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Crop Classification Based on Red Edge Features Analysis of GF-6 WFV Data [PDF]

open access: yesSensors, 2021
A red edge band is a sensitive spectral band of crops, which helps to improve the accuracy of crop classification. In view of the characteristics of GF-6 WFV data with multiple red edge bands, this paper took Hengshui City, Hebei Province, China, as the ...
Yupeng Kang   +4 more
doaj   +5 more sources

Analysis of the Effectiveness of the Red-Edge Bands of GF-6 Imagery in Forest Health Discrimination

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The red-edge band is closely related to biochemical parameters that characterize the growth condition of green plants and is an important factor in monitoring vegetation health.
Jiahui Chen, Hanqiu Xu
doaj   +4 more sources

Rice Mapping and Growth Monitoring Based on Time Series GF-6 Images and Red-Edge Bands

open access: yesRemote Sensing, 2021
Accurate rice mapping and growth monitoring are of great significance for ensuring food security and agricultural sustainable development. Remote sensing (RS), as an efficient observation technology, is expected to be useful for rice mapping and growth ...
Xueqin Jiang   +4 more
doaj   +4 more sources

Evaluating the Effectiveness of Using Vegetation Indices Based on Red-Edge Reflectance from Sentinel-2 to Estimate Gross Primary Productivity

open access: yesRemote Sensing, 2019
Gross primary productivity (GPP) is the most important component of terrestrial carbon flux. Red-edge (680−780 nm) reflectance is sensitive to leaf chlorophyll content, which is directly correlated with photosynthesis as the pigment pool, and it ...
Shangrong Lin   +5 more
doaj   +4 more sources

Vegetation Indices Combining the Red and Red-Edge Spectral Information for Leaf Area Index Retrieval [PDF]

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
Leaf area index (LAI) is a crucial biophysical variable for agroecosystems monitoring. Conventional vegetation indices (VIs) based on red and near infrared regions of the electromagnetic spectrum, such as the normalized difference vegetation index (NDVI), are commonly used to estimate the LAI.
Qiaoyun Xie   +2 more
exaly   +6 more sources

DAVs: Red Edge and Outbursts [PDF]

open access: yesThe Astrophysical Journal, 2018
As established by photometric surveys, white dwarfs with hydrogen atmospheres and surface gravity, log(g) ≈ 8.0 pulsate as they cool across the temperature range of 12,500 K ≳ T_(eff) ≳ 10,800 K.
Goldreich, Peter, Luan, Jing
core   +5 more sources

The Impact of NPV on the Spectral Parameters in the Yellow-Edge, Red-Edge and NIR Shoulder Wavelength Regions in Grasslands

open access: yesRemote Sensing, 2022
Even though research has shown that the spectral parameters of yellow-edge, red-edge and NIR (near-infrared) shoulder wavelength regions are able to estimate green cover and leaf area index (LAI), a large amount of dead materials in grasslands challenges
Dandan Xu   +3 more
doaj   +3 more sources

A Practical Method for Red-Edge Band Reconstruction for Landsat Image by Synergizing Sentinel-2 Data with Machine Learning Regression Algorithms [PDF]

open access: yesSensors
Red-edge bands are the most essential spectral data for multispectral remote sensing images, with them playing a critical role in monitoring vegetation growth status at regional and global scales.
Yuan Zhang   +4 more
doaj   +2 more sources

Red edge effect of chalcone derivatives and their application in Bio-sensing. [PDF]

open access: yesRSC Adv
Chalcones capable of exhibiting excitation dependent fluorescence (EDF) and its EDF was utilized in the field of biosensors to obtain tunable brilliant blue to green color.
Saha A, Karar M, Choudhury S.
europepmc   +3 more sources

Adjustment of Sentinel-2 Multi-Spectral Instrument (MSI) Red-Edge Band Reflectance to Nadir BRDF Adjusted Reflectance (NBAR) and Quantification of Red-Edge Band BRDF Effects

open access: yesRemote Sensing, 2017
Optical wavelength satellite data have directional reflectance effects over non-Lambertian surfaces, described by the bidirectional reflectance distribution function (BRDF).
David P. Roy   +2 more
doaj   +3 more sources

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