Matches in SemOpenAlex for { <https://semopenalex.org/work/W3209293485> ?p ?o ?g. }
- W3209293485 endingPage "8360" @default.
- W3209293485 startingPage "8336" @default.
- W3209293485 abstract "Spatiotemporal data fusion algorithms have been developed to fuse satellite imagery from sensors with different spatial and temporal resolutions and generate predicted imagery. In this study, we compare the predictions of three spatiotemporal data fusion algorithms in blending Landsat-8/OLI and Terra-Aqua/MODIS images for mapping soybean and corn under five classification scenarios. The Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM), Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM), and Flexible Spatiotemporal Data Fusion (FSDAF) algorithms were compared to generate images for the 2016/2017 summer crop-year. Classifications including phenological metrics extracted from FSDAF- and STARFM-predicted EVI time series had overalls accuracies higher than the other scenarios, 93.11% and 91.33%, respectively. The results show that phenological metrics extracted from predicted images are an interesting alternative to overcome cloud cover frequency limitations for soybean and corn mapping in tropical areas." @default.
- W3209293485 created "2021-11-08" @default.
- W3209293485 creator A5004785089 @default.
- W3209293485 creator A5023732207 @default.
- W3209293485 creator A5029742929 @default.
- W3209293485 creator A5036149224 @default.
- W3209293485 creator A5055094296 @default.
- W3209293485 creator A5057163343 @default.
- W3209293485 creator A5072278071 @default.
- W3209293485 date "2021-11-09" @default.
- W3209293485 modified "2023-09-27" @default.
- W3209293485 title "Extraction of crop information through the spatiotemporal fusion of OLI and MODIS images" @default.
- W3209293485 cites W1614886892 @default.
- W3209293485 cites W1966711117 @default.
- W3209293485 cites W1976129996 @default.
- W3209293485 cites W1987557628 @default.
- W3209293485 cites W1987927366 @default.
- W3209293485 cites W1998281138 @default.
- W3209293485 cites W2004206930 @default.
- W3209293485 cites W2006690683 @default.
- W3209293485 cites W2012178580 @default.
- W3209293485 cites W2023015896 @default.
- W3209293485 cites W2025645366 @default.
- W3209293485 cites W2025745000 @default.
- W3209293485 cites W2028240797 @default.
- W3209293485 cites W2029185882 @default.
- W3209293485 cites W2041054901 @default.
- W3209293485 cites W2041148025 @default.
- W3209293485 cites W2045084504 @default.
- W3209293485 cites W2050225888 @default.
- W3209293485 cites W2056811372 @default.
- W3209293485 cites W2064907823 @default.
- W3209293485 cites W2068094410 @default.
- W3209293485 cites W2072465375 @default.
- W3209293485 cites W2077884623 @default.
- W3209293485 cites W2080875002 @default.
- W3209293485 cites W2088603520 @default.
- W3209293485 cites W2096260478 @default.
- W3209293485 cites W2102107760 @default.
- W3209293485 cites W2113410727 @default.
- W3209293485 cites W2132164728 @default.
- W3209293485 cites W2137058138 @default.
- W3209293485 cites W2138448722 @default.
- W3209293485 cites W2138973222 @default.
- W3209293485 cites W2139709933 @default.
- W3209293485 cites W2139807351 @default.
- W3209293485 cites W2167594433 @default.
- W3209293485 cites W2200350976 @default.
- W3209293485 cites W2216946510 @default.
- W3209293485 cites W2236623899 @default.
- W3209293485 cites W2261059368 @default.
- W3209293485 cites W2295391820 @default.
- W3209293485 cites W2307094448 @default.
- W3209293485 cites W2316415230 @default.
- W3209293485 cites W2325718943 @default.
- W3209293485 cites W2330780237 @default.
- W3209293485 cites W2344328155 @default.
- W3209293485 cites W2365099516 @default.
- W3209293485 cites W2438450043 @default.
- W3209293485 cites W2508786374 @default.
- W3209293485 cites W2509132632 @default.
- W3209293485 cites W2531168480 @default.
- W3209293485 cites W2548875948 @default.
- W3209293485 cites W2552805558 @default.
- W3209293485 cites W2585282541 @default.
- W3209293485 cites W2612355489 @default.
- W3209293485 cites W2742235445 @default.
- W3209293485 cites W2767886251 @default.
- W3209293485 cites W2770197114 @default.
- W3209293485 cites W2782380681 @default.
- W3209293485 cites W2782794599 @default.
- W3209293485 cites W2783479076 @default.
- W3209293485 cites W2795018073 @default.
- W3209293485 cites W2884971508 @default.
- W3209293485 cites W2888090573 @default.
- W3209293485 cites W2889914295 @default.
- W3209293485 cites W2904606389 @default.
- W3209293485 cites W2911298349 @default.
- W3209293485 cites W2911964244 @default.
- W3209293485 cites W2952474255 @default.
- W3209293485 cites W2962199946 @default.
- W3209293485 cites W2963780514 @default.
- W3209293485 cites W2990083984 @default.
- W3209293485 cites W2990472298 @default.
- W3209293485 cites W3004121545 @default.
- W3209293485 cites W3011782621 @default.
- W3209293485 cites W3015898103 @default.
- W3209293485 cites W3033363369 @default.
- W3209293485 cites W3082544889 @default.
- W3209293485 cites W3103145119 @default.
- W3209293485 cites W3127511452 @default.
- W3209293485 cites W3134412929 @default.
- W3209293485 doi "https://doi.org/10.1080/10106049.2021.2000648" @default.
- W3209293485 hasPublicationYear "2021" @default.
- W3209293485 type Work @default.
- W3209293485 sameAs 3209293485 @default.
- W3209293485 citedByCount "1" @default.
- W3209293485 countsByYear W32092934852023 @default.