Gary R Watmough

Gary R Watmough
The University of Edinburgh | UoE · School of GeoSciences

BSc, MSc, PhD

About

33
Publications
17,142
Reads
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742
Citations
Introduction
Gary R Watmough currently works as an Interdisciplinary Lecturer in the School of Geosciences at the University of Edinburgh. Gary does research in Geoinformatics (GIS), Geography and Remote Sensing. Their current project is 'Understanding Social-Ecological Systems.'
Additional affiliations
January 2018 - present
The University of Edinburgh
Position
  • Lecturer
Description
  • MSc and BSc courses in; Applied research skills in environment and society, remote sensing, geographic information systems, sustainable development, sustainability Personal Tutor PhD Supervisor Programme director for the Environmental Sustainability MSc
December 2017 - present
The University of Edinburgh
Position
  • Lecturer
May 2017 - December 2017
Aarhus University
Position
  • Lecturer
Description
  • Tropical Ecosystem Management and Human Security M.Sc. Class. An introduction to remote sensing for environmental scientists (PhD level 1 week intensive course)
Education
February 2008 - May 2012
University of Southampton
Field of study
  • Global Environmental Change and Earth Observation
September 2006 - October 2007
University of Southampton
Field of study
  • Remote Sensing and Spatial Analysis
September 2002 - July 2005
Lancaster University
Field of study
  • Geography

