This document discusses using machine learning and combining multiple datasets including historical track issue data, meteorological data, and satellite imagery to monitor and predict drought, flooding, and diseases like malaria. It provides examples of how this approach has been used to track water usage and irrigation needs in agriculture more efficiently, identify mosquito breeding sites to help prevent West Nile virus and malaria, and monitor air pollution levels. Integrating these different data sources allows for more accurate monitoring, prediction, and management of environmental and public health issues.
Dr. Jay Famiglietti - 21st Century Water Security and Implications for Animal...John Blue
21st Century Water Security and Implications for Animal Agriculture - Dr. Jay Famiglietti, Associate Professor at University of California, Irvine and Senior Water Scientist at the NASA Jet Propulsion Laboratory, from the 2015 NIAA Annual Conference titled 'Water and the Future of Animal Agriculture', March 23 - March 26, 2015, Indianapolis, IN, USA.
More presentations at http://www.trufflemedia.com/agmedia/conference/2015_niaa_water_future_animal_ag
Dr. Jay Famiglietti - 21st Century Water Security and Implications for Animal...John Blue
21st Century Water Security and Implications for Animal Agriculture - Dr. Jay Famiglietti, Associate Professor at University of California, Irvine and Senior Water Scientist at the NASA Jet Propulsion Laboratory, from the 2015 NIAA Annual Conference titled 'Water and the Future of Animal Agriculture', March 23 - March 26, 2015, Indianapolis, IN, USA.
More presentations at http://www.trufflemedia.com/agmedia/conference/2015_niaa_water_future_animal_ag
A GIS-Based Framework to Identify Opportunities to Use Surface Water to Offse...ASADULISLAMSORIF
The state of Louisiana (Fig. 1) is
characterized by a humid subtropical
climate and receives about 150 cm of
rain per year.
Louisiana hosts about 40% of the
freshwater wetlands in the U.S. is a hub
for the petroleum industry and the third
leading producer of rice in the U.S. Louisiana is also a leading exporter of
aquaculture products
Keith Nislow (Forest Service and Northeast Climate Science Center) presented at the Adapting Forested Watersheds to Climate Change Workshop, at Antioch University New England, Keene, NH on April 4-5, 2017. The workshop was hosted by the Northern Institute of Applied Climate Science (NIACS), USDA Climate Hubs, and Trout Unlimited.
Actually, there are lots of studies and secondary data set that .docxgalerussel59292
Actually, there are lots of studies and secondary data set that will help in my topic. In addition the study will includes a case study and I can use some journal articles for some important information on the cases.
I can use various official sites to access their reports of desalination in Florida. For example, I have found out an official site of South Florida Water Management district http://www.sfwmd.gov/portal/page/portal/xweb%20-%20release%203%20water%20supply/desalinationthat has published a number of reports on desalination that can be effectively used as secondary data in this case study. Since the research is a qualitative study I can gather necessary reports to collect secondary data set.
Here are some links that will help to collect data:
http://www.sfwmd.gov/portal/page/portal/xweb%20-%20release%203%20water%20supply/desalination for some secondary data (numerical figures including a trend analysis).
For more information on desalination in South Florida:
2012 Potable Water Desalination Plants in the SFWMD
Facilities Using Brackish Groundwater and Seawater in South Florida
Growth of Desalination Facilities within the SFWMD
2-There are links for some reports that will also be helpful to collect qualitative data (they are not literature or journal articles, they are simple reports from the water supply districts and state of Florida.
i. http://www.swfwmd.state.fl.us/publications/files/watersupply.pdf
ii.http://www.dep.state.fl.us/water/docs/desalination-in-florida-report.pdf
iii.http://www.sfwmd.gov/portal/page/portal/xrepository/sfwmd_repository_pdf/waterdesalinationconcentratemgmtpiloting-dec09-carollo.pdf
iv. http://www.dep.state.fl.us/water/waterpolicy/docs/factsheets/wrfss-desalination.pdf
I can also find some more links as we proceed with the study.
