Results 1 to 10 of about 740,297 (285)

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 [PDF]

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   +4 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

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. However, the absence of red-edge bands limits the applicability of Landsat images, the most widely used remote sensing data, to vegetation monitoring.
Yuan Zhang
exaly   +5 more sources

EFFECTS OF GF-6 SATELLITE RED-EDGE BANDS ON PEANUT DROUGHT MONITORING [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Red-edge band is an indicator band to describe the health status of crops. In order to explore the impact of the red-edge bands on the accuracy of agricultural drought monitoring, this study used GF-6 WFV and Landsat8 to calculate the Red-edge Normalized
Y. Zhang   +7 more
doaj   +3 more sources

Effect of the Red-Edge Band from Drone Altum Multispectral Camera in Mapping the Canopy Cover of Winter Wheat, Chickweed, and Hairy Buttercup

open access: yesDrones, 2023
The detection and mapping of winter wheat and the canopy cover of associated weeds, such as chickweed and hairy buttercup, are essential for crop and weed management.
Clement E. Akumu, Sam Dennis
doaj   +3 more sources

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

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   +3 more sources

Regional estimation of savanna grass nitrogen using the red-edge band of the spaceborne RapidEye sensor

open access: yesInternational Journal of Applied Earth Observation and Geoinformation, 2012
The regional mapping of grass nutrients is of interest in the sustainable planning and management of livestock and wildlife grazing. The objective of this study was to estimate and map foliar and canopy nitrogen (N) at a regional scale using a recent high resolution spaceborne multispectral sensor (i.e.
Abel Ramoelo   +2 more
exaly   +4 more sources

Analysis of Resampling Methods for the Red Edge Band of MSI/Sentinel-2A for Coffee Cultivation Monitoring

open access: yesGeomatics
Spectral indices such as NDRE (Normalized Difference Red Edge Index), CCCI (Canopy Chlorophyll Content Index), and IRECI (Inverted Red Edge Chlorophyll Index), derived from the Red Edge band of MSI/Sentinel-2A (B05, B06, B07), are critical for coffee ...
Rozymario Fagundes   +7 more
doaj   +2 more sources

Development of soil water content retrieving method for irrigation agriculture areas using the red-edge band of Gaofen-6 satellite

open access: yesAgricultural Water Management
Soil water content (SWC) is an essential index that reflects water conditions in the soil surface during drought, and changes in SWC are critical in guiding agricultural irrigation management.
Rong Wang   +6 more
doaj   +3 more sources

Exploring the Potential of WorldView-2 Red-Edge Band-Based Vegetation Indices for Estimation of Mangrove Leaf Area Index with Machine Learning Algorithms

open access: yesRemote Sensing, 2017
To accurately estimate leaf area index (LAI) in mangrove areas, the selection of appropriate models and predictor variables is critical. However, there is a major challenge in quantifying and mapping LAI using multi-spectral sensors due to the saturation
Yuanhui Zhu   +6 more
doaj   +3 more sources

Home - About - Disclaimer - Privacy