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Last updated on 2022-12-30

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Stephen Aboagye-Ntow

Position

Research Technologist.

Remote Sensing and Climate Center,Ghana Space Science and Technology Institute - Ghana Atomic Energy Commission

Accra

September, 2019 - Present

Education

CODATA-RDA Research Data Science Summer School

Certificate in Research Data Science

ICTP (virtual)

July 11 - July 22, 2022

Areas Covered

  • Author Capentary
  • Machine Learning with R
  • Reproducible Research
  • Research Data Management
  • Computational Infrastructure
  • Information Security

University of Carlifornia, Davis

Cerificate in SQL Basics for Data Science

Coursera

March, 2021

Specialization

Duke University

Certificate in Data Analysis with R

Coursera

November, 2020 - December, 2021

Specialization

Course under completion

  • Bayesian Statistics

Johns Hopkins University

Certificate in Data Science: Foundations using R

Coursera

August, 2020 - October, 2020

Specializations

University of Cape Coast

BSc. Geography and Regional Planning
Major:Physical Geography

Cape Coast

September, 2012 - May 2016

Areas

  • Statistics
  • Operations Research
  • Climatology
  • Hydrology
  • Geomorphology
  • Oceanography
  • Remote Sensing
  • GIS

Professional Training

Data Camp

Machine Learning Scientist with R

Data Camp

October 2022 - Present

Courses

  • Supervised Learning
  • Unsupervised Learning
  • Support Vector Machines
  • Cluster Analysis
  • Bayesian Statistics
  • Hyperparameter Tuning

Data Camp

Certificate: Optimizing R code with C++.

Data Camp

July, 2022

Data Camp

Certificate: Shell Scripting/Git

Data Camp

September, 2021 - October, 2021

Courses

Data Camp

Certificate: Big Data with R Track

Data Camp

March, 2021 - July, 2021

Specializations

Google Earth Engiine

Certificate in Complete Google Earth Engine for Remote Sensing and GIS

Udemy

January, 2021

Topics

  • Javascript
  • User Defined Functions (Javascript)
  • Raster and Vector Data Manipulation in Google Earth Engine
  • Pan Sharpening
  • Texture indices
  • Spectral unmixing
  • Atmospheric Correction
  • Unsupervised Classification
  • Hansen Forest Data Loss

Full content of this course can be found HERE

Google Earth Engiine (Big Geodata)

Certificate in Google Earth Engine for Remote Sensing Master Class

Udemy

January, 2021

Topics

  • Javascript
  • User Defined Functions(Javascript)
  • Cloud Masking of Sentinel and Landsat Images
  • Flood Mapping
  • Drought Mapping
  • Machine Learning for Landuse Landcover Classification
  • Supervised image classification
  • Unsupervised image classification

Full content of this course can be found HERE

Publications

Location, biophysical and agronomic parameters for croplands in Northern Ghana

Abstract
Smallholder agriculture is the bedrock of the food production system in sub-Saharan Africa. Yields in Africa are significantly below potentially attainable yields for a number of reasons, and they are particularly vulnerable to climate change impacts. Monitoring of these highly heterogeneous landscapes is needed to respond to farmer needs, develop appropriate policy and ensure food security, and Earth Observation (EO) must be part of these efforts. There is a lack of ground data for developing and testing EO methods in West Africa, and in this paper, we present data on (i) crop locations, (ii) biophysical parameters5 and (iii) crop yield and biomass was collected in 2020 and 2021 in Ghana and is reported in this paper. In 2020, crop type was surveyed in more than 1800 fields in three different agro-ecological zones across Ghana (Guinea Savannah, Transition and Deciduous zones).

Copernicus Publications

2022

Submitted and Ongoing Research

Validation of SMOS Satellite Soil Moisture Estimates using capacitance probes over the different ecological zones in Northern Ghana

Accepted for publication.

