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Satellite Altimetry - Science topic

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The general characteristics of Satellite Laser Ranging (SLR): The photons returning are usually fewer because the transmitting laser and retroreflectors both have a divergence. This means that the laser beam spreads out as it travels, which can affect the accuracy of the measurement. How can this divergence be minimized?
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I suggest you read my article "Millimeter Accuracy Satellite Laser Ranging: A Review" available on Researchgate .
John Degnan
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the above question is regarding the source to download Saral/Altika satellite altimetry GDR (Geophysical data record) data. Actually in "earthdata.nasa.gov" website Saral/Altika raw data OGDR (Operation GDR) is available. But I want to know only GDR data.
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You will need to create an account at AVISO (aviso.altimetry.fr/). Then you select the datasets of interest. They will later send you the ftp link to access the GDRs
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We have analyzed changes in sea level in time in the Odessa Bay of the Black Sea according to satellite altimetry data and in Odessa according to coastal observations. It turned out that there is no complete match. In addition, sometimes there is no coincidence even of trends. In the period 2004-2005, according to the level measurement at the coastal point, a downward trend in the level was recorded, and according to the satellite altimeter, a trend in the level increase was recorded. The charts are attached. We believe that during this period there was an uplift of the level gauge (uplift of the land and the seabed). What do you think?
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Dear William F. Hansen,
Please excuse me.
Vertical axis in centimeters of sea level change (normalized and centered values). The horizontal axis is time (years).
Satellite measurements in the geocentric coordinate system. Coastal measurements of the Black Sea level in the Baltic coordinate system.
You correctly noticed the dependence of coastal level measurements on geodynamics. Indeed, during the geodynamic activity in Odessa (Ukraine), we recorded breaks in water and gas networks.
However, I want to urge you to pay attention to the changing trends in 2004-2005. During this period, processes of an incomprehensible nature took place on the entire planet. If you're interested, check out my other Research gate questions on the 2005 anomalies.
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I downloaded the data and I need to get the elevation values. The data contain different variables and now I am unable to select the right variable which will give me elevation.
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Hi. If your data are in NetCDF format, you can read the files and extract variables with "ncread" function in MATLAB. The variables you need to calculate the water levels are "satellite altitude", "the distance between satellite and water surface (Range)", geophysical corrections such as "pole tide", "solid earth tide", "Sea State bias (for sea waters)", ... , media corrections such as "Wet tropospheric correction", "Dry tropospheric correction", "Ionospheric correction" and retracking correction that is done by algorithms.
Good luck
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I‘m trying to measure land altitude from Sentinel-3 altimeter (such as min/max altitude above ellipsoid over one footprint of a beam). But when I‘m listing through available operations in BRAT software, they are all dedicated for SEA, ICE, etc.
Can someone give me some hint/link for a manual for LAND use of Sentinel-3 altimeter?
Thank you!
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Hi David,
The 'altimeter' on Sentinel-3 is a radar-based instrument dedicated to the measurement of the shape and height of the ocean surface: to my knowledge, it does not provide useful information over land. See, for instance
If you require topographical information over land (i.e., altitude above some reference surface like the reference geoid), you need to focus on other instruments. Search the web for "digital elevation data" and synonyms. Some datasets are freely available, for instance from the USGS:
More detailed data is generally produced by private companies and is available for sale. Before you decide which avenue to pursue, you should define your requirements in terms of spatial coverage and accuracy, and then select the source that matches your needs and your budget.
Good luck, Michel.
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Satellite altimetry is usually used for assessing relative changes in water levels, in lakes, seas etc ... why the same technology can not be used in terrestrial surfaces?
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Another type of radar data is used to monitor subsidence and crustal deformations, but with a different technology than altimetry.
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I'm interested in looking at small to mesoscale eddies in conjunction with discrete biological, chemical and physical data collected over the eastern Bering Sea shelf. I'm aware that tidal influences become problematic in coastal shallow areas but would like to know if there's a way around this.
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Sure, depends on the spatial resolution of the satellite that you use. Please check sentinel satellites.
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For my study region, I would like to know the tidal height value for each day of sampling during study period for the water sampling locations? As some measurments dated back 3-5 years ago, i do not have tidal charts for the study location. So i would like to use utilise satellite remote sensing for this purpose? how to proceed? 
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Dear Nitish,
You may check sentinel 3 data provided by ESA.
Best of luck!
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In common view mode, the ground to ground time transfer by Two- Way satellite Time and Frequency Transfer (TWSTFT), What are the different models which reduces the noise of the space clocks?