Publications

Publications (33)
Article
Full-text available
Tracking the progress of the Sustainable Development Goals (SDGs) and targeting interventions requires frequent, up-to-date data on social, economic, and ecosystem conditions. Monitoring socioeconomic targets using household survey data would require census enumeration combined with annual sample surveys on consumption and socioeconomic trends. Suc...
Chapter
The UN has called for a ‘data revolution’ to help overcome the low quality and lack of regularly updated statistical data available in developing countries. But how do we achieve this with limited financial resources and insufficient capacity in national statistical offices around the world? Recent studies have demonstrated how information captured...
Article
Full-text available
Traditional survey and census data are not sufficient for measuring poverty and progress towards achieving the Sustainable Development Goals (SDGs). Satellite Earth Observation (EO) is a novel data source that has considerable potential to augment data for sustainable rural development. To realise the full potential of EO data as a proxy for socioe...
Preprint
Full-text available
Knowledge of population distribution is critical for building infrastructure, distributing resources, and monitoring the progress of sustainable development goals. Although censuses can provide this information, they are typically conducted every ten years with some countries having forgone the process for several decades. Population can change in...
Article
Full-text available
Physical access to health facilities is an important factor in determining treatment seeking behaviour and has implications for targets within the Sustainable Development Goals, including the right to health. The increased availability of high-resolution land cover and road data from satellite imagery offers opportunities for fine-grained estimatio...
Article
There is increasing interest in leveraging Earth Observation (EO) and geospatial data to predict and map aspects of socioeconomic conditions to support survey and census activities. This is particularly relevant for the frequent monitoring required to assess progress towards the UNs' Sustainable Development Goals (SDGs). The Sundarban Biosphere Res...
Article
Full-text available
Knowledge of population distribution is critical for building infrastructure, distributing resources, and monitoring the progress of sustainable development goals. Although censuses can provide this information, they are typically conducted every 10 years with some countries having forgone the process for several decades. Population can change in t...
Article
Full-text available
Eradicating extreme poverty is one of the UN's primary sustainable development goals (SDG). Arable land is related to eradicating poverty (SDG1) and hunger (SDG2). However, the linkage between arable land use and poverty reduction is ambiguous and has seldom been investigated globally. Six indicators of agricultural inputs, crop intensification and...
Preprint
Full-text available
Reliable and frequent population estimation is key for making policies around vaccination and planning infrastructure delivery. Since censuses lack the spatio-temporal resolution required for these tasks, census-independent approaches, using remote sensing and microcensus data, have become popular. We estimate intercensal population count in two pi...
Conference Paper
Sars-CoV-2 is spread through contact between people and an understanding of where people are in contact with each other is necessary to prevent its spread. In this paper, the residential building density of Bulawayo was considered a proxy for high density of people. OpenStreetMap (OSM) building data was downloaded and converted from polygon to poin...
Conference Paper
The operational integration of Earth observation (EO) into the analysis of rural poverty and broader dynamics of human wellbeing is in its early stages. There is considerable scope for novel applications given the current proliferation of technological and computational capabilities. To develop this research agenda, it is necessary to synthesise sc...
Article
Full-text available
The main determinants of agricultural employment are related to households' access to private assets and the influence of inherited social-economic stratification and power relationships. However, despite the recommendations of rural studies which have shown the importance of multi-level approaches to rural poverty, very few studies have explored q...
Article
Full-text available
Spatial factors, such as environmental conditions, distance to natural resources and access to services can influence the impacts of climate change on rural household livelihood activities. But neither the determinants of precarious livelihoods nor their spatial context has been well understood. This paper investigates the drivers of livelihood pre...
Article
Full-text available
Mapping changes in vegetation cover is essential for understanding the consequences of climate change on Arctic ecosystems. Classification of ultra-high spatial-resolution (UHR, < 1 cm) imagery can provide estimates of vegetation cover across space and time. The challenge of this approach is to assure comparability of classification across many ima...
Article
Full-text available
Coastal communities are some of the most at-risk populations with respect to climate change impacts. It is therefore important to determine the vulnerability of such communities to co-develop viable adaptation options. Global efforts to address this issue include international scientific projects, such as Global Learning for Local Solutions (GULLS)...
Research
Full-text available
There has been a growing interest across the British conservation community in recent years in establishing conservation over large areas. Much of this thinking was crystallised in the Making Space for Nature report (Lawton and others 2010) , and has since become prominent in conservation policy. To maximise the success of future projects, there is...
Article
Full-text available
The characteristics of very high resolution (VHR) satellite data are encouraging development agencies to investigate its use in monitoring and evaluation programmes. VHR data pose challenges for land use classification of heterogeneous rural landscapes as it is not possible to develop generalised and transferable land use classification definitions...
Article
Full-text available
There has been a growing interest across the British conservation community in recent years in establishing conservation over large areas. Much of this thinking was crystallised in the Making Space for Nature report (Lawton and others 2010) , and has since become prominent in conservation policy. To maximise the success of future projects, there is...
Article
Full-text available
This article presents results from an investigation of the relationships between welfare and geographic metrics from over 14,000 villages in Assam, India. Geographic metrics accounted for 61% of the variation in the lowest welfare quintile and 57% in the highest welfare quintile. Travel time to market towns, percentage of a village covered with woo...
Data
Derived from Landsat ETM+ data. The method for which can be viewed in Chapter 5 of the Thesis. The file is saved in .tif format and is compressed using 7zip. Suggested Citation: Watmough, G.R. (2014) ‘An object-based land cover map for Assam’ Geography and Environment, University of Southampton.
Article
Full-text available
Social data from census and household surveys provide key information for monitoring the status of populations, but the data utility can be limited by temporal gaps between surveys. Recent studies have pointed to the potential for remotely sensed satellite sensor data to be used as proxies for social data. Such an approach could provide valuable in...
Article
Full-text available
The red edge position (REP) in the vegetation spectral reflectance is a surrogate measure of vegetation chlorophyll content, and hence can be used to monitor the health and function of vegetation. The Multi-Spectral Instrument (MSI) aboard the future ESA Sentinel-2 (S-2) satellite will provide the opportunity for estimation of the REP at much highe...
Chapter
Nepal is one of the poorest countries in the world and much of its rural population is at, or near, subsistence level. In recent years the timing and intensity of the monsoon in Nepal, as well as temperature extremities, have changed and this is severely impacting upon agriculture, the mainstay for over 80% of the population. Flash flooding and dro...
Article
This field research investigated the livelihoods of rural communities in Nawalparasi District, Nepal. An adapted form of the Delphi technique was used to assess community perceptions regarding factors which affected their livelihoods. The six most significant factors were selected by participants and ranked in order of importance. Research findings...
Article
Relationships are often found between socio-economic variables and environmental factors for relatively small study regions. This research forms an exploratory data analysis using logistic regression to explore the (non-causal) relationships between socio-economic variables from a national census (female literacy and involvement in economic alterna...
Thesis
Full-text available
This thesis explores and quantifies the associations between socioeconomic variables and environmental metrics. Remotely sensed satellite data is often used to monitor environmental conditions. However, it is less frequently used for socioeconomic purposes. Several studies have attempted to use remotely sensed data to monitor socioeconomic conditio...
Article
The automated cloud cover assessment (ACCA) algorithm has provided automated estimates of cloud cover for the Landsat ETM+ mission since 2001. However, due to the lack of a band around 1.375 μm, cloud edges and transparent clouds such as cirrus cannot be detected. Use of Landsat ETM+ imagery for terrestrial land analysis is further hampered by the...

Questions

Questions (2)
Question
Looking for a book for a course i am teaching on, the current text is now out of print which i do not thinks looks great to students! Can anyone recommend a book similar to 'Science and Environmental Decision Making' edited by Mark Huxham and David Sumner?
Question
I am looking for a graphic designer to help convert some sketches of research frameworks into artwork that can be included in manuscripts and presentations, can anyone recommend someone?

Network

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Projects

Projects (8)
Project
To develop the first comprehensive view of children’s exposure and vulnerability to the impacts of climate change.
Project
We will work the members of the Municipal Government to use census data and high-spatial resolution satellite imagery to map and identify potential problematic areas in the City of Bulawayo, Zimbabwe.
Project
To estimate access to clinics, water sources and schools from villages in Uganda and explore how these accessibility estimates are correlated with multidimensional childhood poverty.