Public Administration and Water supply Management in Urban Areas of USA
How does the strategy of higher desalination of water helps in better water supply management in overly populated urban sector?
Abstract
A very interesting thing is being taking place in USA as well as across the globe in the field of water supply management. With increasing population and depletion of traditional freshwater resources, there is a requirement of implementing a new way of supplying water for drinking, domestic purposes and industrial applications. Hence, increasing focus in being placed on desalination as an alternative to fresh ground-water supplies. Through the process of desalination salty water of sea as well as moderately salty water sources are being treated for daily use.
USA has been one of the forerunners in installing desalination. Moreover, Florida is the pioneer in implementing desalination facilities in the country. Today, a significant portion of urban water supplies in Florida as well as in USA is being managed by desalination. However, much more initiatives need to be taken to exploit this alternative method of water supply appropriately. But, a lot of challenges are.
Actually, there are lots of studies and secondary data set that .docxbobbywlane695641
Actually, there are lots of studies and secondary data set that will help in my topic. In addition the study will includes a case study and I can use some journal articles for some important information on the cases.
I can use various official sites to access their reports of desalination in Florida. For example, I have found out an official site of South Florida Water Management district http://www.sfwmd.gov/portal/page/portal/xweb%20-%20release%203%20water%20supply/desalinationthat has published a number of reports on desalination that can be effectively used as secondary data in this case study. Since the research is a qualitative study I can gather necessary reports to collect secondary data set.
Here are some links that will help to collect data:
http://www.sfwmd.gov/portal/page/portal/xweb%20-%20release%203%20water%20supply/desalination for some secondary data (numerical figures including a trend analysis).
For more information on desalination in South Florida:
2012 Potable Water Desalination Plants in the SFWMD
Facilities Using Brackish Groundwater and Seawater in South Florida
Growth of Desalination Facilities within the SFWMD
2-There are links for some reports that will also be helpful to collect qualitative data (they are not literature or journal articles, they are simple reports from the water supply districts and state of Florida.
i. http://www.swfwmd.state.fl.us/publications/files/watersupply.pdf
ii.http://www.dep.state.fl.us/water/docs/desalination-in-florida-report.pdf
iii.http://www.sfwmd.gov/portal/page/portal/xrepository/sfwmd_repository_pdf/waterdesalinationconcentratemgmtpiloting-dec09-carollo.pdf
iv. http://www.dep.state.fl.us/water/waterpolicy/docs/factsheets/wrfss-desalination.pdf
I can also find some more links as we proceed with the study.
Public Administration and Water supply Management in Urban Areas of USA
How does the strategy of higher desalination of water helps in better water supply management in overly populated urban sector?
Abstract
A very interesting thing is being taking place in USA as well as across the globe in the field of water supply management. With increasing population and depletion of traditional freshwater resources, there is a requirement of implementing a new way of supplying water for drinking, domestic purposes and industrial applications. Hence, increasing focus in being placed on desalination as an alternative to fresh ground-water supplies. Through the process of desalination salty water of sea as well as moderately salty water sources are being treated for daily use.
USA has been one of the forerunners in installing desalination. Moreover, Florida is the pioneer in implementing desalination facilities in the country. Today, a significant portion of urban water supplies in Florida as well as in USA is being managed by desalination. However, much more initiatives need to be taken to exploit this alternative method of water supply appropriately. But, a lot of challenges are.
Drought monitoring, Precipitation statistics, and water balance with freely a...AngelosAlamanos
The aim of this study is to showcase and discuss these new technologies for hydrometeorological studies. Six of NASA’s web-repositories that can be used to freely download and
visualise such spatial and/or time-series factors are listed and explained with examples for Ireland: ways
to access hydrological, meteorological, soil, vegetation and socio-economic data are shown, and
estimations of various precipitations statistics, anomalies, and water balance are presented for monthly
and seasonal analyses. The advantages, disadvantages and limitations of the satellite datasets are
discussed to provide useful recommendations about their proper use, based on purpose, scale, precision,
time requirement, and modelling-expansion criteria.
