G M Foody
Dados Biográficos
| ID | 1412693 |
|---|---|
| NOME | G M Foody |
| PRENOMES | G M |
| SOBRENOME | Foody |
| ASSINATURA | FOODY G M |
| AFILIAÇÕES | University of Nottingham |
| ORCID | 0000-0001-6464-3054 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 17 |
| TOTAL DE CITAÇÕES | 17 |
| TOTAL COMO AUTOR | 17 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 1993 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2024 |
| ÍNDICE H | 3 |
The future of decent work
The impacts of climate change‐induced heat stress on workers are most prevalent in sectors with decent work deficits and this requires consideration for sustainable development. This paper focuses on the informal economy of brick kilns in India, a sector reliant on piece‐rate payments to its migrant labour force. We forecast to 2050, through satellite mapping and climate modelling, the number of days with extreme heat, loss of labour capacity, an…
Informing action for United Nations SDG target 8.7 and interdependent SDGs
This article provides an example of the ways in which remote sensing, Earth observation, and machine learning can be deployed to provide the most up to date quantitative portrait of the South Asian ‘Brick Belt’, with a view to understanding the extent of the prevalence of modern slavery and exploitative labour. This analysis represents the first of its kind in estimating the spatiotemporal patterns in the Bull’s Trench Kilns across the Brick Belt…
Seasonal Suhi Analysis Using Local Climate Zone Classification
The surface urban heat island (SUHI) effect poses a significant threat to the urban environment and public health. This paper utilized the Local Climate Zone (LCZ) classification and land surface temperature (LST) data to analyze the seasonal dynamics of SUHI in Wuhan based on the Google Earth Engine platform. In addition, the SUHI intensity derived from the traditional urban-rural dichotomy was also calculated for comparison. Seasonal SUHI analy…
Applications in Remote Sensing to Forest Ecology and Management
Remote sensing provides valuable insights into pressing environmental challenges and is a critical tool for driving solutions. In this Primer, we briefly introduce the important role of remote sensing in forest ecology and management, which includes applications as diverse as mapping the distribution of forest ecosystems and characterizing the three-dimensional structure of forests. We describe six key reasons why remote sensing has become an imp…
Exploring temporality in socio-ecological resilience through experiences of the 2015–16 El Niño across the Tropics
In a context of both long-term climatic changes and short-term climatic shocks, temporal dynamics profoundly influence ecosystems and societies. In low income contexts in the Tropics, where both exposure and vulnerability to climatic fluctuations is high, the frequency, duration, and trends in these fluctuations are important determinants of socio-ecological resilience. In this paper, the dynamics of six diverse socio-ecological systems (SES) acr…
Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information
Citizens are increasingly becoming an important source of geographic information, sometimes entering domains that had until recently been the exclusive realm of authoritative agencies. This activity has a very diverse character as it can, amongst other things, be active or passive, involve spatial or aspatial data and the data provided can be variable in terms of key attributes such as format, description and quality. Unsurprisingly, therefore, t…
Enhancing the spatial resolution of satellite-derived land surface temperature mapping for urban areas
Valuing map validation
Good practices for estimating area and assessing accuracy of land change
Making better use of accuracy data in land change studies
The nature of publishing and assessment in Geography and Environmental Studies
We present a summary of the kinds of outputs submitted to the Geography and Environmental Studies sub‐panel (H‐32) for the 2008 Research Assessment Exercise (RAE), and examine the relationships between the peer assessment of research quality that the RAE process has typified, and alternative modes of assessment based on bibliometrics. This comparison is effected using (in aggregate form) some of the results from the RAE, together with citation da…
Status of land cover classification accuracy assessment
Unmixing Aggregate Data
In this paper the authors address the problem of interpreting and classifying aggregate data sources and draw parallels between tasks commonly encountered in image processing and census analysis. Both of these fields already have a range of standard classification tools which are applied in such situations, but these are hindered by the aggregate nature of the input data. An approach to 'unmixing' aggregate data, and thus to revealing the nature …
Environmental Remote Sensing from Regional to Global Scales
Partial table of contents: Environmental Issues at Regional to Global Scales (P. Curran & G. Foody). Explaining and Monitoring Land Cover Dynamics in Drylands Using Multi-Temporal Analysis of NOAA AVHRR Imagery (A. Millington, et al.). Global Land Cover: Comparison of Ground-Based Data Sets to Classifications with AVHRR Data (R. DeFries & J. Townshend). A Near-Real-Time Heat Source Monitoring System Using NOAA Polar Orbiting Meteorological Satell…
Estimation of land coverage from a land cover classification derived from remotely sensed data
Environmental Remote Sensing from Regional to Global Scales
Non-classificatory analysis and representation of heathland vegetation from remotely sensed imagery
The nature of publishing and assessment in Geography and Environmental Studies
We present a summary of the kinds of outputs submitted to the Geography and Environmental Studies sub‐panel (H‐32) for the 2008 Research Assessment Exercise (RAE), and examine the relationships between the peer assessment of research quality that the RAE process has typified, and alternative modes of assessment based on bibliometrics. This comparison is effected using (in aggregate form) some of the results from the RAE, together with citation da…
Unmixing Aggregate Data
