This document summarizes the user requirements analysis conducted for the AgroFood Industry Sector as part of the EO4AGRI project. User requirements were determined by studying the needs of farmers, advisors, machinery producers, food industry, and agrochemistry companies. A total of 29 key user requirements were identified and described based on current and future needs for data collection, processing, availability, and automation. The document concludes with recommendations to the European Commission on minimum specifications for future Copernicus Sentinel satellite missions to better support the identified user requirements.
David Kolitzus:
Towards a Knowledge Hub on Earth Observation for Agriculture
User Driven Requirements
It’s all about agriculture
Elements of the Knowledge Hub
Community building, connecting the dots
Karel Charvat contributed with following topics:
Policy or international initiatives
What can do EO for Food security
Global monitoring initiatives related to EO
Project focused on local monitoring in developing countries
Nairobi Hackathon conclusion
David Kolitzus:
Towards a Knowledge Hub on Earth Observation for Agriculture
User Driven Requirements
It’s all about agriculture
Elements of the Knowledge Hub
Community building, connecting the dots
Karel Charvat contributed with following topics:
Policy or international initiatives
What can do EO for Food security
Global monitoring initiatives related to EO
Project focused on local monitoring in developing countries
Nairobi Hackathon conclusion
Action 4.2.1 «Processing, trade and/or development of agricultural products with final product within the Annex Ι of the Treaty of the Operation of the European Union (agricultural product)».
"Adopting Promising Agricultural Technologies: The Role of Policies and Trade" by Guillaume Gruere, Trade and Agriculture Directorate Organisation for Economic Co-operation and Development. Presented at the Food Security in a World of Growing Natural Resource Scarcity event hosted by IFPRI on February 12, 2014 at the Newseum.
Presentation for a Chinese delegation from the Fujian province that did a study tour in The Netherlands. I presented the work LEI Wageningen UR is doing on Information Management & ICT in Agri-Food by highlighting project work.
Deliver Mechanisms to Accelerate Dissemination: Building BridgesHillary Hanson
Scientific and Technical Partnerships in Africa: Technologies, Platforms, and Partnerships in support of the African agricultural science agenda, Abidjan, Cote d'Ivoire, April 4&5, 2017
Action 4.2.1 «Processing, trade and/or development of agricultural products with final product within the Annex Ι of the Treaty of the Operation of the European Union (agricultural product)».
"Adopting Promising Agricultural Technologies: The Role of Policies and Trade" by Guillaume Gruere, Trade and Agriculture Directorate Organisation for Economic Co-operation and Development. Presented at the Food Security in a World of Growing Natural Resource Scarcity event hosted by IFPRI on February 12, 2014 at the Newseum.
Presentation for a Chinese delegation from the Fujian province that did a study tour in The Netherlands. I presented the work LEI Wageningen UR is doing on Information Management & ICT in Agri-Food by highlighting project work.
Deliver Mechanisms to Accelerate Dissemination: Building BridgesHillary Hanson
Scientific and Technical Partnerships in Africa: Technologies, Platforms, and Partnerships in support of the African agricultural science agenda, Abidjan, Cote d'Ivoire, April 4&5, 2017
APPLICATION OF BIG DATA IN ENHANCING EFFECTIVE DECISION MAKING IN AGRICULTURA...Sjaak Wolfert
The agriculture production system increasingly becomes data-driven and data-enabled based on the cyber-physical management cycle. This paper describes several IoT-applications of the EU-funded IoF2020 project in which data and data-sharing plays a crucial role. It provides an integrative framework aiming at cross-fertilisation, co-creation and co-ownership of results. Technical integration, business support and ecosystem development are key mechanisms to realize this.
Issue 2 (M8), was released in October 2014. It was mainly dedicated to the progresses related to pilot scenarios and FOODIE Service Platform Specification, based on the initial elicitation of FOODIE pilots’ descriptions and end-user requirements for the scope of tailoring the services that will fulfil user concrete and daily needs.