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Hello Researchers, I have a question related to sea level rise in the coastal region of Gujarat. How can I assess the local sea-level rise for the coastal region of gujarat as there are many few stations which has tide gauge level data?
Also satellite altimetry provides regional MSL which needs to be downscaled to coastal level of western India especially Gujarat.
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Thanks Sir Guillermo
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Regularly, geodesists at international colloquium wonder what is the next big step in geodesy (see Geodesy and its future, A. Dermanis & F. Sanso /the role of geodesy – C. Rizos – FIG 2012). If we exclude engineering applications associated with the rise of GNSS and all the new constellations (GLONASS, Beidou, Gallileo,…) which will indubitably promote new technological niches in the Location Based Services market beyond navigation and tracking applications.
We are then left with the applications of geodesy to geosciences a.k.a environmental geodesy- e.g. . the study of reference frame in geophysics with plate tectonics movement & earth rotation; oceanography with multiple applications including the measurements of tides, height datum and bathymetry; in climate change – geodesists estimate the sea-level rise around the world. Nowadays, geodesists need to analyse different satellite missions (GNSS, GRACE, satellite altimetry …) and correlate various observations in order to produce robust models and describe/discover new natural phenomena. Thus, does the future of environmental geodesy rely on AI and big data algorithms to process & analyse large amount of data and build empirical models used in the analysis/prediction of natural phenomena? With the need to monitor closely climate change, geodesists will be involved in studies involving the data analysis of future satellite missions (see my previous question on “big data and climate change”).
Last but not least, with the willingness of exploring Mars and other planets, a future field of interest may be the application of geodesy in the analysis of geophysical phenomena occurring on those planets…. What do you think?
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alright. All clear. Thanks for sharing.
Best Wishes, Jean-Philippe
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Recently, many scientific applications such as:
In geology, the inversion of the geoid is used for Petroleum Exploration.
I am looking for studies and research in this field
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Dear Abd-Elrahim , I suggest reading this book:
Best regards
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I am new for Generic Mapping Tool (GMT), but I would like to work through a few simple examples of generating legends (ie. multiple points or lines plotted on a single figure using psxy). In the following example, I want a set the location of Legend in the southwest (Inside bottom-left of axes).
gmt psbasemap -R-108/-105/31/35 -JM6i -Ba0.5 -K -P> New_Mexico.ps
gmt pscoast -R -J -Df -Gwhite -O -K -P>> New_Mexico.ps
gmt psxy Data1.txt -R -J -Sc0.5c -Gblue -O -K -P >>New_Mexico.ps
gmt psxy Data2.txt -R -J -St0.5c -Gred -O -K -P>>New_Mexico.ps
gmt psxy Data3.txt -R -J -Ss0.5c -Ggreen -O -K -P>>New_Mexico.ps
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Dear Abd-Elrahim Ruby,
I am also new in GMT, but I have found a good manual "Getting Sterted with GMT: An Introduction to Seismologists" by Matthew R. Agius, you can request a full-text, hope it will help you.
Best regards,
Katerina
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I am looking for a research about:
Comparison between the three dedicated gravity fields mapping mission, [CHAMP (1996), GRACE (2002) and GOCE (2009)], in geoid modeling (when using the satellite-only model related to these three mission)
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Dear, Dr. Basem
Many thanks for helping me and also for this answer
Can you help me to get more details about these three missions in a gravity field?
Regards
Abdel Rahim
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Conversion between different permanent tide systems involves either modifying one spherical harmonic coefficient or adding a zonally uniform correction to the geoid undulations.
 More information sees
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Recollection
Imagine the 3 gravity fields:
(1) the gravity field of the Earth, described in the rotating Earth-fixed coordinate
system, under the assumption that Moon and Sun do not exist ==> tide free gravity field model
(2) the gravity field of the Earth, described in the rotating Earth-fixed coordinate
system, plus the gravity fields of the Moon and the Sun averaged over a long time (which is called the permanent tidal effect), plus the effect of Earth's deformation, caused by Moon and Sun, on the gravity field (also averaged over time)   ==> mean tide gravity field model
(3) the gravity field of the Earth, described in the rotating Earth-fixed coordinate
system, without the gravity fields of the Moon and the Sun, but, with the indirect effect of Earth's deformation ==> zero tide gravity field model
The differences of these three gravity fields can be described (as the gravity
field itself) in terms of spherical harmonics. Strictly, these spherical harmonic series go up to infinity.
