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- W4292264037 abstract "Poplar (Populus spp.) is a fast-growing tree planted to meet the growing global demand for wood products. In France, the country with the largest area planted with poplar in Europe, accurate and up-to-date maps of its spatial distribution are not available at the national scale. This makes it difficult to estimate the extent and location of the poplar resource and calls for the development of a robust and timely stable approach for mapping large areas in order to ensure efficient monitoring. In this study, we investigate the potential of the Sentinel-2 time series to map the diversity of poplar plantations at the French countrywide scale. By comparing multiple configurations of spectral features based on spectral bands and indices over two years (2017 and 2018), we identify the optimal spectral regions with their respective time periods to distinguish poplar plantations from other deciduous species. We also define a novel poplar detection index (PI) with four variants that combine the best discriminative spectral bands. The results highlight the relevance of SWIR followed by red edge regions, mainly in the growing season, to accurately detect poplar plantations, reflecting the sensitivity of poplar trees to water content throughout their phenological cycle. The best performances with stable results were obtained with the PI2 poplar index combining the B5, B11, and B12 spectral bands. The PI2 index was validated over two years with an average producer’s accuracy of 92% in 2017 and 95% in 2018. This new index was used to produce the national map of poplar plantations in 2018. This study provides an operational approach for monitoring the poplar resource over large areas for forest managers." @default.
- W4292264037 created "2022-08-19" @default.
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- W4292264037 creator A5033471275 @default.
- W4292264037 creator A5078648229 @default.
- W4292264037 date "2022-08-16" @default.
- W4292264037 modified "2023-10-18" @default.
- W4292264037 title "Sentinel-2 Poplar Index for Operational Mapping of Poplar Plantations over Large Areas" @default.
- W4292264037 cites W1553674903 @default.
- W4292264037 cites W1966854564 @default.
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- W4292264037 cites W1974110440 @default.
- W4292264037 cites W1974289021 @default.
- W4292264037 cites W1978617972 @default.
- W4292264037 cites W1991724466 @default.
- W4292264037 cites W1999312795 @default.
- W4292264037 cites W2004553299 @default.
- W4292264037 cites W2012686349 @default.
- W4292264037 cites W2014915963 @default.
- W4292264037 cites W2023519189 @default.
- W4292264037 cites W2025757188 @default.
- W4292264037 cites W2028261619 @default.
- W4292264037 cites W2031652804 @default.
- W4292264037 cites W2035743981 @default.
- W4292264037 cites W2044439250 @default.
- W4292264037 cites W2046404820 @default.
- W4292264037 cites W2048763583 @default.
- W4292264037 cites W2049398443 @default.
- W4292264037 cites W2051128904 @default.
- W4292264037 cites W2052331316 @default.
- W4292264037 cites W2058312673 @default.
- W4292264037 cites W2058831424 @default.
- W4292264037 cites W2059166146 @default.
- W4292264037 cites W2061411772 @default.
- W4292264037 cites W2064632414 @default.
- W4292264037 cites W2065051496 @default.
- W4292264037 cites W2084413241 @default.
- W4292264037 cites W2084670816 @default.
- W4292264037 cites W2088304553 @default.
- W4292264037 cites W2094773722 @default.
- W4292264037 cites W2095345875 @default.
- W4292264037 cites W2098057602 @default.
- W4292264037 cites W2106488983 @default.
- W4292264037 cites W2128438912 @default.
- W4292264037 cites W2148308889 @default.
- W4292264037 cites W2151880387 @default.
- W4292264037 cites W2155313867 @default.
- W4292264037 cites W2163522904 @default.
- W4292264037 cites W2167101736 @default.
- W4292264037 cites W2167277498 @default.
- W4292264037 cites W2168481151 @default.
- W4292264037 cites W2170909719 @default.
- W4292264037 cites W2185445703 @default.
- W4292264037 cites W2296297379 @default.
- W4292264037 cites W2342893289 @default.
- W4292264037 cites W2507726724 @default.
- W4292264037 cites W2515306179 @default.
- W4292264037 cites W2581906016 @default.
- W4292264037 cites W2589453516 @default.
- W4292264037 cites W2724492233 @default.
- W4292264037 cites W2782453127 @default.
- W4292264037 cites W2789115502 @default.
- W4292264037 cites W2792301033 @default.
- W4292264037 cites W2799462250 @default.
- W4292264037 cites W2898152330 @default.
- W4292264037 cites W2898875453 @default.
- W4292264037 cites W2907047183 @default.
- W4292264037 cites W2907056233 @default.
- W4292264037 cites W2911964244 @default.
- W4292264037 cites W2935706473 @default.
- W4292264037 cites W2954960785 @default.
- W4292264037 cites W2976696463 @default.
- W4292264037 cites W2979065907 @default.
- W4292264037 cites W2980382960 @default.
- W4292264037 cites W2984223285 @default.
- W4292264037 cites W2988576146 @default.
- W4292264037 cites W2999585470 @default.
- W4292264037 cites W3007817793 @default.
- W4292264037 cites W3018923594 @default.
- W4292264037 cites W3034401742 @default.
- W4292264037 cites W3037997402 @default.
- W4292264037 cites W3040201595 @default.
- W4292264037 cites W3041467694 @default.
- W4292264037 cites W3048997036 @default.
- W4292264037 cites W3088522164 @default.
- W4292264037 cites W3105348024 @default.
- W4292264037 cites W3118969018 @default.
- W4292264037 cites W3125019278 @default.
- W4292264037 cites W3152223480 @default.
- W4292264037 cites W3159278315 @default.
- W4292264037 cites W3160614871 @default.
- W4292264037 cites W3208922783 @default.
- W4292264037 cites W4220827309 @default.
- W4292264037 doi "https://doi.org/10.3390/rs14163975" @default.
- W4292264037 hasPublicationYear "2022" @default.
- W4292264037 type Work @default.