Results 31 to 40 of about 406,860 (186)

Hyperspectral Vegetation Indices to Assess Water and Nitrogen Status of Sweet Maize Crop

open access: yesAgronomy, 2022
The deployment of novel technologies in the field of precision farming has risen to the top of global agendas in response to the impact of climate change and the possible shortage of resources such as water and fertilizers. The present research addresses
Milica Colovic   +6 more
doaj   +1 more source

Predicting Rice Grain Yield Based on Dynamic Changes in Vegetation Indexes during Early to Mid-Growth Stages

open access: yesRemote Sensing, 2019
Predicting the grain yield during early to mid-growth stages is important for initial diagnosis of rice and quantitative regulation of topdressing. In this study, we conducted four experiments using different nitrogen (N) application rates (0⁻400 ...
Ke Zhang   +8 more
doaj   +1 more source

Estimating defoliation of Scots pine stands using machine learning methods and vegetation indices of Sentinel-2

open access: yesEuropean Journal of Remote Sensing, 2018
In the presented study, the Sentinel-2 vegetation indices (VIs) were evaluated in context of estimating defoliation of Scots pine stands in western Poland.
Paweł Hawryło   +3 more
doaj   +1 more source

Do Red Edge and Texture Attributes from High-Resolution Satellite Data Improve Wood Volume Estimation in a Semi-Arid Mountainous Region? [PDF]

open access: yes, 2016
Remote sensing-based woody biomass quantification in sparsely-vegetated areas is often limited when using only common broadband vegetation indices as input data for correlation with ground-based measured biomass information.
Brandt, Martin   +6 more
core   +2 more sources

The Red Edge of the Cepheid Instability Strip [PDF]

open access: yesInternational Astronomical Union Colloquium, 1993
AbstractRecent results of investigations of the nonequilibrium effects between gas and radiation on the red edge of the Cepheid instability strip are presented.
openaire   +1 more source

Pepper Plants Leaf Spectral Reflectance Changes as a Result of Root Rot Damage

open access: yesRemote Sensing, 2021
Symptoms of root stress are hard to detect using non-invasive tools. This study reveals proof of concept for vegetation indices’ ability, usually used to sense canopy status, to detect root stress, and performance status.
Shahar Weksler   +5 more
doaj   +1 more source

The Red-Edge Effects in Laurdan Solutions

open access: yesZeitschrift für Naturforschung A, 2003
The luminescence spectrum of laurdan in glycerol consists of two bands with maxima at 425 and 500 nm. The strong dependence of this spectrum on the energy of the excitation quanta is demonstrated. When, excited on the red-edge slope of the absorption band, it is investigated at various temperatures.
V. I. Tomin, J. Heldt
openaire   +1 more source

Remote Sensing Based Simple Models of GPP in Both Disturbed and Undisturbed Piñon-Juniper Woodlands in the Southwestern U.S.

open access: yesRemote Sensing, 2015
Remote sensing is a key technology that enables us to scale up our empirical, in situ measurements of carbon uptake made at the site level. In low leaf area index ecosystems typical of semi-arid regions however, many assumptions of these remote sensing ...
Dan J. Krofcheck   +5 more
doaj   +1 more source

Comparing the Use of Red-Edge and Near-Infrared Wavelength Ranges for Detecting Submerged Kelp Canopy

open access: yesRemote Sensing, 2022
Kelp forests are commonly classified within remote sensing imagery by contrasting the high reflectance in the near-infrared spectral region of kelp canopy floating at the surface with the low reflectance in the same spectral region of water.
Brian Timmer   +4 more
doaj   +1 more source

Detection of irrigation inhomogeneities in an olive grove using the NDRE vegetation index obtained from UAV images [PDF]

open access: yes, 2019
We have developed a simple photogrammetric method to identify heterogeneous areas of irrigated olive groves and vineyard crops using a commercial multispectral camera mounted on an unmanned aerial vehicle (UAV).
Jorge Sánchez, Juan   +2 more
core   +2 more sources

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