But, because the permanent (i.e. averaged over time) tidal effects change the gravity field only very globally, it turned out that it is sufficient to change only the coefficient C20, which describes the flattening of the equipotential surfaces of the gravity field.
This answer I received from Dr. Franz Barthelmes (Section 1.2: Global Geomonitoring and Gravity Field, Department 1: Geodesy and e-mail:    bar@gfz-potsdam.de)
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I want to calculate moho depth and I have only satellite gravity data. Does satellite gravity data give good result?
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Dear Avinash,
I think that the above answers deal with the use of Parker-Oldenburg's method to directly estimate the crust-moho interface from the data (inversion). However, the method uses frequency domain processing to somewhat extract spectral content of the data. So, it is not the spectral analysis (radially averaged) that we usually use to estimate the depth of the anomalous source (in a whole) and to filter the data.
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I reccently use the newly issued surface geostrophic velocity data from AVISO, and I have a question about the accuracy of the altimetry data. Because the velocity is calculated from ADT, which is the sea surface height (SSH) above the geoid. Firstly, I found a validation report in AVISO website between tide gauge and SSH data, and the difference can be 0.04 m at my area, which could introduce large discrepency from the calculation of velocity (V=(g*diff(adt))/(f*diff(distance))).
I am wondering if this validation is suitable for the velocity, or there are other validations concerning to the geostrophic velocity calculated from altimetry data.
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As  accuracy of Aviso altimetric data depends on the accuracy of the orbit determination, where three techniques were used (GPS, Doris and SLR) on Jason 2 satellite for example  you can perform an MSL (or a marine geoid) with a centimetric accuracy. The difference on your area about 0.04 m is in the acceptable limit, considering the data used and the use of precise tide gauge measurement which will provide millimetric accuracy on the coast. The geostrophic velocity obtained will be in the same order of the data available on your area.
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As possible, any researcher helps me to getting this research
G. WEBER, 1984: Hochauflösende mittlere Freiluftanomalien und gravimetrische Lotabweichungen für Europa. Wissenschaftliche Arbeiten der Fachrichtung Vermessungswesen der Universität Hannover, Nr. 135, Hannover, 1984
H.-G. WENZEL, 1985: Hochauflösende Kugelfunktionsmodelle für das Gravitationspotential der Erde. Wissenschaftliche Arbeiten der Fachrichtung Vermessungswesen der Universität Hannover, Nr. 137, Hannover, 1985
Please send me a link to download this references
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Your university library may be able to do an "Interlibrary Loan", (abbreviated ILL, also known as interloan, interlending, document delivery, or document supply), a service where you can borrow books or receive photocopies of documents that are owned by the Universität Hannover library, or any other library.
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The ground tracks of a single satellite cross each other after a certain time. At the intersection of two ground tracks (called crossover) the altimeter system allows to observe the sea surface twice. If the sea surface would not change, the sea surface heights derived from measurements of both ground tracks should be identical. In reality, the difference of sea surface heights (the so called crossover differences) do not vanish due to errors of the orbital height
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Hi Doha,
the main contributions to crossover differences used to be orbit errors. For Geosat and the ERS-satellites crossover adjustment/crossover height minimization was used to constrain the orbit solutions. However, not only the orbit errors are minimized but also long-wavelength sea level signals.  Nowadays, with much more tracking data, greatly improved gravity field models and better dynamical modelling it is not used any further.   A commonly used alternative method is to adjust the ERS/Envisat data to Topex/Jason data. If you use ERS (and Envisat) data you might want to check  whether  crossover adjustment (or something else) has been used for the specific orbit model.
Hope that helps, Saskia
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I am interested in doing research on sea level rise. How can we get altimeter data for doing research on  sea level rise
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Hey Bharathi
AVISO+ is very good to start from, as daily data are available now. Here are the links
Good Luck !!!
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GRACE and other satellite missions have many applications one of them is investigation of the change in water content 
how can I do that with GRACE or other missions data?
what the type of data used for this purpose?
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Hello Doha,
you can derive changes of water mass from time variable gravity data if you correct the for changes originating from the atmosphere and the solid earth (i.e. mainly glacial isostatic adjustment and earthquakes). There are different techniques used to suppress noise and inhibit signal leakage from areas outside the study area.
