An Autonomous Earth Observing Sensorweb

Chien,; Cichy,; Davies, A. G.; Tran, Tran; Rabideau,; Castano,; Sherwood,; Nghiem,; Greeley,; Doggett,; Baker,; Dohm,; Ip,; Mandl,; Frye,; Shuman,; Ungar,; Brakke,; Ong, Duu Sheng; Descloitres,; Jones, Jones; Grosvenor,; Wright, Naomi Jane; Flynn,; Harris, Rachel; Brakenridge, G. Robert; Cacquard,

doi:10.1109/sutc.2006.1636174

Cited by 15 publications

(18 citation statements)

References 8 publications

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“…Since then this approach has been efficiently re-used used in a number of space related tools. [2][3] Following this promising direction we have recently introduced a long term activity with the main objective of evaluating and validating AI planning scheduling techniques and in particular timeline-based approach for supporting ESA mission operations. The following section describes APSI an ESA's programme to implement AI techniques in planning and scheduling that can be applied generically to different types and classes of space mission operations.…”

Section: Planning and Scheduling For Spacementioning

confidence: 99%

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AI Planning and Scheduling Infusion in Space: ESA Achievements and Perspectives

Donati¹,

Policella²

2010

SpaceOps 2010 Conference

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The paper aims at sharing the experience and lessons learnt in introducing advanced planning and scheduling solutions for mission operations at the European Space Agency (ESA). Artificial Intelligence (AI) based technologies are moving from a theoretical area to the application domain, showing the capability of solving many practical problems. In the last years, a number of AI planning and scheduling solutions have been successfully implemented and operationally validated at ESA, bridging the gap between academic and operations worlds.The solutions address different and specific planning or scheduling issues for a variety of ESA mission typology, including science and deep space missions, based on the automatic generations of conflict-free optimal and/or robust plans. The major topics we discuss in the paper are the technology selection process and its rationale, the lessons learnt from the technology infusion process, the flexibility of the solving approach in order to face probable changes in the mission, the robustness of the solutions to cope with the uncertainty or real problems, the incremental solving in order to update current plans, and the integration of the end-user in the planning process to maintain their supervision and exploit thier knowhow.

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Section: Planning and Scheduling For Spacementioning

confidence: 99%

“…1 Different examples have shown the benefits of AI P&S approaches [2][3] and, on the basis of these results, they will be even more frequent in the future.…”

Section: Introductionmentioning

confidence: 99%

AI Planning and Scheduling Infusion in Space: ESA Achievements and Perspectives

Donati¹,

Policella²

2010

SpaceOps 2010 Conference

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“…This extended deployment capability is a further benefit of the sensor network approach (Dolan 2007). There are many more benefits to sensor networks not covered here, the reader is referred to Chien et al (2005) for additional benefits.…”

Section: Sensor Network: Adding Value Through Communicationmentioning

confidence: 99%

“…With the notion of integrating sensor networks in mind, the concept of Sensor Web is given birth as shown in Figure 3. The notion of the Sensor Web has caused much confusion as many heterogeneous approaches use the term Sensor Web (see short discussion above on evolution of the Sensor Web) in various contexts; none of them being wrong (Delin 2002, Chien et al 2005 In exploring the above definition of a Sensor Web it is easiest to look at each of the features of a Sensor Web described in the definition. The following section looks at each of these features in more detail and will show that only a single Sensor Web exists:…”

Section: The Sensor Web Opening Up Sensor Networkmentioning

confidence: 99%

The Sensor Web: systems of sensor systems

Zyl¹,

Simonis²,

McFerren³

2009

International Journal of Digital Earth

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“…The latter will be a technology that is used to acquire information about an object, where the distance between the object and the sensor is comparable small to any linear dimension of the sensor (sensing in place). Networks of in situ sensors exist already for a while (e.g., meteorological stations), and it's becoming increasingly feasible to provide telecommunication technologies with these networks to achieve (near) real time integration of heterogeneous sensor webs into the information infrastructure (Bacharach, 2005;Chien et al, 2005).…”

Section: Trends-integrated Systems Solutions and In Situ Sensingmentioning

confidence: 99%

Spectrodirectional remote sensing: From pixels to processes

Schaepman

2007

International Journal of Applied Earth Observation and Geoinfor

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This paper discusses the historical evolution of imaging spectroscopy in Earth observation as well as directional (or multiangular) research leading to current achievements in spectrodirectional remote sensing. It elaborates on the evolution from two separate research areas into a common approach to quantify the interaction of light with the Earth surface. The contribution of spectrodirectional remote sensing towards an improved understanding of the Earth System is given by discussing the benefits of converging from individual pixel analysis to process models in the land-biosphere domain. The paper concludes with an outlook of research focus and upcoming areas of interest emphasizing towards multidisciplinary approaches using integrated system solutions based on remote and in situ sensing, data assimilation, and state space estimation algorithms. Abstract This paper discusses the historical evolution of imaging spectroscopy in Earth observation as well as directional (or multiangular) research leading to current achievements in spectrodirectional remote sensing. It elaborates on the evolution from two separate research areas into a common approach to quantify the interaction of light with the Earth surface. The contribution of spectrodirectional remote sensing towards an improved understanding of the Earth System is given by discussing the benefits of converging from individual pixel analysis to process models in the land-biosphere domain. The paper concludes with an outlook of research focus and upcoming areas of interest emphasizing towards multidisciplinary approaches using integrated system solutions based on remote and in situ sensing, data assimilation, and state space estimation algorithms. #

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An Autonomous Earth Observing Sensorweb

Cited by 15 publications

References 8 publications

AI Planning and Scheduling Infusion in Space: ESA Achievements and Perspectives

AI Planning and Scheduling Infusion in Space: ESA Achievements and Perspectives

The Sensor Web: systems of sensor systems

Spectrodirectional remote sensing: From pixels to processes

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