A5069065622- Geographic Information Systems Studies
- Species Distribution and Climate Change
- Data Quality and Management
- Scientific Computing and Data Management
- Land Use and Ecosystem Services
- Data Management and Algorithms
- Wildlife Ecology and Conservation
- Research Data Management Practices
- Remote Sensing in Agriculture
- Semantic Web and Ontologies
- Ecology and Vegetation Dynamics Studies
- Soil Geostatistics and Mapping
- Remote Sensing and LiDAR Applications
- Geochemistry and Geologic Mapping
- Remote-Sensing Image Classification
- Conservation, Biodiversity, and Resource Management
- Wildlife-Road Interactions and Conservation
- Distributed and Parallel Computing Systems
- Meteorological Phenomena and Simulations
- Economic and Environmental Valuation
- Forest Management and Policy
- Data-Driven Disease Surveillance
- Service-Oriented Architecture and Web Services
- Big Data Technologies and Applications
- Geological Modeling and Analysis
Aston University
2016-2025
Joint Research Centre
2012-2021
European Commission
2017
Element Six (United States)
2014
Applied Science Private University
2007-2009
University of Leicester
1999-2003
University of Nottingham
2000-2002
University of Birmingham
2001
Government of Canada
1969
Forestry Research Institute
1969
Big data has now become a strong focus of global interest that is increasingly attracting the attention academia, industry, government and other organizations. can be situated in disciplinary area traditional geospatial handling theory methods. The increasing volume varying format collected big presents challenges storing, managing, processing, analyzing, visualizing verifying quality data. This implications for decisions made with Consequently, this position paper International Society...
Connectivity of protected areas (PAs) is crucial for meeting their conservation goals. We provide the first global evaluation countries' progress towards Aichi Target 11 Convention on Biological Diversity that to have at least 17% land covered by well-connected PA systems 2020. quantify how well terrestrial countries are designed promote connectivity, using Protected Connected (ProtConn) indicator. refine ProtConn focus part connectivity in power a country influence, i.e. not penalizing...
Protected areas (PAs) are the main instrument for biodiversity conservation, which has triggered development of numerous indicators and assessments on their coverage, performance efficiency. The connectivity PA networks at a global scale however been much less explored; previous studies have either focused particular regions world or only considered some types PAs. Here we present, globally assess, ProtConn, an indicator that (i) quantifies percentage study region covered by protected...
Much biodiversity data is collected worldwide, but it remains challenging to assemble the scattered knowledge forassessing status and trends. The concept of Essential Biodiversity Variables (EBVs) was introduced tostructure monitoring globally, harmonize standardize from disparate sourcesto capture a minimum set critical variables required study, report manage change. Here, weassess challenges ‘Big Data’ approach building global EBV products across taxa spatiotemporalscales, focusing on...
Abstract Biodiversity includes multiscalar and multitemporal structures processes, with different levels of functional organization, from genetic to ecosystemic levels. One the mostly used methods infer biodiversity is based on taxonomic approaches community ecology theories. However, gathering extensive data in field difficult due logistic problems, especially when aiming at modelling changes space time, which assumes statistically sound sampling schemes. In this context, airborne or...
Integrating sociological and psychological perspectives, this research considers the value of organizational ethnic diversity as a function community diversity. Employee patient surveys, census data, performance indexes relevant to 142 hospitals in United Kingdom suggest that intraorganizational is associated with reduced civility toward patients. However, degree which demography was representative positively related experienced by patients ultimately enhanced performance. These findings...
The UK is home to a dense network of Citizen Weather Stations (CWS) primarily set up by members the public.The majority these stations record air temperature, relative humidity and precipitation, amongst other variables, at sub-hourly intervals.This high resolution could have benefits in many applications, but only if data quality well characterised.Here we present results from an intercomparison field study, which popular CWS models were tested against Met Office standard equipment.The...
Volunteered Geographic Information (VGI) represents a growing source of potentially valuable data for many applications, including land cover map validation. It is still an emerging field and different approaches can be used to take value from VGI, but also pros cons are related its use. Therefore, since it timely get overview the subject, aim this article review use VGI as reference The main platforms types that useful analysed. Since quality fundamental issue in validation, procedures by...
Connectivity of protected areas (PAs) is needed to ensure the long-term persistence biodiversity and ecosystem service delivery. The Convention on Biological Diversity agreed in 2010 have 17% land covered by well-connected PA systems 2020 (Aichi Target 11). We here globally assess, for all countries, trends terrestrial connectivity every other year from 2018 using ProtConn indicator, which quantifies how well are designed support connectivity. percentage connected (ProtConn) has increased...
Abstract Three different 'soft' classifiers (fuzzy c-means classifier, linear mixture model, and probability values from a maximum likelihood classification) were used for unmixing of coarse pixel signatures to identify four land cover classes (i.e., supervised classifications). The images generated 30m Thematic Mapper (TM) image; one set by mean filtering, another using an asymmetric filter kernel simulate Multi-Spectral Scanner (MSS) sensor sampling. These filters collapsed together...
The accuracy of a map is dependent on the reference dataset used in its construction. Classification analyses thematic mapping can, for example, be sensitive to range sampling and data quality concerns. With particular focus latter, effects land cover classifications from airborne mapper are explored. Variations intensity effort highlighted that widely modelling studies; these may need accounting analyses. labelling was also key variable influencing accuracy. Accuracy varied with amount...
Essential Biodiversity Variables (EBV) are fundamental variables that can be used for assessing biodiversity change over time, determining adherence to policy, monitoring progress towards sustainable development goals, and tracking responses disturbances management interventions. Data from observations or models provide measured estimated EBV values, which we refer as data products, help capture the above processes trends serve a coherent framework documenting in biodiversity. Using primary...
Inland waters are unique ecosystems offering services and habitat resources upon which many species depend. Despite the importance of, threats to, inland water, global assessments of protected area (PA) coverage trends have focused on land habitats or assessed together. We here provide first assessment level protection open surface their (1984–2015) within PAs for all countries, using a globally consistent, high-resolution (30 m) validated dataset permanent seasonal based Landsat images....
The land area covered by freely available very high-resolution (VHR) imagery has grown dramatically over recent years, which considerable relevance for forest observation and monitoring. For example, it is possible to recognize extract a number of features related type, management, degradation disturbance using VHR imagery. Moreover, time series medium-to-high-resolution such as MODIS, Landsat or Sentinel allowed monitoring parameters cover change. Although automatic classification used...
This paper extends recent research into the usefulness of volunteered photos for land cover extraction, and investigates whether this can be automatically assessed by an easily accessible, off-the-shelf neural network pre-trained on a variety scene characteristics. Geo-tagged photographs are sometimes presented to volunteers as part game which requires them extract relevant facts about use. The challenge is select most in order efficiently useful information while maintaining engagement...