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Using Earth Observation to Support Climate Smart Agriculture
Amos Kabo-bah Head, EORIC [email protected] Tel: +233 543859721
Kamila Kabo-bah EORIC [email protected] Tel: +233 261300730
SEACRIFOG Project Stakeholder Consultation Workshop
Outline
• Brief on UENR
• Activities in EORIC for Climate Smart Agriculture
• Conclusion
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University of Energy and Natural Resources
The University of Energy and Natural Resources (UENR) was established by an Act of Parliament, Act 830, 2011 on December 31, 2011. The University is a public funded national institution which seeks to provide leadership and management of energy and natural resources and be a centre of excellence in these critical areas.
• School of Engineering;
• School of Sciences;
• School of Geosciences;
• School of Agriculture and Technology;
• School of Natural Resources; and
• School of Graduate Studies
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UENR-School of Agric. and Technology
• Animal Production and Health
• Agricultural Economics, Agribusiness and Extension
• Horticulture and Crop Production
• Food Science and Technology
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• Departments
EORIC
5 Dr. Amos Kabo-Bah
- Climate Informatics - High Performance Computing
EORIC
6 Dr. Amos Kabo-Bah
Direct Broadcast Earth Observation Satellite
Ground Station (EOS-DB)
Automatic Weather Station EUMETSAT Reception Station
High Performance Computing
CLIMATE FLUXES MONITORING TOWER The Centre is far advanced to acquire and set up a flux tower. This flux tower will be able to determine exchange rates of carbon dioxide between the forests and the atmosphere. The information gathered plays into the debate on the measurable effects of climate change.
Land suitability assessment of for development of rice-based systems in
Togo and Benin
What is AFIS …. It supports both ground based resources through mobile solutions and dispatch control centers with the fire dashboard and integrates with any existing GIS platforms and CMS's It dynamically links fire incidents with weather, fire danger and historical events for improved decision making It is a hosted Software Solution which provides a proactive service with out the need for specialised IT support
Wildfire Information Monitoring and Visualization framework that allows for the integration of any data source Developed in partnership with fire managers from the forestry and utilities domain over more than 10 years Fully integrates satellite based and forest camera detections in to seamless detection network.
AFIS Online Webviewer Transmission Line Fire Risk Information
• Transmission servitude buffer GIS layer in the system
• Active fire locations near the transmission line from 5 different satellites daily
• Historic fire risk (12 years) within the servitude
Asset Monitoring • Web viewer for correlating all asset
information with geolocated fire information
• Historic Fire Risk map for all fixed assets locations
Weather and Fire Danger Forecast • Web viewer showing 5 day forecast of
weather information • 5 day forecast of Fire Danger Index
Mobile apps Available on both iOS and Android, AFISMobile brings critical fire
management information to you where ever you are. Automated alerting to SMS, email or push notifications
AFIS Services
“MODIS Fires; 5.64 km NE of Reference Point ; 28.33E -25.885S At 2013-06-06 T13:45:00 +02:00”
“VIIRS Fires; 5.64 km NE of Reference Point ; 28.33E -25.885S At 2013-06-06 T13:45:00 +02:00”
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Active Fire
Fully interactive map with location and
number of fire events per area.
Define Points of interest
Active Fire Incident Table
Interactive list of active fires, detection times
and link to the fire location.
Fire Danger Forecasting
Interactive layer with the daily
point/area FDI/FWI, including a 5
day forecast.
Forecasting of fire danger
Data from AFIS is fed into
regional Models to produce FDI
maps
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Wind flow animation
Regional wind flow map
from global model
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Weather Forecasts
Regional forecast
temperature, and wind
speed/direction
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Jan Feb March April May June July Aug Sept Oct Nov Dec
South
North
Statistics and Reports
Analytics Statistics and Reports are auto generated
for users and available in the dashboard, online viewer or direct email
Algorithms developed for LandSat 8 and Sentinal. With a 7 day revisit rapid burn scar maps are generated for priority events
AFIS Dashboard able to retrieve and display all burn scar areas on request. Priority fires can be escalated for rapid assessments
AFIS Reports generated automatically and sent out to user with stats on area and vegetation type burned
Auto loaded into AFIS online viewer and linked to users profile. Routine burn area maps generated monthly.
Integrating Low Cost Drones for Improving Agricultural Production In Ghana
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Project Overview
• In 2003, Ghana developed a policy document on the ICT for Accelerated Development (ICT4AD) which emphasised the importance of ICT for agriculture
• Effective farm management to reduce crop losses through diseases, crop stress etc. is very difficult using traditional methods
• Traditional methods of planting is becoming obsolete and unattractive especially for the youth in Ghana
• The use of modern tools such as drones and computers provides the best means for improved decision making in agriculture
• Drones can therefore be used to enhance the overall cropping stages during farming.
• Therefore, the project seeks to pilot the application of drones for improved agricultural production in Savannah Accelerated Development Authority (SADA) zone of Ghana.