The West Africa-America Chamber of Commerce & Industries presents: Sub sahara...David Lary
The West Africa-America Chamber of Commerce & Industries presents: Sub sahara africa economic impact of tropical and infectious diseases by Dr. Oluwole Kukoyi
The West Africa-America Chamber of Commerce & Industries presents: David Lary
The West Africa-America Chamber of Commerce & Industries presents: Doing Business in Nigeria: Creating Wealth from
Opportunities in Africa’s Largest Market
Requirements for next generation of Cloud Computing: Case study with multiple...David Lary
The next generation of cloud computing system will need to handle:
1. Multiple massive datasets (Large Storage)
2. Massive memory per node
3. Facilitate automation and scheduling of repetitive tasks
4. Include high level technical languages (e.g. Matlab)
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
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.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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.
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.
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
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Generating a custom Ruby SDK for your web service or Rails API using Smithy
The West Africa-America Chamber of Commerce & Industries presents: Big Data & Machine Learning for Societal Benefit
1.
2. Combine historical track issue data
and historical high resolution
meteorological data with machine
learning.
Combine Multiple Datasets
3. Water
The Motive
Do well with the Details by
embracing the Big Picture
Prof. David Lary
+1 (972) 489-2059
http://davidlary.info
david.lary@utdallas.edu
Center for Space Science
5. Worst Drought in 1,000 Years Predicted for American West
A paddle wheeler and a small motorboat sail on Lake Mead, North America's largest man-made reservoir. The water is at its
lowest level since the Hoover Dam was built in the 1930s. The white "bathtub ring" of mineral deposits on the rocks marks past
water levels.
PUBLISHED FEBRUARY 12, 2015
6. Western U.S. Drought Prompts
Disaster Declarations In 11 States
By MICHELLE RINDELS 01/16/14 07:51 PM ET EST
LAS VEGAS (AP) — Federal officials have designated portions of 11 drought-
ridden western and central states as primary natural disaster areas,
highlighting the financial strain the lack of rain is likely to bring to farmers in
those regions.
The announcement by the U.S. Department of Agriculture on Wednesday
included counties in Colorado, New Mexico, Nevada, Kansas, Texas, Utah,
Arkansas, Hawaii, Idaho, Oklahoma and California.
Rancher Ralph Miller, 79, checks on one of many “stock tanks” of water that are
receding due to the severe drought. “I’d say it’s just about as bad as it can get.”
Barnhart, Texas
7. “Water is the new oil”
Jim Rogers, chief executive of Duke Energy
... and many others
Water crisis in California, Texas threatens
US food security
Western water scarcity issues becoming more severe
Western Farm Press, Jun. 5, 2012
University of Texas at Austin
California and Texas produced agricultural products worth $56 billion
in 2007, accounting for much of the nation's food production. They
also account for half of all groundwater depletion in the U.S.,
mainly as a result of irrigating crops.
The nation’s food supply may be vulnerable to rapid groundwater
depletion from irrigated agriculture, according to a new study by
researchers at The University of Texas at Austin and elsewhere.
http://westernfarmpress.com/irrigation/water-crisis-california-texas-threatens-us-food-security
8. Since 1980 the population
of Texas has more than
doubled, but the reservoir
capacity has remained
almost unchanged.
During 2011the reservoir
levels were the lowest
during Sep-Dec that they
have been since 1990.
In 2015 we are starting out
with lower levels than 2013.
9. Smarter irrigation control is invaluable!
If we can use existing
infrastructure it is even better!
.... from farm, to corporate campus, to golf course, to your back yard.
