DavidLi521's Stars
CNES/swot-hydrology-toolbox
CNES/swot_simulator
SWOT Simulator for Ocean Science
ArcticCartographer/ICESat-2-Satellite-Derived-Bathymetry-using-Landsat-8-data
Code to process ICESat-2 ATL03 photon returns into refraction corrected bathymetry and collocate the data to reflectance values from Landsat 8 multispectral data (Processed in the SeaDAS program) to interpolate depth in optically shallow water.
abhilash12iec002/Penetration-depth-evaluation-of-L-and-S-band-SAR-Signals
We study the functional relationship between the dielectric constant of soil-water mixture and penetration depth of microwave signals into the ground at different frequency (L&S) band and incidence angles. Penetration depth of microwave signals into the ground depends on the incidence angle and wavelength of radar pulses and also on the soil properties such as moisture content and textural composition. It has been observed that the longer wavelengths have higher penetration in the soil but the penetration capability decreases with increasing dielectric behaviour of the soil. Moisture content in the soil can significantly increase its dielectric constant. Various empirical models have been proposed that evaluate the dielectric behaviour of soil-water mixture as a function of moisture content and texture of the soil. In this analysis we have used two such empirical models, the Dobson model and the Hallikainen model, to calculate the penetration depth at L- and C-band in soil and compared their results. We found that both of these models give different penetration depth and show different sensitivity towards the soil composition. Hallikainen model is more sensitive to soil composition as compared to Dobson model. Finally, we explore the penetration depth at different incidence angle for the proposed L- and S-band sensor of upcoming NASA-ISRO Synthetic Aperture Radar (NISAR) mission by using Hallikainen empirical model. We found that the soil penetration depth of SAR signals into the ground decreases with the increase in soil moisture content, incident angle and frequency. References [1] A. Singh, G. K. Meena, S. Kumar and K. Gaurav, "Evaluation of the Penetration Depth of L- and S-Band (NISAR mission) Microwave SAR Signals into Ground," 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC), New Delhi, India, 2019, pp. 1-1. doi: 10.23919/URSIAP-RASC.2019.8738217 keywords: {Synthetic aperture radar;Dielectrics;Moisture;Soil moisture;Sensors;Remote sensing}, URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8738217&isnumber=8738126 [2] Singh, A., Meena, G. K., Kumar, S., and Gaurav, K.: ANALYSIS OF THE EFFECT OF INCIDENCE ANGLE AND MOISTURE CONTENT ON THE PENETRATION DEPTH OF L- AND S-BAND SAR SIGNALS INTO THE GROUND SURFACE, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-5, 197-202, https://doi.org/10.5194/isprs-annals-IV-5-197-2018, 2018. [3] ABHILASH SINGH (2019). Penetration depth evaluation at L-and S-band SAR signals (https://www.mathworks.com/matlabcentral/fileexchange/73040-penetration-depth-evaluation-at-l-and-s-band-sar-signals), MATLAB Central File Exchange. Retrieved October 19, 2019.
rmanzuk/reef_bathymetry
Code to use ICSat-2 to calibrate water depth measurements from satellite imagery and analyze platform geometries
CoralMapping/GEE_Sentinel2_Bathymetry_Paper
This is the Google Earth Engine code for generating bathymetry in "Automated global coastal water bathymetry mapping using Google Earth Engine" paper.
CIDCO-dev/SatelliteBathymetry
Satellite-Derived Bathymetry Toolkit