FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2937220696> ?p ?o ?g. }

• W2937220696 endingPage "887" @default.
• W2937220696 startingPage "887" @default.
• W2937220696 abstract "This study proposes an effective method to map rice crops using the Sentinel-1 SAR (Synthetic Aperture Radar) time series over the Camargue region, Southern France. First, the temporal behavior of the SAR backscattering coefficient over 832 plots containing different crop types was analyzed. Through this analysis, the rice cultivation was identified using metrics derived from the Gaussian profile of the VV/VH time series (3 metrics), the variance of the VV/VH time series (one metric), and the slope of the linear regression of the VH time series (one metric). Using the derived metrics, rice plots were mapped through two different approaches: decision tree and Random Forest (RF). To validate the accuracy of each approach, the classified rice map was compared to the available national data. Similar high overall accuracy was obtained using both approaches. The overall accuracy obtained using a simple decision tree reached 96.3%, whereas an overall accuracy of 96.6% was obtained using the RF classifier. The approach, therefore, provides a simple yet precise and powerful tool to map paddy rice areas." @default.
• W2937220696 created "2019-04-25" @default.
• W2937220696 creator A5005595654 @default.
• W2937220696 creator A5028242808 @default.
• W2937220696 creator A5033284277 @default.
• W2937220696 creator A5035101441 @default.
• W2937220696 creator A5065161398 @default.
• W2937220696 creator A5066811722 @default.
• W2937220696 creator A5076394373 @default.
• W2937220696 creator A5086874357 @default.
• W2937220696 date "2019-04-11" @default.
• W2937220696 modified "2023-09-30" @default.
• W2937220696 title "Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France" @default.
• W2937220696 cites W1969701520 @default.
• W2937220696 cites W1986658172 @default.
• W2937220696 cites W2038622951 @default.
• W2937220696 cites W2045877890 @default.
• W2937220696 cites W2058723831 @default.
• W2937220696 cites W2075001972 @default.
• W2937220696 cites W2077109367 @default.
• W2937220696 cites W2112206513 @default.
• W2937220696 cites W2133043154 @default.
• W2937220696 cites W2150973072 @default.
• W2937220696 cites W2158698691 @default.
• W2937220696 cites W2164777277 @default.
• W2937220696 cites W2171688314 @default.
• W2937220696 cites W2173718107 @default.
• W2937220696 cites W2228578885 @default.
• W2937220696 cites W2261272073 @default.
• W2937220696 cites W2402632305 @default.
• W2937220696 cites W2520905560 @default.
• W2937220696 cites W2594357171 @default.
• W2937220696 cites W2617848287 @default.
• W2937220696 cites W2769642400 @default.
• W2937220696 cites W2773793494 @default.
• W2937220696 cites W2785681726 @default.
• W2937220696 cites W2793438689 @default.
• W2937220696 cites W2793923031 @default.
• W2937220696 cites W2811103605 @default.
• W2937220696 cites W2886106861 @default.
• W2937220696 cites W2886493749 @default.
• W2937220696 cites W2889759488 @default.
• W2937220696 cites W2890713182 @default.
• W2937220696 cites W2890851103 @default.
• W2937220696 cites W2901719150 @default.
• W2937220696 doi "https://doi.org/10.3390/rs11070887" @default.
• W2937220696 hasPublicationYear "2019" @default.
• W2937220696 type Work @default.
• W2937220696 sameAs 2937220696 @default.
• W2937220696 citedByCount "90" @default.
• W2937220696 countsByYear W29372206962019 @default.
• W2937220696 countsByYear W29372206962020 @default.
• W2937220696 countsByYear W29372206962021 @default.
• W2937220696 countsByYear W29372206962022 @default.
• W2937220696 countsByYear W29372206962023 @default.
• W2937220696 crossrefType "journal-article" @default.
• W2937220696 hasAuthorship W2937220696A5005595654 @default.
• W2937220696 hasAuthorship W2937220696A5028242808 @default.
• W2937220696 hasAuthorship W2937220696A5033284277 @default.
• W2937220696 hasAuthorship W2937220696A5035101441 @default.
• W2937220696 hasAuthorship W2937220696A5065161398 @default.
• W2937220696 hasAuthorship W2937220696A5066811722 @default.
• W2937220696 hasAuthorship W2937220696A5076394373 @default.
• W2937220696 hasAuthorship W2937220696A5086874357 @default.
• W2937220696 hasBestOaLocation W29372206961 @default.
• W2937220696 hasConcept C105795698 @default.
• W2937220696 hasConcept C124101348 @default.
• W2937220696 hasConcept C127313418 @default.
• W2937220696 hasConcept C143724316 @default.
• W2937220696 hasConcept C151406439 @default.
• W2937220696 hasConcept C151730666 @default.
• W2937220696 hasConcept C154945302 @default.
• W2937220696 hasConcept C169258074 @default.
• W2937220696 hasConcept C205649164 @default.
• W2937220696 hasConcept C33923547 @default.
• W2937220696 hasConcept C41008148 @default.
• W2937220696 hasConcept C62649853 @default.
• W2937220696 hasConcept C84525736 @default.
• W2937220696 hasConcept C87360688 @default.
• W2937220696 hasConceptScore W2937220696C105795698 @default.
• W2937220696 hasConceptScore W2937220696C124101348 @default.
• W2937220696 hasConceptScore W2937220696C127313418 @default.
• W2937220696 hasConceptScore W2937220696C143724316 @default.
• W2937220696 hasConceptScore W2937220696C151406439 @default.
• W2937220696 hasConceptScore W2937220696C151730666 @default.
• W2937220696 hasConceptScore W2937220696C154945302 @default.
• W2937220696 hasConceptScore W2937220696C169258074 @default.
• W2937220696 hasConceptScore W2937220696C205649164 @default.
• W2937220696 hasConceptScore W2937220696C33923547 @default.
• W2937220696 hasConceptScore W2937220696C41008148 @default.
• W2937220696 hasConceptScore W2937220696C62649853 @default.
• W2937220696 hasConceptScore W2937220696C84525736 @default.
• W2937220696 hasConceptScore W2937220696C87360688 @default.
• W2937220696 hasIssue "7" @default.
• W2937220696 hasLocation W29372206961 @default.
• W2937220696 hasLocation W29372206962 @default.
• W2937220696 hasLocation W29372206963 @default.
• W2937220696 hasLocation W29372206964 @default.

• next