10. When great societal need meets
appropriate scalable solution
there is much societal and
economic benefit to be
gained
19. 20 lb Airborne hyperspectral imaging system
385 channels between 400-1,700 nm
Hyperspectral data cube
20. J S Famiglietti, and M Rodell Science 2013;340:1300-1301
an accuracy of 1.5 cm equivalent water height.
Because GRACE measures changes in
total water storage, it integrates the impacts
of natural climate fluctuations, global change,
and human water use, including groundwater
extraction, which in many parts of the world
is unmeasured and unmanaged. GRACE-
derived rates of groundwater losses in the
world’s major aquifer systems (4–6) under-
score the critical need to improve monitor-
ing and regulation of groundwater systems
before they run dry.
Regional flooding and drought are driven
by the surplus or deficit of water in a river
basin or an aquifer, yet few hydrologic
observing networks yield sufficient data for
comprehensive monitoring of changes in
the total amount of water stored in a region.
GRACE observations have helped to fill
this gap. They have been used to character-
ize regional flood potential (8) and to assess
water storage deficits in the U.S. Drought
Monitor (9) and are included in annual State
of the Climate reports (10). As an integrated
measure of all surface and groundwater stor-
age changes, GRACE data implicitly contain
a record of seasonal to interannual water stor-
key tools for predicting future water avail-
ability, difficult to validate. Low-resolution
GRACE data, when combined with higher-
resolution model simulations, provide an
independent constraint on simulated water
balances, while also adding spatial detail to
GRACE’s low-resolution perspective (11).
They are widely used to evaluate land surface
models used by weather and climate forecast-
ing centers around the world (12).
Evapotranspiration is a key factor in
interbasin water allocations, yet because it
disperses into the atmosphere in the vapor
phase, it confounds standard measurement
techniques. The ability of GRACE to weigh
changes in water stored in an entire river
basin allows evapotranspiration to be esti-
mated in a water balance framework (13).
Transboundary water availability issues
require sharing hydrologic data across politi-
cal boundaries. However, national hydrolog-
ical records are often withheld for political,
socioeconomic, and defense purposes, com-
plicating regional water management discus-
sions. Several studies have used GRACE data
to circumvent international data denial prac-
tices, including in those involving lakes (14),
higher spatial (<50,000 km ) and tempor
(weekly or biweekly) resolution, for exam
ple through novel orbital configurations, s
that smaller river basins and aquifers can b
observed directly.The availability of GRAC
data at these finer scales, at which most plan
ning decisions are made, would likely ensu
their broader use in water management.
The GRACE-FO mission is on sched
ule for a 2017 launch, but a next-generatio
improved GRACE mission is still unde
design and as yet unconfirmed. Given i
demonstrated contributions to date and th
potential for much more, a future without
GRACE mission in orbit would be an unfo
tunate and unnecessarily risky backward ste
for regional water management.
References
1. P. J. Durack et al., Science 336, 455 (2012).
2. K. E. Trenberth, Clim. Res. 47, 123 (2011).
3. I. M. Held, B. J. Soden, J. Clim. 19, 5686 (2006).
4. V. M. Tiwari, J. Wahr, S. Swenson, Geophys. Res. Lett. 36,
L18401 (2009).
5. B. R. Scanlon et al., Proc. Natl. Acad. Sci. U.S.A. 109,
9320 (2012).
6. K. A. Voss et al., Water Resour. Res. 49, 904 (2013).
7. B. D. Tapley et al., Science 305, 503 (2004).
8. J. T. Reager, J. S. Famiglietti, Geophys. Res. Lett. 36,
L23402 (2009).
9. R. Houborg et al., Water Resour. Res. 48, W07525 (2012
10. J. Blunden, D. S. Arndt, Eds., Bull. Am. Meteorol. Soc. 9
S1 (2012).
11. B. F. Zaitchik et al., J. Hydrometeorol. 9, 535 (2008).
12. S. C. Swenson, P. C. D. Milly, Water Resour. Res. 42,
W03201 (2006).