IntecOpen Journal

2022

Abstract
This research assesses the validation of satellite soil moisture estimates from the European Space Agency’s SMOS satellite using data from capacitance SM probes. The in-situ measurements were carried out at various sites across the Jirapa and Yendi communities. They are located in two different sub-ecological zones of the Savanna in the North of Ghana. They are located in the Western Sudan savannah and Open Guinea Savannah sub-ecological zones of the Savannah in the North of Ghana. The correlation between SMOS SM estimates and the in-situ measurements was observed to improve with depth. In addition, the 10cm depths capacitance probe SM measurements were observed to agree relatively better with the SMOS SM estimates. The dry season RMSE for the two sites ranging between 0.045 to 0.058 m3/m3 was the closest to the SMOS expected accuracy. However, the RMSE and MBE were observed to deteriorate with depth. In addition, Jirapa recorded relatively poor RMSE. SMOS SM estimates at Yendi and Jirapa performed relatively well during the dry season compared to the rainy season, especially at the 10cm depths.

Drought Characteristics Over Ghana and its Ocean-Atmosphere Teleconnections.

80% Done

Yet to submit

Current

Abstract
The devastating effects of drought on agriculture, water resources, and other socioeconomic activities have severe consequences on food security and water resource management. Understanding the characteristics of drought and the ocean-atmospheric mechanisms that drive drought over Ghana is significant for developing an early warning system for disaster risk management. This study first investigated the temporal variability of drought and its connection with ocean-atmosphere teleconnections. The Standardized Precipitation Evaporation Index (SPEI) 3,6,12 and 24 was computed for 30yrs from the 1981–2010. The historical trend of drought characteristics (i.e duration, interarrival time, frequency, and severity) over the twenty-two (22) synoptic stations in Ghana were studied. The results show high interannual to decadal variability of drought with a decline in drought in late 2005. A longer duration of drought typically occurs over coastal Ghana. The severity and intensity of drought are higher in Ghana’s coastal and northern belts. However, Coastal Ghana has a higher interarrival time for agriculture and hydrological drought. For predictability, the Tropical Atlantic Ocean and Equatorial Pacific Ocean indices had varying degrees of influence on drought over Ghana.

Trend Analysis of Historical and Future Climate of Accra

Under Review by authors

Yet to submit

Current

Description
This research aims to describe the climate of Accra from 1960 to 2021 using rainfall and temperature; the dominant variables of the African climate. This retrospective study aims to assist in mapping the trajectory of the climate of Accra into future for planning and mitigation purposes especially when climate change threatens irreversible consequences. It involves ascertaining rainfall totals, mean temperature, the seasonal cycle, number of days with rain events >= 20mm, annual rainfall and temperature anomalies, days with rainfall and temperature in the 10th and 90th percentiles and projections under the RCP25, RCP45 and RCP85 scenarios from 2022 to 2100 for annual rainfall and temperature

Projects/Field Work

Newton Prize: Pioneering Crop Monitoring For Food Security

A Collaboration between University College London, Chinese Academy of Agricultural Sciences and Ghana Space Science and Technology Institute

Northern Region, Ghana

August 2021 - March, 2022

Task

  • GPS mapping of Crop Farms in the Northern Region of Ghana for estimating Crop yield
  • Chlorophyl Concentration measurement of Maize Crops
  • Leaf Area Index measurement of Maize Crops
  • Maize Yield Measurement

Field data collection & initial exploration of Crop type information to build Crop type map of Ghana.

Collaboration between the University of Leicester and Ghana Space and Technology Institute

Northern Region, Ghana

December , 2020

Task

  • My team and I went to the crop farmlands in the major farming areas in Ghana to identify crops and map their respective farmlands. This is a prerequisite towards building a crop type map for the country. My team and I were assigned to the Northern Region of Ghana which resides in the Savannah ecological zone.

