Towards disruptions in Earth observation? New Earth Observation systems and markets evolution: Possible scenarios and impacts

Denis, Gil; Claverie, A.; Pasco, Xavier; Darnis, Jean‐Pierre; Maupeou, Benoît de; Lafaye, Murielle; Morel, Éric

doi:10.1016/j.actaastro.2017.04.034

Cited by 89 publications

(52 citation statements)

References 1 publication

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“…Historically, spaceborne remote sensing has been an industry for governments and some heavyweight corporations. However, recent advancements, like the ability to use cost-effective off-the-shelf components (COTS) for cubesats, or the downstream opportunities created by the European Union Copernicus program, have radically changed the industry [1]. This has given rise to new businesses emerging and taking advantage of this geospatial data.…”

Section: Introductionmentioning

confidence: 99%

Vehicle and Vessel Detection on Satellite Imagery: A Comparative Study on Single-Shot Detectors

Ophoff

Puttemans²,

Kalogirou

et al. 2020

Remote Sensing

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In this paper, we investigate the feasibility of automatic small object detection, such as vehicles and vessels, in satellite imagery with a spatial resolution between 0.3 and 0.5 m. The main challenges of this task are the small objects, as well as the spread in object sizes, with objects ranging from 5 to a few hundred pixels in length. We first annotated 1500 km 2 , making sure to have equal amounts of land and water data. On top of this dataset we trained and evaluated four different single-shot object detection networks: YOLOV2, YOLOV3, D-YOLO and YOLT, adjusting the many hyperparameters to achieve maximal accuracy. We performed various experiments to better understand the performance and differences between the models. The best performing model, D-YOLO, reached an average precision of 60% for vehicles and 66% for vessels and can process an image of around 1 Gpx in 14 s. We conclude that these models, if properly tuned, can thus indeed be used to help speed up the workflows of satellite data analysts and to create even bigger datasets, making it possible to train even better models in the future.

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Section: Introductionmentioning

confidence: 99%

Vehicle and Vessel Detection on Satellite Imagery: A Comparative Study on Single-Shot Detectors

Ophoff

Puttemans²,

Kalogirou

et al. 2020

Remote Sensing

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“…Ocean observation is inherently technical and scientific in nature. Accordingly, there are constant technological advances and disruptions, and new industry "players, " both public and private (Denis et al, 2017;Levy et al, 2018). Similarly, there is a large and dynamic network of observation technologies, and institutions and agencies that also benefit from, and drive, advances and disruptions.…”

Section: The Need For Innovation and Usable Informationmentioning

confidence: 99%

The Role of Stakeholders in Creating Societal Value From Coastal and Ocean Observations

et al. 2019

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The importance of stakeholder engagement in ocean observation and in particular the realization of economic and societal benefits is discussed, introducing a number of overarching principles such as the convergence on common goals, effective communication, co-production of information and knowledge and the need for innovation. A series of case studies examine the role of coordinating frameworks such as the United States' Interagency Ocean Observing System (IOOS R), and the European Ocean Observing System (EOOS), public-private partnerships such as Project Azul and the Coastal Data Information Program (CDIP) and finally the role of the "third" or voluntary sector. The paper explores the value that stakeholder engagement can bring as well as making recommendations for the future.

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“…In response to the increasing demand for remote-sensing products and services, a growing number of Earth-observation satellites are being placed into service [1]. As a consequence, there is an unprecedented availability of optical data [1,2], with it however, the challenge of data interoperability becomes more prominent [3,4]. The aforementioned products and services can have the benefit of being created from disparate data sources if such interoperability is achieved, although, in order to obtain that, it is necessary to analyze the compared behavior of the different sensors [3,4].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Spatial and Temporal Variability in Libya-4 with Landsat 8 and Sentinel-2 Data for Optimized Ground Target Location

et al. 2019

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Pseudo-Invariant Calibration Sites (PICS) have been widely used by the remote sensing community in recent decades for post-launch absolute calibration, cross-calibration, and the monitoring of radiometric stability. The Committee on Earth Observation Satellites (CEOS) has established several official PICS for these purposes. Of these, Libya-4 is the most commonly used, due to its high uniformity and stability. The site was chosen as a large-area site for medium resolution sensors, and with high-resolution sensors now common, smaller sites are being identified. This work has identified an improved area of interest (AOI) within Libya-4 by using combined Landsat 8 and Sentinel 2 data. The Optimized Ground Target (OGT) was determined by calculating the coefficient of variation along with the use of a quasi-Newton optimization algorithm combined with the Basin–Hopping global optimization technique to constrain a search area small enough to perform a final brute-force refinement. The Coefficient of Variation CV of the proposed OGT is significantly lower than that in the original CEOS area, with differences between the CV of both zones in the order of 1% in the visible near-infrared (VNIR) bands. This new AOI has the potential to improve the cross-calibration between high-resolution sensors using the PICS methodology through an OGT with more homogeneous and stable characteristics.

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Towards disruptions in Earth observation? New Earth Observation systems and markets evolution: Possible scenarios and impacts

Cited by 89 publications

References 1 publication

Vehicle and Vessel Detection on Satellite Imagery: A Comparative Study on Single-Shot Detectors

Vehicle and Vessel Detection on Satellite Imagery: A Comparative Study on Single-Shot Detectors

The Role of Stakeholders in Creating Societal Value From Coastal and Ocean Observations

Analysis of Spatial and Temporal Variability in Libya-4 with Landsat 8 and Sentinel-2 Data for Optimized Ground Target Location

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