FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4381930554> ?p ?o ?g. }

• W4381930554 abstract "Bark beetle infestations are among the most substantial forest disturbance agents worldwide. Moreover, as a consequence of global climate change, they have increased in frequency and in the size and number of affected areas. Controlling bark beetle outbreaks requires consistent operational monitoring, as is possible using satellite data. However, while many satellite-based approaches have been developed, the full potential of dense, multi-sensor time series has yet to be fully explored. Here, for the first time, we used all available multispectral data from Landsat and Sentinel-2, Sentinel-1 SAR data, and combinations thereof to detect bark beetle infestations in the Bavarian Forest National Park. Based on a multi-year reference dataset of annual infested areas, we assessed the separability between healthy and infested forests for various vegetation indices calculated from the satellite data. We used two approaches to compute infestation probability time series from the different datasets: Bayesian conditional probabilities, based on the best-separating index from each satellite type, and random forest regression, based on all indices from each satellite type. Five different sensor configurations were tested for their detection capabilities: Landsat alone, Sentinel-1 alone, Sentinel-2 alone, Landsat and Sentinel-2 combined, and data from all satellite types combined. The best overall results in terms of spatial accuracy were achieved with Sentinel-2 (max. overall accuracy: 0.93). The detections of Sentinel-2 also were the closest to the onset of infestation estimated for each year. Sentinel-2 detected infested areas in larger contiguous patches with higher reliability compared to smaller patches. The results achieved with Landsat were somewhat inferior to those of Sentinel-2 (max. accuracy: 0.89). While yielding similar results, the combination of Landsat and Sentinel-2 did not provide any advantages over using Landsat or Sentinel-2 alone (max. accuracy: 0.87), while Sentinel-1 was unable to detect infested areas (max. accuracy: 0.62). The combined data of all three satellite types did not achieve satisfactory results either (max. accuracy: 0.67). Spatial accuracies were typically higher for Bayesian conditional probabilities than for random forest-derived probabilities, but the latter resulted in earlier detections. The approach presented herein provides a flexible disturbance detection pipeline well-suited for the monitoring of bark beetle outbreaks. Furthermore, it can also be applied to other disturbance types." @default.
• W4381930554 created "2023-06-25" @default.
• W4381930554 creator A5006620203 @default.
• W4381930554 creator A5016864404 @default.
• W4381930554 creator A5017868081 @default.
• W4381930554 creator A5049284230 @default.
• W4381930554 creator A5051610228 @default.
• W4381930554 date "2023-06-23" @default.
• W4381930554 modified "2023-09-30" @default.
• W4381930554 title "Assessing Combinations of Landsat, Sentinel-2 and Sentinel-1 Time series for Detecting Bark Beetle Infestations" @default.
• W4381930554 cites W1569476219 @default.
• W4381930554 cites W1730937402 @default.
• W4381930554 cites W1970475948 @default.
• W4381930554 cites W1978617972 @default.
• W4381930554 cites W1980058571 @default.
• W4381930554 cites W1981213426 @default.
• W4381930554 cites W1989203457 @default.
• W4381930554 cites W1996656563 @default.
• W4381930554 cites W1998351672 @default.
• W4381930554 cites W1998842586 @default.
• W4381930554 cites W2007148865 @default.
• W4381930554 cites W2010581442 @default.
• W4381930554 cites W2011500029 @default.
• W4381930554 cites W2012711757 @default.
• W4381930554 cites W2020947608 @default.
• W4381930554 cites W2024081693 @default.
• W4381930554 cites W2025461083 @default.
• W4381930554 cites W2025745000 @default.
• W4381930554 cites W2026337641 @default.
• W4381930554 cites W2028240797 @default.
• W4381930554 cites W2030448618 @default.
• W4381930554 cites W2031600437 @default.
• W4381930554 cites W2044740371 @default.
• W4381930554 cites W2052700773 @default.
• W4381930554 cites W2056435747 @default.
• W4381930554 cites W2057084393 @default.
• W4381930554 cites W2059217921 @default.
• W4381930554 cites W2061528461 @default.
• W4381930554 cites W2063623478 @default.
• W4381930554 cites W2064875349 @default.
• W4381930554 cites W2070858879 @default.
• W4381930554 cites W2072861672 @default.
• W4381930554 cites W2090417555 @default.
• W4381930554 cites W2091720886 @default.
• W4381930554 cites W2109176572 @default.
• W4381930554 cites W2109606373 @default.
• W4381930554 cites W2112206513 @default.
• W4381930554 cites W2113410727 @default.
• W4381930554 cites W2124017200 @default.
• W4381930554 cites W2130239832 @default.
• W4381930554 cites W2140908571 @default.
• W4381930554 cites W2159866370 @default.
• W4381930554 cites W2159961845 @default.
• W4381930554 cites W2161724599 @default.
• W4381930554 cites W2162416391 @default.
• W4381930554 cites W2163541402 @default.
• W4381930554 cites W2261059368 @default.
• W4381930554 cites W2301326879 @default.
• W4381930554 cites W2332981326 @default.
• W4381930554 cites W2333990577 @default.
• W4381930554 cites W2336629610 @default.
• W4381930554 cites W2482348222 @default.
• W4381930554 cites W2553436450 @default.
• W4381930554 cites W2560901046 @default.
• W4381930554 cites W2587019393 @default.
• W4381930554 cites W2606093983 @default.
• W4381930554 cites W2618708155 @default.
• W4381930554 cites W2725897987 @default.
• W4381930554 cites W2735087910 @default.
• W4381930554 cites W2760577391 @default.
• W4381930554 cites W2766826930 @default.
• W4381930554 cites W2791930881 @default.
• W4381930554 cites W2793728001 @default.
• W4381930554 cites W2796108540 @default.
• W4381930554 cites W2799805920 @default.
• W4381930554 cites W2886438884 @default.
• W4381930554 cites W2888218114 @default.
• W4381930554 cites W2897285410 @default.
• W4381930554 cites W2911964244 @default.
• W4381930554 cites W2914237936 @default.
• W4381930554 cites W2916786190 @default.
• W4381930554 cites W2920767026 @default.
• W4381930554 cites W2920930972 @default.
• W4381930554 cites W2945667213 @default.
• W4381930554 cites W2954000238 @default.
• W4381930554 cites W2959870684 @default.
• W4381930554 cites W2965689387 @default.
• W4381930554 cites W2967487415 @default.
• W4381930554 cites W2970153071 @default.
• W4381930554 cites W2973204274 @default.
• W4381930554 cites W2987421731 @default.
• W4381930554 cites W3009000090 @default.
• W4381930554 cites W3023449409 @default.
• W4381930554 cites W3027299578 @default.
• W4381930554 cites W3028164413 @default.
• W4381930554 cites W3034843493 @default.
• W4381930554 cites W3085271102 @default.
• W4381930554 cites W3095164275 @default.
• W4381930554 cites W3095177865 @default.
• W4381930554 cites W3113484880 @default.

• next