Questions related to NASA
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Is is possible to download data from NASA website and use it in research papers written for international journals. If possible then is the data source is authentic to use for research work?
For your information the website of NASA is given below from where I want to download and use data....
Please have a look and give your kind suggestions regarding the data authenticity.....
Thanks in advance
If we look closely to scientific works, interviews and speeches of Stephen Hawking, we may see many points unacceptable to norms of science. I myself have identified questionable statements by him that may need to be clarified. I share you several examples:
1- As far as I have seen and read his books, I did not find any referencing styles, bibliography...
2- Strange Statements, for example about Black Holes, rejecting other sciences such as Philosophy,
3- Changing his views constantly, with no reference, talking about Big Crunch, then reject it, talking about Big Bang and then reject it.
4- Advertising "The theory of everything" and then giving it up silently...
5- Did not talk about opposite ideas by others, eg, those who don't accept Big Bang...
6- Changing his ideas about our fate constantly, for example saying we have 1000 years time to leave earth, 600 years, 200 years, 100 years...
7- The reasons he talks about for leaving the earth (such as possible nuclear wars, Viruses, climate change, ... ) could be easily challenged, as humans (if ever according to him ) leave the Earth, wont take with themselves their behavior, culture, tools, systems, policies, attitudes, understanding ideology, beliefs, systems, doctrines? just to name a few.
8- Alien invasion
9- other issues... we talk about later
- I think we as scientists, have to work in accepted norms and frameworks of science and academic research. I partially have spoken about those norms in other discussions, you might like to have a look at... for example:
Please share your ideas on points mentioned above, or other points you know
"The James Webb Space Telescope (JWST) will find the first galaxies that formed in the early universe" - confidently claimed NASA! If the universe is infinite then how NASA or anybody can find a limit, not to speak of the so-called "early universe"? This foolish aim of official theoretical physics and cosmology arises from the utter ignorance of "The Infinite"; the lack of understanding of the source of matter and motion; and the defective theories of gravitation, pointing to a so-called "Big Bang Creation"!
"The Infinite - As a Hegelian Philosophical Category and Its Implication for Modern Theoretical Natural Science" :
"The Philosophy of Space-Time: Whence Cometh Matter and Motion?" :
"KEPLER -NEWTON -LEIBNIZ -HEGEL Portentous and Conflicting Legacies in Theoretical Physics, Cosmology and in Ruling Ideas" :
"The Mystery of the Lorentz Transform: A Reconstruction and Its Implications for Einstein's Theories of Relativity and cosmology" :
Now please enjoy the fun of seeing the "progress" of JWST in the following videos:
I want to convert HDF files to GeoTIFF format. I attempted to instal Earthdata NASA "Release 2.15 (April 2019)" but was unsuccessful. I made sure to act in accordance with the guidance. But I didn't get HEGTool.bat. I disabled the firewall that was installed with Windows. I keep getting error messages that say "Directory not exist" whenever I try to enter the directory path. I have attached the two pictures below for your consideration.
It would be of great assistance to me if someone could direct me.
I'm studying the soil moisture content of AMSR-2 and relevant data currently. One of the required data for my research is surface temperature. And I can not find this data from both NASA and JAXA websites though I found that NASA provides the air surface temperature products in GeoTIFF format (https://nsidc.org/data/NSIDC-0451/versions/3).
Could you please tell me where I can get the retrieval (air) surface temperature of AMSR-2 in the other formats to get the digital data?
I am trying to access the prognostic data repository that belongs to the NASA site without success.
I am trying with this link: https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/
I think they have changed the location of the repository.
Your help will be appreciated to re-access this repository.
Thanks in advance
In my subject, I work on the characterization of the Moroccan marine microbiota by metagenomics under the discipline of microbial ecology.
During the sampling, we could not have all the in situ measurements of the Physico-chemical parameters of the studied microbiome. That's why we had recourse to the extraction of spatial data from the NASA website to complete.
my question is: do we have the right to combine our own data with those of a database to analyze them? ethical and copyright aspects. since these data are submitted to the public with open access.
Why did NASA/RSS stop reporting average global water vapor?
The WV data had been reported monthly by NASA/RSS from Jan 1988 to Jan 2021 at http://data.remss.com/vapor/monthly_1deg/tpw_v07r01_198801_202101.time_series.txt . They stopped reporting with their last report for Jan 2021.
