ESA's Earthnet Data Assessment Pilot: paving the way for new space players

Mannan, Rubinder; Halsall, Kevin; Albinet, C.; Ottavianelli, Giuseppe; Goryl, Philippe; Boccia, Valentina; Melchiorre, Andrea; Piro, Alessandro; Giudici, Davide; Fox, Nigel; Hunt, Samuel E.; Saunier, Sébastien

doi:10.1117/12.2532818

Cited by 5 publications

(4 citation statements)

References 3 publications

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“…In this respect, the calibration/validation (Cal/Val) initiatives become even more important than before, as cross-sensor and multi-temporal observations are essential for monitoring the ECVs accurately. The efforts made by the ESA Earthnet Program set a good example as they greatly contributed to the EO community and to the Global Earth Observation System of Systems (GEOSS) [70]. The recent Earthnet Data Assessment Project (EDAP; 2018-2021) and its continuation (EDAP+) aimed at assessing a variety of Cal/Val parameters and the usability of Third Party Missions (TPMs) worldwide [71,72] (see also Copernicus Contributing Missions [73] for further efforts on sensor and data integration) and established guidelines for quality assessments adapted within the global QA4EO Framework [74].…”

Section: Discussionmentioning

confidence: 99%

Contribution of Photogrammetry for Geometric Quality Assessment of Satellite Data for Global Climate Monitoring

Kocaman,

Seiz

2023

Remote Sensing

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This article reviews the role that photogrammetry plays in evaluating the geometric quality of satellite products in connection to the long-term monitoring of essential climate variables (ECVs). The Global Climate Observing System (GCOS) is responsible for defining the observations required for climate monitoring. Only satellite products are capable of providing high-quality observations of a particular subset of ECVs on a global scale. Geometric calibration and validation of these products are crucial for ensuring the coherence of data obtained across platforms and sensors and reliable monitoring in the long term. Here, we analyzed the GCOS implementation plan and the data quality requirements and explored various geometric quality aspects, such as internal and external accuracy and band-to-band registration assessment, for a number of satellite sensors commonly used for climate monitoring. Both geostationary (GEO) and low-earth orbit (LEO) sensors with resolutions between 250 m and 3 km were evaluated for this purpose. The article highlights that the geometric quality issues vary with the sensor, and regular monitoring of data quality and tuning of calibration parameters are essential for identifying and reducing the uncertainty in the derived climate observations.

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Section: Discussionmentioning

confidence: 99%

Contribution of Photogrammetry for Geometric Quality Assessment of Satellite Data for Global Climate Monitoring

Kocaman,

Seiz

2023

Remote Sensing

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“…The SNR is a mean value, and two types of SNR, i.e., temporal and spatial, are typically analyzed in the literature. The basic formulation of the SNR used here is given in Equation (1).…”

Section: Snr Computationmentioning

confidence: 99%

“…The increasing number and diversity of Earth Observation (EO) satellite missions operated by various agencies and commercial bodies has led to the requirement of a platform to enable communication between providers. In order to ensure the coherence of the missions and their integration into the overall EO strategy, a coordination framework was defined by European Space Agency (ESA) for Third-Party Missions (TPM) within the Earthnet Programme, which has contributed to the Global Earth Observation System of Systems (GEOSS) for over 40 years [1]. The Earthnet Data Assessment Pilot (EDAP) project aimed to validate the data quality for various missions [2].…”

Section: Introductionmentioning

confidence: 99%

SkySat Data Quality Assessment within the EDAP Framework

Saunier¹,

Karakas

Yalcin

et al. 2022

Remote Sensing

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Cal/Val activities within the Earthnet Data Assessment Pilot (EDAP) Project of the European Space Agency (ESA) cover several Earth Observation (EO) satellite sensors, including Third-Party Missions (TPMs). As part of the validation studies of very-high-resolution (VHR) sensor data, the geometric and radiometric quality of the images and the mission compliance of the SkySat satellites owned by Planet were evaluated in this study. The SkySat constellation provides optical images with a nominal spatial resolution of 50 cm, and has the capacity for multiple visits of any place on Earth each day. The evaluations performed over several test sites for the purpose of the EDAP Maturity Matrix generation show that the high resolution requirement is fulfilled with high geometric accuracy, although various systematic and random errors could be observed. The 2D and 3D information extracted from SkySat data conform to the quality expectations for the given resolution, although improvements to the vendor-provided rational polynomial coefficients (RPCs) are essential. The results show that the SkySat constellation is compliant with the specifications and the accuracy results are within the ranges claimed by the vendor. The signal-to-noise ratio assessments revealed that the quality is high, but variations occur between the different sensors.

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“…Considering the diversity in Earth Observation (EO) satellite missions and the specifications of the sensors owned by different agencies and commercial bodies, the need of efforts for constituting a platform to strengthen the communication between various mission providers and to ensure the coherence of the systems is indisputable. The Earthnet Programme of European Space Agency (ESA) has played a significant role by contributing to the Global Earth Observation System of Systems (GEOSS) for over 40 years (Mannan et al, 2019). For this purpose, a framework was provided for coordinating non-ESA, i.e.…”

Section: Introductionmentioning

confidence: 99%

Radiometric Quality Assessment for Maxar Hd Imagery

Yalcin

Kocaman

Saunier³

et al. 2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The requirement for very high-resolution satellite imagery by different applications has been increasing continuously. Several commercial and government-supported missions provide sub-meter spatial resolutions from optical sensors aboard Earth Observation (EO) satellites. The MAXAR satellite constellation acquires images with up to 30 cm Ground Sampling Distances (GSDs); and the High-Definition (HD) image production technology developed by MAXAR doubles the resolution by using artificial intelligence methods. Although the spatial resolution is one of the most important image quality metrics, several other factors indicated by diverse radiometric and geometric characteristics may circumscribe the usability of data in different projects. As part of mandatory activities of European Space Agency (ESA), Earthnet Programme provides a framework for integrating Third-Party Missions into the overall EO strategy and promotes the international use of the data. The Earthnet Data Assessment Pilot (EDAP) project aims at assessing the quality and the suitability of TPMs, and provides a communication platform between mission providers to ensure the coherence of the systems. In this study, the radiometric quality of the MAXAR HD products was evaluated within the EDAP project framework by using several General Image-Quality Equation (GIQE) metrics, visual inspections, and comparative assessments with orthophotos obtained from an Unmanned Aerial Vehicle (UAV) platform and with the original (non-HD) orthophotos with 30 cm resolutions. The results show that the spatial resolution improvements are observable in urban areas, where sharp edges are present. However, blurring and color noise patterns also occured in the HD images.

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ESA's Earthnet Data Assessment Pilot: paving the way for new space players

Cited by 5 publications

References 3 publications

Contribution of Photogrammetry for Geometric Quality Assessment of Satellite Data for Global Climate Monitoring

Contribution of Photogrammetry for Geometric Quality Assessment of Satellite Data for Global Climate Monitoring

SkySat Data Quality Assessment within the EDAP Framework

Radiometric Quality Assessment for Maxar Hd Imagery

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