Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Hafiz Ali Imran"'
Autor:
Hafiz Ali Imran, Karolina Sakowska, Damiano Gianelle, Duccio Rocchini, Michele Dalponte, Michele Scotton, Loris Vescovo
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 10, Iss 3, Pp 328-342 (2024)
Abstract As the need for ecosystem biodiversity assessment increases within the climate crisis framework, more and more studies using spectral variation hypothesis (SVH) are proposed to assess biodiversity at various scales. The SVH implies optical d
Externí odkaz:
https://doaj.org/article/3b91dca85d474322b820b0ba9985f87d
Autor:
Hafiz Ali Imran, Abdallah Zeggada, Ivan Ianniello, Farid Melgani, Annalisa Polverari, Alice Baroni, Davide Danzi, Rino Goller
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2388 (2023)
This study was conducted to evaluate the potential of low-cost hyperspectral sensors for the early detection of Flavescence dorée (FD) from asymptomatic samples prior to symptom development. In total, 180 leaf spectra from 60 randomly selected plant
Externí odkaz:
https://doaj.org/article/90997092ff0d4b7989dc4b026c954548
Autor:
Hafiz Ali Imran, Damiano Gianelle, Michele Scotton, Duccio Rocchini, Michele Dalponte, Stefano Macolino, Karolina Sakowska, Cristina Pornaro, Loris Vescovo
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2649 (2021)
Plant biodiversity is an important feature of grassland ecosystems, as it is related to the provision of many ecosystem services crucial for the human economy and well-being. Given the importance of grasslands, research has been carried out in recent
Externí odkaz:
https://doaj.org/article/c9de3f1b85574953bfada59102a71163
Publikováno v:
Remote Sensing, Vol 13, Iss 13, p 2436 (2021)
Armillaria genus represents one of the most common causes of chronic root rot disease in woody plants. Prompt recognition of diseased plants is crucial to control the pathogen. However, the current disease detection methods are limited at a field sca
Externí odkaz:
https://doaj.org/article/be68020273bf4f53baeeb2546adf58df
Autor:
Hafiz Ali Imran, Damiano Gianelle, Duccio Rocchini, Michele Dalponte, M. Pilar Martín, Karolina Sakowska, Georg Wohlfahrt, Loris Vescovo
Publikováno v:
Remote Sensing, Vol 12, Iss 14, p 2254 (2020)
Red-edge (RE) spectral vegetation indices (SVIs)—combining bands on the sharp change region between near infrared (NIR) and visible (VIS) bands—alongside with SVIs solely based on NIR-shoulder bands (wavelengths 750–900 nm) have been shown to p
Externí odkaz:
https://doaj.org/article/08b8016748314a4e8cac3cbb4bd05d56
Autor:
Cristina Pornaro, Loris Vescovo, Duccio Rocchini, Karolina Sakowska, Michele Dalponte, Damiano Gianelle, M. Scotton, Stefano Macolino, Hafiz Ali Imran
Publikováno v:
Remote Sensing; Volume 13; Issue 14; Pages: 2649
Remote Sensing
Remote Sensing, Vol 13, Iss 2649, p 2649 (2021)
Remote Sensing
Remote Sensing, Vol 13, Iss 2649, p 2649 (2021)
Plant biodiversity is an important feature of grassland ecosystems, as it is related to the provision of many ecosystem services crucial for the human economy and well-being. Given the importance of grasslands, research has been carried out in recent
Publikováno v:
Remote Sensing; Volume 13; Issue 13; Pages: 2436
Remote Sensing, Vol 13, Iss 2436, p 2436 (2021)
Remote Sensing, Vol 13, Iss 2436, p 2436 (2021)
The Armillaria genus represents one of the most common causes of chronic root rot disease in woody plants. The disease damage prompt assessment is crucial for pest management. However, the disease detection current methods are limited at the field sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::204eab05ac678a8c81c1f10693766253
Publikováno v:
Geocarto International. 32:59-70
Over the past decade, political framework in the energy sector all over the world has provoked a strong focus on the production of renewable energies. The study focuses on agent-based modelling approach to identify the suitable and economical distrib
An improved scheme for the detection of Mediterranean frontal activities is proposed, based on the identification of cloud pattern, thermal gradient and water content of air masses using Meteosat-7 satellite imagery. Owing to highly variable nature o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c47f58818c349a0ad0a3af779eea3c0
https://www.nat-hazards-earth-syst-sci-discuss.net/nhess-2015-290/
https://www.nat-hazards-earth-syst-sci-discuss.net/nhess-2015-290/
Publikováno v:
International Journal of Hydrology Science and Technology. 8:16
Approach for the detection of frontal activities with satellite imagery is proposed, based on the identification of cloud pattern, thermal gradient and water content of air masses using Meteosat-7 satellite imagery. Owing to highly variable nature of