Results 1 to 10 of about 12,411 (113)

Design and Construction of UAV-Based Measurement System for Water Hyperspectral Remote-Sensing Reflectance [PDF]

Sensors
Acquiring a large number of in situ water spectral measurements is fundamental for constructing water color remote-sensing retrieval models and validating the accuracy of water color remote-sensing products.
Haohui Zeng, Xianqiang He, Yan Bai, Fang Gong, Difeng Wang, Xuan Zhang   +5 more
doaj   +4 more sources

Application of Reflectance Indices for Remote Sensing of Plants and Revealing Actions of Stressors

Photonics, 2021
Environmental conditions are very changeable; fluctuations in temperature, precipitation, illumination intensity, and other factors can decrease a plant productivity and crop.
Anastasiia Kior, Vladimir Sukhov, Ekaterina Sukhova   +2 more
doaj   +3 more sources

Comparing, validating and improving the performance of reflectance obtention method for UAV-Remote sensing

International Journal of Applied Earth Observations and Geoinformation, 2021
Recently, remote sensing based on the unmanned aerial vehicle (UAV) has become a novel remote sensing technology for researching the characteristics of the earth and the properties of the objects near the earth's surface.
Hongtao Cao, Xingfa Gu, Yuan Sun, Hailiang Gao, Zui Tao, Shuaiyi Shi   +5 more
doaj   +3 more sources

Influence of Dispersed Oil on the Remote Sensing Reflectance—Field Experiment in the Baltic Sea [PDF]

Sensors, 2021
Henryk Toczek, Kamila Haule, Karolina Borzycka   +2 more
exaly   +2 more sources

Evaluation of Stray Light Correction for GOCI Remote Sensing Reflectance Using in Situ Measurements

Remote Sensing, 2016
The Geostationary Ocean Color Imager (GOCI) is the world’s first ocean color sensor in geostationary orbit. Although the GOCI has shown excellent radiometric performance with little long-term radiometric degradation and a high signal-to-noise ratio ...
Wonkook Kim, Jeong-Eon Moon, Jae-Hyun Ahn, Young-Je Park   +3 more
doaj   +3 more sources

Modelling Remote Sensing Reflectance to Detect Dispersed Oil at Sea [PDF]

Sensors, 2020
Zbigniew Otremba, Emilia Baszanowska, Jacek Piskozub   +2 more
exaly   +2 more sources

Algorithm of Additional Correction of Level 2 Remote Sensing Reflectance Data Using Modelling of the Optical Properties of the Black Sea Waters

Remote Sensing, 2022
Atmospheric correction of satellite optical data is based on an assessment of the optical characteristics of the atmosphere, such as the aerosol optical depth of the atmosphere and the spectral slope of its spectrum, the so-called Angstrom parameter ...
Elena N. Korchemkina, Daria V. Kalinskaya   +1 more
doaj   +1 more source

Detecting Winter Cover Crops and Crop Residues in the Midwest US Using Machine Learning Classification of Thermal and Optical Imagery

Remote Sensing, 2021
Cover crops are an increasingly popular practice to improve agroecosystem resilience to climate change, pests, and other stressors. Despite their importance for climate mitigation and soil health, there remains an urgent need for methods that link winter
Mallory Liebl Barnes, Landon Yoder, Mahsa Khodaee   +2 more
doaj   +1 more source

A HYPERSPECTRAL REMOTE SENSING FUSION TECHNOLOGY BASED ON SPECTRAL NORMALIZATION OF GF AND ZY SERIES SATELLITES [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Globalized surface coverage, environmental monitoring and other earth system science and high-quality global surface coverage monitoring applications urgently need basic hyperspectral remote sensing reflectance data to support.
S. Liu, H. Li, X. Wang, C. Liu, Y. Wang, P. Huang   +5 more
doaj   +1 more source

Modeling Snow Surface Spectral Reflectance in a Land Surface Model Targeting Satellite Remote Sensing Observations

Remote Sensing, 2020
Snow surface spectral reflectance is very important in the Earth’s climate system. Traditional land surface models with parameterized schemes can simulate broadband snow surface albedo but cannot accurately simulate snow surface spectral reflectance with
Donghang Shao, Wenbo Xu, Hongyi Li, Jian Wang, Xiaohua Hao   +4 more
doaj   +1 more source