Agro IR 4.0-smart and next generation agro-farming-Fab labs to make anythingAbulHasnatSolaiman
Agriculture 4.0 is a term for the next big trends facing the industry, including a greater focus on precision agriculture, the internet of things (IoT) and the use of big data to drive greater business efficiencies in the face of rising populations and climate change. Makerspaces or Fab labs around the world can contribute in big margin to make prototypes reducing cost and makerspaces will be actions towards IR 4.0 in Bangladesh
Open Call Preparation Webinar | How to write a successful proposalICAERUS1
The webinar about Horizon Europe projects ICAERUS and TITANs’ Open Calls was held on November 8, 2023. The presentation provides all the necessary information for writing a successful proposal.
CONTENTS:
1. ICAERUS
• ICAERUS at a glance
• ICAERUS Open Calls
• Application overview
• FAQS
• Proposal breakdown
• Questions
2. TITAN
• TITAN project
• TITAN Open Call
• FAQS
• Decoding the application
• Questions
3. Summary of key differences between the ICAERUS and TITAN applications
AgriBigCAT: An Online Platform for Estimating the Impact of Livestock Agricul...Andreas Kamilaris
Intensive farming has been linked to excessive accumulation of heavy metals and other contaminants on soil, and to significant groundwater pollution with nitrates. Hence, it is necessary to develop a common body of knowledge, so as to allow an effective monitoring of cropping systems, fertilization and water demands, and impacts of climate change, with a focus on the sustainability and the protection of the physical environment. In this presentation, we describe AgriBigCAT, an online software platform that uses geophysical information from various diverse sources, employing geospatial and big data analysis, together with web technologies, in order to estimate the impact of the agricultural sector on the environment. It considers land, water, biodiversity and natural areas requiring protection, such as forests and wetlands. This platform can assist both the farmers' decision-taking processes and the administration planning and policy-making, with the ultimate objective of meeting the challenge of increasing food production at a lower environmental impact. An online application of AgriBigCAT, focusing on the local environmental issues of the agricultural sector of Catalonia, is presented and described, together with some preliminary analysis findings. This presentation has been prepared for the EFITA 2017 Congress in Montpellier.
M2M/IoT Applications in the Agricultural Industryjohanfagerberg
How will the market for agricultural M2M and IoT applications evolve in 2018 and beyond? Berg Insight covers the latest trends and developments in the emerging smart farming market. Berg Insight forecasts that the number of installed wireless devices for applications in agricultural production is forecasted to grow at a CAGR of 10.0 percent from 17.0 million connections at the end of 2016 to 27.4 million connected devices by 2021. Cellular connections amounted to 0.8 million at the end of 2016 and is expected to grow at a CAGR of 30.2 percent to reach 3.1 million in 2021. Get up to date with the latest information about vendors, products and markets.
Conveyor Belt Market Growth, Demand and Challenges of the Key Industry Player...IMARC Group
The global conveyor belt market size reached US$ 6.8 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 8.7 Billion by 2032, exhibiting a growth rate (CAGR) of 2.7% during 2024-2032.
More Info:- https://www.imarcgroup.com/conveyor-belt-market
The global market for uv disinfection equipment is expected to grow from $ 305.3 million in 2021 to $ 399.0 million in 2026. The market is expected to grow at a CAGR of 5.5% over the forecast period (2021-2026). Some of the market's key participants are American Ultraviolet, Getinge Group, Ju Guang, LAOKEN, Lumalier, STERIS, Shinva, UltraViolet Devices, Xenex. This report intends to identify significant growth areas and to explore relevant market strategies. This in-depth analysis delves into the global market for uv disinfection equipment. The primary goal of this research is to examine the potential growth areas, significant trends, and the market's impact on the industry. The report also reviews the adoption of uv disinfection equipment in both established and emerging markets.
