Axine Labs
Free / commercial imagery

Clasificación de Prospectividad Distrital

Una superficie de probabilidad a escala de distrito contra la que puede clasificar objetivos, con el esquema de validación cruzada declarado en la capa.

Puntuación regional de probabilidad para sistemas hidrotermales, respaldada por validación cruzada dejando una región fuera.

Clasificación de Prospectividad Distrital
In view

Open-pit iron ore operations. District scores rank ground like this before anyone commits to it.

LO QUE VE EL SENSOR

Qué busca esta capa.

La referencia de laboratorio de cada material, y qué captura de ella el espaciado de bandas del sensor. La banda sombreada marca el rango que lee el método.

0.602.002 µm2.090 µm2.179 µm2.268 µm2.357 µm2.446 µmWavelength (µm)Reflectance
Referencia de laboratorio
Muestreo del sensor
Rango de trabajo
Profundidad de banda0.28
Ancho del rasgo30 nm
Espaciado de bandas7.4 nm

QUÉ ENCUENTRA

Qué detecta.

MaterialEntorno típicoQué puede confundirlo
Hydrothermal Core ComplexesIntrusive centers, volcanic calderas, and porphyry lithocapsExtensive post-mineral volcanic cover
Structural Alteration CorridorsRegional faults, shear zones, and detachment systemsQuaternary colluvium in fault trenches

MÉTODO

Cómo funciona.

Entra reflectancia calibrada, y cada píxel se ajusta contra una biblioteca pública de referencia.

01Step 1

District alteration clustering

Pulls spatial clusters of advanced argillic, phyllic and gossanous pixels out of contiguous scenes.

02Step 2

Leave-one-region-out calibration

Whole geological provinces are withheld during fitting, so a score cannot borrow its evidence from a neighbouring pixel in the same district.

03Step 3

Label permutation as a negative control

Discrimination is retested against randomised occurrence coordinates. A model that scores well on shuffled labels is measuring the sampling, not the ground.

04Step 4

Score generation with provenance

The output is a continuous district score carrying its model version, its input set and its interval. Expert-system features are deliberately kept out of it, so the two engines stay independent.

ESPECIFICACIONES

Qué obtiene, y sobre qué corre.

Valores entregadosDistrict score, floating point, reported to two decimals with its interval
SalidaDistrict evidence surface
Plazo de entregaRuns once the contributing scenes are on disk; area drives the queue, not the model
Formatos
Cloud-Optimized GeoTIFF (COG)Vector Likelihood Contours (GeoJSON)Provenance record (model version, input set, interval)

Condiciones que necesita

Sun angle limit:65°
Cloud cover limit:15%
Vegetation cover limit:40%

Method and checks are documented in Axine Applied Spectroscopy Paper #1 · Section 5.1.

Leer el artículo

Alcance

Ranks where to look first from surface evidence, not what a target holds.