L
Linda See
Researcher at International Institute for Applied Systems Analysis
Publications - 338
Citations - 13633
Linda See is an academic researcher from International Institute for Applied Systems Analysis. The author has contributed to research in topics: Land cover & Crowdsourcing. The author has an hindex of 55, co-authored 312 publications receiving 10755 citations. Previous affiliations of Linda See include International Institute of Minnesota & University College London.
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Journal ArticleDOI
Spatial distribution of arable and abandoned land across former Soviet Union countries
Myroslava Lesiv,Dmitry Schepaschenko,Dmitry Schepaschenko,Elena Moltchanova,Rostyslav Bun,M. Dürauer,Alexander V. Prishchepov,Alexander V. Prishchepov,Florian Schierhorn,Stephan Estel,Tobias Kuemmerle,Camilo Alcántara,Natalia Kussul,Maria Shchepashchenko,Olga Kutovaya,Olga Martynenko,Viktor Karminov,Anatoly Shvidenko,Petr Havlik,Florian Kraxner,Linda See,Steffen Fritz +21 more
TL;DR: In this paper, the authors developed a new map of arable and abandoned land for 2010 at a 10 arc-second resolution, which fused together existing land cover and land use maps at different temporal and spatial scales for the former Soviet Union (fSU) using a training data set collected from visual interpretation of very high resolution (VHR) imagery.
Journal ArticleDOI
Harnessing the power of volunteers, the internet and Google Earth to collect and validate global spatial information using Geo-Wiki
Linda See,Steffen Fritz,Christoph Perger,Christian Schill,Ian McCallum,Dmitry Schepaschenko,Martina Duerauer,Tobias Sturn,Mathias Karner,Florian Kraxner,Michael Obersteiner +10 more
TL;DR: An overview of the main features of Geo-Wiki is provided, and a series of examples are illustrated how the crowdsourced data collected through Geo- Wiki have been used to improve information on land cover and land use.
Book ChapterDOI
Assessing VGI Data Quality
Cidália Costa Fonte,Vyron Antoniou,Lucy Bastin,Jacinto Estima,Jamal Jokar Arsanjani,Juan Carlos Laso Bayas,Linda See,Rumiana Vatseva +7 more
TL;DR: Current data quality indicators for geographic information as part of the ISO 19157 (2013) standard and how these have been used to evaluate the data quality of VGI in the past are reviewed.
Journal ArticleDOI
Economic development and forest cover: evidence from satellite data
Jesus Crespo Cuaresma,Olha Danylo,Steffen Fritz,Ian McCallum,Michael Obersteiner,Linda See,Brian Walsh +6 more
TL;DR: It is found that income per capita is the most robust determinant of differences in cross-border forest cover, and the marginal effect of per capita income growth on forest cover is strongest at the earliest stages of economic development, and weakens in more advanced economies.
Journal ArticleDOI
Technologies to Support Community Flood Disaster Risk Reduction
Ian McCallum,Wei Liu,Linda See,Reinhard Mechler,Adriana Keating,Stefan Hochrainer-Stigler,Junko Mochizuki,Steffen Fritz,Sumit Dugar,Miguel Arestegui,Michael Szoenyi,Juan Carlos Laso Bayas,Peter Burek,Adam French,Inian Moorthy +14 more
TL;DR: In this paper, the authors proposed to use expert-based data collection and analysis, direct input from communities and citizens across the globe may also be used to monitor, validate, and reduce flood risk.