Linda See
See, Linda M., 1966-
See, Linda
See, Linda M.
See, Linda M., 19..-....
VIAF ID: 85896073 (Personal)
Permalink: http://viaf.org/viaf/85896073
Preferred Forms
- 100 0 _ ‡a Linda See
- 200 _ | ‡a See ‡b Linda M.
- 100 1 _ ‡a See, Linda
- 100 1 _ ‡a See, Linda M.
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- 100 1 _ ‡a See, Linda M., ‡d 19..-....
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- 100 1 _ ‡a See, Linda M., ‡d 1966-
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4xx's: Alternate Name Forms (6)
5xx's: Related Names (1)
Works
Title | Sources |
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The 2017 IEEE Geoscience and Remote Sensing Society Data Fusion Contest: Open Data for Global Multimodal Land Use Classification [Technical Committees] | |
Addressing the need for improved land cover map products for policy support | |
Affordable nutrient solutions for improved food security as evidenced by crop trials | |
African crop yield reductions due to increasingly unbalanced Nitrogen and Phosphorus consumption | |
Agent-based models of geographical systems | |
Agricultural diversification as an important strategy for achieving food security in Africa. | |
Agriculture: Soil remedies for small-scale farming | |
Assessing and Improving the Reliability of Volunteered Land Cover Reference Data | |
Assessing quality of volunteer crowdsourcing contributions: lessons from the Cropland Capture game | |
Beyond the urban mask | |
Building a hybrid land cover map with crowdsourcing and geographically weighted regression | |
Capturing and communicating impact of citizen science for policy: A storytelling approach | |
Carbon tracking: Limit uncertainties in land emissions. | |
Citizen Science and Open Data: a model for Invasive Alien Species in Europe | |
Classification of Local Climate Zones Using SAR and Multispectral Data in an Arid Environment | |
Climate modelling: Community initiative tackles urban heat | |
Comment on "The extent of forest in dryland biomes" | |
Comparing Expert and Non-expert Conceptualisations of the Land: An Analysis of Crowdsourced Land Cover Data | |
Comparison of Data Fusion Methods Using Crowdsourced Data in Creating a Hybrid Forest Cover Map | |
Conservation: Citizens add to satellite forest maps | |
Contributing to WUDAPT: A Local Climate Zone Classification of Two Cities in Ukraine | |
The Contributions of Citizen Science to the United Nations Sustainable Development Goals and Other International Agreements and Frameworks | |
The Cropland Capture Game: Good Annotators Versus Vote Aggregation Methods | |
Cropland for sub-Saharan Africa: A synergistic approach using five land cover data sets | |
Crowdsourcing In-Situ Data on Land Cover and Land Use Using Gamification and Mobile Technology | |
Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions | |
Developing a community-based worldwide urban morphology and materials database (WUDAPT) using remote sensing and crowdsourcing for improved urban climate modelling | |
Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and FAO statistics | |
Downgrading recent estimates of land available for biofuel production. | |
Drought and food security – Improving decision-support via new technologies and innovative collaboration | |
Economic Development and Forest Cover: Evidence from Satellite Data | |
The ESA's Earth Observation Open Science Program [Space Agencies] | |
Estimating global economic well-being with unlit settlements | |
Estimating the global distribution of field size using crowdsourcing | |
Evidence for Urban–Rural Disparity in Temperature–Mortality Relationships in Zhejiang Province, China | |
An Experimental Framework for Integrating Citizen and Community Science into Land Cover, Land Use, and Land Change Detection Processes in a National Mapping Agency | |
Farming and the geography of nutrient production for human use: a transdisciplinary analysis. | |
Food Security Monitoring via Mobile Data Collection and Remote Sensing: Results from the Central African Republic | |
The Forest Observation System, building a global reference dataset for remote sensing of forest biomass | |
Generating crop calendars with Web search data | |
Generating WUDAPT Level 0 data – Current status of production and evaluation | |
Geo-Wiki: An online platform for improving global land cover | |
GeoComputation | |
Geographically weighted evidence combination approaches for combining discordant and inconsistent volunteered geographical information | |
Geography Geo-Wiki in the Classroom: Using Crowdsourcing to Enhance Geographical Teaching | |
Global bioenergy scenarios – Future forest development, land-use implications, and trade-offs | |
A global dataset of crowdsourced land cover and land use reference data | |
Global forest management data for 2015 at a 100 m resolution | |
The grand challenges facing environmental citizen science | |
Harmonizing and Combining Existing Land Cover/Land Use Datasets for Cropland Area Monitoring at the African Continental Scale | |
Harnessing the power of volunteers, the internet and Google Earth to collect and validate global spatial information using Geo-Wiki | |
Highlighting continued uncertainty in global land cover maps for the user community | |
Improved Estimates of Biomass Expansion Factors for Russian Forests | |
Increasing the Accuracy of Crowdsourced Information on Land Cover via a Voting Procedure Weighted by Information Inferred from the Contributed Data | |
Integrated Participatory and Collaborative Risk Mapping for Enhancing Disaster Resilience | |
Investigating the Feasibility of Geo-Tagged Photographs as Sources of Land Cover Input Data | |
LACO-Wiki: A New Online Land Cover Validation Tool Demonstrated Using GlobeLand30 for Kenya | |
Lessons learned in developing reference data sets with the contribution of citizens: the Geo-Wiki experience | |
Limitations of Majority Agreement in Crowdsourced Image Interpretation | |
Local Knowledge and Professional Background Have a Minimal Impact on Volunteer Citizen Science Performance in a Land-Cover Classification Task | |
Mapping and the citizen censor | |
Mapping certified forests for sustainable management - A global tool for information improvement through participatory and collaborative mapping | |
Mapping global cropland and field size | |
Mapping Local Climate Zones for a Worldwide Database of the Form and Function of Cities | |
The Need for Improved Maps of Global Cropland | |
Neural networks for hydrological modelling | |
Onto new horizons: insights from the WeObserve project to strengthen the awareness, acceptability and sustainability of Citizen Observatories in Europe | |
Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling | |
Practical hydroinformatics : computational intelligence and technological developments in water applications | |
Quality of Crowdsourced Data on Urban Morphology—The Human Influence Experiment (HUMINEX) | |
Respiration of Russian soils: Climatic drivers and response to climate change | |
Russian forest sequesters substantially more carbon than previously reported | |
Satellite data: Beyond sharing Earth observations | |
Spatial distribution of arable and abandoned land across former Soviet Union countries. | |
Technologies to Support Community Flood Disaster Risk Reduction | |
Usability of VGI for validation of land cover maps | |
Using ICT for Remote Sensing, Crowdsourcing, and Big Data to Unlock the Potential of Agricultural Data | |
Using OpenStreetMap to Create Land Use and Land Cover Maps | |
Using volunteered geographic information (VGI) in design-based statistical inference for area estimation and accuracy assessment of land cover | |
Validation of Automatically Generated Global and Regional Cropland Data Sets: The Case of Tanzania | |
The value of citizen science for flood risk reduction: cost–benefit analysis of a citizen observatory in the Brenta-Bacchiglione catchment | |
Vote Aggregation Techniques in the Geo-Wiki Crowdsourcing Game: A Case Study |