Matches in SemOpenAlex for { <https://semopenalex.org/work/W2886759672> ?p ?o ?g. }
- W2886759672 endingPage "93" @default.
- W2886759672 startingPage "82" @default.
- W2886759672 abstract "Abstract Maize agriculture is experiencing substantial changes in the spatiotemporal pattern of planting areas in the most populous country-China. However, there is no spatially explicit and continuous information at national scale. Mapping maize at national scale is challenging due to intra-class variability of Vegetation Indices (VIs) temporal profile. This study coped with this challenge through combined utilizations of the EVI with two bands (EVI2) and Normalized Multi-band Drought Index (NMDI) time series datasets. A novel Maize mapping algorithm was proposed through Exploring Leaf moisture variation during flowering Stage (MELS). An indicator, the Ratio of Cumulative Positive slope to Negative slope (RCPN) during flowering stage, was developed based on NMDI and utilized as the unique metric for maize mapping. The capability of the MELS method was verified using the 8-day composite MODerate resolution Imaging Spectroradiometer (MODIS) datasets in China from 2005 to 2017. The derived maize map was consistent with the agricultural census data (r2 = 0.8875 in 2015) and 2020 ground truth observations (overall accuracy = 91.49%). Validation with Landsat-interpreted images in the test regions further confirmed its fairly good accuracy, with overall accuracy of 87.91% and kappa coefficient of 0.8577. We first generated annual maize maps from 2005 to 2017 in China. Maize planting areas increased continuously 100,130 km2 (by 33.20%) during the period 2005–2015 and decreased 10,424 km2 (by 2.60%) from 2015 to 2017. The increase of cropping intensity, replacement of paddy rice and other non-maize dryland crops areas accounted for 36.48%, 34.23% and 29.29% of the dramatic increased maize areas from 2005 to 2015, respectively." @default.
- W2886759672 created "2018-08-22" @default.
- W2886759672 creator A5002591515 @default.
- W2886759672 creator A5027121719 @default.
- W2886759672 creator A5060050761 @default.
- W2886759672 creator A5071372667 @default.
- W2886759672 creator A5087923185 @default.
- W2886759672 date "2018-10-01" @default.
- W2886759672 modified "2023-10-12" @default.
- W2886759672 title "Mapping spatiotemporal dynamics of maize in China from 2005 to 2017 through designing leaf moisture based indicator from Normalized Multi-band Drought Index" @default.
- W2886759672 cites W1784020668 @default.
- W2886759672 cites W1894641570 @default.
- W2886759672 cites W1963809378 @default.
- W2886759672 cites W1965093652 @default.
- W2886759672 cites W1967542684 @default.
- W2886759672 cites W1976129996 @default.
- W2886759672 cites W1979972384 @default.
- W2886759672 cites W1989649445 @default.
- W2886759672 cites W1990269578 @default.
- W2886759672 cites W1991861340 @default.
- W2886759672 cites W1998725099 @default.
- W2886759672 cites W2006929658 @default.
- W2886759672 cites W2015008560 @default.
- W2886759672 cites W2025161571 @default.
- W2886759672 cites W2027161588 @default.
- W2886759672 cites W2027306186 @default.
- W2886759672 cites W2029743396 @default.
- W2886759672 cites W2030165874 @default.
- W2886759672 cites W2054391844 @default.
- W2886759672 cites W2058723831 @default.
- W2886759672 cites W2063710093 @default.
- W2886759672 cites W2065069954 @default.
- W2886759672 cites W2090231298 @default.
- W2886759672 cites W2091341646 @default.
- W2886759672 cites W2094677081 @default.
- W2886759672 cites W2095055020 @default.
- W2886759672 cites W2099507093 @default.
- W2886759672 cites W2120580365 @default.
- W2886759672 cites W2138973222 @default.
- W2886759672 cites W2153548937 @default.
- W2886759672 cites W2170168155 @default.
- W2886759672 cites W2178470810 @default.
- W2886759672 cites W2279106898 @default.
- W2886759672 cites W2290326488 @default.
- W2886759672 cites W2297287410 @default.
- W2886759672 cites W2298468320 @default.
- W2886759672 cites W2346134636 @default.
- W2886759672 cites W2438450043 @default.
- W2886759672 cites W2468363661 @default.
- W2886759672 cites W250311148 @default.
- W2886759672 cites W2547596710 @default.
- W2886759672 cites W2555988103 @default.
- W2886759672 cites W2557992764 @default.
- W2886759672 cites W2568539368 @default.
- W2886759672 cites W2578702108 @default.
- W2886759672 cites W2578830027 @default.
- W2886759672 cites W2607245364 @default.
- W2886759672 cites W2609996329 @default.
- W2886759672 cites W2748934424 @default.
- W2886759672 cites W2790013045 @default.
- W2886759672 cites W600580655 @default.
- W2886759672 doi "https://doi.org/10.1016/j.compag.2018.07.039" @default.
- W2886759672 hasPublicationYear "2018" @default.
- W2886759672 type Work @default.
- W2886759672 sameAs 2886759672 @default.
- W2886759672 citedByCount "25" @default.
- W2886759672 countsByYear W28867596722019 @default.
- W2886759672 countsByYear W28867596722020 @default.
- W2886759672 countsByYear W28867596722021 @default.
- W2886759672 countsByYear W28867596722022 @default.
- W2886759672 countsByYear W28867596722023 @default.
- W2886759672 crossrefType "journal-article" @default.
- W2886759672 hasAuthorship W2886759672A5002591515 @default.
- W2886759672 hasAuthorship W2886759672A5027121719 @default.
- W2886759672 hasAuthorship W2886759672A5060050761 @default.
- W2886759672 hasAuthorship W2886759672A5071372667 @default.
- W2886759672 hasAuthorship W2886759672A5087923185 @default.
- W2886759672 hasConcept C127413603 @default.
- W2886759672 hasConcept C136764020 @default.
- W2886759672 hasConcept C153294291 @default.
- W2886759672 hasConcept C166957645 @default.
- W2886759672 hasConcept C176864760 @default.
- W2886759672 hasConcept C187320778 @default.
- W2886759672 hasConcept C191935318 @default.
- W2886759672 hasConcept C205649164 @default.
- W2886759672 hasConcept C24939127 @default.
- W2886759672 hasConcept C25989453 @default.
- W2886759672 hasConcept C2777382242 @default.
- W2886759672 hasConcept C39432304 @default.
- W2886759672 hasConcept C41008148 @default.
- W2886759672 hasConcept C62649853 @default.
- W2886759672 hasConcept C6557445 @default.
- W2886759672 hasConcept C86803240 @default.
- W2886759672 hasConcept C88463610 @default.
- W2886759672 hasConceptScore W2886759672C127413603 @default.
- W2886759672 hasConceptScore W2886759672C136764020 @default.
- W2886759672 hasConceptScore W2886759672C153294291 @default.
- W2886759672 hasConceptScore W2886759672C166957645 @default.