Results 91 to 100 of about 8,406 (209)
Abstract Natural regeneration is essential for maintaining functionally diverse and resilient plant communities in human‐modified landscapes. To design and implement successful conservation and restoration initiatives in these landscapes, research on the environmental and anthropogenic drivers of natural regeneration must be scaled up beyond ...
Luc Schmid +2 more
wiley +1 more source
This study innovatively incorporates facility service capacity, dynamic energy consumption constraints and multi‐objective Pareto frontiers into a unified optimization framework by constructing a three‐dimensional coupled decision space, and uses an improved column generation algorithm to break through the bottleneck of mixed integer programming ...
Guiquan Jiang
wiley +1 more source
Lightweight 3D Dense Autoencoder Network for Hyperspectral Remote Sensing Image Classification. [PDF]
Bai Y, Sun X, Ji Y, Fu W, Duan X.
europepmc +1 more source
ABSTRACT Net photosynthetic rate (Pn) serves as a key indicator for evaluating plant growth and yield. In order to explore an effective method for monitoring winter rapeseed Pn using unmanned aerial vehicle (UAV) multispectral technology, the winter rapeseed was taken as the research object and the multispectral images were obtained through UAVs in ...
ChengYang Ni +7 more
wiley +1 more source
Superpixel-Guided Matrix-Valued Kernel Functions for Multiscale Nonlinear Hyperspectral Unmixing
Hyperspectral unmixing is a critical challenge in the analysis of hyperspectral remote sensing data. Due to the complex interactions between incident light and materials, which are significantly influenced by the three-dimensional geometry of the scene ...
Xiu Zhao, Meiping Song
doaj +1 more source
SpectralMAE: Spectral Masked Autoencoder for Hyperspectral Remote Sensing Image Reconstruction. [PDF]
Zhu L, Wu J, Biao W, Liao Y, Gu D.
europepmc +1 more source
A Review of the Role of Sensor in the Vertical Farms: Superiority and Prospects
Sensor networks in vertical farms This study comprehensively reviews the current application status of sensors in vertical agriculture, discovers and deeply analyzes their benefits in enhancing agricultural production efficiency, ensuring the quality of agricultural products, and promoting eco‐friendly practices in vertical farms.
Yixiao Guo +4 more
wiley +1 more source
Non-Destructive Determination of Bayberry Sugar and Acidity by Hyperspectral Remote Sensing of Si-Sensor and Low-Cost Portable Instrument Development. [PDF]
Wang J +6 more
europepmc +1 more source
Abstract Freshwater estuaries are natural contributors to the carbon cycle, including production and emission of methane (CH4), a potent greenhouse gas (GHG); however, estimates of their contribution to global GHG emissions is uncertain. Recent research has identified the potential for quantifying limnetic methane using optical remote sensing coupled ...
Jillian Greene +4 more
wiley +1 more source
Atmospheric correction of vegetation reflectance with simulation-trained deep learning for ground-based hyperspectral remote sensing. [PDF]
Qamar F, Dobler G.
europepmc +1 more source

