RockSL:an integrated rock spectral library for better global shared services
作者机构：Department of SurveyingMapping and Remote Sensing ScienceSchool of Geosciences and Info-PhysicsCentral South UniversityChangshaChina Laboratory of Geo-Hazards PerceptionCognition and PredicationCentral South UniversityChangshaChina
出 版 物：《Big Earth Data》 (地球大数据（英文）)
年 卷 期：2023年第7卷第1期
页 面：191-211页
核心收录：
学科分类：0709[理学-地质学] 070901[理学-矿物学、岩石学、矿床学] 07[理学]
基 金：This work was jointly supported by the Key Program of National Nature Science Foundation of China Basic Science Center by the National Natural Science Foundation of China the innovation leading program of Central South University under Grant 506030101 the Talents gathering program of Hunan Province China under Grant People’s Government of Hunan province People’s Government of Hunan province 2018RS3013
主 题：Rocks and minerals data interoperability integrated library geological discrimination characteristic datasets
摘 要：Spectral data of different rocks and minerals usually show different waveforms and absorption characteristics in visible and infrared wavelengths,which allow identification of mineral species and ***,massive spectra of rock/mineral on earth surface were scattered across a variety of spectral libraries world-wide,exhibiting inconsistent data structures and measurement *** advance the data interoperability and the data usability,we collected data and information from six shared libraries with different format and measured field specimen in laboratory to establish an integrated rock spectral library(RockSL).Both the data quality of spectral curves and the integrity of descrip-tive metadata are considered in the integrated RockSL to be pub-lished in GitHub open-source *** contains not only the big spectral dataset of rocks and minerals for data service(*** sharing and retrieval)and geological discrimination,but also the characteristics dataset of key parameters/metadata(*** size,mineral composition and full-band signature,etc.)for explora-tion of data mining and knowledge *** hope that more researchers will join to improve the availability and practical value of RockSL for remote sensing *** article introduces the database structure and data processing workflow,and demon-strates a matching service and several examples of characteristic datasets of RockSL.
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