scholarly journals Chlorophyll‐based model to estimate underwater Photosynthetically Available Radiation for modeling, in‐situ and remote‐sensing applications

2021 ◽  
Author(s):  
Xiaogang Xing ◽  
Emmanuel Boss
Keyword(s):  
Remote Sensing ◽  
Photosynthetically Available Radiation ◽  
Sensing Applications ◽  
Remote Sensing Applications

Atacama Field Campaign: laboratory and in-situ measurements for remote sensing applications

2018 ◽  
Vol 12 (1) ◽  
pp. 43-61 ◽  
Author(s):  
Cristian Mattar ◽  
Andrés Santamaría-Artigas ◽  
Flavio Ponzoni ◽  
Cibele T. Pinto ◽  
Carolina Barrientos ◽  
...  
Keyword(s):  
Remote Sensing ◽  
In Situ Measurements ◽  
Field Campaign ◽  
Sensing Applications ◽  
Remote Sensing Applications

scholarly journals Glint Removal Assessment to Estimate the Remote Sensing Reflectance in Inland Waters with Widely Differing Optical Properties

2018 ◽  
Vol 10 (10) ◽  
pp. 1655 ◽  
Author(s):  
Nariane Bernardo ◽  
Enner Alcântara ◽  
Fernanda Watanabe ◽  
Thanan Rodrigues ◽  
Alisson Carmo ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Optical Properties ◽  
Wind Speed ◽  
In Situ Measurements ◽  
Colored Dissolved Organic Matter ◽  
The Third ◽  
Sensing Applications ◽  
Remote Sensing Reflectance ◽  
Remote Sensing Applications

The quality control of remote sensing reflectance (Rrs) is a challenging task in remote sensing applications, mainly in the retrieval of accurate in situ measurements carried out in optically complex aquatic systems. One of the main challenges is related to glint effect into the in situ measurements. Our study evaluates four different methods to reduce the glint effect from the Rrs spectra collected in cascade reservoirs with widely differing optical properties. The first (i) method adopts a constant coefficient for skylight correction (ρ) for any geometry viewing of in situ measurements and wind speed lower than 5 m·s−1; (ii) the second uses a look-up-table with variable ρ values accordingly to viewing geometry acquisition and wind speed; (iii) the third method is based on hyperspectral optimization to produce a spectral glint correction, and (iv) computes ρ as a function of wind speed. The glint effect corrected Rrs spectra were assessed using HydroLight simulations. The results showed that using the glint correction with spectral ρ achieved the lowest errors, however, in a Colored Dissolved Organic Matter (CDOM) dominated environment with no remarkable chlorophyll-a concentrations, the best method was the second. Besides, the results with spectral glint correction reduced almost 30% of errors.

scholarly journals RADAR REMOTE SENSING APPLICATIONS IN LANDSLIDE MONITORING WITH MULTI-PLATFORM INSAR OBSERVATIONS: A CASE STUDY FROM CHINA

2019 ◽  
Vol XLII-2/W13 ◽  
pp. 1939-1943
Author(s):  
T. Qu ◽  
Q. Xu ◽  
C. Liu ◽  
Z. Li ◽  
B. Chen ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Deformation Monitoring ◽  
Landslide Monitoring ◽  
Radar Remote Sensing ◽  
Sensing Applications ◽  
Remote Sensing Applications ◽  
Spatio Temporal ◽  
Remote Sensing Techniques ◽  
Spaceborne Radar

<p><strong>Abstract.</strong> In China, landslides are widely distributed in the mountainous areas of western regions. Especially after the Wenchuan Earthquake in 2008, a large number of landslides were triggered. This work focuses on the deformation monitoring of Xishancun Landslide based on multi-platform spaceborne radar remote sensing techniques. The spatio-temporal deformation characteristics of landslide could be retrieved from time series InSAR processing with joint use of Sentinel-1 and TerraSAR-X datasets. Eventually, the deformation and evolution histories are cultivated thoroughly to realize an effective and comprehensive monitoring and research of Xishancun Landslide. This work concludes that spaceborne radar remote sensing applications could demonstrate great potentials to identify the spatio-temporal characteristics and investigate the kinematics for hazardous landslides, especially combined with in situ measurements and other remote sensing observations.</p>

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