Linda See
机构: International Institute for Applied Systems Analysis
每年引用次数
引用次数
引用: 20,472
H-指数: 77
I10-指数 : 216
出版物: 605
Using radar data to extend the lead time of neural network forecasting on the river Ping
Chaipimonplin Tawee , See M Linda , Kneale E Pauline ,
4
2010
Current status and future trends in crowd-sourcing geographic information
Ana-Maria Olteanu-Raimond , Norman Kerle , Giles M. Foody , Linda See
University of Nottingham
2015
CENSUS of Cities: LCZ Classification of Cities (Level 0) – Workflow and Initial Results from Various Cities
Benjamin Bechtel , Mícheál Foley , Gerald Mills , Jason Ching
9th International Conference on Urban Climate (ICUC9)
13
2015
Cropland Capture: A gaming approach to improve global land cover
Christoph Perger , Tobias Sturn , Carl Salk , Linda See
AGILE Digital Editions
9
2014
Enhancing the role of citizen sensors in mapping: COST action TD1202
Giles Foody , Steffen Fritz , Sven Schade , Linda See
geographic information science 1 -2
3
2014
Semantic analysis of Citizen Sensing, Crowdsourcing and VGI
Sven Schade , Giles Foody , Alexis Comber , Linda See
Association of Geographic Information Laboratories for Europe (AGILE)
2
2014
Improved Vote Aggregation Techniques for the Geo-Wiki Cropland Capture Crowdsourcing Game
Dmitry Shchepashchenko , Carl Salk , Linda See , Steffen Fritz
EGUGA
2016
Using OSM, Geo-tagged Flickr photos and authoritative data: A quality perspective
Seraphim Alvanides , Andriani Skopeliti , Linda See , Cidália Costa Fonte
Proceedings, 6th International Conference on Cartography and GIS 2016 482 -492
2016
An automated methodology for converting OSM data into a Land Use/Cover map
Maria A Brovelli , Marco Minghini , Linda See , Cidália Costa Fonte
Proceedings of the 6 th International Conference on Cartography & GIS 462 -473
8
2016
LandSense: A Citizen Observatory and Innovation Marketplace for Land Use and Land Cover Monitoring
Inian Moorthy , Steffen Fritz , Linda See , Ian McCallum
EGUGA 8562
2017
Using GIS to Identify Wildland Areas in the North Pennines
Linda See , Steve Carver , Stuart Blair , Peter Samson
CRC Press 103 -116
1
2008
Developmentofaglobalhybridforestmaskthroughthesynergyof remotesensing,crowdsourcingandFAOstatistics
Dmitry Schepaschenko , Linda See , Myroslava Lesiv , Ian McCallum
124
2015
The value and opportunities of community- and citizen-based approaches to tropical forest biodiversity monitoring
I. Theilade , Herizo Andrianandrasana , A.K. Pratihast , Andrea Berardi
A Sourcebook of Methods and Procedures for Monitoring Essential Biodiversity Variables in Tropical Forests with Remote Sensing 223 -281
3
2017
Biomass plot data base
D Schepaschenko , A Shvidenko , VA Usoltsev , P Lakyda
In supplement to: Schepaschenko, D et al. (2017): A dataset of forest biomass structure for Eurasia. Scientific Data, 4, 170070, https://doi.org/10.1038/sdata.2017.70
4
2017
Participatory and Collaborative Digital Mapping to Enhance Disaster Resilience
Linda See , Ian McCallum , Reinhard Mechler , Sumit Dugar
EGU General Assembly Conference Abstracts 16604
2017
Creating an open access cal/val repository via the LACO-Wiki online validation platform
Christoph Perger , Linda See , Steffen Fritz , Christopher Dresel
EGUGA 12997
2017
Picture Pile: A citizen-powered tool for rapid post-disaster damage assessments
Martina Duerauer , Olha Danylo , Tobias Sturn , Andrea Ajmar
EGUGA 19266
2017
Special Issue "Volunteered Geographic Information"
Alexander Zipf , David Jonietz , Linda See , Vyron Antoniou
ISPRS international journal of geo-information 6 ( 7)
2017
Engaging Citizens in Environmental Monitoring via Gaming
Martina Duerauer , Christoph Perger , Tobias Sturn , Dmitry Schepaschenko
international journal of spatial data infrastructures research, , 13 15 -23
2
2018
FotoQuest Go: A citizen science tool for in-situ land use and land cover monitoring
Tobias Sturn , Mathias Karner , Linda See , Ian McCallum
EGUGA 8124
2018