The talk will be divided into two parts. The first one is about geospatial open data and several Copernicus services where those data can be downloaded. The second one is about Forest and Climate project, as an example of geospatial analysis. The aim of the project was to identify the most suitable area for afforestation in Serbia by using satellite and Earth observation data. The results can be found at https://sumeiklima.org/.
Presentation by ICOS DG Werner Kutsch at the UNFCCC Earth Information Day in UN COP22 on Tue 8 November 2016.
See the Earth Information Day programme: http://unfccc.int/science/workstreams/items/9949.php
The talk will be divided into two parts. The first one is about geospatial open data and several Copernicus services where those data can be downloaded. The second one is about Forest and Climate project, as an example of geospatial analysis. The aim of the project was to identify the most suitable area for afforestation in Serbia by using satellite and Earth observation data. The results can be found at https://sumeiklima.org/.
Presentation by ICOS DG Werner Kutsch at the UNFCCC Earth Information Day in UN COP22 on Tue 8 November 2016.
See the Earth Information Day programme: http://unfccc.int/science/workstreams/items/9949.php
Numerous studies have found an average increase in extreme precipitation for both the U.S. and Northern Hemisphere mid-latitude land areas, consistent with the expectations arising from the observed increase in greenhouse gas concentrations (now more than 40% above pre-industrial levels). However, there are important regional variations in these trends that are not fully explained. These trend studies are typically based on direct analyses of observational station data. Such analyses confront multiple challenges, such as incomplete data and uneven spatial coverage of stations. Central scientific questions related to this general finding are: Are there changes in weather system phenomenology that are contributing to this observed increase? What is the contribution of increases in atmospheric water vapor? There are also questions related to application of potential future changes in planning. Because of the rarity (by definition) of extreme events, trends are mostly found only when aggregating over space. When would we expect to see a signal at the local level? What are the uncertainties surrounding future changes and their potential incorporation into future design? Further development of statistical/mathematical methods, or innovative application of existing methods, is desirable to aid scientists in exploring these central scientific questions. This talk will describe characteristics of the observation record and the issues surrounding the above questions.
The performance of portable mid-infrared spectroscopy for the prediction of s...ExternalEvents
This presentation was presented during the 3 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Martin Soriano-Disla, CSIRO Land and Water - Australia, in FAO Hq, Rome
Presentation given by Darius Bazazi, GeoPlace, as part of the EDINA Geoforum 2014 event on Thursday 19th June 2014 at the Informatics Forum, University of Edinburgh.
Evaluating Satellite Precipitation Error Propagation in Runoff Simulations of...Yiwen Mei
This study investigates the error characteristics of six quasi-global satellite precipitation products and associated error propagation in flow simulations for 16 mountainous basin scales (areas ranging from 255 to 6967 km2) and two different periods (May-Aug & Sep-Nov) in northeast Italy. The satellite products used in this study are 3B42-CCA, 3B42-V7, CMORPH and PERSIANN with their respect gauge-adjusted products. To evaluate the error propagation in flood simulations satellite precipitation datasets were used to force a gauge-calibrated hydrologic model to simulate runoff for the 16 basins, and comparing them to the gauge-driven simulated hydrographs for a range of moderate to high flood events spanning a nine-year period (2002 to 2009). Statistics describing the systematic and random error, the temporal similarity and error ratios between precipitation and runoff are presented.
Gokhan Danabasoglu, Senior Scientist and Community Earth System Model Chief Scientist, National Center for Atmospheric Research (NCAR)
UCAR Congressional Briefing - April 2018
Numerous studies have found an average increase in extreme precipitation for both the U.S. and Northern Hemisphere mid-latitude land areas, consistent with the expectations arising from the observed increase in greenhouse gas concentrations (now more than 40% above pre-industrial levels). However, there are important regional variations in these trends that are not fully explained. These trend studies are typically based on direct analyses of observational station data. Such analyses confront multiple challenges, such as incomplete data and uneven spatial coverage of stations. Central scientific questions related to this general finding are: Are there changes in weather system phenomenology that are contributing to this observed increase? What is the contribution of increases in atmospheric water vapor? There are also questions related to application of potential future changes in planning. Because of the rarity (by definition) of extreme events, trends are mostly found only when aggregating over space. When would we expect to see a signal at the local level? What are the uncertainties surrounding future changes and their potential incorporation into future design? Further development of statistical/mathematical methods, or innovative application of existing methods, is desirable to aid scientists in exploring these central scientific questions. This talk will describe characteristics of the observation record and the issues surrounding the above questions.
