Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Tawanda W. Gara"'
Publikováno v:
Remote Sensing, Vol 15, Iss 17, p 4128 (2023)
Integrating multimodal remote sensing data can optimize the mapping accuracy of individual trees. Yet, one issue that is not trivial but generally overlooked in previous studies is the spatial mismatch of individual trees between remote sensing datas
Externí odkaz:
https://doaj.org/article/ecff5b1d216e4eeaa35147dd2c85146e
Publikováno v:
International Journal of Digital Earth, Vol 14, Iss 1, Pp 106-120 (2021)
Assessment of vegetation biochemical and biophysical variables is useful when developing indicators for biodiversity monitoring and climate change studies. Here, we compared a radiative transfer model (RTM) inversion by merit function and five machin
Externí odkaz:
https://doaj.org/article/ea8625b38ff242a1a62942284472f3f7
Publikováno v:
GIScience & Remote Sensing, Vol 56, Iss 4, Pp 554-575 (2019)
In remote sensing applications, leaf traits are often upscaled to canopy level using sunlit leaf samples collected from the upper canopy. The implicit assumption is that the top of canopy foliage material dominates canopy reflectance and the variabil
Externí odkaz:
https://doaj.org/article/7e9ad4e5ffca49f8bc409e73b3bb9cce
Autor:
Rui Xie, Roshanak Darvishzadeh, Andrew K. Skidmore, Marco Heurich, Stefanie Holzwarth, Tawanda W. Gara, Ils Reusen
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 95, Iss , Pp 102242- (2021)
Machine learning algorithms, in particular, kernel-based machine learning methods such as Gaussian processes regression (GPR) have shown to be promising alternatives to traditional empirical methods for retrieving vegetation parameters from remotely
Externí odkaz:
https://doaj.org/article/a37eb84a9e5845209f3d7dab26dbea5f
Autor:
Abebe Mohammed Ali, Roshanak Darvishzadeh, Andrew Skidmore, Tawanda W. Gara, Brian O’Connor, Claudia Roeoesli, Marco Heurich, Marc Paganini
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 87, Iss , Pp 102037- (2020)
The Sentinel-2 Multi-Spectral Imager (MSI) has three spectral bands centered at 705, 740, and 783 nm wavelengths that exploit the red-edge information useful for quantifying plant biochemical traits. This sensor configuration is expected to improve t
Externí odkaz:
https://doaj.org/article/383c9614916541f69f4b5498bb8b565e
Autor:
Fangyuan Yu, Tawanda W. Gara, Juyu Lian, Wanhui Ye, Jian Shen, Tiejun Wang, Zhifeng Wu, Junjie Wang
Publikováno v:
Remote Sensing, Vol 13, Iss 24, p 5057 (2021)
Little attention has been paid to the impact of vertical canopy position on the leaf spectral properties of tall trees, and few studies have explored the ability of leaf spectra to characterize the variation of leaf traits across different canopy pos
Externí odkaz:
https://doaj.org/article/76d1618f70b0439e8f49fbc207371b64
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3352 (2021)
Quantitative remote sensing of leaf traits offers an opportunity to track biodiversity changes from space. Augmenting field measurement of leaf traits with remote sensing provides a pathway for monitoring essential biodiversity variables (EBVs) over
Externí odkaz:
https://doaj.org/article/01fbf59ddaa342989cb76ba68f640c68
Autor:
J. Malin Hoeppner, Andrew K. Skidmore, Roshanak Darvishzadeh, Marco Heurich, Hsing-Chung Chang, Tawanda W. Gara
Publikováno v:
Remote Sensing, Vol 12, Iss 21, p 3573 (2020)
Chlorophyll content, as the primary pigment driving photosynthesis, is directly affected by many natural and anthropogenic disturbances and stressors. Accurate and timely estimation of canopy chlorophyll content (CCC) is essential for effective ecosy
Externí odkaz:
https://doaj.org/article/6d0d2635fa93459eb8efe66c893dd44e
Autor:
Oluwafemi A Alaba, Sofiane Bechami, Yu-Ying Chen, Tawanda W Gara, Brian Perkins, Yong-Jiang Zhang
Publikováno v:
Climate Change Ecology, Vol 8, Iss , Pp 100088- (2024)
Anthropogenic climate change may affect the nutritional quality of perennial crops. Wild blueberry is a perennial crop of cultural and economic importance and known for its health-promoting properties. Wild blueberry fields in Maine, USA are experien
Externí odkaz:
https://doaj.org/article/06a708df12d642bf99d1954b641d3e74
Publikováno v:
Remote Sensing, Vol 10, Iss 2, p 346 (2018)
Understanding the vertical pattern of leaf traits across plant canopies provide critical information on plant physiology, ecosystem functioning and structure and vegetation response to climate change. However, the impact of vertical canopy position o
Externí odkaz:
https://doaj.org/article/0e1daa8a84f048c5b9a0234ad087b625