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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：6/0  |  提交时间：2019/06/18
Accuracy assessment  Crowdsourcing  Volunteered geographic information  Data quality  Stratified systematic sampling     Photo-interpretation  
Estimating the Global Distribution of Field Size using Crowdsourcing. 智库出版物
2019
作者:  Lesiv M;  Laso Bayas JC;  See L;  Dürauer M;  Dahlia D;  Durando N;  Hazarika R;  Sahariah PK
Adobe PDF(2875Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2019/06/18
field size, crowdsourcing, visual interpretation, environmental changes, food security  
Global Field Sizes Dataset for Ecosystems Modeling. 智库出版物
2018
作者:  Lesiv M;  Fritz S;  Laso Bayas JC;  Dürauer M;  Domian D;  See L;  McCallum I;  Danylo O
Adobe PDF(1992Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2019/06/18
A spatial assessment of the forest carbon budget for Ukraine. 智库出版物
2018
作者:  Lesiv M;  Shvidenko A;  Schepaschenko D;  See L;  Fritz S
Adobe PDF(2931Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2019/06/18
Forest cover  Carbon budget  Carbon sink  Growing stock  Remote sensing  
Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery in Google Earth and Microsoft Bing Maps as a Source of Reference Data. 智库出版物
2018
作者:  Lesiv M;  See L;  Laso Bayas JC;  Sturn T;  Schepaschenko D;  Karner M;  Moorthy I;  McCallum I
Adobe PDF(7777Kb)  |  收藏  |  浏览/下载：4/0  |  提交时间：2019/06/18
very high resolution imagery  land monitoring  validation data  calibration data  
Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery for Monitoring Applications. 智库出版物
2018
作者:  Lesiv M;  See L;  Laso Bayas JC;  Sturn T;  Schepaschenko D;  Karner M;  Moorthy I;  McCallum I
Adobe PDF(1876Kb)  |  收藏  |  浏览/下载：3/0  |  提交时间：2019/06/18
Spatial distribution of arable and abandoned land across former Soviet Union countries. 智库出版物
2018
作者:  Lesiv M;  Schepaschenko D;  Moltchanova E;  Bun R;  Dürauer M;  Prishchepov AV;  Schierhorn F;  Estel S
Adobe PDF(3558Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2019/06/18
Agriculture, Climate sciences, Ecology, Environmental impact, Environmental social sciences  
Developing and applying a multi-purpose land cover validation dataset for Africa. 智库出版物
2018
作者:  Tsendbazar N-E;  Herold M;  de Bruin S;  Lesiv M;  Fritz S;  Van De Kerchove R;  Buchhorn M;  Dürauer M
Adobe PDF(1248Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2019/06/18
Land cover validation  Validation data  Multi-purpose  assessments  Discrete and fractional land cover  Map comparison and user specific accuracies  
Increasing crop production in Russia and Ukraine—regional and global impacts from intensification and recultivation. 智库出版物
2018
作者:  Deppermann A;  Bundle S-C;  Havlik P;  Leclere D;  Lesiv M;  Prishchepov A
Adobe PDF(2338Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2019/06/18
A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform. 智库出版物
2017
作者:  Laso Bayas JC;  Lesiv M;  Waldner F;  Schucknecht A;  Duerauer M;  See L;  Fritz S;  Fraisl D
Adobe PDF(3386Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2019/06/18
Agriculture  Environmental impact  Geography  Sustainability