The performance of portable mid-infrared spectroscopy for the prediction of s...ExternalEvents
This presentation was presented during the 3 Parallel session on Theme 1, Monitoring, mapping, measuring, reporting and verification (MRV) of SOC, of the Global Symposium on Soil Organic Carbon that took place in Rome 21-23 March 2017. The presentation was made by Mr. Martin Soriano-Disla, CSIRO Land and Water - Australia, in FAO Hq, Rome
Presentation given by Darius Bazazi, GeoPlace, as part of the EDINA Geoforum 2014 event on Thursday 19th June 2014 at the Informatics Forum, University of Edinburgh.
Evaluating Satellite Precipitation Error Propagation in Runoff Simulations of...Yiwen Mei
This study investigates the error characteristics of six quasi-global satellite precipitation products and associated error propagation in flow simulations for 16 mountainous basin scales (areas ranging from 255 to 6967 km2) and two different periods (May-Aug & Sep-Nov) in northeast Italy. The satellite products used in this study are 3B42-CCA, 3B42-V7, CMORPH and PERSIANN with their respect gauge-adjusted products. To evaluate the error propagation in flood simulations satellite precipitation datasets were used to force a gauge-calibrated hydrologic model to simulate runoff for the 16 basins, and comparing them to the gauge-driven simulated hydrographs for a range of moderate to high flood events spanning a nine-year period (2002 to 2009). Statistics describing the systematic and random error, the temporal similarity and error ratios between precipitation and runoff are presented.
Gokhan Danabasoglu, Senior Scientist and Community Earth System Model Chief Scientist, National Center for Atmospheric Research (NCAR)
UCAR Congressional Briefing - April 2018
El 29 de febrero y el 1 de marzo de 2016, la Fundación Ramón Areces analizó la relación entre 'Big Data y el cambio climático' en unas jornadas. ¿Puede el Big Data ayudar a reducir el cambio climático? ¿Cómo contribuirá ese análisis masivo de datos a prevenir y gestionar catástrofes naturales? Son solo algunas de las preguntas a las que intentarán responder los ponentes. Las ciencias vinculadas al clima tienen en el Big Data una herramienta muy prometedora para afrontar diferentes fenómenos asociados al cambio climático.
Department of Geography and Geoinformation Science Seminar, George Mason University, Falls Church, VA, September 2015.
Increasingly, GIS is part of the collaboration between computer scientists, information scientists, and domain scientists to solve complex scientific questions. Successfully addressing scientific problems, such as informing regional decision- and policy-making for coastal zone management and marine spatial planning, requires integrative and innovative approaches to analyzing, modeling, and developing extensive and diverse data sets. The current chaotic distribution of available data sets, lack of documentation about them, and lack of easy-to-use access tools and computer modeling and analysis codes are still major obstacles for scientists and educators alike. Contributing solutions to these problems is part of an emerging science agenda at Esri for a range of environmental, conservation, climate and ocean sciences that will be discussed. The talk will highlight some recent projects in progress, including a new global map of ecological land units, new tools to support multidimensional scientific data, continued work on an ocean basemap, and more.
2018 National Tanks Conference & Exposition: HRSC Data VisualizationAntea Group
Two of our High-Resolution Site Characterization (HRSC) Data Visualization posters featured at the 2018 NTC Conference in Louisville, KY.
1. Using Data Management and 3-Dimensional Data Visualization to Generate More Complete Conceptual Site Models and Streamline Site Closure
2. High-Resolution Site Characterization (HRSC) and 3-Dimensional Data Visualization for a Fractured Rock Site: A Path to Streamlined Closure
Remote Sensing Methods for operational ET determinations in the NENA region, ...NENAwaterscarcity
Workshop on Operationalizing the Regional Collaborative Platform to Address ‘Water Consumption, Water Productivity and Drought Management’ in Agriculture, 27 - 29 October 2015, Cairo, Egypt
The climate and earth sciences have recently undergone a rapid transformation from a data-poor
to a data-rich environment. In particular, massive amount of data about Earth and its
environment is now continuously being generated by a large number of Earth observing satellites
as well as physics-based earth system models running on large-scale computational platforms.
These massive and information-rich datasets offer huge potential for understanding how the
Earth's climate and ecosystem have been changing and how they are being impacted by humans’
actions. This talk will discuss various challenges involved in analyzing these massive data sets
as well as opportunities they present for both advancing machine learning as well as the science
of climate change in the context of monitoring the state of the tropical forests and surface water
on a global scale.
This publication was endorsed by the National Soils Advocate, The Hon. Penny Wensley AC, on the 8th of December 2022 during the launch of the TERN Australia Soil & Herbarium Collection.
The publication contains the results of 33 interviews with people who, in 2022, have jobs relevant to soils. It is intended for use by secondary and tertiary students who are perhaps wondering what to study or which career might be satisfying - or maybe they have already chosen a soils-related career and are keen to learn something about others who they may meet as lecturers, coworkers or employers.