Similar to 20190925 agri futureday workshop eo4agri-userrequiremntsfarmersv1 (20)
Agrihub INSPIRE Hackathon 2021: Challenge #7: Analysis, processing and standa...plan4all
This is a presentation of results of Challenge #7: Analysis, processing and standardisation of data from agriculture machinery for easier utilization by farmers of the Agrihub INSPIRE Hackathon 2021.
Calculation of agro climatic factors from global climatic dataplan4all
Authors: Pavel Hájek,
Raitis Berzins , Jiří Valeš, Martin Pitoňák , Vincent
Onckelet , Tomáš Andrš, Veronika Osmiková , Ronald
Ssembajwe , Amit Kirschenbaum , Jörg Schliesser , Michal Kepka & Karel Jedlička
Digitalization of indigenous knowledge in African agriculture for fostering f...plan4all
Authors:
Antoine Kantiza, AKANTIZA CONSULT, Burundi
Didier Muyiramye, Swedish University of Agricultural Sciences, Rwanda
Elias Cherenet Weldemariam, HARAMAYA UNIVERSITY, Ethiopia
Petr Horak, WIRELESSINFO, Czech Republic
Robert Sabimana, Frutus Fresco Ltd, Uganda
Pavel Hajek, West Bohemia University, Czech Republic
Tuula Löytty, Smart & Lean Hub Oy, Finland
Demet Osmancelebioglu, Smart & Lean Hub Oy, Finland
Karel charvat map-compositions-format-intro-presentation-by-karel (1)plan4all
Karel Charvat on behalf of Plan4all, Lesprojekt, BOSC and Asplan Viak gave a presentation about the project to create a Google Docs-like map application and map composition format.
Karel charvat map-whiteboard-collaborative-map-making-breakout-sessionplan4all
Karel Charvat on behalf of Plan4all, Lesprojekt, BOSC and Asplan Viak gave a presentation about the project to create a Google Docs-like map application and map composition format.
Artificial Reefs by Kuddle Life Foundation - May 2024punit537210
Situated in Pondicherry, India, Kuddle Life Foundation is a charitable, non-profit and non-governmental organization (NGO) dedicated to improving the living standards of coastal communities and simultaneously placing a strong emphasis on the protection of marine ecosystems.
One of the key areas we work in is Artificial Reefs. This presentation captures our journey so far and our learnings. We hope you get as excited about marine conservation and artificial reefs as we are.
Please visit our website: https://kuddlelife.org
Our Instagram channel:
@kuddlelifefoundation
Our Linkedin Page:
https://www.linkedin.com/company/kuddlelifefoundation/
and write to us if you have any questions:
info@kuddlelife.org
Diabetes is a rapidly and serious health problem in Pakistan. This chronic condition is associated with serious long-term complications, including higher risk of heart disease and stroke. Aggressive treatment of hypertension and hyperlipideamia can result in a substantial reduction in cardiovascular events in patients with diabetes 1. Consequently pharmacist-led diabetes cardiovascular risk (DCVR) clinics have been established in both primary and secondary care sites in NHS Lothian during the past five years. An audit of the pharmaceutical care delivery at the clinics was conducted in order to evaluate practice and to standardize the pharmacists’ documentation of outcomes. Pharmaceutical care issues (PCI) and patient details were collected both prospectively and retrospectively from three DCVR clinics. The PCI`s were categorized according to a triangularised system consisting of multiple categories. These were ‘checks’, ‘changes’ (‘change in drug therapy process’ and ‘change in drug therapy’), ‘drug therapy problems’ and ‘quality assurance descriptors’ (‘timer perspective’ and ‘degree of change’). A verified medication assessment tool (MAT) for patients with chronic cardiovascular disease was applied to the patients from one of the clinics. The tool was used to quantify PCI`s and pharmacist actions that were centered on implementing or enforcing clinical guideline standards. A database was developed to be used as an assessment tool and to standardize the documentation of achievement of outcomes. Feedback on the audit of the pharmaceutical care delivery and the database was received from the DCVR clinic pharmacist at a focus group meeting.
