T/CARSA 4.1-2026 Remote Sensing Product Algorithm Evaluation Part 1: Evaluation Process

Scope

This document specifies the basic requirements, operational procedures, and evaluation reports for the evaluation of remote sensing product algorithms. This document applies to the evaluation of remote sensing product algorithms, and other disciplines' algorithm evaluations can also be carried out with reference to it. With the development of remote sensing technology and its increasing application, remote sensing product algorithms have gradually become widely used in product production. In order 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 formulate scientific and unified evaluation standards for remote sensing product algorithms. Algorithms are the core of remote sensing products. A comprehensive evaluation of algorithm performance can help improve algorithm accuracy and product quality. By establishing a comprehensive evaluation system and indicator measurement methods, standardizing evaluation methods and procedures, remote sensing product evaluators can have a basis to follow 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/CARSA 4-2026 "Evaluation of Remote Sensing Product Algorithms" aims to establish universally applicable procedures and implementation steps for the evaluation of remote sensing product algorithms, and is proposed to consist 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 build an evaluation indicator system and its measurement methods for remote sensing product algorithms. — Part 3: Algorithm Ev

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