Zobrazeno 1 - 10
of 145
pro vyhledávání: '"red-edge band"'
Autor:
Jiahui Chen, Hanqiu Xu
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5621-5636 (2024)
The red-edge band is closely related to biochemical parameters that characterize the growth condition of green plants and is an important factor in monitoring vegetation health. Therefore, red-edge indices based on the red-edge band have been develop
Externí odkaz:
https://doaj.org/article/7fc6eb6fc773461598a857fb268bf5b9
Publikováno v:
Agricultural Water Management, Vol 303, Iss , Pp 109045- (2024)
Soil water content (SWC) is an essential index that reflects water conditions in the soil surface during drought, and changes in SWC are critical in guiding agricultural irrigation management. Remote sensing is a crucial means of monitoring SWC, and
Externí odkaz:
https://doaj.org/article/c4ea3c4d43584fe3a531e53248e36cfe
Publikováno v:
Forests, Vol 15, Iss 3, p 529 (2024)
Accurate classification of forest stand is crucial for protection and management needs. However, forest stand classification remains a great challenge because of the high spectral and textural similarity of different tree species. Although existing s
Externí odkaz:
https://doaj.org/article/25cd7db0461b4130b9ffbbdfd507ea10
Publikováno v:
Sensors, Vol 23, Iss 18, p 7895 (2023)
Eucommia ulmoides Oliver. (E. ulmoides) is a species of small tree native to China. It is a valuable medicinal herb that can be used to treat Alzheimer’s disease, diabetes, hypertension, and other diseases. In addition, E. ulmoides is a source of r
Externí odkaz:
https://doaj.org/article/1f8f78a0b012469e9e1d77e41fd0eb78
Autor:
Zhao Lu, Daqing Wang, Zhengdong Deng, Yue Shi, Zhibin Ding, Hao Ning, Hongfei Zhao, Jiazheng Zhao, Haoli Xu, Xiaoning Zhao
Publikováno v:
Hydrology Research, Vol 52, Iss 6, Pp 1526-1541 (2021)
This paper mainly researches the application method of red edge band in water body remote sensing extraction. Gaofen-6 (GF-6) WFV data were chosen for the high spatial resolution, more bands, and wide width. Two new methods were proposed: the single-
Externí odkaz:
https://doaj.org/article/53b2832bf5ad4d04a3b0ee9f5a250dcf
Akademický článek
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Publikováno v:
Big Earth Data, Vol 0, Iss 0, Pp 1-23 (2021)
Leaf area index (LAI) and canopy chlorophyll density (CCD) are key indicators of crop growth status. In this study, we compared several vegetation indices and their red-edge modified counterparts to evaluate the optimal red-edge bands and the best ve
Externí odkaz:
https://doaj.org/article/de19264ecd4e4289a62181af0640421f
Autor:
Clement E. Akumu, Sam Dennis
Publikováno v:
Drones, Vol 7, Iss 4, p 277 (2023)
The detection and mapping of winter wheat and the canopy cover of associated weeds, such as chickweed and hairy buttercup, are essential for crop and weed management. With emerging drone technologies, the use of a multispectral camera with the red-ed
Externí odkaz:
https://doaj.org/article/5825123efde941ecae7632bc42d7523b
Autor:
Deng Zhengdong, Lu Zhao, Wang Guangyuan, Wang Daqing, Ding Zhibin, Zhao Hongfei, Xu Haoli, Shi Yue, Cheng Zijian, Zhao Xiaoning
Publikováno v:
Open Geosciences, Vol 13, Iss 1, Pp 416-430 (2021)
The red edge band is considered as one of the diagnosable characteristics of green plants, but the large-scale remote sensing retrieval of fractional vegetation coverage (FVC) based on the red edge band is still rare. To explore the application of th
Externí odkaz:
https://doaj.org/article/39bc0a26fdc7494581fc5501477c3b73
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 341-350 (2020)
Accurate and efficient identification of the urban vegetation abundance is of great importance for urban planning and management. A lot of efforts have been made to estimate the urban fractional vegetation cover (FVC) using multispectral images by th
Externí odkaz:
https://doaj.org/article/adcc86d17f3040799927d02e76a3d7ce