Matches in SemOpenAlex for { <https://semopenalex.org/work/W2178470810> ?p ?o ?g. }
- W2178470810 endingPage "13" @default.
- W2178470810 startingPage "1" @default.
- W2178470810 abstract "Global, timely, accurate and cost-effective cropland mapping is a prerequisite for reliable crop condition monitoring. This article presented a simple and comprehensive methodology capable to meet the requirements of operational cropland mapping by proposing (1) five knowledge-based temporal features that remain stable over time, (2) a cleaning method that discards misleading pixels from a baseline land cover map and (3) a classifier that delivers high accuracy cropland maps (>80%). This was demonstrated over four contrasted agrosystems in Argentina, Belgium, China and Ukraine. It was found that the quality and accuracy of the baseline impact more the certainty of the classification rather than the classification output itself. In addition, it was shown that interpolation of the knowledge-based features increases the stability of the classifier allowing for its re-use from year to year without recalibration. Hence, the method shows potential for application at larger scale as well as for delivering cropland map in near real time." @default.
- W2178470810 created "2016-06-24" @default.
- W2178470810 creator A5001071244 @default.
- W2178470810 creator A5055338308 @default.
- W2178470810 creator A5062689394 @default.
- W2178470810 date "2015-12-01" @default.
- W2178470810 modified "2023-10-17" @default.
- W2178470810 title "Automated annual cropland mapping using knowledge-based temporal features" @default.
- W2178470810 cites W1588713494 @default.
- W2178470810 cites W1786932643 @default.
- W2178470810 cites W1966845328 @default.
- W2178470810 cites W1974001932 @default.
- W2178470810 cites W1974289021 @default.
- W2178470810 cites W1974668861 @default.
- W2178470810 cites W1979634612 @default.
- W2178470810 cites W1982121855 @default.
- W2178470810 cites W1985690611 @default.
- W2178470810 cites W1986738039 @default.
- W2178470810 cites W1987616999 @default.
- W2178470810 cites W1991361881 @default.
- W2178470810 cites W1998281138 @default.
- W2178470810 cites W1999755207 @default.
- W2178470810 cites W2004201407 @default.
- W2178470810 cites W2005881244 @default.
- W2178470810 cites W2015497137 @default.
- W2178470810 cites W2019198919 @default.
- W2178470810 cites W2019601122 @default.
- W2178470810 cites W2019721815 @default.
- W2178470810 cites W2024339093 @default.
- W2178470810 cites W2030088138 @default.
- W2178470810 cites W2031775731 @default.
- W2178470810 cites W2042645898 @default.
- W2178470810 cites W2046945705 @default.
- W2178470810 cites W2051790662 @default.
- W2178470810 cites W2055248879 @default.
- W2178470810 cites W2056435747 @default.
- W2178470810 cites W2057425761 @default.
- W2178470810 cites W2061581247 @default.
- W2178470810 cites W2063545471 @default.
- W2178470810 cites W2063580009 @default.
- W2178470810 cites W2063623478 @default.
- W2178470810 cites W2063907334 @default.
- W2178470810 cites W2065800647 @default.
- W2178470810 cites W2071434991 @default.
- W2178470810 cites W2074632501 @default.
- W2178470810 cites W2077310290 @default.
- W2178470810 cites W2077519572 @default.
- W2178470810 cites W2078619499 @default.
- W2178470810 cites W2081155276 @default.
- W2178470810 cites W2081757228 @default.
- W2178470810 cites W2082081125 @default.
- W2178470810 cites W2086823339 @default.
- W2178470810 cites W2097924260 @default.
- W2178470810 cites W2099507093 @default.
- W2178470810 cites W2104896032 @default.
- W2178470810 cites W2107583574 @default.
- W2178470810 cites W2109044582 @default.
- W2178470810 cites W2112341432 @default.
- W2178470810 cites W2116224228 @default.
- W2178470810 cites W2116973452 @default.
- W2178470810 cites W2118899651 @default.
- W2178470810 cites W2119566670 @default.
- W2178470810 cites W2127348003 @default.
- W2178470810 cites W2131039652 @default.
- W2178470810 cites W2138973222 @default.
- W2178470810 cites W2139670955 @default.
- W2178470810 cites W2140010215 @default.
- W2178470810 cites W2148333466 @default.
- W2178470810 cites W2148509725 @default.
- W2178470810 cites W2148838277 @default.
- W2178470810 cites W2152334070 @default.
- W2178470810 cites W2155195110 @default.
- W2178470810 cites W2161273109 @default.
- W2178470810 cites W2165498247 @default.
- W2178470810 cites W2165661105 @default.
- W2178470810 cites W2169955806 @default.
- W2178470810 cites W2170088503 @default.
- W2178470810 cites W2170804038 @default.
- W2178470810 cites W2171599506 @default.
- W2178470810 cites W2312489378 @default.
- W2178470810 cites W2321715271 @default.
- W2178470810 cites W2339826024 @default.
- W2178470810 doi "https://doi.org/10.1016/j.isprsjprs.2015.09.013" @default.
- W2178470810 hasPublicationYear "2015" @default.
- W2178470810 type Work @default.
- W2178470810 sameAs 2178470810 @default.
- W2178470810 citedByCount "131" @default.
- W2178470810 countsByYear W21784708102015 @default.
- W2178470810 countsByYear W21784708102016 @default.
- W2178470810 countsByYear W21784708102017 @default.
- W2178470810 countsByYear W21784708102018 @default.
- W2178470810 countsByYear W21784708102019 @default.
- W2178470810 countsByYear W21784708102020 @default.
- W2178470810 countsByYear W21784708102021 @default.
- W2178470810 countsByYear W21784708102022 @default.
- W2178470810 countsByYear W21784708102023 @default.
- W2178470810 crossrefType "journal-article" @default.
- W2178470810 hasAuthorship W2178470810A5001071244 @default.