Results 11 to 20 of about 13,057 (116)

Effects of Atmospheric Correction on Remote Sensing Statistical Inference in an Aquatic Environment

Remote Sensing, 2023
Atmospheric correction (AC) plays a critical role in the preprocessing of remote sensing images. Although AC is necessary for applications based on remote sensing inversion, it is not always required for those based on remote sensing classification ...
Weining Zhu, Wei Xia
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Chlorophyll and Total Suspended Materials Concentrations and Remote Sensing Reflectance Data measured at the Red Tide Area of Jinhae, Geoje, and East Sea during August from 1998 to 2003 and August 2013 [PDF]

Geo Data, 2019
The chlorophyll and total suspended materials concentrations and remote sensing reflectance data were observed for red tides occurring every summer in waters around the Korean Peninsula.
Jeong-Eon Moon, Tai-Hyun Han, Kwang-Seok Kim, Deuk-Jae Hwang, Jae-Hyun Ahn, Jong-Kuk Choi, Joo-Hyung Ryu, Young-Je Park   +7 more
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Hyperspectral Irradiance Data for a Comparison and an Analysis of Optical Satellite Spectral Observation: Based on Seogwipo Forest Flux Tower [PDF]

Geo Data, 2019
Comparison with ground-truth data is essential for developing and applying remote sensing algorithm towards the Earth surface. Unfortunately, major sources of domestic ground-truth data are depending on field-campaign with limited period because of ...
Hongtak Lee, JongMin Yeom
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Fast and Accurate Simulation of Canopy Reflectance under Wavelength-Dependent Optical Properties Using a Semi-Empirical 3D Radiative Transfer Model

Journal of Remote Sensing, 2023
Generating canopy-reflectance datasets using radiative transfer models under various leaf and soil optical property combinations is important for remote sensing retrieval of vegetation parameters.
Jianbo Qi, Jingyi Jiang, Kun Zhou, Donghui Xie, Huaguo Huang   +4 more
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Bottom Reflectance in Ocean Color Satellite Remote Sensing for Coral Reef Environments

Remote Sensing, 2015
Most ocean color algorithms are designed for optically deep waters, where the seafloor has little or no effect on remote sensing reflectance. This can lead to inaccurate retrievals of inherent optical properties (IOPs) in optically shallow water ...
Martina Reichstetter, Peter R. C. S. Fearns, Scarla J. Weeks, Lachlan I. W. McKinna, Chris Roelfsema, Miles Furnas   +5 more
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Predicting grain protein content of field-grown winter wheat with satellite images and partial least square algorithm.

PLoS ONE, 2020
Remote sensing has been used as an important means of modern crop production monitoring, especially for wheat quality prediction in the middle and late growth period.
Changwei Tan, Xinxing Zhou, Pengpeng Zhang, Zhixiang Wang, Dunliang Wang, Wenshan Guo, Fei Yun   +6 more
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Initial Performance Analysis of the At-Altitude Radiance Ratio Method for Reflectance Conversion of Hyperspectral Remote Sensing Data

Sensors, 2022
In remote sensing, the conversion of at-sensor radiance to surface reflectance for each pixel in a scene is an essential component of many analysis tasks.
Luke J. R. DeCoffe, David N. Conran, Timothy D. Bauch, Micah G. Ross, Daniel S. Kaputa, Carl Salvaggio   +5 more
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EVALUATION OF ZY1-02D HYPERSPECTRAL SATELLITE SURFACE REFLECTANCE PRODUCTS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
ZY-1 02D satellite is an important satellite in China space infrastructure planning. The Land Satellite Remote Sensing Application Center of the Ministry of Natural Resources of the People’s Republic of China (LASAC) undertook the construction of the ...
S. Liu, L. Guo, B. Xue, X. Wang, H. Zhang, H. Zhang   +5 more
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Improved Aerosol Optical Thickness, Columnar Water Vapor, and Surface Reflectance Retrieval from Combined CASI and SASI Airborne Hyperspectral Sensors

Remote Sensing, 2017
An increasingly common requirement in remote sensing is the integration of hyperspectral data collected simultaneously from different sensors (and fore-optics) operating across different wavelength ranges.
Hang Yang, Lifu Zhang, Cindy Ong, Andrew Rodger, Jia Liu, Xuejian Sun, Hongming Zhang, Xun Jian, Qingxi Tong   +8 more
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Fine scale optical remote sensing experiment of mixed stand over complex terrain (FOREST) in the Genhe Reserve Area: objective, observation and a case study

International Journal of Digital Earth, 2021
Optical remote sensing allows to efficiently monitor forest ecosystems at regional and global scales. However, most of the widely used optical forward models and backward estimation methods are only suitable for forest canopies in flat areas. To evaluate
Biao Cao, Jianbo Qi, Erxue Chen, Qing Xiao, Qinhuo Liu, Zengyuan Li   +5 more
doaj   +1 more source