计算机科学
一套
遥感
软件
模型验证
环境科学
数据挖掘
数据科学
地质学
地理
操作系统
考古
作者
N. Arena,Grace Bato,David Bekaert,Matthew Bonnema,S. Chan,Bruce Chapman,John W. Jones,Alexander L. Handwerger,Alex Lewandowski,Charlie Marshak,Simran Sangha,Karthik Venkataramani
标识
DOI:10.1109/igarss52108.2023.10283397
摘要
We present the validation methodology and results of Dynamic Surface Water eXtent from Harmonized Landsat Sentinel-2 (DSWx-HLS). The DSWx-HLS product is the first of the DSWx suite, comprised of products each which map water from Earth Observation optical and SAR satellites. We detail the generation of high-resolution (3 m) validation datasets from a globally-stratified sample of dry, moderate, and wet sites. We provide the precise accounting of the classification metrics used to verify the Observational Products for End-users from Remote Sensing Analysis (OPERA) project requirements. We also report broader classification metrics across the validation datasets considered. OPERA performs validation in the public domain to ensure that the validation activities are transparent and reproducible. The resulting validation datasets and provisional OPERA products are publicly available; the software used for validation is also open-source.
科研通智能强力驱动
Strongly Powered by AbleSci AI