Ray tracing shade mask generation

Knowledge graph centered on Ray tracing shade mask generation with 27 nodes and 94 connections. Top connected: Populus, Populus tremuloides, herbaceous plants, Integrating airborne remote sensing and field camp, leaf water content.

Method synopsis

A custom ray tracing algorithm that generates shade masks for hyperspectral imagery by calculating paths between the sun, ground points, and sensor using solar geometry, sensor view angles, and digital surface elevation models to identify shaded pixels.

Synthesized from method descriptions across 1 paper using this protocol.

Procedure as described in the canonical source

Steps below were extracted from the paper that introduces this protocol — Integrating airborne remote sensing and field campaigns for ecology and Earth system science (2020), Methods in Ecology. Implementations in other papers (listed below) may differ.

1. Shade mask generation
   Generated shade masks using custom ray tracing algorithm that estimates what pixels would have been shaded at time of AOP data collection. Generated by using solar and sensor view angle geometry data in OBS data, IGM data, and digital surface elevation model. Calculates path traced between sun, each point on ground, and sensor, with any point intersecting the surface considered shaded.
   Quantities: All pixels assessed for shading, 0.8 mRad lidar beam divergenceDuration: Post-processing after data collectionConditions: Conservative shading estimates, high shading levels in forested regions
   Equipment: custom ray tracing algorithm, lidar data, digital surface elevation model

Typical Equipment

• custom ray tracing algorithm
• lidar data
• digital surface elevation model

Output Measurements

• pixel-level shade masks
• illumination maps

Papers Using This Protocol (1)

Species Studied With This Protocol