FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385606274> ?p ?o ?g. }

• W4385606274 endingPage "100096" @default.
• W4385606274 startingPage "100096" @default.
• W4385606274 abstract "Accurate maps of gains in tree cover are necessary to quantify carbon storage, wildlife habitat, and land use changes. Satellite-based mapping of emerging smallholder woodlots in heterogeneous landscapes of sub-Saharan Africa is challenging. Our goal was to evaluate the use of time series to detect and map small woodlots (<1 ha) in Tanzania. We distinguished woodlots from other land cover types by woodlots' distinct multi-year spectral time series. Woodlots exhibit greening from planting to maturity followed by browning at harvest. We compared two time series approaches: 1) a linear model of Tasseled Cap Wetness (TCW) and other indices, and 2) LandTrendr temporal segmentation metrics. The approaches had equivalent woodlot detection accuracy, but LandTrendr segments had lower accuracy for characterizing woodlot age. We tested the effect of the following factors on woodlot detection and mapping accuracy: the length of the time series (2009–2019), frequency of observations (all Landsat vs. only Landsat-8), spatial resolution (30-m Landsat vs. 10-m Sentinel-2), and woodlot age and size. Woodlot mapping accuracies were higher with longer time series (54% at 3-yrs vs 77% at 7-yrs). The accuracies also improved with more observations, especially when the time series was short (3-yrs Landsat-8 only: 54% vs. all-Landsat: 64%, p-value <0.001). Sentinel-2's higher spatial resolution minimized commission errors even for short time series. Finally, less than half of young and small (<0.4 ha) woodlots were detected, suggesting considerable omission errors in our and other woodlot maps. Our results suggest that the accurate detection of woodlots is possible by analyzing multi-year time series of Landsat and Sentinel-2 data. Given the region's woodlot boom, accurate maps are needed to better quantify woodlots' contribution to carbon sequestration, livelihoods enhancement, and landscape management." @default.
• W4385606274 created "2023-08-06" @default.
• W4385606274 creator A5012139442 @default.
• W4385606274 creator A5077878098 @default.
• W4385606274 date "2023-12-01" @default.
• W4385606274 modified "2023-10-17" @default.
• W4385606274 title "Using Landsat and Sentinel-2 spectral time series to detect East African small woodlots" @default.
• W4385606274 cites W1154758367 @default.
• W4385606274 cites W1452467712 @default.
• W4385606274 cites W1634123468 @default.
• W4385606274 cites W1923576076 @default.
• W4385606274 cites W1963768209 @default.
• W4385606274 cites W1968563567 @default.
• W4385606274 cites W1981213426 @default.
• W4385606274 cites W1993585210 @default.
• W4385606274 cites W2005156666 @default.
• W4385606274 cites W2011500029 @default.
• W4385606274 cites W2015228444 @default.
• W4385606274 cites W2033321074 @default.
• W4385606274 cites W2047032646 @default.
• W4385606274 cites W2079151287 @default.
• W4385606274 cites W2081345410 @default.
• W4385606274 cites W2098329222 @default.
• W4385606274 cites W2098469025 @default.
• W4385606274 cites W2111256709 @default.
• W4385606274 cites W2118364838 @default.
• W4385606274 cites W2140908571 @default.
• W4385606274 cites W2149290009 @default.
• W4385606274 cites W2150913843 @default.
• W4385606274 cites W2153059295 @default.
• W4385606274 cites W2162416391 @default.
• W4385606274 cites W2166109934 @default.
• W4385606274 cites W2168481151 @default.
• W4385606274 cites W2168809519 @default.
• W4385606274 cites W2171395380 @default.
• W4385606274 cites W2234018419 @default.
• W4385606274 cites W2254581607 @default.
• W4385606274 cites W2258959529 @default.
• W4385606274 cites W2290576729 @default.
• W4385606274 cites W2296297379 @default.
• W4385606274 cites W2507726724 @default.
• W4385606274 cites W2515306179 @default.
• W4385606274 cites W2517319102 @default.
• W4385606274 cites W2593418512 @default.
• W4385606274 cites W2599354386 @default.
• W4385606274 cites W2605873782 @default.
• W4385606274 cites W2614464134 @default.
• W4385606274 cites W2621021710 @default.
• W4385606274 cites W2725897987 @default.
• W4385606274 cites W2735042947 @default.
• W4385606274 cites W2769358239 @default.
• W4385606274 cites W2797510741 @default.
• W4385606274 cites W2801667818 @default.
• W4385606274 cites W2889983979 @default.
• W4385606274 cites W2898514183 @default.
• W4385606274 cites W2900636113 @default.
• W4385606274 cites W2906082293 @default.
• W4385606274 cites W2911964244 @default.
• W4385606274 cites W2913065079 @default.
• W4385606274 cites W2918150843 @default.
• W4385606274 cites W2923201082 @default.
• W4385606274 cites W2945897702 @default.
• W4385606274 cites W2953925128 @default.
• W4385606274 cites W2963821057 @default.
• W4385606274 cites W3014601317 @default.
• W4385606274 cites W3021895797 @default.
• W4385606274 cites W3027301329 @default.
• W4385606274 cites W3040201595 @default.
• W4385606274 cites W3112290353 @default.
• W4385606274 cites W3126960161 @default.
• W4385606274 cites W578695671 @default.
• W4385606274 doi "https://doi.org/10.1016/j.srs.2023.100096" @default.
• W4385606274 hasPublicationYear "2023" @default.
• W4385606274 type Work @default.
• W4385606274 citedByCount "0" @default.
• W4385606274 crossrefType "journal-article" @default.
• W4385606274 hasAuthorship W4385606274A5012139442 @default.
• W4385606274 hasAuthorship W4385606274A5077878098 @default.
• W4385606274 hasBestOaLocation W43856062741 @default.
• W4385606274 hasConcept C100970517 @default.
• W4385606274 hasConcept C127313418 @default.
• W4385606274 hasConcept C143724316 @default.
• W4385606274 hasConcept C151730666 @default.
• W4385606274 hasConcept C18903297 @default.
• W4385606274 hasConcept C205649164 @default.
• W4385606274 hasConcept C2780648208 @default.
• W4385606274 hasConcept C39432304 @default.
• W4385606274 hasConcept C4792198 @default.
• W4385606274 hasConcept C62649853 @default.
• W4385606274 hasConcept C86803240 @default.
• W4385606274 hasConcept C97137747 @default.
• W4385606274 hasConceptScore W4385606274C100970517 @default.
• W4385606274 hasConceptScore W4385606274C127313418 @default.
• W4385606274 hasConceptScore W4385606274C143724316 @default.
• W4385606274 hasConceptScore W4385606274C151730666 @default.
• W4385606274 hasConceptScore W4385606274C18903297 @default.
• W4385606274 hasConceptScore W4385606274C205649164 @default.
• W4385606274 hasConceptScore W4385606274C2780648208 @default.

• next