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LACO-Wiki Mobile: An Open Source Application for In situ DataCollection and Land Cover Validation. 智库出版物
2019
作者:  See L;  Perger C;  Dresel C;  Saad M;  Subash A;  Mora B;  Pascaud M;  Ligeard F
Adobe PDF(1173Kb)  |  收藏  |  浏览/下载：4/0  |  提交时间：2019/06/18
Using Urban Climate Modelling to Support Climate Change Adaptationin Small- to Medium-sized Cities in Austria. 智库出版物
2019
作者:  Oswald S;  See L;  Hollosi B;  Zuvela-Aloise M;  Storch A;  Prokop G;  Schieder W;  Guggenberger S
Adobe PDF(7648Kb)  |  收藏  |  浏览/下载：4/0  |  提交时间：2019/06/18
The Value of Citizen Science for Monitoring Marine Litter. 智库出版物
2019
作者:  Fraisl D;  Fritz S;  See L;  Taylor H
Adobe PDF(7291Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2019/06/18
Volunteered geographic information: looking towards the next 10 years. 智库出版物
2019
作者:  See L;  Fonte CC;  Antoniou V;  Minghini M
收藏  |  浏览/下载：4/0  |  提交时间：2019/06/18
Conflation of expert and crowd reference data to validate global binary thematic maps. 智库出版物
2019
作者:  Waldner F;  Schucknecht A;  Lesiv M;  Gallego J;  See L;  Pérez-Hoyos A;  d'Andrimont R;  de Maet T
收藏  |  浏览/下载：8/0  |  提交时间：2019/06/18
Accuracy assessment  Crowdsourcing  Volunteered geographic information  Data quality  Stratified systematic sampling     Photo-interpretation  
A comparison of global agricultural monitoring systems and current gaps. 智库出版物
2019
作者:  Fritz S;  See L;  Bayas JCB;  Waldner F;  Jacques D;  Becker-Reshef I;  Whitcraft A;  Baruth B
收藏  |  浏览/下载：4/0  |  提交时间：2019/06/18
Global agricultural monitoring, Earth observation  Gaps   Spatial resolution  In-situ data  Crop calendars  Yield  Crop production  Crop area  
Evidence for Urban–Rural Disparity in Temperature–Mortality Relationships in Zhejiang Province, China. 智库出版物
2019
作者:  Hu K;  Guo Y;  Hochrainer-Stigler S;  See L;  Yang X;  Zhong J;  Fei F
Adobe PDF(1792Kb)  |  收藏  |  浏览/下载：5/0  |  提交时间：2019/06/18
A Review of Citizen Science and Crowdsourcing in Applications of Pluvial Flooding. 智库出版物
2019
作者:  See L
Adobe PDF(258Kb)  |  收藏  |  浏览/下载：4/0  |  提交时间：2019/06/18
pluvial flooding, urban flooding, citizen science, crowdsourcing, mobile apps, sensors  
High-resolution spatial distribution of greenhouse gas emissions in the residential sector. 智库出版物
2019
作者:  Danylo O;  Bun R;  See L;  Charkovska N
Adobe PDF(7716Kb)  |  收藏  |  浏览/下载：6/0  |  提交时间：2019/06/18
Geoinformation system  Greenhouse gas emissions  High-resolution data  Residential sector  Spatial inventory  Uncertainty  
Using OpenStreetMap (OSM) to enhance the classification of local climate zones in the framework of WUDAPT. 智库出版物
2019
作者:  Fonte CC;  Lopes P;  See L;  Bechtel B
收藏  |  浏览/下载：2/0  |  提交时间：2019/06/18
Local climate zones  Remote sensing  World urban database and access portal tools  (WUDAPT)  Volunteered geographic information  OpenStreetMap