Which of the following statements correctly describe the technological and policy constraints of using Space-based Synthetic Aperture Radar (SAR) and Edge AI for global carbon accounting under frameworks like REDD+?
Select all that apply.
["A","B","D"]
Step-by-Step Solution
Key idea: This is a statement_truth (MSQ) question synthesizing SAR satellite physics, Edge AI constraints, and REDD+ policy verification.
Step 1: Evaluate Option A. L-band SAR (like NISAR) uses longer wavelengths that penetrate cloud cover and vegetation canopies to interact with tree trunks and large branches, providing accurate biomass estimates in tropical regions where optical sensors are blinded by clouds. This is correct.
Step 2: Evaluate Option B. Edge AI processes data in orbit, but models degrade over time and need retraining. Uplinking large model weights to satellites is severely constrained by limited RF bandwidth compared to terrestrial fiber. This is correct.
Step 3: Evaluate Option C. Carbon markets (including REDD+) require rigorous MRV (Measurement, Reporting, and Verification) by accredited third parties. AI estimates alone are not legally binding and cannot bypass ground-truth inventories. This is false.
Step 4: Evaluate Option D. During solar maximum, the Earth's upper atmosphere expands, increasing drag on LEO satellites. This accelerates orbital decay and requires propellant for station-keeping. This is correct.
Answer: Options A, B, and D are correct.