Zobrazeno 1 - 10
of 13 494
pro vyhledávání: '"Sentinel-2"'
Publikováno v:
Geo-spatial Information Science, Pp 1-15 (2024)
Accurate and efficient ship detection is crucial for ocean monitoring and management, especially in reefs and deep-sea, where fishing and illegal activities threaten sustainability of ecosystems. Obtaining the size of ships in reefs and deep-sea help
Externí odkaz:
https://doaj.org/article/8479101b8bfd40df922f80785ea7c699
Autor:
AFM Tariqul Islam, A. K. M. Saiful Islam, G. M. Tarekul Islam, Sujit Kumar Bala, Mashfiqus Salehin, Apurba Kanti Choudhury, M. Golam Mahboob, Nepal C. Dey, Akbar Hossain
Publikováno v:
Discover Agriculture, Vol 2, Iss 1, Pp 1-17 (2024)
Abstract Crop statistics are crucial for developing a demand-based export and import strategy to ensure a country’s sustainable food security. Remote sensing efficiently generates essential crop statistics, while ground-based supplementary sensor d
Externí odkaz:
https://doaj.org/article/ac3b29950c5c41e8a7f7a024037a68a2
Publikováno v:
Geology, Ecology, and Landscapes, Pp 1-10 (2024)
This study evaluated the feasibility of using free multispectral remote sensing data from Sentinel-2A satellites to predict soil properties in Northern Karnataka, India. Sentinel-2A images were downloaded for selected sites, covering Vertisol, Ultiso
Externí odkaz:
https://doaj.org/article/f647667051c54d46b732f54d32c53cc8
Autor:
Ruiqi Du, Junying Chen, Youzhen Xiang, Ru Xiang, Xizhen Yang, Tianyang Wang, Yujie He, Yuxiao Wu, Haoyuan Yin, Zhitao Zhang, Yinwen Chen
Publikováno v:
International Soil and Water Conservation Research, Vol 12, Iss 3, Pp 726-740 (2024)
Soil salinization and water scarcity are main restrictive factors for irrigated agriculture development in arid regions. Knowing dynamics of soil water and salt content is an important antecedent in remediating salinized soils and optimizing irrigati
Externí odkaz:
https://doaj.org/article/9bff0c8c29a44b95ad0f4ade18d291f1
Autor:
Yiwei Zhang, Jia Du
Publikováno v:
International Soil and Water Conservation Research, Vol 12, Iss 3, Pp 578-588 (2024)
Conservation tillage is an important conservation measure for arable land in modern agricultural production, which plays an essential role in protecting black soil and improving the quality of arable land. The estimation of maize residue cover (MRC)
Externí odkaz:
https://doaj.org/article/317fe8d4d09a41a8860d16b584a91949
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 3, Pp 479-490 (2024)
In this paper, bathymetry retrieval is combined with the Depth Invariant Index (DII) substrate cluster to acquire more accurate water depth. DIIs are calculated through the selected samples that are in bright and dark pixels firstly. Then, substrates
Externí odkaz:
https://doaj.org/article/a349b8d744ed48a3b029b5e353a918a9
Publikováno v:
Central European Forestry Journal, Vol 70, Iss 3, Pp 156-175 (2024)
An extensive discoloration (yellowing, browning), and defoliation (leaf loss) were observed in Slovak forests during the summer of 2022. These phenomena are attributed to the combination of very low atmospheric precipitation and extremely high air te
Externí odkaz:
https://doaj.org/article/88efb7add624468ea9a9032ba0d1b98f
Publikováno v:
Applied Water Science, Vol 14, Iss 9, Pp 1-9 (2024)
Abstract Vegetation density extraction is influenced by the characteristics of satellite images, vegetation type, classification algorithm, and region, but there is little information about multispectral imaging (MSI). Studying the compatibility of t
Externí odkaz:
https://doaj.org/article/2b0cc7b7421f4d589fad4661b8de305d
Autor:
Dias Eramudadi, Catur Aries Rokhmana
Publikováno v:
Journal of Geospatial Information Science and Engineering, Vol 7, Iss 1, Pp 71-80 (2024)
Informasi yang akurat dan termutakhir mengenai data spasial permukiman skala menengah dibutuhkan berbagai bidang seperti agenda pembangunan berkelanjutan, perubahan iklim dan pengurangan risiko bencana. Namun, ekstraksi informasi spasial untuk permuk
Externí odkaz:
https://doaj.org/article/5a5e3bbb13af4b438fba3172e00f80a8