FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3106880144> ?p ?o ?g. }

• W3106880144 endingPage "3403" @default.
• W3106880144 startingPage "3403" @default.
• W3106880144 abstract "In developing countries, information on the area and spatial distribution of paddy rice fields is an essential requirement for ensuring food security and facilitating targeted actions of both technical assistance and restoration of degraded production areas. In this study, Sentinel 1 (S1) and Sentinel 2 (S2) imagery was used to map lowland rice crop areas in the Sédhiou region (Senegal) for the 2017, 2018, and 2019 growing seasons using the Random Forest (RF) algorithm. Ground sample datasets were annually collected (416, 455, and 400 samples) for training and testing yearly RF classification. A procedure was preliminarily applied to process S2 scenes and yield a normalized difference vegetation index (NDVI) time series less affected by clouds. A total of 93 predictors were calculated from S2 NDVI time series and S1 vertical transmit–horizontal receive (VH) and vertical transmit–vertical receive (VV) backscatters. Guided regularized random forest (GRRF) was used to deal with the arising multicollinearity and identify the most important predictors. The RF classifier was then applied to the selected predictors. The algorithm predicted the five land cover types present in the test areas, with a maximum accuracy of 87% and kappa coefficient of 0.8 in 2019. The broad land cover maps identified around 12,500 (2017), 13,800 (2018), and 12,800 (2019) ha of lowland rice crops. The study highlighted a partial difficulty of the classifier to distinguish rice from natural herbaceous vegetation (NHV) due to similar temporal patterns and high intra-class variability. Moreover, the results of this investigation indicated that S2-derived predictors provided more valuable information compared to VV and VH backscatter-derived predictors, but a combination of radar and optical imagery always outperformed a classification based on single-sensor inputs. An example is finally provided that illustrates how the maps obtained can be combined with ground observations through a ratio estimator in order to yield a statistically sound prediction of rice area all over the study region." @default.
• W3106880144 created "2020-12-07" @default.
• W3106880144 creator A5002110701 @default.
• W3106880144 creator A5009056194 @default.
• W3106880144 creator A5055713376 @default.
• W3106880144 creator A5070420297 @default.
• W3106880144 date "2020-10-16" @default.
• W3106880144 modified "2023-10-16" @default.
• W3106880144 title "Lowland Rice Mapping in Sédhiou Region (Senegal) Using Sentinel 1 and Sentinel 2 Data and Random Forest" @default.
• W3106880144 cites W1565635109 @default.
• W3106880144 cites W1669758712 @default.
• W3106880144 cites W1887141680 @default.
• W3106880144 cites W1982864361 @default.
• W3106880144 cites W1986658172 @default.
• W3106880144 cites W1990244654 @default.
• W3106880144 cites W2022604714 @default.
• W3106880144 cites W2034394311 @default.
• W3106880144 cites W2048889118 @default.
• W3106880144 cites W2053154970 @default.
• W3106880144 cites W2058723831 @default.
• W3106880144 cites W2068094410 @default.
• W3106880144 cites W2109606373 @default.
• W3106880144 cites W2113249705 @default.
• W3106880144 cites W2118631019 @default.
• W3106880144 cites W2133941557 @default.
• W3106880144 cites W2148903380 @default.
• W3106880144 cites W2163393365 @default.
• W3106880144 cites W2188225820 @default.
• W3106880144 cites W2230432153 @default.
• W3106880144 cites W2246524283 @default.
• W3106880144 cites W2314822247 @default.
• W3106880144 cites W2468363661 @default.
• W3106880144 cites W2490203368 @default.
• W3106880144 cites W2531168480 @default.
• W3106880144 cites W2585309444 @default.
• W3106880144 cites W2586216468 @default.
• W3106880144 cites W2587031013 @default.
• W3106880144 cites W2606707877 @default.
• W3106880144 cites W2620657726 @default.
• W3106880144 cites W2745131289 @default.
• W3106880144 cites W2756460310 @default.
• W3106880144 cites W2767953525 @default.
• W3106880144 cites W2804839269 @default.
• W3106880144 cites W2810242891 @default.
• W3106880144 cites W2895854890 @default.
• W3106880144 cites W2898161806 @default.
• W3106880144 cites W2911964244 @default.
• W3106880144 cites W2916319288 @default.
• W3106880144 cites W2942971564 @default.
• W3106880144 cites W2954349187 @default.
• W3106880144 cites W2973071571 @default.
• W3106880144 cites W3011499952 @default.
• W3106880144 cites W3021783556 @default.
• W3106880144 doi "https://doi.org/10.3390/rs12203403" @default.
• W3106880144 hasPublicationYear "2020" @default.
• W3106880144 type Work @default.
• W3106880144 sameAs 3106880144 @default.
• W3106880144 citedByCount "20" @default.
• W3106880144 countsByYear W31068801442021 @default.
• W3106880144 countsByYear W31068801442022 @default.
• W3106880144 countsByYear W31068801442023 @default.
• W3106880144 crossrefType "journal-article" @default.
• W3106880144 hasAuthorship W3106880144A5002110701 @default.
• W3106880144 hasAuthorship W3106880144A5009056194 @default.
• W3106880144 hasAuthorship W3106880144A5055713376 @default.
• W3106880144 hasAuthorship W3106880144A5070420297 @default.
• W3106880144 hasBestOaLocation W31068801441 @default.
• W3106880144 hasConcept C100970517 @default.
• W3106880144 hasConcept C127313418 @default.
• W3106880144 hasConcept C1549246 @default.
• W3106880144 hasConcept C154945302 @default.
• W3106880144 hasConcept C169258074 @default.
• W3106880144 hasConcept C187320778 @default.
• W3106880144 hasConcept C18903297 @default.
• W3106880144 hasConcept C205649164 @default.
• W3106880144 hasConcept C25989453 @default.
• W3106880144 hasConcept C2780376076 @default.
• W3106880144 hasConcept C2780648208 @default.
• W3106880144 hasConcept C39432304 @default.
• W3106880144 hasConcept C41008148 @default.
• W3106880144 hasConcept C4792198 @default.
• W3106880144 hasConcept C58640448 @default.
• W3106880144 hasConcept C62649853 @default.
• W3106880144 hasConcept C6557445 @default.
• W3106880144 hasConcept C76886044 @default.
• W3106880144 hasConcept C78869512 @default.
• W3106880144 hasConcept C86803240 @default.
• W3106880144 hasConcept C97137747 @default.
• W3106880144 hasConceptScore W3106880144C100970517 @default.
• W3106880144 hasConceptScore W3106880144C127313418 @default.
• W3106880144 hasConceptScore W3106880144C1549246 @default.
• W3106880144 hasConceptScore W3106880144C154945302 @default.
• W3106880144 hasConceptScore W3106880144C169258074 @default.
• W3106880144 hasConceptScore W3106880144C187320778 @default.
• W3106880144 hasConceptScore W3106880144C18903297 @default.
• W3106880144 hasConceptScore W3106880144C205649164 @default.
• W3106880144 hasConceptScore W3106880144C25989453 @default.
• W3106880144 hasConceptScore W3106880144C2780376076 @default.

• next