Willie Nelson Net Worth: A Journey Through Music, Movies, and Business Venturesgreendigital
Willie Nelson is a name that resonates within the world of music and entertainment. Known for his unique voice, and masterful guitar skills. and an extraordinary career spanning several decades. Nelson has become a legend in the country music scene. But, his influence extends far beyond the realm of music. with ventures in acting, writing, activism, and business. This comprehensive article delves into Willie Nelson net worth. exploring the various facets of his career that have contributed to his large fortune.
Follow us on: Pinterest
Introduction
Willie Nelson net worth is a testament to his enduring influence and success in many fields. Born on April 29, 1933, in Abbott, Texas. Nelson's journey from a humble beginning to becoming one of the most iconic figures in American music is nothing short of inspirational. His net worth, which estimated to be around $25 million as of 2024. reflects a career that is as diverse as it is prolific.
Early Life and Musical Beginnings
Humble Origins
Willie Hugh Nelson was born during the Great Depression. a time of significant economic hardship in the United States. Raised by his grandparents. Nelson found solace and inspiration in music from an early age. His grandmother taught him to play the guitar. setting the stage for what would become an illustrious career.
First Steps in Music
Nelson's initial foray into the music industry was fraught with challenges. He moved to Nashville, Tennessee, to pursue his dreams, but success did not come . Working as a songwriter, Nelson penned hits for other artists. which helped him gain a foothold in the competitive music scene. His songwriting skills contributed to his early earnings. laying the foundation for his net worth.
Rise to Stardom
Breakthrough Albums
The 1970s marked a turning point in Willie Nelson's career. His albums "Shotgun Willie" (1973), "Red Headed Stranger" (1975). and "Stardust" (1978) received critical acclaim and commercial success. These albums not only solidified his position in the country music genre. but also introduced his music to a broader audience. The success of these albums played a crucial role in boosting Willie Nelson net worth.
Iconic Songs
Willie Nelson net worth is also attributed to his extensive catalog of hit songs. Tracks like "Blue Eyes Crying in the Rain," "On the Road Again," and "Always on My Mind" have become timeless classics. These songs have not only earned Nelson large royalties but have also ensured his continued relevance in the music industry.
Acting and Film Career
Hollywood Ventures
In addition to his music career, Willie Nelson has also made a mark in Hollywood. His distinctive personality and on-screen presence have landed him roles in several films and television shows. Notable appearances include roles in "The Electric Horseman" (1979), "Honeysuckle Rose" (1980), and "Barbarosa" (1982). These acting gigs have added a significant amount to Willie Nelson net worth.
Television Appearances
Nelson's char
Natural farming @ Dr. Siddhartha S. Jena.pptxsidjena70
A brief about organic farming/ Natural farming/ Zero budget natural farming/ Subash Palekar Natural farming which keeps us and environment safe and healthy. Next gen Agricultural practices of chemical free farming.
Micro RNA genes and their likely influence in rice (Oryza sativa L.) dynamic ...Open Access Research Paper
Micro RNAs (miRNAs) are small non-coding RNAs molecules having approximately 18-25 nucleotides, they are present in both plants and animals genomes. MiRNAs have diverse spatial expression patterns and regulate various developmental metabolisms, stress responses and other physiological processes. The dynamic gene expression playing major roles in phenotypic differences in organisms are believed to be controlled by miRNAs. Mutations in regions of regulatory factors, such as miRNA genes or transcription factors (TF) necessitated by dynamic environmental factors or pathogen infections, have tremendous effects on structure and expression of genes. The resultant novel gene products presents potential explanations for constant evolving desirable traits that have long been bred using conventional means, biotechnology or genetic engineering. Rice grain quality, yield, disease tolerance, climate-resilience and palatability properties are not exceptional to miRN Asmutations effects. There are new insights courtesy of high-throughput sequencing and improved proteomic techniques that organisms’ complexity and adaptations are highly contributed by miRNAs containing regulatory networks. This article aims to expound on how rice miRNAs could be driving evolution of traits and highlight the latest miRNA research progress. Moreover, the review accentuates miRNAs grey areas to be addressed and gives recommendations for further studies.
