Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Salem Ibrahim, Salem"'
Publikováno v:
Ecological Informatics, Vol 84, Iss , Pp 102883- (2024)
Audio recordings have emerged as a pivotal tool in field observations, enriching environmental monitoring in both the spatial and temporal dimensions. However, the richness and complexity of these recordings pose significant challenges, primarily whe
Externí odkaz:
https://doaj.org/article/f30db0f813d4486ba0e73d6588a3feb8
Autor:
Hiroto Higa, Masataka Muto, Salem Ibrahim Salem, Hiroshi Kobayashi, Joji Ishizaka, Kazunori Ogata, Mitsuhiro Toratani, Kuniaki Takahashi, Fabrice Maupin, Stephane Victori
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3626 (2024)
This study identifies the characteristics of water regions with negative normalized water-leaving radiance (nLw(λ)) values in the satellite observations of the Second-generation Global Imager (SGLI) sensor aboard the Global Change Observation Missio
Externí odkaz:
https://doaj.org/article/c26bd1aeb1f84581b1b71bff84a0945c
Autor:
Mykhailo Lohachov, Ryoji Korei, Kazuo Oki, Koshi Yoshida, Issaku Azechi, Salem Ibrahim Salem, Nobuyuki Utsumi
Publikováno v:
Agronomy, Vol 14, Iss 2, p 361 (2024)
This article investigates approaches for broccoli harvest time prediction through the application of various machine learning models. This study’s experiment is conducted on a commercial farm in Ecuador, and it integrates in situ weather and brocco
Externí odkaz:
https://doaj.org/article/95ab5bd100f14828ae82c42b7e528a43
Publikováno v:
Sensors, Vol 21, Iss 3, p 866 (2021)
Monitoring wild ungulates such as deer is a highly challenging issue faced by wildlife managers. Wild ungulates are increasing in number worldwide, causing damage to ecosystems. For effective management, the precise estimation of their population siz
Externí odkaz:
https://doaj.org/article/2cd7d1b9546948f28842432277471f81
Development of methods for estimating deer population size with ground and remote sensing techniques
Publikováno v:
低温科学. 80:477-482
本研究は,マイクロフォン地上センサとドローンリモートセンシングによるニホンジカ個体数推定手法の開発をおこない,それらの精度を比較検討し,最終的に人のアプローチによる調
Autor:
Salem Ibrahim Salem, Marie Hayashi Strand, Hiroto Higa, Hyungjun Kim, Komatsu Kazuhiro, Kazuo Oki, Taikan Oki
Publikováno v:
Remote Sensing, Vol 9, Iss 10, p 1022 (2017)
Abstract: The chlorophyll-a (Chla) products of seven processors developed for the Medium Resolution Imaging Spectrometer (MERIS) sensor were evaluated. The seven processors, based on a neural network and band height, were assessed over an optically c
Externí odkaz:
https://doaj.org/article/32407d1158954a5385f1998b38d0c90d
Publikováno v:
Sensors, Vol 17, Iss 8, p 1746 (2017)
Numerous algorithms have been proposed to retrieve chlorophyll-a concentrations in Case 2 waters; however, the retrieval accuracy is far from satisfactory. In this research, seven algorithms are assessed with different band combinations of multispect
Externí odkaz:
https://doaj.org/article/8c2e20db786e4ccc9c82b74f46d3e9c8
Autor:
Salem Ibrahim Salem, Hiroto Higa, Hyungjun Kim, Komatsu Kazuhiro, Hiroshi Kobayashi, Kazuo Oki, Taikan Oki
Publikováno v:
Remote Sensing, Vol 9, Iss 6, p 556 (2017)
Many approaches have been proposed for monitoring the eutrophication of Case 2 waters using remote sensing data. Semi-analytical algorithms and spectrum matching are two major approaches for chlorophyll-a (Chla) retrieval. Semi-analytical algorithms
Externí odkaz:
https://doaj.org/article/42aa3ff13a204ed299542a2d5a845d3f
Publikováno v:
Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering). 77:I_391-I_396
Publikováno v:
Estuarine, Coastal and Shelf Science. 235:106615
Blue tide, which occurs in eutrophic semi-enclosed bays, is recognized as an important environmental problem because it causes mass mortality of fish and shellfish. In Tokyo Bay, which is a typical eutrophic semi-enclosed bay in Japan, fishery damage