Abstract The 2017–2027 National Academies' Decadal Survey, Thriving on Our Changing Planet, recommended Surface Biology and Geology (SBG) as a “Designated Targeted …
Remote sensing can transform the speed, scale, and cost of biodiversity and forestry surveys. Data acquisition currently outpaces the ability to identify individual organisms in …
Partial least squares regression (PLSR) modelling is a statistical technique for correlating datasets, and involves the fitting of a linear regression between two matrices. One …
L Wan, W Zhou, Y He, TC Wanger, H Cen - Remote Sensing of …, 2022 - Elsevier
Accurate estimation of leaf nitrogen concentration (LNC) is critical to characterize ecosystem and plant physiological processes for example in carbon fixation. Remote sensing can …
Z Sun, X Wang, Z Wang, L Yang, Y Xie… - Journal of Plant …, 2021 - academic.oup.com
Abstract Aims Unmanned aerial vehicles (UAVs), ie drones, have recently emerged as cost- effective and flexible tools for acquiring remote sensing data with fine spatial and temporal …
Plant pathology has developed a wide range of concepts and tools for improving plant disease management, including models for understanding and responding to new risks from …
Imaging spectroscopy provides the opportunity to monitor nutrient status of vegetation. In crops, prior studies have generally been limited in scope, either to a small wavelength range …
Large-scale information on several vegetation properties ('plant traits') is critical to assess ecosystem functioning, functional diversity and their role in the Earth system. Hyperspectral …
As an essential feature of plant autotrophy, Nitrogen (N) is the major nutrient affecting plant growth in terrestrial ecosystems, thus is of not only fundamental scientific interest, but also a …