UNDERSTANDING WHAT GREEN WASHING IS!.pdfJulietMogola
Many companies today use green washing to lure the public into thinking they are conserving the environment but in real sense they are doing more harm. There have been such several cases from very big companies here in Kenya and also globally. This ranges from various sectors from manufacturing and goes to consumer products. Educating people on greenwashing will enable people to make better choices based on their analysis and not on what they see on marketing sites.
1. Initial Workshop - User Requirements
AgroFood Industry Sector requirements
Wednesday 25th September 2019, 11:00 – 12:00
Vaclav Safar, Wirelessinfo CZ
This project has received funding from the European Union’s
Horizon 2020 research and innovation programme under
grant agreement No 821940
www.EO4AGRI.eu
Bringing together the knowledge
for better Agriculture Monitoring
2. 2www.eo4agri.eu
We analyse needs of different stakeholders -
potential users of information derived from Remote
Sensing Data especially data from Copernicus satellite
(and from other sources – aerial photogrammetry and
UAV too, in-situ measuring, …)
User Requiremnets of AgroFood Industry
Sector
5. 5www.eo4agri.eu
Spectral bands for the Sentinel-2 sensors diagram Copernicus
described area of interest by red ellipse, which is point of
interest EO4AGRI
Data sources – satellite Sentinel
18. 18www.eo4agri.eu
User requirements of AgroFood Industry
Sector
User requirements were determined by studying
the needs of the following groups:
1. farmers,
2. advisors,
3. machinery producers,
4. food industry,
5. agro chemistry and market.
19. 19www.eo4agri.eu
AgroFood Industry Sector - Dividing
User Requirements by group
AgroFood-Industry Sector – scheme of sector
Aerial
photo
Landsat
, Spot,
…
In-situ
mesur.
29. 29www.eo4agri.eu
Indexes , DTM, inspect, soil, insurance, crop production
AgroFood Industry Sector - Dividing UR
by group – Consultants and agriculture
service providers
30. 30www.eo4agri.eu
Indexes , DTM, inspect, soil, insurance, crop production
AgroFood Industry Sector - Dividing UR
by group – Consultants and agriculture
service providers
31. 31www.eo4agri.eu
Indexes , DTM, inspect, soil, insurance, crop production
AgroFood Industry Sector - Dividing UR
by group – Consultants and agriculture
service providers
33. 33www.eo4agri.eu
• First level
• Second level
• Third level
• Fourth level
• Fifht level
AgroFood Industry Sector - Dividing UR
by group – Agrochemical Industry
Companies
34. 34www.eo4agri.eu
• First level
• Second level
• Third level
• Fourth level
• Fifht level
AgroFood Industry Sector - Dividing UR
by group – Agrochemical Industry
Companies
35. 35www.eo4agri.eu
• First level
• Second level
• Third level
• Fourth level
• Fifht level
AgroFood Industry Sector - Dividing UR
by group – Agrochemical Industry
Companies
36. 36www.eo4agri.eu
•traditional tractor manufacturers, which can also offer
sensors and software solutions. E.g. John Deere, Claas, CNH,
AGCO
•traditional suppliers, big companies of complementary
hardware for tractors (steering, application controlling),
software (monitoring), parts of the tractor equipment and
aftermarket services: Raven industries, Trimble, Topcon or Ag
Juction
•following companies also provide farmers with software
packages sensors, software and some services: Monsanto,
Bayer , Corteva Agriscience, Geo-Prospect, Syngenta, BASF,
YARA, Water sensor
AgroFood Industry Sector - Dividing UR
by group – Manofactures of agricultural
machinery
39. 39www.eo4agri.eu
A typical farmer in Europe owns 16ha of land. However, this
value is very variable in different countries of the European
Union. There are 760 farms (16,3%) in the Czech Republic, which
farm on an area of more than 1150 hectares and cultivate 91% of
agricultural land. Even family farms often have more than 800ha.