You can retrieve time variable gravity fields from eg.:  http://icgem.gfz-potsdam.de/ICGEM/. For further processed data (equivalent water levels) and recipes how to process the data you might check here: https://podaac.jpl.nasa.gov/datasetlist?ids&values&search=tellus
Regards, Saskia Esselborn
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Such as in:
Triple collocation
Jur Vogelzang and Ad Stoffelen
Document NWPSAF-KN-TR-021
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A simple version of TC and ETC results,  based on :
McColl, K. A., J. Vogelzang, A. G. Konings,
D. Entekhabi, M. Piles, and A. Stoffelen
(2014), Extended triple collocation:
Estimating errors and correlation
coefficients with respect to an unknown
target, Geophys. Res. Lett., 41,
6229–6236, doi:10.1002/2014GL061322.
c=cov(x);
q=[];
q(1)=sqrt(c(1,1)-c(1,2).*c(1,3)/c(2,3));
q(2)=sqrt(c(2,2)-c(1,2).*c(2,3)/c(1,3));
q(3)=sqrt(c(3,3)-c(1,3).*c(2,3)/c(1,2));
p=[];
p(1)=sqrt((c(1,2)*c(1,3))/(c(1,1)*c(2,3)));
p(2)=sqrt((c(1,2)*c(2,3))/(c(2,2)*c(1,3)));
p(3)=sqrt((c(1,3)*c(2,3))/(c(3,3)*c(1,2)));
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I have some questions about Global Gravity Field Models (ICGFM).
Where How to Calculate Coefficients of this model? I.e. I need the program to compute spherical harmonic analysis of EGM model.
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Dear Eng, Ahmed
Thanks for adding your answer
this paper Failure during download
It can be sent to email (abd_roby87@yahoo.com)
Thanks
Abdel Rahim
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These days I am  studying about Radar Altimetry, to fully understand the Cryosat mission. By the way, I can't find what kind of retracker is applied in L2 SARin mode data. As far as I checked, the low-resolution mode(LRM) was retracked by both of OCOG and CFI retracker. Is this same to SARin mode data?
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Dear
Could anyone please let me know the procedure of making fine resolution DEM from CARTOSAT image. I would be happy even if you can help me to send relevant literature to prepare DEM. 
My objective is to check the impact of LU/LC change on runoff.
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1.First  add image
2. select RCP file
3.do interior & exterior orientation
4. Run Auto die point generation
5. do Triangulation
6. images are fit to image coordinates then give GCP and run again triangulation after giving GCP the images are come to ground coordinates.
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The positioning coordinate of a laser footprint is decided by many factors, not only including the location and attitude of satellite platform, but also laser ranging. Before the lauching of a satellite laser altimeter, how do you build up the model to describe the impact of these factors?
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I believe you have probably faced such problems with the Icesat laser altimetric satellite. Regarding this issue I think that the following Algorithm Theoretical Basis Document and paper can help you to explain better the positioning error:
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Like Jason can give about oceans.
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You can extract depth information from satellite images (or orthophotos) of clear shallow waters. You can use just optical bands, as Leo wrote above. It is possible to use even Google images. Just, you need to have several points with known depth for calibration.
This possibility has been examined by many authors:
Lyzenga, D.R., 1978. Passive remote sensing techniques for mapping water depth and bottom features. Applied Optics 17 (3), 379-383.
Clark, R.K., Fay, T., Walker, C., 1987. Bathymetry calculations with Landsat 4 TM imagery under a generalized ratio assumption. Applied Optics 26 (19), 4036-4038.
Benny, A.H., Dawson, G., 1983. Satellite imagery as aid to bathymetric charting in the Red Sea. The Cartographic Journal 20 (1), 5-16.
Stove, G., 1985. Use of high resolution satellite imagery in optical and infrared wavebands as an aid to hydrographic and coastal engineering. Proceedings Conference on Electronics in Soil and Gas, London, January 1985 (Twickenham: Cahners Exhibitors), pp. 509-530.
Stumpf, R.P., Holderied K., Sinclair M., 2003. Determination of water depth with highresolution satellite imagery over variable bottom types. Limnology and Oceanography 48 (1, part 2), 547-556.
A review of passive remote sensing of shallow-water bathymetry Yarbrough, L.D., Easson, G., 2003. Comparison of techniques for deriving bathymetry from
remotely sensed data. AMRS – Conference 2003: Hyperspectral Issues for Coastal Zone Environments.
Baban, S.M.J., 1993. Evaluation of different algorithms for bathymetric charting of lakes using Landsat imagery. International Journal of Remote Sensing 14 (12), 2263-2273.
Bramante, J.F.; Raju, D.K., Min T.S., 2010. Derivation of bathymetry from multispectral imagery in the highly turbid waters of Singapore’s south islands: A comparative study. DigitalGlobe 8 – Band Research Challenge 2010.