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A machine learning algorithm to detect pine wilt disease using UAV-based hyperspectral imagery and LiDAR data at the tree level Pine wilt disease (PWD) is caused by the pine wood nematode (PWN, Bursaphelenchus xylophilus) and is spread through the insect vector pine sawyer beetle (Monochamus spp.). It is a global destructive threat to forests, having caused extreme damage in China. Currently, PWD management countermeasures are mostly based on the control of dead trees after the onset of an outbreak by fumigation, burning, and tree-felling operations. Therefore, the development of a more effective method to monitor and control the spread of PWD is imperative. Remote sensing is considered a potential approach to detect forest pest and diseases. However, certain limitations exist in the ...
release time: 2021 - 08 - 10
Views:36
A machine learning algorithm to detect pine wilt disease using UAV-based hyperspectral imagery and LiDAR data at the tree level Pine wilt disease (PWD) is caused by the pine wood nematode (PWN, Bursaphelenchus xylophilus) and is spread through the insect vector pine sawyer beetle (Monochamus spp.). It is a global destructive threat to forests, having caused extreme damage in China. Currently, PWD management countermeasures are mostly based on the control of dead trees after the onset of an outbreak by fumigation, burning, and tree-felling operations. Therefore, the development of a more e...
release time: 2021 - 08 - 10
Views:36
Chenghai Lake BasinShrinkage of plateau lakes under climate strength has drawn growing attention. Because of its intricate implication to hydro-meteorological condition and climate system, stable isotopes in precipitation (e.g. δ2Hp and δ18Op) provide us a powerful tool to understand the climate-hydrologic dynamics in shrinking lakes. Most studies, however, focused on either the impact of large-scale atmosphere circulation and moisture sources or the local isotopic fractionation processes. So far, limited study has yet been carried out on the combined effect of both the regional atmospheric ci...
release time: 2021 - 08 - 10
Views:13
Application of Resonon Pika L on quantifying leaf-scale chlorophyll, nitrogen and chlorophyll fluorescence parameters in grapevineRapidly and accurately monitoring the physiological and biochemical parameters of grape leaves is the key to controlling the quality of wine grapes. Traditional methods for determining the physiological and biochemical parameters of crops require the collection of a large number of samples, which is time-consuming, labour-intensive and costly. As it is non-destructive and highly efficient, remote sensing-based spectral detection can overcome the limitations of other...
release time: 2021 - 08 - 02
Views:10
Application of ABB LGR CCIA on tracking the spatio-temporal fate of 13C-labelled assimilates in the soil of an old-growth pine forestWater is essential for all organisms and thus, the increasing intensity and frequency of drought in large areas of the Northern hemisphere is impacting the diversity and functioning of forest ecosystems. Impacts of drought on ecosystems range from immediate reductions of the metabolic activity of plants and soil organisms and the acclimation of physiological processes to species shifts under prolonged or reoccurring drought. The interrelation of different ecosyst...
release time: 2021 - 08 - 02
Views:13
Quantitative identification of yellow rust in winter wheat with a new spectral index: Development and validation using simulated and experimental dataYellow rust, caused by Puccinia striiformis f. sp. Tritici, is a serious disease attacking wheat (Triticum aestivum L.) across the globe. The occurrence of yellow rust can result in severe yield reduction and economic loss. Hyperspectral remote sensing has demonstrated potential in detecting yellow rust, with the majority of studies distinguishing qualitatively between diseased and healthy individuals or performing simple grading of disease sever...
release time: 2021 - 08 - 02
Views:11
ASD | Soil salinity inversion based on differentiated fusion of satellite image and ground spectraSoil salinization is an important limiting factor in agricultural development, ecological security, and sustainable land use. Accurately and rapidly obtaining information related to regional soil salinization and its geographical distribution is a precondition for the rational control and utilization of salinized soil. The traditional method of soil salinity mapping is time consuming and laborious. Ground-based methods, such as those based on electromagnetic induction meters, may not meet the temp...
release time: 2021 - 06 - 02
Views:27
D. E. Pataki1 J. R. Ehleringer1 L. B. Flanagan2 D. Yakir3 D. R. Bowling1 C. J. Still4,51 Department of Biology, University of Utah 2 Department of Life Sciences, University of Lethbridge 3 Weizmann Institute 4 University of California Berkeley Atmosphere Center 5 Department of Geography, University of California GLOBAL BIOGEOCHEMICAL CYCLES, VOL. 17, NO. 1, 1022, doi:10.1029/2001GB001850, 2003 Abstract: The effects of photosynthesis and respiration on the atmosphere can be used to study global carbon sink/source estimates and to distinguish ecosystem fluxes. Therefore, Keeling plot&#...
release time: 2018 - 04 - 24
Views:31
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