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Comparison of Data Fusion Methods Using Crowdsourced Data in Creating a Hybrid Forest Cover Map. 智库出版物
2016
作者:  Lesiv M;  Moltchanova E;  Shchepashchenko D;  See L;  Shvidenko A;  Comber A;  Fritz S
Adobe PDF(2949Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2019/06/18
data fusion methods  forest map  remote sensing  geographically-weighted regression  
Development of a global hybrid forest mask through the synergy of remote sensing, crowdsourcing and FAO statistics. 智库出版物
2015
作者:  Schepaschenko D;  See L;  Lesiv M;  McCallum I;  Fritz S;  Salk C;  Perger C;  Shvidenko A
收藏  |  浏览/下载：0/0  |  提交时间：2019/06/18
forest cover  geographically weighted regression  crowdsourcing  
Building a hybrid land cover map with crowdsourcing and geographically weighted regression. 智库出版物
2015
作者:  See L;  Schepaschenko D;  Lesiv M;  McCallum I;  Fritz S;  Perger C;  Vakolyuk M;  Schepaschenko M
Adobe PDF(576Kb)  |  收藏  |  浏览/下载：1/0  |  提交时间：2019/06/18
Land cover  Validation  Crowdsourcing  Map integration  Global land cover  Geographically weighted regression  
Estimation of forest area and its dynamics in Russia based on synthesis of remote sensing products. 智库出版物
2015
作者:  Schepaschenko D;  Shvidenko AZ;  Lesiv M;  Ontikov PV;  Shchepashchenko MV;  Kraxner F
Adobe PDF(702Kb)  |  收藏  |  浏览/下载：0/0  |  提交时间：2019/06/18
Russian forest  remote sensing  crowdsourcing  forest cover  geographically weighted regression