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来源类型Article
规范类型其他
DOI10.1038/sdata.2017.136
A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform.
Laso Bayas JC; Lesiv M; Waldner F; Schucknecht A; Duerauer M; See L; Fritz S; Fraisl D
发表日期2017
出处Scientific Data 4: e170136
出版年2017
语种英语
摘要A global reference data set on cropland was collected through a crowdsourcing campaign using the Geo-Wiki crowdsourcing tool. The campaign lasted three weeks, with over 80 participants from around the world reviewing almost 36,000 sample units, focussing on cropland identification. For quality assessment purposes, two additional data sets are provided. The first is a control set of 1,793 sample locations validated by students trained in satellite image interpretation. This data set was used to assess the quality of the crowd as the campaign progressed. The second data set contains 60 expert validations for additional evaluation of the quality of the contributions. All data sets are split into two parts: the first part shows all areas classified as cropland and the second part shows cropland average per location and user. After further processing, the data presented here might be suitable to validate and compare medium and high resolution cropland maps generated using remote sensing. These could also be used to train classification algorithms for developing new maps of land cover and cropland extent.
主题Ecosystems Services and Management (ESM)
关键词Agriculture Environmental impact Geography Sustainability
URLhttp://pure.iiasa.ac.at/id/eprint/14850/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/131038
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Laso Bayas JC,Lesiv M,Waldner F,et al. A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform.. 2017.
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