Live Monitoring of Earth Surface (LiMES): A framework for monitoring environmental changes from Earth Observations

Giuliani, Gaston; Dao, Hy; Bono, Andrea; Chatenoux, Bruno; Allenbach, Karin; Laborie, P.; Rodila, Denisa; Alexandris, Nikos; Peduzzi, Pascal

doi:10.1016/j.rse.2017.05.040

Cited by 42 publications

(29 citation statements)

References 25 publications

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“…Menze & Ur 2012), or in monitoring of changes in overall land use, may find data from Sentinel series and other low-to moderate-resolution satellites useful. In this light, the potential impact of these platforms within archaeological remote sensing, particularly in the context of heritage monitoring and management applications, is great, and will grow as extensive multi-temporal archives are generated (see Giuliani et al 2017 for a discussion of relevant parallel applications in environmental monitoring and Cuca & Hadjimitsis 2017 for an overview for heritage monitoring). High-temporal revisit platforms, together with detailed local weather data, provide an opportunity to better understand the process of crop and other vegetation development in relation to the presence of archaeological features or changes in land use.…”

Section: High Temporal Revisit Satellitesmentioning

confidence: 99%

Recent Trends and Long-standing Problems in Archaeological Remote Sensing

Opitz

Herrmann

2018

Journal of Computer Applications in Archaeology

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The variety and sophistication of data sources, sensors, and platforms employed in archaeological remote sensing have increased significantly over the past decade. Projects incorporating data from UAV surveys, regional and research-driven lidar surveys, the uptake of hyperspectral imaging, the launch of high-temporal revisit satellites, the advent of multi-sensor rigs for geophysical survey, and increased use of structure from motion mean that more archaeologists are engaging with remote sensing than ever. These technological advances continue to drive research in the specialist community and provide reasons for optimism about future applications, but many social and technical obstacles to the integration of remote sensing into archaeological research and heritage management remain. This article addresses the challenges of contemporary archaeological remote sensing by briefly reviewing trends and then focusing on providing a critical overview of the main structural problems. The discussion here concentrates on topics that have dominated the discourse in recent archaeological literature and featured prominently in ongoing fieldwork for the past decade across three broad segments of landscape archaeology: data collection in the field, the current state of data access and archives, and processing and interpretation.

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Section: High Temporal Revisit Satellitesmentioning

confidence: 99%

Recent Trends and Long-standing Problems in Archaeological Remote Sensing

Opitz

Herrmann

2018

Journal of Computer Applications in Archaeology

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“…Like many other countries in the world, Switzerland faces challenges (e.g., land management, environmental degradation) caused by increasing pressures on its natural resources [33]. These challenges need to be overcome to meet the needs of a growing population.…”

Section: Monitoring Snow Cover Evolution Switzerlandmentioning

confidence: 99%

National Open Data Cubes and Their Contribution to Country-Level Development Policies and Practices

Dhu

Giuliani

Juárez

et al. 2019

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The emerging global trend of satellite operators producing analysis-ready data combined with open source tools for managing and exploiting these data are leading to more and more countries using Earth observation data to drive progress against key national and international development agendas. This paper provides examples from Australia, Mexico, Switzerland, and Tanzania on how the Open Data Cube technology has been combined with analysis-ready data to provide new insights and support better policy making across issues as diverse as water resource management through to urbanization and environmental–economic accounting.

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“…Other information can be generated from EO data such as precipitation, evapotranspiration, land cover, snow, temperature, that are all important variables to monitor the water cycle (Lehmann et al, 2014). Usually EO data are processed to generate information products that describe real-world variables, and these products are in turn converted into evidence-based information for decision support (Giuliani et al, 2017b).…”

Section: Earth Observation Data To Consider the Spatial Dimension Of mentioning

confidence: 99%

“…approaches are required to rapidly analyze data in a transparent and repeatable manner and to facilitate the transformation of large amounts of EO data into actionable information and decisionready products (Giuliani et al, 2017b). Data cubes are part of these new approaches.…”

Section: 2mentioning

confidence: 99%

“…Moreover, they enable the data structure fits with the theoretical unit of analysis. Indeed, the basic unit of EODC is the pixel, but then pixels could be aggregated according to the analytical needs (Giuliani et al, 2017b). It means the dataset is less dependent of administrative boundaries but could stick with the resource footprint for instance.…”

Section: Conclusion and Next Stepsmentioning

confidence: 99%

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Explaining and Measuring Social-Ecological Pathways: The Case of Global Changes and Water Security

Bolognesi¹,

Gerlak²,

Giuliani³

2018

Preprint

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The Social-Ecological Systems (SES) framework serves as a valuable framework to explore and understand social and ecological interactions, and pathways in water governance. Yet, it lacks a robust understanding of change. We argue an analytical and methodological approach to engaging global changes in SES is critical to strengthening the scope and relevance of the SES framework. Relying on SES and resilience thinking, we propose an institutional and cognitive model of change that institutions and natural resources systems co-evolve to provide a dynamic understanding of SES that stands on three causal mechanisms: institutional complexity trap, rigidity trap, and learning processes. We illustrate how Data Cube technology could overcome current limitations and offer reliable avenues to test hypothesis about the dynamics of social-ecological systems and water security by offering to combine spatial and time data with no major technical requirements for users.

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Live Monitoring of Earth Surface (LiMES): A framework for monitoring environmental changes from Earth Observations

Cited by 42 publications

References 25 publications

Recent Trends and Long-standing Problems in Archaeological Remote Sensing

Recent Trends and Long-standing Problems in Archaeological Remote Sensing

National Open Data Cubes and Their Contribution to Country-Level Development Policies and Practices

Explaining and Measuring Social-Ecological Pathways: The Case of Global Changes and Water Security

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