13. G. Ramillien et al., Water Resour. Res. 42, W10403 (2006
14. S. Swenson, J. Wahr, J. Hydrol. 370, 163 (2009).
15. J. S. Famiglietti, Abstract GC31D-01, fall meeting, AGU
San Francisco, 3 to 7 December 2012.
Mixed picture. Between 2003 and 2012, GRACE data show water losses in agricultural regions such as Cali-
fornia’s Central Valley (1) ( 1.5 ± 0.1 cm/year) and the Southern High Plains Aquifer (2) ( 2.5 ± 0.2 cm/
year), caused by overreliance on groundwater to supply irrigation water. Regions where groundwater is being
depleted as a result of prolonged drought include Houston (3) ( 2.3 ± 0.6 cm/year), Alabama (4) ( 2.1 ±
0.8 cm/year), and the Mid-Atlantic states (5) ( 1.8 ± 0.6 cm/year). Water storage is increasing in the flood-
prone Upper Missouri River basin (6) (2.5 ± 0.2 cm/year). See fig. S1 for monthly time series for all hot spots.
Data from (15) and from GRACE data release CSR RL05.
21. Summary
• Vegetation Index is dependent on amount of
irrigation
• Regular (weekly) remote sensing inspection
could allow us to:
• Appropriate irrigation zones
• Help identify regions of over watering
• Help identify any burst pipes/valves
• Optimize irrigation patterns
• Automate sprinkler system controls
• Progressively more benefit as a specific history
of the plots/site is built up
23. FUTURE Water Management
Why Agriculture? ~80% water use US (USDA 2013)
Challenges: Climate change, Drought, Population, non-ag water uses.
Water Use Efficiency: ~50% US (USDA 2004)
Water Mgmt.
“Smart-GRID*”
Delivery
Models
Basin
Geodata
Water/Crop
Status & Forecast
Water Need
Status & Forecast
Water
Agric +Others
Status & Forecast
25. CWMIS Case Example: Water Use vs. Delivery
TOP: crop water use vs. water delivery (ac-ft).
BOTTOM: water use difference (ac-ft)
Typically save at least 10%
Can be done on a field by field, campus by campus, home by home,
or golf course by golf course basis or for an entire basin.
Alfonso Torres
26.
27. Culex tarsalis
West Nile Virus
The same data infrastructure can also
be used to help combat West Nile Virus
by identifying breeding sites.
29. P. vivax is carried by the female Anopheles mosquito
30. Plasmodium vivax is a protozoal parasite and a human
pathogen. The most frequent and widely distributed
cause of recurring (Benign tertian) malaria, P. vivax is
one of the six species of malaria parasites that
commonly infect humans.[1] It is less virulent than
Plasmodium falciparum, the deadliest of the six, but
vivax malaria can lead to severe disease and death.[2]
[3] P. vivax is carried by the female Anopheles mosquito,
since it is only the female of the species that bite.
Plasmodium vivax
Plasmodium falciparum http://www.worldmalariareport.org/
31. Seasonal climatic suitability for malaria transmission (CSMT)
Climatic conditions are considered to be suitable for transmission when the monthly precipitation
accumulation is at least 80 mm, the monthly mean temperature is between 18°C and 32°C and the
monthly relative humidity is at least 60%. These thresholds are based on a consensus of the
literature. In practice, the optimal and limiting conditions for transmission are dependent on the
particular species of the parasite and vector.
Commentary: Web-based climate information resources for malaria control in Africa
Emily K Grover-Kopec, M Benno Blumenthal, Pietro Ceccato, Tufa Dinku, Judy A Omumbo and Stephen J Connor*
Malaria Journal 2006, 5:38 doi:10.1186/1475-2875-5-38
32.
