Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Spectral mixture analysis (SMA)"'
Publikováno v:
Geo-spatial Information Science, Vol 25, Iss 4, Pp 550-567 (2022)
ABSTRACTImpervious surface mapping is essential for urban environmental studies. Spectral Mixture Analysis (SMA) and its extensions are widely employed in impervious surface estimation from medium-resolution images. For SMA, inappropriate endmember c
Externí odkaz:
https://doaj.org/article/a49a4905d24b4f64bbce144cf73c09eb
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 6766-6776 (2021)
Hyperspectral spectral mixture analysis (SMA), which intends to decompose mixed pixels into a collection of endmembers weighted by their corresponding fraction abundances, has been successfully used to tackle mixed-pixel problem in hyperspectral remo
Externí odkaz:
https://doaj.org/article/aec9f99755d7431b9c3ce2c8030aed58
Autor:
Daniel Sousa, Christopher Small
Publikováno v:
Remote Sensing, Vol 15, Iss 4, p 971 (2023)
The monitoring of agronomic parameters like biomass, water stress, and plant health can benefit from synergistic use of all available remotely sensed information. Multispectral imagery has been used for this purpose for decades, largely with vegetati
Externí odkaz:
https://doaj.org/article/e3fe4b451bad442c9021680adecf2506
Autor:
María Pilar Martín, Bernarda Ponce, Pilar Echavarría, José Dorado, Cesar Fernández-Quintanilla
Publikováno v:
Agronomy, Vol 13, Iss 2, p 528 (2023)
Accurate information on the spatial distribution of weeds is the key to effective site-specific weed management and the efficient and sustainable use of weed control measures. This work focuses on the early detection of johnsongrass, common cocklebur
Externí odkaz:
https://doaj.org/article/1acca80da60847a7b9b7a13e64bee9de
Autor:
Katarzyna Ewa Lewińska, Johanna Buchner, Benjamin Bleyhl, Patrick Hostert, He Yin, Tobias Kuemmerle, Volker C. Radeloff
Publikováno v:
Science of Remote Sensing, Vol 4, Iss , Pp 100035- (2021)
Grasslands are important for global biodiversity, food security, and climate change analyses, which makes mapping and monitoring of vegetation changes in grasslands necessary to better understand, sustainably manage, and protect these ecosystems. How
Externí odkaz:
https://doaj.org/article/2d193dccf5434ba5bb1f33abac9ab5be
Akademický článek
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Akademický článek
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Publikováno v:
Frontiers in Plant Science, Vol 10 (2019)
The accurate assessment of rice yield is crucially important for China’s food security and sustainable development. Remote sensing (RS), as an emerging technology, is expected to be useful for rice yield estimation especially at regional scales. Wi
Externí odkaz:
https://doaj.org/article/368b7b3c365442698fe7cc2b42c3f3e6
Autor:
Ningge Yuan, Yan Gong, Shenghui Fang, Yating Liu, Bo Duan, Kaili Yang, Xianting Wu, Renshan Zhu
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2190 (2021)
The accurate estimation of rice yield using remote sensing (RS) technology is crucially important for agricultural decision-making. The rice yield estimation model based on the vegetation index (VI) is commonly used when working with RS methods, howe
Externí odkaz:
https://doaj.org/article/6cc78def0a74496b88fe6503ef7f0c0b
Akademický článek
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