The booklet will also hopefully be a useful resource for those that assist students with such decisions, including teachers, careers counsellors, guidance officers, librarians, and parents.
Summary of TERN monitoring plots in the Pilbara WA, Apr2015 - Jun2021TERN Australia
This report provides a snapshot of the data collected by TERN in the Pilbara, Western Australia. Also included in this report is how to access the data, descriptions of data types, panorama photos and examples of research using TERN data. Plots on the Pilbara were first surveyed by TERN from April 2015 to August 2016. The surveys collected vegetation and soil, data and samples following the AusPlots Rangelands methodology, with 37 plots completed. Some of the plots were revisted in 2021. An updated version of this report will be provided as this data becomes available.
Summary of TERN plots on Kangaroo Island, SA, Oct 2018 - Oct 2021TERN Australia
In October 2018, TERN undertook a survey on Kangaroo Island, South Australia. The survey involved vegetation and soils work following the AusPlots Rangelands methodology, with 13 plots completed. The plots are part of over 800 plots completed nationally. The plots were revisited following the fires in 2020
and again in 2021. This report will be updated as that data becomes available.
Evaluating ecological outcomes in the Regional Land Partnerships Program: A pilot monitoring, evaluation and research (MER) network.
This three-year project will trial Australia’s first MER network by implementing a pilot network – to promote national-scale learning about bushfire recovery across different ecosystem types, and the
ecological effectiveness of post-fire interventions.
Australia's Environmental Predictive CapabilityTERN Australia
Federating world-leading research, data and technical capabilities to create Australia’s National Environmental Prediction System (NEPS).
Community consultation presentation.
3-12 February 2020
Dr Michelle Barker (Facilitator)
(Presentation v5)
Biodiversity Management in Tasmania's Temperate Native ForestsTERN Australia
Sustainable Timber Tasmania's Dr Marie Yee's entry to the ILTER Most Striking Case competition on using the research from TERN's Warra Tall Eucalypt SuperSite to facilitate innovative biodiversity management in Tasmania's temperate native forests.
Observing Environmental Change in Australia: Conversations for SustainabilityTERN Australia
A comprehensive and engaging review of how the past decade of Australian Government research infrastructure investment has transformed our understanding of the environment.
Observing Environmental Change in Australia – Conversations for Sustainability covers the monitoring of environmental change, urbanisation and land-use changes, biodiversity, extreme events, climate, carbon and water.
Chapters detail the importance of Indigenous knowledge, the use of satellite remote sensing and drones, and managing ‘big data’. The book concludes with descriptions of visualising environmental information, emerging technologies, and the importance of engaging the community.
Observing Environmental Change in Australia: Conversations for SustainabilityTERN Australia
A comprehensive and engaging review of how the past decade of Australian Government research infrastructure investment has transformed our understanding of the environment.
Observing Environmental Change in Australia – Conversations for Sustainability covers the monitoring of environmental change, urbanisation and land-use changes, biodiversity, extreme events, climate, carbon and water.
Chapters detail the importance of Indigenous knowledge, the use of satellite remote sensing and drones, and managing ‘big data’. The book concludes with descriptions of visualising environmental information, emerging technologies, and the importance of engaging the community.
Yuxia Liu Phenology 2018 poster on tracking grass phenologyTERN Australia
University of Technology Sydney Yuxia Liu's Phenology 2018 conference poster on tracking grass phenology with phenocams and remote sensing over victorian pastures.
Report outlining the University of Adelaide and TERN's mapping of the ecological facets for continental Australia using globally consistent methods. The new maps capture the three major factors driving ecosystem formation-macroclimate, lithology and landform-with multiple spatial indicators. Vegetation structure has also been mapped and combined with the three indicators of ecosystem formation to produce 'ecological facets'.
TERN Ecosystem Surveillance Plots Roy Hill StationTERN Australia
A summary of TERN ecosystem observing plots on Roy Hill Station. The report also contains a list of the data and soil and plant samples openly available via TERN.
TERN Ecosystem Surveillance Plots Kakadu National ParkTERN Australia
A summary of TERN ecosystem observing plots in Kakadu National Park. The report also contains a list of the data and soil and plant samples openly available via TERN.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Mission to Decommission: Importance of Decommissioning Products to Increase E...