Professional Experience

Research Technologist

Remote Sensing and Climate Center
Ghana Space Science and Technology Institute

Ghana Atomic Energy Commission

September, 2019 - Present

Responsibilities

  • I support research at the Remote Sensing and Climate Center of the Ghana Space Science and Technology Institute by analysing meteorological/Climate Data Analysis using R and satellite
    data using Google Earth Engine and QGIS.
  • I am part of the team responsible for training staff and personnel in data analytics using R in corporate and academic institutions
  • I train interns, National service persons and sometimes colleagues in using the R language for Data Science and Analytics
  • I am also involved with field data collection on crop types and farm boundaries for yield estimation in the Northern Region of Ghana

Research Technologist (Intern)

Remote Sensing and Climate Center
Ghana Space Science and Technology Institute

Ghana Atomic Energy Commission

May, 2018 - August, 2019

Responsibilities:

  • I provided support for research at the Remote Sensing and Climate Center with meteorological data analysis using R
  • I also trained Students and interns on using R for Data Science and analytics
  • Air quality monitoring and measurement in the selected areas in the Greater Accra region of Ghana

Undergraduate Teaching and Research Assistant

Department of Geography and Regional Planning

University of Cape Coast

September, 2016 - August, 2017

Responsibilities:

  • I conducted tutorials for undergraduate students on Climatology, Hydrology and Introduction to Earth Science
  • I supported researchers at the Department with data collection and analysis
  • I also assisted my direct supervisor in assessing and marking students’ scripts
  • I also assisted my supervisor with office duties such as printing, photocopying and scanning of documents

Training/Workshops

Programme for center for High Performance Computing (CHPC) Computer Training for Development in Africa with Radio Astronomy

Theme: An Introductory Scientific Computing Programming Schools for Science and Engineering Students who wish to advance their skills in Linux and Python

Ghana Space Science and Technology Institute

April, 2019 - May, 2019

NASA Applied Remote Sensing Training on:

  • Remote Sensing of Drought
  • Reanalysis of Satellite Data for Extreme Climatic Events

ARSET

Conferences

PyCon Ghana

PyCon Ghana is an annual gathering of python users and enthusiasts in the field of Software engineering, Data Science and Artificial Intelligence to network, share ideas, and introduce and learn current trends, technologies, and research in the field. However, it is not restricted to only python users. It attracts leaders and technologists in the AI and Software engineer Space across the globe.

Kofi Annan ICT Center, Accra

October 13 - October 15, 2022

Ghana Data Science Summit (Indaba X)

This is a summit of selected Data Science and AI practitioners across the Country irrespective of tools and technologies one may use. The summit showcased research, emerging and new tools, technologies, and techniques in the field of Data and Artificial Intelligence, It was also an avenue to create networkds and collaborations.

Academic city University College, Accra

September 21 - September 23, 2022

Rstudio Conference 2022

This is an annual convention of Data Science and AI practitioners worldwide to divulge and discuss current issues and trends in the industry and showcase new developments in the field. Although it is a gathering of R users and enthusiasts, it attracts, users of tools such as python and JUlia and any other in the data Space.

Washingto D.C

July 25 - July 28, 2022

Honours and Awards

Diversity Scholarship, awarded by POSIT(formerly RStudio)

I was awarded this scholarship to attend the 2022 RStudio Conference in Maryland, USA. It covered air (a round trip, road transportation, food and accommodation.

Washington D.C

July 25 - July 28, 2022

Management and Leadership Skills

Data Analytics Instructor/Trainer

Train and teach interns, national service persons and sometimes colleagues at the Remote Sensing and Climate Center of the Ghana Space Science and Technology Institute on using R for data science and analytics. I have been in this capacity since 2018 when I was appointed as an intern at the center. For the 2022 year, I have had a total of 21 students I have trained, 16 are currently in training and 4 have completed and left.

Remote Sensing and Climate Cener, GSSTI

2018 - Present

Undergraduate Teaching Assistant

From September 2016 to August 2017, I worked as an undergraduate Teaching Assistant at the Department of Geography and Regional Planning, University of Cape Coast. I was assigned to the courses Climatology and Hydrology. I conducted tutorials and one-on-one sessions with students had difficulties with some with some concepts, particularly, in Climatology

Dept.Geography and Regional Planning, UCC.

September 2016 - August 2017 …