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SADA Zone
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Project Objective
First Year • To recruit 3 PhD and 3 Master students to work jointly in the applications
of drones for following areas: • Soil Analysis • Crop Monitoring and Health • Planting
• To review the existing sensors, technologies and software that can support the application of Soil Analysis, Crop Monitoring and Health
• To assess the existing technologies that are available for the planting purposes
• To develop tailored-made applications for the application of drones for pilot farm cases in the three core areas (To be done by selected students jointly with selected farmers)
Second and Third Years • To develop tailor-made cost effective drones (sensors and technology)
that best suited for Ghanaian farm-based situations • To establish a Centre of Excellence for the training of professionals in the
use of drones for precision agriculture
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Relevance with the National Agenda
• Ghana has a policy for ICT4AD, and is closely following the ICT for Accelerated Agriculture (ICT4AG).
• Drones are used widely in Ghana for various issues, and recently the Government has earmarked the use of drones for fighting illegal mining and illegal logging.
• There are also promised efforts to consider the use of drones for boosting the agricultural sector especially for commercial agricultural farms such as Cocoa and Cashew.
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Licensing of Drones
• The Ghana Civil Aviation Authority, the body in charge of running the country’s aviation industry under the Ghana Civil Aviation Safety Regulations, 2011, Legislative Instrument (LI) 2000 is to regulate and register all drones to be used in Ghana.
• The Earth Observation Research and Innovation Centre (EORIC) has already requested for licenses in the use of drones for various experimental studies.
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Benefits of the Project
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Planting
• Drone-planting systems can achieve an uptake rate of 75% and decrease planting costs by 85 %.
Soil Analysis
• 3-D maps for early soil analysis, useful in planning seed planting patterns.
• After planting, drone-driven soil analysis provides data for irrigation and nitrogen-level management
Crop Monitoring and Health
• Crop spraying
• Crop health assessment
• Crop monitoring
Expected Outputs
• The capacity of 3 MSc and 3PhD students in the use of drone technology for precision agriculture would be built.
• Tailored-made cost effective drones for use for planting, soil and crop monitoring for the SADA zone.
• Farmers in the SADA zone capacity enhanced in the use of drones for farm management.
• A Centre of Excellence established for the education of the use of technologies for enhancing food production and food security for Ghana.
• Several relevant publications in SCI journals on the use of drone technology for precision agriculture.
• Workshop and Seminars proceedings of community based education forums of farmers
• An established conference series established as a bi-annual event for the use of low-cost technologies for precision agriculture for Ghana and Africa
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Project Implementation Organisation
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Lead PI
Co-PI
Target Group
Experts & Technology
Experts/Students
Farmers
Mapping Small Scale Mining vrs Land Use using EO data
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INTRODUCTION Ghana is really blessed with a lot of natural
resources. Almost every part of the country has
a mineral deposited in its region, but the proper
management of this has led to it depletion and
some even getting extinct.
Spatially and timely referenced information on
the extent of “ASM” in our country is needed
to understand and limit the negative impact
associated with it.
So far, there has not been adequate research
conducted to determined the extent of this
“ASM” activities on our natural resources. This
has been a major problem because, most of
these researches are based on local evidence
such as interviews from farmers etc.
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INTRODUCTION
The negative environmental and
socioeconomic impacts of “ASM”
are expressions of informality.
A timely and comprehensive map on
“ASM” is very important to measure
the extent of the problem, and also to
design ground measurement
campaigns to evaluate the magnitude
and extent of the pollution.
Monitoring the evolution of “ASM”
is also valuable for the inter-
ministerial task force against illegal
mining to better target their
intervention (Former President
Dramani Mahama).
The majority of miners in Ghana
operate informally, due to part to
barriers associated with obtaining
land and a licence.
This informality has given rise to a
host of environmental and social
problems in Ghana, such as the
pollution and destruction of water
bodies, degradation of arable
farmland, as well as the negative
health impacts of working in
hazardous conditions; this has been
the focus in the Ghanaian media,
which tends to depict the entire
“ASM” sector in a negative and
damaging light.
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Map the extents of ASM
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Landsat 1986, 2000, 2001
Sentinel 2017
Classification -QGIS Map Production -ArcGIS
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METHODS
Results
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Using EO to support BioRemote Fuel Project
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Limited access to energy Soil degradation: high run-off rate, low income
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Objectives
improve oil productivity of
Jatropha Curcas’ grains
reduce dependency on
fossil fuel
cut down carbon
emission
promote healthy
environment
jobs opportunity
for young and women
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Activities & Innovation
• Direct insight in crop water
status (optimization of
production)
• Areas of low crop water use
can be identified
• Avoid water competition
with other crops
Reduce run-off
Evapotranspiration map
• Improve oil extraction with
appropriate solvent
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FormoSat-7 / COSMIC-2 (Constellation Observing System for Meteorology, Ionosphere and Climate)
Baseline Ground Station Architecture
The program has agreed to establish
a ground station in UENR-Ghana to
improve data latency. Installation is
scheduled to be completed by July,
2017.
Applications for Daily Weather Forecast for Farmers
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