EcoTas13 BradEvans e-MAST
1. ecosystem Modelling And Scaling
infrasTructure (eMAST)
- Where models and data become one
Presentation by Brad Evans based on contributions by Colin
Prentice, Michael Hutchinson, Gab Abramowitz, Ben Evans,
Rhys Whitley, Julie Pauwels
2. eMAST’s objectives 2013-2015
DELIVER research data infrastructure to
integrate TERN (and other) data streams on the
National Computing Infrastructure
ENABLE data assimilation, model evaluation and
accreditation and ecosystem model optimization
DRIVE advances in ecosystem science, impact
assessment and land management
3. Driving science questions
CARBON: How much CO2 is exchanged? How
much carbon can be stored and where?
WATER: What drives water use by ecosystems,
and runoff in rivers?
CLIMATE CHANGE: How does it change the
rules?
LAND MANAGEMENT: What will work, in a
changing climate?
4. More driving science questions
FIRE: What are the risks? How can they be
mitigated?
CLIMATE FEEDBACKS: How will ecosystem
changes influence the exchanges of carbon,
water and energy with the atmosphere?
BIODIVERSITY: What species are threatened?
Where are likely refugia? Is there a tipping
point?
5. Our target market
Ecosystem scientists
Australian Government e.g.
BoM, DCCEE, SEWPAC
Natural resource managers
Conservation organizations
Answering questions at all scales
Addressing tradeoffs – carbon, water, biodiversity
6. What eMAST is delivering
High-resolution data products: climate, canopy
conductance, water use, primary production
Tools for interpolation, downscaling, upscaling,
hindcasting, forecasting
A state-of-the-art data assimilation system for
ecosystem model optimization
Software for model evaluation (based on PALS)
Top-level ecosystem drivers and targets for
models
9. ANUClimate
A NEW approach to interpolating our national network
0.01 degree climate surfaces
Who? Professor Mike Hutchinson (ANU)
10. Climate data sets (1 km)
Tmin
Tmax
vp
P
daily
✔
1970-2011
✔
✔
✔
monthly
✔
1970-2011
✔
✔
✔
✔
mean
monthly
pan
evap.
wet
days
✔
✔
✔
✔
✔
✔
solar
rad.
wind
speed
✔
✔
11. ANUClimate
When? Delivery timeline…
Complete set of Climate and
Bioclimatic data available on
RDSI
RDSI opendap netCDF CF
& Metadata store complete
= public release
Data starts propagating
to RDSI*
ADVANCED USER ACCESS
DOI’s NOT YET AVAILABLE = NO PUBLISH
30 Nov 2013
24 Dec 2013
31 Jan 2013
*Currently experiencing delays in RDSI allocation – delays in the Raijin cloud roll out etc…
12. ANUClimate
What is different?
• Improved ‘background-anomaly-interpolation’
approach
•
•
•
Temperature and both positive and zero rainfall
can be effectively interpolated by the thin plate
splines method - with adaptive capacity !
Monthly means, topographically corrected yield
influence of atmospheric processes and terrain
Significant improvement over both direct (nonanomaly) and current anomaly approach
• Coastal proximity: A new ‘proximity to coast’
modifier captures marine perturbation of
climate
13. ANUClimate
What can we expect?
• Temperature estimates improved by around
25% compared to Jones et al. 2009 (RMSE
cross validation)
• Precipitation estimates a modest, but
significant, improvement (7-15% RMSE cross
validation)
The model makes no further improvement on
accuracy beyond the 1km mark !
17. ecosystem Production in Space and
Time: ePiSaT
eMAST: How does gross primary
productivity (GPP) vary in space and time
across Australia?
Colin: How can we ‘simply’ estimate
GPP across Australia?
What data does TERN provide that
might be useful for addressing this
research question?
18. User workflow: ePiSaT GPP
Choose the ePiSaT
model from the TERN
portal
Produce continental
scale estimates of GPP
and evaluate them
Obtain OzFlux data via
the TERN/ OzFlux
portals
Obtain climate (eMAST)
and satellite data
(AusCover) to scale the
ePiSaT parameters
Run the ePiSaT model –
generate estimates of
ecosystem parameters,
evaluate them
34. Summary: Data-model fusion tools
Data assimilation collaboration with NEON and
NCAR, CSIRO, Macquarie University and the
Australian National University
eMAST : An R-Package ‘emast’ for the computation
and visualization of bioclimatic indices
ePiSaT : Collaboration with OzFlux and AusCover to
model Gross Primary Production across the
landscape, another R-Package ‘ePiSaT’.
Protocol for the Analysis of Land Surface Models
(PALS) for evaluation of data and models
Downscale climate change scenarios
35. Status of the facility
Delivery of our key datasets through the
RDSI, Data Discovery, Visualization &
Exploitation… consolidation of our tools and
porting them to Raijin.
36. eMAST in 2014
Delivery of our key datasets through the RDSI,
Data Discovery, Visualization & Exploitation…
consolidation of our tools and porting them to
Raijin.