Results 11 to 20 of about 41,501 (210)

Atmospheric correction of HJ1-A/B images and the effects on remote sensing monitoring of cyanobacteria bloom [PDF]

open access: yesProceedings of the International Association of Hydrological Sciences, 2015
The HJ-1A/B satellite offers free images with high spatial and temporal resolution, which are effective for dynamically monitoring cyanobacteria blooms. However, the HJ-1A/B satellite also receives distorted signals due to the influence of atmosphere. To
H. Ma, S. Guo, X. Hong, Y. Zhou
doaj   +1 more source

The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation [PDF]

open access: yesAtmospheric Measurement Techniques, 2017
Accurate determination of water depth is indispensable in multiple aspects of civil engineering (dock construction, dikes, submarines outfalls, trench control, etc.).
E. Castillo-López   +5 more
doaj   +1 more source

A New Single-Band Pixel-by-Pixel Atmospheric Correction Method to Improve the Accuracy in Remote Sensing Estimates of LST. Application to Landsat 7-ETM+

open access: yesRemote Sensing, 2018
Monitoring Land Surface Temperature (LST) from satellite remote sensing requires an accurate correction of the atmospheric effects. Although thermal remote sensing techniques have advanced significantly over the past few decades, to date, single-band ...
Joan M. Galve   +3 more
doaj   +1 more source

Atmospheric correction of aerial imagery using satellite-derived reflectance data [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Atmospheric correction of large-scale aerial imagery remains a major challenge, mainly due to the difficulty of accurately estimating atmospheric parameters from the images.
A. Nghien, M. Lei, M. Brédif
doaj   +1 more source

Synchronous Atmospheric Correction of High Spatial Resolution Images from Gao Fen Duo Mo Satellite

open access: yesRemote Sensing, 2022
Atmospheric conditions vary significantly in terms of the temporal and spatial scales. Therefore, it is critical to obtain atmospheric parameters synchronized with an image for atmospheric correction based on radiative transfer calculation methods.
Lingling Xu   +12 more
doaj   +1 more source

Atmospheric correction of APEX hyperspectral data

open access: yesMiscellanea Geographica: Regional Studies on Development, 2016
Atmospheric correction plays a crucial role among the processing steps applied to remotely sensed hyperspectral data. Atmospheric correction comprises a group of procedures needed to remove atmospheric effects from observed spectra, i.e.
Sterckx Sindy   +5 more
doaj   +1 more source

Density Correction of NRLMSISE-00 in the Middle Atmosphere (20–100 km) Based on TIMED/SABER Density Data

open access: yesAtmosphere, 2020
This paper describes the density correction of the NRLMSISE-00 using more than 15 years (2002–2016) of TIMED/SABER satellite atmospheric density data from the middle atmosphere (20–100 km).
Xuan Cheng   +3 more
doaj   +1 more source

Monitoring Land Vegetation from Geostationary Satellite Advanced Himawari Imager (AHI)

open access: yesRemote Sensing, 2022
For many years, the Advanced Very High-Resolution Radiometer (AVHRR) and Moderate Resolution Imaging Spectroradiometer (MODIS) instruments have been widely used to monitor the condition of surface vegetation.
Shengqi Li, Xiuzhen Han, Fuzhong Weng
doaj   +1 more source

The influence of atmospheric light scattering on reflectance measurements during photogrammetric survey flights at low altitudes over forest areas

open access: yesLeśne Prace Badawcze, 2018
In this article, we describe methods for the correction of multispectral aerial images by accounting for atmospheric interference. We also summarize the first correction results for images acquired at flight altitudes and evaluate the suitability of ...
Mazur Anna   +4 more
doaj   +1 more source

Atmospheric Effect Analysis and Correction of the Microwave Vegetation Index

open access: yesRemote Sensing, 2017
Microwave vegetation index (MVI) is a vegetation index defined in microwave bands. It has been developed based on observations from AMSR-E and widely used to monitor global vegetation.
Da-Bin Ji   +4 more
doaj   +1 more source

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