale Atlas browser edition (Synthetic / Precomputed Evidence)
Case ID	Study Area	Indicator	Max Cloud (%)	Selected Rows	Mean Index	Median Index
Case 1	West Meadow	NDVI	35%	179	0.4534	0.5182
Case 2	North Ridge	NDVI	20%	142	0.5120	0.5410
Case 3	Delta Marsh	NDWI	35%	168	0.3190	0.3345

PROCEDURAL USAGE GUIDE

How to Use AsterVale Atlas in 3 Reproducible Steps

Select a Baseline Scenario or Practice Module: Open the interactive browser runtime and choose one of the shipped synthetic presets or diagnostic modules to load its verified input parameters and unit declarations.
Inspect Intermediate Traces & Constraints: Review the computed ledger, error diagnostics (MAE/RMSE/margin/balance checks), or bilingual explanations alongside the governing equations documented on khanio.co.technology/methodology/.
Export Portable Evidence (JSON / CSV): Export your scenario results, assumptions, or local study plan as a self-contained JSON or CSV file for offline verification and local re-import.

FREQUENTLY ASKED QUESTIONS

Methodological & Boundary FAQs

What mathematical model and units does AsterVale Atlas use?

AsterVale Atlas applies NDVI = (NIR − Red) / (NIR + Red); Filtered Subset S = { r ∈ D : Date(r) ∈ [t_0, t_1] ∧ Area(r) = A ∧ Cloud_Pct(r) ≤ C_max }. Units: Cloud cover threshold in %; spectral indices (NDVI, NDWI, EVI, etc.) dimensionless in [-1, 1]; observation counts in integer rows.

What are the operational boundaries and limitations of AsterVale Atlas?

Seven-indicator environmental comparison across synthetic study areas. Illustrative indicators; not measured field evidence or certified environmental assessment. All computations run deterministically in the browser on synthetic or precomputed demonstration fixtures.

How can I reproduce the benchmark results in AsterVale Atlas?

Open the interactive browser workspace at ./run/, select Case 1 to inspect the worked result (Case 1 (Area = 'West Meadow', Indicator = NDVI, Max Cloud Cover = 35%): Sequential date → area → cloud filtering retains 179 valid synthetic observation rows, yielding sample Mean NDVI = 0.4534 and Median NDVI = 0.5182 with mutually exclusive exclusion counts.), and export the JSON or CSV evidence ledger.

PROVENANCE, ATTRIBUTION & RESEARCH ECOSYSTEM

Engineering Attribution & Interconnected Research Hub

Authored and maintained by Mohammad Rezwan Khan, PhD (Aalborg University · BESS QA/QC & Power Systems Specialist). Canonical URL: https://khanio.co.technology/environmental-indicators/ · Source revision: verified-rel · Runtime SHA-256 prefix: verified-sha256 · Repository provenance: https://github.com/mohammadrezwankhan/astervale-atlas (private source engine; public deterministic browser projection).

Application Metadata (app.json) · AI / LLM Discovery Guide (llms.txt) · Full Technical Corpus (llms-full.txt) · Semantic Knowledge Graph (knowledge-graph.jsonld)