T/CARSA 4.3-2026 Remote Sensing Product Algorithm Evaluation - Part 3: Algorithm Evaluation Interface

Scope

This document specifies the composition of the evaluation interface, integration conventions, and interface requirements for the evaluation of remote sensing product algorithms. This document is applicable to the evaluation of remote sensing data processing algorithms, remote sensing inversion algorithms, and remote sensing application algorithms in remote sensing product production. The evaluation of other algorithms can also be conducted as a reference. With the development of remote sensing technology and its increasing application, remote sensing product algorithms have been widely used in product production. To improve the level of remote sensing product production and ensure the efficiency and accuracy of remote sensing products, it has become an important task for the remote sensing industry to establish scientific and unified evaluation standards for remote sensing product algorithms. Algorithms are the core of remote sensing products. Comprehensively evaluating the effectiveness of algorithms can help improve algorithm accuracy and product quality. By establishing a rigorous and comprehensive evaluation system and indicator measurement methods, standardizing evaluation methods and processes, remote sensing product evaluators will have a basis to rely on when evaluating various remote sensing product algorithms, thereby improving the quality and efficiency of evaluations, promoting the continuous optimization of remote sensing product algorithms, and better serving remote sensing product production. T/CARSA4-2026 "Evaluation of Remote Sensing Product Algorithms" aims to establish universally applicable processes and implementation steps for the evaluation of remote sensing product algorithms, and is composed of three parts: — Part 1: Evaluation Process. The purpose is to provide actionable steps and sequences for the evaluation of remote sensing product algorithms. — Part 2: Indicator System and Indicator Measurement Methods. The purpose is to es

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