33. 0 500 1,000 Km
Vectorial Capacity
In Zones with Malaria Epidemic Potential
05 August - 12 August 2013
VCAP Values
0
0 - 2
2 - 4
4 - 6
6 - 8
8 - 10
10 - 15
15 - 20
> 20
Country Boundaries
34. Satellite imagery can be used to track mosquito habitats.
High-resolution (5 m) satellite images can identify
very small water bodies, wetlands and other
malaria-relevant land-cover types.
Of the 225 million annual reported
cases of the disease, 212 million of
these occur in Africa. Of the
800,000 Malaria-related deaths
each year, 90% of these fatalities
occur in sub-Saharan Africa.
http://www.itweb.co.za/index.php?option=com_content&view=article&id=52695
35. T H R I V E
T I M E LY H E A LT H I N D I C AT O R S U S I N G R E M O T E S E N S I N G &
I N N O VAT I O N F O R T H E V I TA L I T Y O F T H E E N V I R O N M E N T
Why we care so much?
Approximately 50 million Americans have
allergic diseases, including asthma and
allergic rhinitis, both of which can be
exacerbated by PM2.5.
Every day in America 44,000 people have an
asthma attack, and because of asthma
36,000 kids miss school, 27,000 adults miss
work, 4,700 people visit the emergency
room, 1,200 people are admitted to the
hospital, and 9 people die.
38. Unprecedented levels of air pollution in Singapore and Malaysia in June led to respiratory illnesses, school closings, and
grounded aircraft. This year it was so bad that in some affected areas there was a 100 percent rise in the number of asthma
cases, and the government of Malaysia distributed gas masks.
MODIS Aqua July 21, 2013.
David Lary
44. Aqua DeepBlue
Rank Source Variable Type
1 Satellite Product Tropospheric NO2 Column Input
2 Satellite Product Solar Azimuth Input
3 Meteorological Analyses Air Density at Surface Input
4 Satellite Product Sensor Zenith Input
5 Satellite Product White-sky Albedo at 470 nm Input
6 Population Density Input
7 Satellite Product Deep Blue Surface Reflectance 470 nm Input
8 Meteorological Analyses Surface Air Temperature Input
9 Meteorological Analyses Surface Ventilation Velocity Input
10 Meteorological Analyses Surface Wind Speed Input
11 Satellite Product White-sky Albedo at 858 nm Input
12 Satellite Product White-sky Albedo at 2,130 nm Input
13 Satellite Product Solar Zenith Input
14 Meteorological Analyses Surface Layer Height Input
15 Satellite Product White-sky Albedo at 1,240 nm Input
16 Satellite Product Deep Blue Surface Reflectance 660 nm Input
17 Satellite Product Deep Blue Surface Reflectance 412 nm Input
18 Satellite Product White-sky Albedo at 1,640 nm Input
19 Satellite Product Sensor Azimuth Input
20 Satellite Product Scattering Angle Input
21 Meteorological Analyses Surface Velocity Scale Input
22 Satellite Product Cloud Mask Qa Input
23 Satellite Product White-sky Albedo at 555 nm Input
24 Satellite Product Deep Blue Aerosol Optical Depth 550 nm Input
25 Satellite Product Deep Blue Aerosol Optical Depth 660 nm Input
26 Satellite Product Deep Blue Aerosol Optical Depth 412 nm Input
27 Meteorological Analyses Total Precipitation Input
28 Satellite Product White-sky Albedo at 648 nm Input
29 Satellite Product Deep Blue Aerosol Optical Depth 470 nm Input
30 Satellite Product Deep Blue Angstrom Exponent Land Input
31 Meteorological Analyses Surface Specific Humidity Input
32 Satellite Product Cloud Fraction Land Input
In-situ Observation PM2.5 Target
45. This is a BigData Problem of
Great Societal Relevance
• Collecting data in real time from national and
global networks requires bandwidth.
• With the next generation of wearable sensors and
the internet of things this data volume will rapidly
increase.
