CLASS Metadata and Remote Sensing Extensions CLASS Data Provider’s Conference September 2005 Anna Milan, Ted.Habermann,

General overview of metadata and CLASS Details of the Remote Sensing Extensions

Metadata Team Data Provider Direct Users Archive Metadata Manager Data Manager Designated Users FGDC Standard Metadata Content with Remote Sensing Extensions FGDC Standard Metadata Content with Remote Sensing Extensions

Subject – Standard metadata vs disparate resources

Standard Metadata Standardized metadata is critical to preserving the usefulness of data over time Standards provide a common set of terms Ensure usability of data for communities that know and understand the standards Enables communities to archive, search and access information easily

From Disparate Resources to Standardized Content Disparate resources of metadata are available for NESDIS missions, satellites, sensors, and products CLASS metadata gathers existing resources and organizes the information in a standard way

Different Resources Have Different… Organization of Information Terminology Intentions Content Resource Locations

Standardized Metadata From Distinct and Different Resources to Standardized Content In One Location White Papers Websites Data Providers Books User’s Guides

Existing Satellite Metadata Systems NOAA Polar Orbiter User’s Guides The classic source for information about NOAA's satellites, the instruments they carry, and the data that are available from those instruments NESDIS Satellite Product Database A database that relates satellites, instruments, products, POPs and scientific disciplines Level 1B Notices

Granule Level Metadata Systems CLASS Inventory/File System Granule level metadata for all CLASS data - except IPD and Pathfinder Products which are stored in the Informix database DMSP The DMSP archive at NGDC stores granule level metadata ETL TOVS Orbit Summaries A time series of simple statistics for each channel and orbit of TOVS that provides long-term quality information This is a granule level system Level 1B File Headers Granule level information for satellite data.

Metadata and CLASS

32 Collection Level Metadata Records Published

CLASS is leading… Only provider of FGDC compliant metadata with RSE Only organization in NESDIS populating website content directly from FGDC metadata records

Intro to RSE

Remote Sensing Extensions (RSE) Define content standards for metadata that describe data obtained from remote sensing activities RSE are directly applicable to NOAA satellite products Fulfill a need that was not addressed by the original FGDC metadata content standards Content Standard for Digital Geospatial Metadata – Extensions for Remote Sensing Metadata Published in 2002

Spatial Reference Distribution Information Metadata Reference Information Metadata FGDC and Remote Sensing Extensions Base Standard Identification Information Data Quality Spatial Data Organization Entity & Attribute Information RSE Standard Instrument Information Mission & Platform Information RSE

Spatial Reference Distribution Information Metadata Reference Information Metadata FGDC and Remote Sensing Extensions Base Standard Identification Information Data Quality Spatial Data Organization Entity & Attribute Information RSE Standard Instrument Information Mission & Platform Information RSE

RSE in Identification Information

Identification Information Tells what the dataset is Supports simple data discovery processes

Identification Information Unique Dataset Identifier Documentation Spatial Domain Processing Level Platform and Instrument Identification Band or Thematic Layer Identification Aggregation Information

Identification Information Unique Dataset Identifier Documentation Spatial Domain Processing Level Platform and Instrument Identification Band or Thematic Layer Identification Aggregation Information

ID Info > Unique Dataset Identifier

ID Info > Documentation Provides information and links for further resources about the dataset Dictionaries User Guides Science Papers

ID Info > Documentation examples Data Dictionary NOAA KLM User's Guide, Acronyms and Abbreviations Canadian Centre for Remote Sensing (CCRS) Glossary Database User’s Guide NOAA KLM User's Guide Science Paper Operational Aerosol Observations (AEROBS) from AVHRR/3 On Board NOAA-KLM Satellites

ID Info > Platform and Instrument ID Example from NMMR interface

RSE in Data Quality

Data Quality General assessment of the quality of the dataset Completeness and accuracy of dataset Positional accuracy Lineage

Data Quality General assessment of the quality of the dataset Completeness and accuracy of dataset Positional accuracy Lineage

Data Quality > Lineage > Process Step Process Step in the Lineage is expanded to include Algorithm Information Processing Information Process Step InputOutput Processing Information Algorithm Information Ancillary Input

Process Step Example from Aero100 AVHRR GAC AVHRR GAC Over Sea Processing Information Algorithm Information Land/Sea Tag Land/Sea Test

Data Quality > Lineage SATPROD is a resource for information about the input data and ancillary data

Data Quality > Lineage > Process Steps SATPROD database provides information about the lineage of the dataset

Platform and Mission Info

Platform and Mission Information Mission is the program of which the data collection was a part of N-POES Platform is where measurements that produced the data are from satellites, boats, planes Mission Name: Description: Mission Start Date: History: Significant Event: Mission End Date:

Mission History > Significant Events

Platform Information Sponsor Description Orbit Flight Protocol

Platform > Orbit Information CelesTrak: NORAD Two Line Element Set Format (TLE) For a given date and time orbital information is available for every satellite NOAA U 00055A

Instrument Information

Instrument Type ex: scanner or sounder Operational Mode ex: crosstrack Collection Type ex: frame, pushbroom, whiskbroom Sensor Orientation Position of instrument components on platform Frame Camera, Scanner or free text Details of how instrument gathers information

Instrument Information example

Standardized CLASS Metadata is Good It will benefit current and future communities CLASS implementations of the FGDC Metadata is cutting edge Feedback and support for the metadata content of satellite data is highly encouraged