Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Luca Demarchi"'
Autor:
Anderson Rodrigo da Silva, Luca Demarchi, Daria Sikorska, Piotr Sikorski, Piotr Archiciński, Jacek Jóźwiak, Jarosław Chormański
Publikováno v:
Ecological Indicators, Vol 142, Iss , Pp 109160- (2022)
The seasonal occurrence of plant communities in rivers’ reaches has a direct impact on the flow resistance and sediment dynamics. Monitoring the occurrence of plant communities and their habitats can be of great importance to understand bio-geomorp
Externí odkaz:
https://doaj.org/article/db11da68443348b5b8ae8b98b03e46a0
Publikováno v:
Remote Sensing, Vol 15, Iss 7, p 1949 (2023)
Imaging and measuring the Earth’s relief with sensors mounted upon unmanned aerial vehicles is an increasingly frequently used and promising method of remote sensing. In the context of fluvial geomorphology and its applications, e.g., landform mapp
Externí odkaz:
https://doaj.org/article/321af10f1f3040cbbb0dc03c383dad3b
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 17 (2022)
Riparian forests are complex ecosystems shaped by their connectivity to a river system, which produces a mosaic of ages and species. Because of increasing anthropic pressure from factors such as damming or climate change, they are often endangered an
Externí odkaz:
https://doaj.org/article/eb4db46334b64e13bc7ac9124f63e836
Autor:
Luca Demarchi, Adam Kania, Wojciech Ciężkowski, Hubert Piórkowski, Zuzanna Oświecimska-Piasko, Jarosław Chormański
Publikováno v:
Remote Sensing, Vol 12, Iss 11, p 1842 (2020)
The use of hyperspectral (HS) and LiDAR acquisitions has a great potential to enhance mapping and monitoring practices of endangered grasslands habitats, beyond conventional botanical field surveys. In this study we assess the potentiality of recursi
Externí odkaz:
https://doaj.org/article/e34bd71ebdc74b63b0fa4755cdc7bba5
Publikováno v:
Remote Sensing, Vol 12, Iss 7, p 1222 (2020)
Recent developments in the fields of geographical object-based image analysis (GEOBIA) and ensemble learning (EL) have led the way to the development of automated processing frameworks suitable to tackle large-scale problems. Mapping riverscape units
Externí odkaz:
https://doaj.org/article/6f2d14470c4f42e79721932e41b7eaf9
Publikováno v:
Remote Sensing, Vol 8, Iss 2, p 97 (2016)
In this paper, we present a new, semi-automated methodology for mapping hydromorphological indicators of rivers at a regional scale using multisource remote sensing (RS) data. This novel approach is based on the integration of spectral and topographi
Externí odkaz:
https://doaj.org/article/81193ce6bf98431490709ff6ae58f6ee
Publikováno v:
Remote Sensing
Remote Sensing, 2023, 15 (1), pp.17. ⟨10.3390/rs15010017⟩
Remote Sensing; Volume 15; Issue 1; Pages: 17
Remote Sensing, 2023, 15 (1), pp.17. ⟨10.3390/rs15010017⟩
Remote Sensing; Volume 15; Issue 1; Pages: 17
International audience; Riparian forests are complex ecosystems shaped by their connectivity to a river system, which produces a mosaic of ages and species. Because of increasing anthropic pressure from factors such as damming or climate change, they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28f33c50918c8bb67182a73499910553
https://hal.science/hal-03928654
https://hal.science/hal-03928654
Autor:
Zuzanna Oświecimska-Piasko, Hubert Piórkowski, Wojciech Ciężkowski, Adam Kania, Luca Demarchi, Jarosław Chormański
Publikováno v:
Remote Sensing, Vol 12, Iss 1842, p 1842 (2020)
Remote Sensing; Volume 12; Issue 11; Pages: 1842
Remote Sensing; Volume 12; Issue 11; Pages: 1842
The use of hyperspectral (HS) and LiDAR acquisitions has a great potential to enhance mapping and monitoring practices of endangered grasslands habitats, beyond conventional botanical field surveys. In this study we assess the potentiality of recursi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48cda6a36046fc179d34d44447068ee4
https://www.mdpi.com/2072-4292/12/11/1842
https://www.mdpi.com/2072-4292/12/11/1842
Autor:
Wojciech Ciężkowski, Adam Kania, Hubert Piórkowski, Zuzanna Oświecimska-Piasko, Luca Demarchi, Jarosław Chormański
The use of Hyperspectral (HS) and LiDAR acquisitions has a great potential to enhance mapping and monitoring practices of endangered grasslands habitats, beyond conventional botanical field surveys. In this study we assess the potentiality of Recursi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbef0339ca909fc1940ab7068c90441d
Publikováno v:
Earth Surface Processes and Landforms. 42:531-551
Recent developments in remote sensing (RS) technologies lead the way in characterizing river morphology at regional scales and inferring potential channel responses to human pressures. In this paper, a unique regional database of continuous hydromorp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e00f4ba2fc6228e6e956714595ad0b0
https://doi.org/10.1002/esp.4092
https://doi.org/10.1002/esp.4092