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来源类型Article
规范类型其他
DOI10.4236/ijg.2013.46A1002
Mapping cropland in Ethiopia using crowdsourcing.
See L; McCallum I; Fritz S; Perger C; Kraxner F; Obersteiner M; Deka Baruah U; Mili N
发表日期2013
出处International Journal of Geosciences 4 (6): 6-13
出版年2013
语种英语
摘要The spatial distribution of cropland is an important input to many applications including food security monitoring and economic land use modeling. Global land cover maps derived from remote sensing are one source of cropland but they are currently not accurate enough in the cropland domain to meet the needs of the user community. Moreover, when compared with one another, these land cover products show large areas of spatial disagreement, which makes the choice very difficult regarding which land cover product to use. This paper takes an entirely different approach to mapping cropland, using crowdsourcing of Google Earth imagery via tools in Geo-Wiki. Using sample data generated by a crowdsourcing campaign for the collection of the degree of cultivation and settlement in Ethiopia, a cropland map was created using simple inverse distance weighted interpolation. The map was validated using data from the GOFC-GOLD validation portal and an independent crowdsourced dataset from Geo-Wiki. The results show that the crowdsourced cropland map for Ethiopia has a higher overall accuracy than the individual global land cover products for this country. Such an approach has great potential for mapping cropland in other countries where such data do not currently exist. Not only is the approach inexpensive but the data can be collected over a very short period of time using an existing network of volunteers.
主题Ecosystems Services and Management (ESM)
关键词Cropland Mapping Crowdsourcing Interpolation Validation
URLhttp://pure.iiasa.ac.at/id/eprint/10293/
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/129613
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GB/T 7714
See L,McCallum I,Fritz S,et al. Mapping cropland in Ethiopia using crowdsourcing.. 2013.
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