Plants | Free Full-Text | Combining Hyperspectral Reflectance Indices and Multivariate Analysis to Estimate Different Units of Chlorophyll Content of Spring Wheat under Salinity Conditions | HTML
Sarah Vogelmann - Mitarbeiterin Customer Service - Puckdaddy GmbH | XING
Taxonomy and remote sensing of leaf mass per area (LMA) in humid tropical forests - Asner - 2011 - Ecological Applications - Wiley Online Library
Plants | Free Full-Text | Assessment of the Hyperspectral Data Analysis as a Tool to Diagnose Xylella fastidiosa in the Asymptomatic Leaves of Olive Plants | HTML
G. Schmuck's research works | Kepler Space Institute, Bluffton and other places
G. Schmuck's research works | Kepler Space Institute, Bluffton and other places
Gratitude Report 2014 by Augustana University - Issuu
Pigment Analysis and Spectral Assessment of Spruce Trees Undergoing Forest Decline in the NE United States and Germany
Remote Sensing | Free Full-Text | Maize Canopy and Leaf Chlorophyll Content Assessment from Leaf Spectral Reflectance: Estimation and Uncertainty Analysis across Growth Stages and Vertical Distribution | HTML
Agronomy | Free Full-Text | Selection of Hyperspectral Vegetation Indices for Monitoring Yield and Physiological Response in Sweet Maize under Different Water and Nitrogen Availability | HTML
Carbon Fixation Gradients across Spinach Leaves Do Not Follow Internal Light Gradients
The Use of Remote Sensing for the Study of Air Pollution Effects in Forrests | Biologic Markers of Air-Pollution Stress and Damage in Forests |The National Academies Press
Theoretical algorithm and application of a double-integrating sphere system for measuring leaf transmittance and reflectance spectra
Distanzring A-101/A-141 Vogelmann (Packung mit 10)
Using imaging spectroscopy to detect variation in terrestrial ecosystem productivity across a water‐stressed landscape - DuBois - 2018 - Ecological Applications - Wiley Online Library
35S-Methionine Incorporates Differentially into Polypeptides across Leaves of Spinach {Spinacia oleracea)1
Remote Sensing | Free Full-Text | Evaluating Empirical Regression, Machine Learning, and Radiative Transfer Modelling for Estimating Vegetation Chlorophyll Content Using Bi-Seasonal Hyperspectral Images | HTML