• A variety of applications enabled by BigData,
higher bandwidth and cloud processing.
• Future finer granularity and two way
communication will dramatically increase the size
of the data bringing air quality to the micro scale,
just like weather data.
Time Taken
10 Mbps 20 Mbps 50 Mbps 1 Gbps
40 TB training data
4 Gb update
185 days 93 days 37 days 1 day 21 hours
54m 27m 11m 32s
47. Four Corners Power Plants
Sonoran Dessert
Los Angeles Area
CentralValley
Common Fire Area
Close Ups Showing Good Agreement With Observations
Alaska
(a)
(b) (c)
(d)
Great Salt Lake Desert
49. Flight
on
Nov
18,
2014
clear
skies Flight
on
Dec
04,
2014
hazy/overcast
Japan USA WHO/EU
Annual
Avg.
: 15μg/m3
Annual
Avg.
: 12μg/m3 Annual
Avg.
: 25μg/m3
24
hour
Avg.
: 35μg/m3
24
hour
Avg.
: 35μg/m3
Annual
Avg.
:20μg/m3
PM2.5
Air
Quality
Standards
Day
within
EPA
Air
Quality
Standards Day
with
exceedance
of
EPA
Air
Quality
Standards
51. Model
Airplane
Details
A
12s
5400
mAh
baLery
pack
per
motor
(current
setup)
provides
approximately
8
minutes
of
flight
Pme.
Flight
Pme
can
be
increased
by
using
higher
capacity
baLery
packs.
53. Accomplishments
To the best of our knowledge the first time the full sub-
pixel aerosol size distribution has been characterized at
high spatial resolution (sub meter) and high temporal
resolution (every second) using:
• A zero emission, low cost, electric remote control model
aircraft at multiple vertical levels in the lower most 100
m of the atmosphere.
• A car driving daily across a 10 km pixel over an extended
period.
Satellite Pixel
Full Aerosol Size Distribution
54. G E O L O C AT E D A L L E R G E N S E N S I N G P L AT F O R M
G A S P
Four objectives:
1. Develop and deploy an array of Internet of Things remote airborne
particle sensors within Chattanooga to be used to provide real-time
streamed data on hourly particulate levels, both pollen- sized (10-40
micron) and smaller (<2.5 micron) particles.
2. Deploy an in-situ pollen air sampler in Chattanooga to identify specific
pollen types.
3. Merge locally streamed data with already-collected, satellite-based
NASA data to complement and enhance the newly-collected particulate
data and generate Chattanooga-focused particulate maps.
4. Develop web-based visual tools to provide real-time pollen and smaller
particle alerts to end users such as asthma patients, health institutions,
and businesses and other institutions affected by elevated pollen levels.
55. Think Big: Holistic & Comprehensive Informatics
Bio
InformaPcs
Medical
InformaPcs
Environmental
InformaPcs
THRIVE
MulPple
Big
Data
+
EMR
+
Social
Media
+
Machine
Learning
+
Causality
A
Cross-‐cuXng
PlaYorm
for
Comprehensive
InformaPcs
for
Data
Driven
Decisions
in
Pa<ent
Centered
Care
facilitated
by
High
Speed
Low-‐Latency
networks,
mulPple
massive
datasets
from
large
distributed
sensor
networks,
EMR,
and
local
cloud
compu:ng.
56. Combine historical track issue data
and historical high resolution
meteorological data with machine
learning.
Combine Multiple Datasets
57. Satellite Images can be used
to automate the highlighting of
vegetation near the tracks
Highlight Vegetation
58. 1
Routine satellite acquisition of
multispectral and SAR imagery
2
Periodic high resolution ground
truth from aerial surveys
3
Image processing & Machine Learning
BNSF Decision Support
4
The synergy between routine satellite imagery,
periodic high resolution ground truth surveys and
automated machine learning and image processing is
a powerful combination for decision support.
Preparing for Routine Decision Support