In the Czech Republic, over 50% of farms are smaller than 5 ha
and they account for a total of only 1.1%. Although most of the
farms in the EU were small; 65% of EU agricultural holdings
were smaller than 5 ha, 7% of farms with 50 ha or more
managed far more than two-thirds (68%) of EU farmland.
AgroFood Industry Sector - Dividing UR
by group – Farmers
41. 41www.eo4agri.eu
The farm usually concludes a contract with the agriculture service
providers for delivering the data :
•data collecting of the land site variability
•detailed analysis of information on a specific plot of land
•data used for agronomic recommendations
•crop yield maps
•monitoring appearance of disease or damage
•estimating the extent of disease or damage (loss)
•validity measurement also on sustainable and long-term factors
•agronomic information related with sowing, organic fertilization
etc.
•maps of accessible nutrients, soil reaction, sorption complex
status
•plan for using pesticide
•sensory measurements and exhausted soil
•erosion precaution
AgroFood Industry Sector - Dividing UR
by group – Farmers
42. 42www.eo4agri.eu
We still found 80 european projects that will somehow
affect these users of AgroFood industry:
• IT and cloud service providers
• Software product companies
• Consultants and agriculture service providers
• Farmers
• Agrochemical Industry Companies
• Manufacturers of agricultural machinery
AgroFood Industry Sector - Dividing UR
by group – Farmers
43. 43www.eo4agri.eu
AFarCloud ECoLaSS IoF2020 RE-CAP
AGRICAB ECOPOTENTIAL ISAC REDDAF
AgriCLASS EKLIPSE MARS-FOOD REDDINESS
AgriXchange EO4SDdevelopment MEDEO RISE
Ami4For EO4wildlife MS.MONINA SAGA-EO
APOLLO EOVAS MULTIPLY SDI4Apps
AQUACROSS EUXDAT MyWater Sen2Agri
ASAP FATIMA NADiRA6 SEN3APP
BACI FIGARO NextGEOSS SEN4CAP
BALKANGEONET FOODIE NextSpace SENSAGRI8
BDVe ForMoSA NIVA SenSyF
BRAGMA FUTURE Farm Open EO SNAP
CANDELA GEOGLAM PANDA Soil moisture CCI
CCI Open Data GEONETCAB Perspective- Sentinel7 SWITCH-ON
CD-LINKS Georice PILOT4CAP SWOS
ConnectinGEO GIONET Plan4business Talking Fields
DataBio GMES PURE PREMIA TRANSrisk
DIABOLO HELM QA4EVC TWINBAS
DIANA IMAGINES RAMFLOOD VOICE
EAU4FOOD INFORM RASOR VGT4AFRICA
AgroFood Industry Sector - Dividing UR
by group – Farmers
44. 44www.eo4agri.eu
Based on the study projects were developed table
user requirements:
AgroFood Industry Sector - Dividing UR
by group – Farmers
45. 45www.eo4agri.eu
A total of 29 user requirements in rank of
AgroFoodIndustry Sector
AgroFood Industry Sector - Dividing UR
by group – Farmers
Data collecting of the land site variability (land uniformity and heterogeneity)
Data for determining the height of the crop
Data used for forecast of agricultural yields
Data for real crop yield maps
Data for determining of crop rotation
Data for monitoring buffer strips around agricultural fields.
