Results 131 to 140 of about 3,522,681 (315)
Hyperspectral reflectance and machine learning to monitor legume biomass and nitrogen accumulation
Computers and Electronics in Agriculture, 2023 K. C. Flynn +4 more
semanticscholar +1 more source
Development of techniques to classify marine benthic habitats using hyperspectral imagery in oligotrophic, temperate waters [PDF]
, 2009 There is an increasing need for more detailed knowledge about the spatial distribution and structure of shallow water benthic habitats for marine conservation and planning.
Harvey, Matthew
core
Bathymetry mapping and sea floor classification using multispectral satellite data and standardized physics-based data processing [PDF]
, 2011 Multispectral satellite data (WordView-2, IKONOS, QuickBird) are used to map bathymetry and spectral sea floor classes in a range of coastal areas.
Ohlendorf, S. +9 more
core +1 more source
Investigating Pompeii Subsoil Using Geomatics and Geophysics Merged Analyses
Archaeological Prospection, EarlyView.ABSTRACT The archaeological site of Pompeii represents an exceptional context for the application of non‐invasive and integrated investigation methods aimed at enhancing the understanding of both exposed and buried remains. This study presents the results of multidisciplinary research conducted in the Palestra Grande site, a large and strategically ...
Valentina Santoro +9 more
wiley +1 more source
Quality criteria benchmark for hyperspectral imagery [PDF]
, 2005 Hyperspectral data appear to be of a growing interest over the past few years. However, applications for hyperspectral data are still in their infancy as handling the significant size of the data presents a challenge for the user community.
Christophe, Emmanuel +2 more
core +1 more source
Tackling cancer stemness with nanotechnology in the era of precision medicine
BMEMat, EarlyView.Precise customization of nanoparticles (NPs) enables active targeting of cancer stem cells (CSCs), thereby improving drug delivery and therapeutic efficacy. NP‐based probing enhances CSC detection through imaging and liquid biopsy, whereas diverse therapeutic payloads improve therapeutic outcomes.
Shaolei Guo +9 more
wiley +1 more source
Remote SensingGlobally, rice is one of the most important staple food crops. The most significant metric for evaluating the rice growth and productivity is the Leaf Area Index (LAI), which can be effectively monitored using remote sensing data.
Mathyam Prabhakar +8 more
doaj +1 more source
Sensors, 2018 Drone-based remote sensing has evolved rapidly in recent years. Miniaturized hyperspectral imaging sensors are becoming more common as they provide more abundant information of the object compared to traditional cameras.
Teemu Hakala +10 more
doaj +1 more source
Systemic Diseases and the Eye: A Translational Perspective on Diabetes
Chronic Diseases and Translational Medicine, EarlyView.The eye–brain–cardiometabolic axis in diabetes: retinal biomarkers as indicators of systemic disease. ABSTRACT Diabetes mellitus is a global chronic disease that affects the whole body and not just glucose metabolism. In diabetes, non‐invasive ocular changes can help understand microvascular, neurodegenerative, and inflammatory processes. This analysis
Matteo Capobianco +6 more
wiley +1 more source
Predicting dark respiration rates of wheat leaves from hyperspectral reflectance.
Plant, Cell and Environment, 2019 Greater availability of leaf dark respiration (Rdark ) data could facilitate breeding efforts to raise crop yield and improve global carbon cycle modelling.
O. Coast +15 more
semanticscholar +1 more source