Abstract

Analysis Ready Data (ARD) has been greatly recommended by the Committee on Earth Observation Satellites (CEOS) for simplifying and fostering long time series analysis at large scale with minimum additional user effort. Landsat ARD has been successfully made and widely used for large scale analysis. Subsequently, the Chinese satellite data similar to Landsat data have been processed and will be processed into ARDs to promote the use of the Chinese satellite data. At the first stage of the mission, the 4 Wide Field Viewing (WFV) data on GaoFen 1 (GF1) covering the whole of China and the surrounding areas have been processed into ARD. The ARD is provided as standard tiles under a common and unified projection with per pixel quality assurance and metadata for tracing back and further processing data, which are finally stored into a Hierarchical Data File (HDF); furthermore, all spectral bands are georegistered and radiometrically cross-calibrated as top of atmosphere (TOA) reflectance and are atmospherically corrected as surface reflectance (SR). Therefore, the ARD can be further used easily to produce land cover and land cover change maps and retrieve geophysical and biophysical parameters.

Highlights

  • IntroductionPublisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations

  • The convention of analysis ready data (ARD) filename is as follows: GF1WFVX.16m.YYYYDAYHHMMSS.51TWL.0000011622.000000.h5 where GF1 refers to the GaoFen 1 mission; WFV refers to the sensor (Wide Field Viewing); since there are 4 WFV sensors, X refers to the number of sensors (1~4 only); 16 m is the spatial resolution; YYYYDAYHHMMSS is the sensor acquisition year, Julian calendar day, and the overpassing time; 51TWL is the gridding code from Military Grid Reference System (MGRS) at scale of 100 km; 0000011622 is the series number inheriting from the original GF1-WFV

  • The level 1A GF1-WFV data have been freely released to the public by Center for Resources Satellite Data and Application (CRESDA) since 2013, the practical uses of the data have been much less than Landsat and Sentinel 2 data, and the major barrier has been the pre-processing of the data

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Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. The extra processing includes georegistration to satisfy the spatial consistency, radiometric calibration to ensure the radiometric consistency, atmospheric correction to remove the influence of the quickly varied atmosphere as much as possible, and per pixel quality control for the exclusion of bad pixels Under this background, analysis ready data (ARD) for remote sensing data was proposed by the Committee on Earth Observation Satellites (CEOS) and it was defined as “satellite data that have been processed to a minimum set of requirements and organized into a form that allows immediate analysis with a minimum of additional user effort, and, interoperability both through time and with other datasets” (http://ceos.org/ard/, accessed on 25 April 2021). The GF6/WFV, HJ1/CCD, and HJ2/WFV will be made available at the second stage

Processing Procedures and Tile Structure for the GF-1 ARD
Geometric Normalization
Radiometric Normalization
Atmospheric Correction
The ARD Tiling and Projection
ARD Contents
The Viewing and Solar Geometry Dataset
ARD TOA Reflectance Dataset
ARD Surface Reflectance Dataset
ARD Quality Assessment Bands
The Preliminary Application of the GF1-WFV ARD
ARD Future Revision Schedule
Findings
Discussion
Conclusions
Full Text
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