FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3044364573> ?p ?o ?g. }

• W3044364573 endingPage "112004" @default.
• W3044364573 startingPage "112004" @default.
• W3044364573 abstract "The short revisit times afforded by recently-deployed optical satellite sensors that acquire 3–30 m resolution imagery provide new opportunities to study seasonal vegetation dynamics. Previous studies demonstrated a successful retrieval of phenology with Sentinel-2 for relatively stable annual growing seasons. In semi-arid East Africa however, vegetation responds rapidly to a concentration of rainfall over short periods and consequently is subject to strong interannual variability. Obtaining a sufficient density of cloud-free acquisitions to accurately describe these short vegetation cycles is therefore challenging. The objective of this study is to evaluate if data from two satellite constellations, i.e., PlanetScope (3 m resolution) and Sentinel-2 (10 m resolution), each independently allow for accurate mapping of vegetation phenology under these challenging conditions. The study area is a rangeland with bimodal seasonality located at the 128-km2 Kapiti Farm in Machakos County, Kenya. Using all the available PlanetScope and Sentinel-2 imagery between March 2017 and February 2019, we derived temporal NDVI profiles and fitted double hyperbolic tangent models (equivalent to commonly-used logistic functions), separately for the two rainy seasons locally referred to as the short and long rains. We estimated start- and end-of-season for the series using a 50% threshold between minimum and maximum levels of the modelled time series (SOS50/EOS50). We compared our estimates against those obtained from vegetation index series from two alternative sources, i.e. a) greenness chromatic coordinate (GCC) series obtained from digital repeat photography, and b) MODIS NDVI. We found that both PlanetScope and Sentinel-2 series resulted in acceptable retrievals of phenology (RMSD of ~8 days for SOS50 and ~15 days for EOS50 when compared against GCC series) suggesting that the sensors individually provide sufficient temporal detail. However, when applying the model to the entire study area, fewer spatial artefacts occurred in the PlanetScope results. This could be explained by the higher observation frequency of PlanetScope, which becomes critical during periods of persistent cloud cover. We further illustrated that PlanetScope series could differentiate the phenology of individual trees from grassland surroundings, whereby tree green-up was found to be both earlier and later than for grass, depending on location. The spatially-detailed phenology retrievals, as achieved in this study, are expected to help in better understanding climate and degradation impacts on rangeland vegetation, particularly for heterogeneous rangeland systems with large interannual variability in phenology and productivity." @default.
• W3044364573 created "2020-07-29" @default.
• W3044364573 creator A5020570515 @default.
• W3044364573 creator A5037139982 @default.
• W3044364573 creator A5043411772 @default.
• W3044364573 creator A5056154030 @default.
• W3044364573 creator A5065826984 @default.
• W3044364573 creator A5077770020 @default.
• W3044364573 date "2020-10-01" @default.
• W3044364573 modified "2023-10-16" @default.
• W3044364573 title "Phenology of short vegetation cycles in a Kenyan rangeland from PlanetScope and Sentinel-2" @default.
• W3044364573 cites W1783753394 @default.
• W3044364573 cites W1831774382 @default.
• W3044364573 cites W186335667 @default.
• W3044364573 cites W1871310204 @default.
• W3044364573 cites W1955774185 @default.
• W3044364573 cites W1984773692 @default.
• W3044364573 cites W1989816447 @default.
• W3044364573 cites W1993395103 @default.
• W3044364573 cites W1996463620 @default.
• W3044364573 cites W2000323021 @default.
• W3044364573 cites W2000891991 @default.
• W3044364573 cites W2013689051 @default.
• W3044364573 cites W2016948742 @default.
• W3044364573 cites W2018636632 @default.
• W3044364573 cites W2027690707 @default.
• W3044364573 cites W2032701790 @default.
• W3044364573 cites W2035234551 @default.
• W3044364573 cites W2036627824 @default.
• W3044364573 cites W2038927660 @default.
• W3044364573 cites W2042386716 @default.
• W3044364573 cites W2044504174 @default.
• W3044364573 cites W2044615381 @default.
• W3044364573 cites W2072093516 @default.
• W3044364573 cites W2072834400 @default.
• W3044364573 cites W2079783228 @default.
• W3044364573 cites W2085559288 @default.
• W3044364573 cites W2088378115 @default.
• W3044364573 cites W2089642777 @default.
• W3044364573 cites W2091597654 @default.
• W3044364573 cites W2099098700 @default.
• W3044364573 cites W2103589610 @default.
• W3044364573 cites W2108489099 @default.
• W3044364573 cites W2109351220 @default.
• W3044364573 cites W2109889153 @default.
• W3044364573 cites W2113410727 @default.
• W3044364573 cites W2114592457 @default.
• W3044364573 cites W2115952782 @default.
• W3044364573 cites W2116922976 @default.
• W3044364573 cites W2117438495 @default.
• W3044364573 cites W2119784475 @default.
• W3044364573 cites W2119893173 @default.
• W3044364573 cites W2121470454 @default.
• W3044364573 cites W2128078927 @default.
• W3044364573 cites W2129090471 @default.
• W3044364573 cites W2129331467 @default.
• W3044364573 cites W2136066577 @default.
• W3044364573 cites W2138751033 @default.
• W3044364573 cites W2140944264 @default.
• W3044364573 cites W2145145490 @default.
• W3044364573 cites W2146243542 @default.
• W3044364573 cites W2151011640 @default.
• W3044364573 cites W2152092242 @default.
• W3044364573 cites W2153322439 @default.
• W3044364573 cites W2162450543 @default.
• W3044364573 cites W2163450852 @default.
• W3044364573 cites W2163605793 @default.
• W3044364573 cites W2171730988 @default.
• W3044364573 cites W2198334748 @default.
• W3044364573 cites W2207919003 @default.
• W3044364573 cites W2283248741 @default.
• W3044364573 cites W2336629610 @default.
• W3044364573 cites W2337947510 @default.
• W3044364573 cites W2424431479 @default.
• W3044364573 cites W2514511683 @default.
• W3044364573 cites W2517986957 @default.
• W3044364573 cites W2522055505 @default.
• W3044364573 cites W2525312288 @default.
• W3044364573 cites W2526180845 @default.
• W3044364573 cites W2574160848 @default.
• W3044364573 cites W2584156879 @default.
• W3044364573 cites W2592471618 @default.
• W3044364573 cites W2593491678 @default.
• W3044364573 cites W2756317120 @default.
• W3044364573 cites W2761453579 @default.
• W3044364573 cites W2766318834 @default.
• W3044364573 cites W2786346697 @default.
• W3044364573 cites W2793177454 @default.
• W3044364573 cites W2793521295 @default.
• W3044364573 cites W2793603191 @default.
• W3044364573 cites W2794396966 @default.
• W3044364573 cites W2794421859 @default.
• W3044364573 cites W2802758852 @default.
• W3044364573 cites W2807570433 @default.
• W3044364573 cites W2883131067 @default.
• W3044364573 cites W2897285410 @default.
• W3044364573 cites W2974408721 @default.
• W3044364573 cites W2985179740 @default.

• next