In this paper the authors address the problem of interpreting and classifying aggregate data sources and draw parallels between tasks commonly encountered in image processing and census analysis. Both of these fields already have a range of standard classification tools which are applied in such situations, but these are hindered by the aggregate nature of the input data. An approach to 'unmixing' aggregate data, and thus to revealing the nature …
Environmental Remote Sensing from Regional to Global Scales
Valuing map validation
Exploring temporality in socio-ecological resilience through experiences of the 2015–16 El Niño across the Tropics
In a context of both long-term climatic changes and short-term climatic shocks, temporal dynamics profoundly influence ecosystems and societies. In low income contexts in the Tropics, where both exposure and vulnerability to climatic fluctuations is high, the frequency, duration, and trends in these fluctuations are important determinants of socio-ecological resilience. In this paper, the dynamics of six diverse socio-ecological systems (SES) acr…
Non-classificatory analysis and representation of heathland vegetation from remotely sensed imagery
Estimation of land coverage from a land cover classification derived from remotely sensed data
Environmental Remote Sensing from Regional to Global Scales
Environmental Remote Sensing from Regional to Global Scales
Partial table of contents: Environmental Issues at Regional to Global Scales (P. Curran & G. Foody). Explaining and Monitoring Land Cover Dynamics in Drylands Using Multi-Temporal Analysis of NOAA AVHRR Imagery (A. Millington, et al.). Global Land Cover: Comparison of Ground-Based Data Sets to Classifications with AVHRR Data (R. DeFries & J. Townshend). A Near-Real-Time Heat Source Monitoring System Using NOAA Polar Orbiting Meteorological Satell…
Unmixing Aggregate Data
In this paper the authors address the problem of interpreting and classifying aggregate data sources and draw parallels between tasks commonly encountered in image processing and census analysis. Both of these fields already have a range of standard classification tools which are applied in such situations, but these are hindered by the aggregate nature of the input data. An approach to 'unmixing' aggregate data, and thus to revealing the nature …
Status of land cover classification accuracy assessment
The nature of publishing and assessment in Geography and Environmental Studies
We present a summary of the kinds of outputs submitted to the Geography and Environmental Studies sub‐panel (H‐32) for the 2008 Research Assessment Exercise (RAE), and examine the relationships between the peer assessment of research quality that the RAE process has typified, and alternative modes of assessment based on bibliometrics. This comparison is effected using (in aggregate form) some of the results from the RAE, together with citation da…
Making better use of accuracy data in land change studies
Good practices for estimating area and assessing accuracy of land change
Enhancing the spatial resolution of satellite-derived land surface temperature mapping for urban areas
Valuing map validation
Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information
Citizens are increasingly becoming an important source of geographic information, sometimes entering domains that had until recently been the exclusive realm of authoritative agencies. This activity has a very diverse character as it can, amongst other things, be active or passive, involve spatial or aspatial data and the data provided can be variable in terms of key attributes such as format, description and quality. Unsurprisingly, therefore, t…
Exploring temporality in socio-ecological resilience through experiences of the 2015–16 El Niño across the Tropics
In a context of both long-term climatic changes and short-term climatic shocks, temporal dynamics profoundly influence ecosystems and societies. In low income contexts in the Tropics, where both exposure and vulnerability to climatic fluctuations is high, the frequency, duration, and trends in these fluctuations are important determinants of socio-ecological resilience. In this paper, the dynamics of six diverse socio-ecological systems (SES) acr…
Applications in Remote Sensing to Forest Ecology and Management
Remote sensing provides valuable insights into pressing environmental challenges and is a critical tool for driving solutions. In this Primer, we briefly introduce the important role of remote sensing in forest ecology and management, which includes applications as diverse as mapping the distribution of forest ecosystems and characterizing the three-dimensional structure of forests. We describe six key reasons why remote sensing has become an imp…
Informing action for United Nations SDG target 8.7 and interdependent SDGs
This article provides an example of the ways in which remote sensing, Earth observation, and machine learning can be deployed to provide the most up to date quantitative portrait of the South Asian ‘Brick Belt’, with a view to understanding the extent of the prevalence of modern slavery and exploitative labour. This analysis represents the first of its kind in estimating the spatiotemporal patterns in the Bull’s Trench Kilns across the Brick Belt…
Seasonal Suhi Analysis Using Local Climate Zone Classification
The surface urban heat island (SUHI) effect poses a significant threat to the urban environment and public health. This paper utilized the Local Climate Zone (LCZ) classification and land surface temperature (LST) data to analyze the seasonal dynamics of SUHI in Wuhan based on the Google Earth Engine platform. In addition, the SUHI intensity derived from the traditional urban-rural dichotomy was also calculated for comparison. Seasonal SUHI analy…
The future of decent work
The impacts of climate change‐induced heat stress on workers are most prevalent in sectors with decent work deficits and this requires consideration for sustainable development. This paper focuses on the informal economy of brick kilns in India, a sector reliant on piece‐rate payments to its migrant labour force. We forecast to 2050, through satellite mapping and climate modelling, the number of days with extreme heat, loss of labour capacity, an…
Geography (14 obras) · Remote sensing (10 obras) · Computer Science (9 obras) · Environmental Science (7 obras) · Environmental resource management (6 obras) · Cartography (5 obras) · Data mining (5 obras) · Remote Sensing in Agriculture (5 obras) · Ecology (4 obras) · Geographic Information Systems Studies (4 obras)