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| 1 | Monitoring land degradation at national level using satellite Earth Observation time-series data to support SDG15-exploring the potential of data cube显示文摘Avoiding,reducing,and reversing land degradation and restoring degraded land is an urgent priority to protect the biodiversity and ecosystem services that are vital to life on Earth.To halt and reverse the current trends in land degradation,there is an immediate need to enhance national capacities to undertake quantitative assessments and mapping of their degraded lands,as required by the Sustainable Development Goals(SDGs),in particular,the SDG indicator 15.3.1(“proportion of land that is degraded over total land area”).Earth Observations(EO)can play an important role both for generating this indicator as well as complementing or enhancing national official data sources.Implementations like Trends.Earth to monitor land degradation in accordance with the SDG15.3.1 rely on default datasets of coarse spatial resolution provided by MODIS or AVHRR.Consequently,there is a need to develop methodologies to benefit from medium to high-resolution satellite EO data(e.g.Landsat or Sentinels).In response to this issue,this paper presents an initial overview of an innovative approach to monitor land degradation at the national scale in compliance with the SDG15.3.1 indicator using Landsat observations using a data cube but further work is required to improve the calculation of the three sub-indicators. | Gregory Giuliani Bruno Chatenoux Antonio Benvenuti Pierre Lacroix Mattia Santoro Paolo Mazzetti | 2020 | Big Earth Data2020，4，1： | 4 |
| 2 | GEOEssential–mainstreaming workflows from data sources to environment policy indicators with essential variables显示文摘When defining indicators on the environment,the use of existing initiatives should be a priority rather than redefining indicators each time.From an Information,Communication and Technology perspective,data interoperability and standardization are critical to improve data access and exchange as promoted by the Group on Earth Observations.GEOEssential is following an end-user driven approach by defining Essential Variables(EVs),as an intermediate value between environmental policy indicators and their appropriate data sources.From international to local scales,environmental policies and indicators are increasingly percolating down from the global to the local agendas.The scientific business processes for the generation of EVs and related indicators can be formalized in workflows specifying the necessary logical steps.To this aim,GEOEssential is developing a Virtual Laboratory the main objective of which is to instantiate conceptual workflows,which are stored in a dedicated knowledge base,generating executable workflows.To interpret and present the relevant outputs/results carried out by the different thematic workflows considered in GEOEssential(i.e.biodiversity,ecosystems,extractives,night light,and food-water-energy nexus),a Dashboard is built as a visual front-end.This is a valuable instrument to track progresses towards environmental policies. | Anthony Lehmann Stefano Nativi Paolo Mazzetti Joan Maso Ivette Serral Daniel Spengler Aidin Niamir Ian McCallum Pierre Lacroix Petros Patias Denisa Rodila Nicolas Ray Grégory Giuliani | 2020 | International Journal of Digital Earth2020，13，2： | 1 |
| 3 | Drying conditions in Switzerland-indication from a 35-year Landsat time-series analysis of vegetation water content estimates to support SDGs显示文摘Exacerbated by climate change,Europe has experienced series of hot and dry summer since the beginning of the 21st century.The importance of land conditions became an international concern with a dedicated sustainable development goal(SDG),the SDG 15.It calls for developing and finding innovative solu-tions to follow and evaluate impacts of changing land condi-tions induced by various driving forces.In Switzerland,drought risk will significantly increase in the coming decades with severe consequences on agriculture,energy production and vegeta-tion.In this paper,we used a 35-year satellite-derived annual and seasonal times-series of normalized difference water index(NDWI)to follow vegetation water content evolution at different spatial and temporal scales across Switzerland and related them to temperature and precipitation to investigate possible responses of changing climatic conditions.Results indicate that there is a small and slow drying tendency at the country scale with a NDWI mean decreasing slope of−0.22%/year for the 23%significant pixels across Switzerland.This tendency is mostly visible below 2000 m above sea level(m.a.s.l.)and in all biogeographical regions.The Southern Alps regions appear to be more responsive to changing drying conditions with a significant and slight negative NDWI trend(−0.39%/year)over the last 35 years.Moreover,NDWI values are mostly a func-tion of temperature at elevations below the tree line rather than precipitation.Findings suggest that multi-annual and seasonal NDWI can be a valuable indicator to monitor vegetation water content at different scales,but other components such as land cover type and evapotranspiration should be considered to better characterize NDWI variability.Satellite Earth Observations data can provide valuable complementary obser-vations for national statistics on the ecological state of vegeta-tion to support SDG 15 to monitor land affected by drying conditions. | Charlotte Poussin Alexandrine Massot Christian Ginzler Dominique Weber Bruno Chatenoux Pierre Lacroix Thomas Piller Liliane Nguyen Gregory Giuliani | 2021 | Big Earth Data2021，5，4： | 1 |
| 4 | Major vascular injuries during gynecologic laparoscopy显示文摘 | Chapron CM Pierre F Lacroix S | 1997 | J Am Coll Surg1997，185，： | 1 |
| 5 | Measurement and Interpretation of the Ankle-Brachial Index: A Scientific Statement From the American Heart Association显示文摘 | Victor Aboyans Michael H. Criqui Pierre Abraham Matthew A. Allison Mark A. Creager Curt Diehm F. Gerry R. Fowkes William R. Hiatt Bj?rn J?nsson Philippe Lacroix Beno Circumflex Accent]t Marin Mary M. McDermott Lars Norgren Reena L. Pande Pierre- | 2012 | Circulation2012，，24： | 1 |
| 6 | Single Radiofrequency Application to Cure Atrioventricular Nodal Reentry: Arguments for the Slow Pathway Origin of the High-Low Frequency Slow Potentials显示文摘 | Didier Klug Dominique Lacroix Pierre Le Franc Youssef Ben Ameur Claude Kouakam Salem Kacet Jean Lekieffre | 1997 | Journal of Interventional Cardiac Electrophysiology1997，，1： | 1 |
| 7 | Definition of candidate Essential Variables for the monitoring of mineral resource exploitation显示文摘The practice of raw material extraction has a high impact on the environment and represents a potential threat to the health and thriving of local communities.The concept of Extractive Essential Variables(EEVs)are explored in order to propose variables that can be used to quantify the environmental footprint of mineral extraction.Considering the interdependence of mining activities with social,economic and environmental issues,the variables target the development of monitoring tools for the implementation of the Sustainable Development Goals(SDGs).The identification of EEVs is based on the use of Earth Observation products in the field of mineral resources exploitation.A list of variables is proposed based on three classes of Essential Variables(EVs):installation and exploration phase,mineral extraction,and ore processing.These variables take into account the impacts of mining on the hydrology,land,water resources and the atmosphere of the area subjected to mineral exploitation.One of the variables is implemented as an operational workflow addressing SDG15,“life on land”.The workflow is intended to assess the area of forest ecosystem lost due to the presence of a mining site.Geospatial data on the extent of mining concessions and forest cover are combined using ArcGIS^(TM).The workflow is successively translated into a Unix script to automatize the process of data treatment.The script is developed using the Geospatial Data Abstraction Library(GDAL).The use of a Virtual Laboratory Platform(VLab),a web-service-based access platform,increases the accessibility of data and resources and the re-use of the script.This work is a first attempt to propose a framework of EEVs,derived data workflows,while the underlying methodology,partially based on scientific publications and on personal reasoning,still needs to be tested and,improved based on expertise in the sector. | Mariapaola Ambrosone Grégory Giuliani Bruno Chatenoux Denisa Rodila Pierre Lacroix | 2019 | Geo-Spatial Information Science2019，22，4： | 0 |
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