Data for monitoring appearance of disease or damage
Data for estimating the extent of disease or damage (loss)
Data for plan for using insectids
Data for plan for using fungicide
Data for plan for using pesticide
Data for monitoring of hydrological stress
Data for soil water index
Data for water needs for irrigation,
Data of weather forecast
46. 46www.eo4agri.eu
A total of 29 user requirements in rank of
AgroFoodIndustry Sector
AgroFood Industry Sector - Dividing UR
by group – Farmers
Data for production maps of soil reaction
Data for measuring of worn-out (exhausted) soil
Data to create maps sprouting crops
Data for production maps of basic fertilizer
Data for production maps of fertilizer in the phenophase 30-34
Data for erosion precaution
Data for production map of land surface temperature
Data for providing a drought early warning system.
Data for high spatial resolution images are needed monthly (minimum 3 in
season) for calibration purposes of agricultural products.
Data for valorizacion of irrigation efficiency service
Data for production exact information about climatic changes
Data for measure available herbage mass and grass intake
Use drones that are able to carry and deliver props like herbicides, fertilizer, and
water
Data for sensorization of animals and crops wit use of drones.
47. 47www.eo4agri.eu
Each user requirements had 24 attributes:
1 The main user group AgroFood Industry
2 Secondary user group AgroFood Industry
3 Tertiary user group AgroFood Industry
4 Quaternary user group AgroFood Industry
5
Coverage (The most detailed coverage level is indicated, smaller are
acceptable)
6 Frequency requirements
7 Usually used technology to collect data, present
8 Usually used type of sensor for data collection
9 Usually the required spatial resolution of input data
10 The future required spatial resolution of input data
11 Present required final data grid
12 Required spatial resolution in the future
13 Degree of availability - present
14 Degree of availability future
15 The degree of automation of data creation today
16 The degree of data generation automation in the future
17 The degree of necessity of data for farmers
…. ….
…. ….
Description of the process of defining
user requirements
48. 48www.eo4agri.eu
Each attributes had from 5 to 8 characteristic -
example:
Description of the process of defining
user requirements
Coverage (The most detailed
coverage level is indicated,
smaller are acceptable)
Frequency
requirements
Usually used
technology to collect
data, present
Usually used type of
sensor for data
collection
E = for all coverages R - SAR
G = Global Y - year E - equally all methodsA - all methods equally
C = Continental Q - quarter O - others (errand in
the field, laboratory
test, etc.)
O - others (soil moisure
sensor, sensor of
wheather, soil
temperature sensor,
yeild senzor etc.)
U = EU M - monthly T - terrestrial S - spectrometer
N = National W - weekly U - UAV G - camera RGB
R = Region D - daily G - UGV M - multispestral sensor
F = Field H - hourly A - aerial H - hyperspectral sensor
P = Parcel
X - at a given
moment S - satellite T - thermal senzor
49. 49www.eo4agri.eu
Our current recommendation to the
European Commission to secure the
future needs of Sentinel:
Requirements - minimal parameters of sensors for next missions
Sentinel.
For future: L-band SAR imagery with resolution 5 m or better, dual pol systems, revisit time 5
days
For future: C-band SAR with resolution 2m or better, dual pol systems, revisit time 4 days
For future: X-band SAR with resolution 1m or better, dual pol systems , revisit time 4 days
For future: RGB camera with resolution 0,86m or better, revisit time 7 days
For future: Multispectral camera with resolution 1,24m or better, revisit time 3 days
For future: Hyperspectral camera with minimal 50 bands from VNIR (or better), with resolution
5m (or better), revisit time 3 day
For future: Hyperspectral camera with minimal 40 bands SWIR (or better), with resolution 10m
(or better) , revisit time 3 days
Description of the process of defining
user requirements
50. Thank you for your attention
Ing. Václav Šafář, Ph.D.
Vaclav.safar@vugtk.cz
www.EO4AGRI.eu
This project has received funding from the European
Union’s Horizon 2020 research and innovation
programme under grant agreement No 821940