According to NASA/RSS anomaly data (the reference level is 28.73 kg/m^2) at http://data.remss.com/vapor/monthly_1deg/tpw_v07r01_198801_202101.time_series.txtaverage global water vapor increased about 1.49% per decade from Jan 1988 to Jan 2021 (their most recent report). This is about twice the amount that would occur from just temperature increase and amounts to about 7 molecules of WV added for each molecule of CO2 added.
I have read the paper “An Assessment of the State of the Art from the 2019 ARO Dynamic Stall Workshop” by Prof. M.J. Smith et al . where she said that the experimental database on 2-D dynamic stall of airfoils NACA0012, VR 7 and VR12 is available online or by request. I would be grateful if someone who has the web address for getting this experimental database, send it to me.
There are no reliable climate data for my research which is remote and quite far from a weather station. So, NASA power data is the last option. But I need to know the resolution.
I wanna get MODIS Image but the websites pop up below error
Your browser sent a request that this server could not understand. Size of a request header field exceeds server limit."
I use NASA & USGS websites to get it
thanks for your reply
Dear Colleagues. I have a rainfall data of 30 minutes interval from GPM(NASA), I also have an hourly rainfall data of one hour interval from ground 2eather station. The satellite data start at 0: 00 hour while the ground data start at 4:37PM. My question is, how do I convert the half hour data of the satellite to match the one hour ground data to enable me run a regression analysis to use the ground data to validate the satellite data?. I will appreciate your kind contribution as this has been given me sleepless night. Thanks
I`m organizing a testing campaign to evaluate a set tools designed for astronauts using VR (Virtual Reality). To measure the design performance we will use two well established performance evaluation methods, but they are both qualitative (NASA TLX and mSUS). I had the idea to add a quantitative control data layer to the experiment, using biometric feedbacks from wearable sensors.
Since I`m not a physician, I`m not sure which kind of data (and so sensors) will be best suited to measure stress and focus, and which indicators to look for. On the market there is a huge range of wearable sensors (hearth monitors, skin temperature and moisture, breathing levels, ECG).
Thank you for any suggestions or researches you can share on this topic.
I have downloaded data of 10 Aug 2015 from SABER instrument on the NASA TIMED satellite by choosing altitude (10 to 155 km), latitude (-90 to 90) and longitude (0 to 360) and converted in to .mat files. If possible then kindly help me selecting NO_VER for latitude of 69.58° N, altitude of 145 km and longitude of 19.23° E at (01 – 02 UT) from my MAT file of 10 Aug 2015.
Hello everyone. I need to calculate the upwelling and downwelling radiances and atmospheric transitivity for Landsat images prior to 2000 for my research therefore I cannot use the NASA calculator (https://atmcorr.gsfc.nasa.gov/). Does anyone know a way how to determine these parameters for images between 1984 and 2000? I do not have MODTRAN software.
One of the things that has kept NASA's astrobiologists busy is the possible habitability of the low clouds of Venus, in which traces of phosphine have been detected, which is the product of microbial activity, the problem is that it has not been detected enough water to sustain this hypothetical presence of life, so where does this phosphine come from?
Citing Surendra Adhikari at NASA, I would like to ask how it is possible to claim that the North Pole drift is caused by climate change:
"Climate change does not only cause the rise of the oceans, it also disturbs the magnetic field of the Earth. "There has been a dramatic change in the direction of pole drift, undoubtedly caused by climate change, which is linked to the disappearance of the ice sheets, especially in Greenland," said Surendra Adhikari, researcher at the NASA. The North Pole has lost 278 gigatonnes of ice since the beginning of the third millennium. As a result, the magnetic north pole moves eastward, and faster than before. The melting of ice would account for 66% in the acceleration of the phenomenon."
The magnetic pole drift is caused by the magnetic field strength of the North American flux lobe and the Siberian flux lobe (Ref: 1, 2, Figure 1). This is also based on a comparison with the magnetic South Pole in Antarctica, which is immobile and entirely surrounded by ocean, while the magnetic North Pole is driven by continental mineral density of the two major continents forming large magnetic fields. These mineral densities of the Siberian and Canadian regions are fluctuating with the activity of the internal core and the rotation of the iron core of the earth, seismic activity and change in mineral composition of the mantel over several years. The geomagnetic properties of these region can change drastically by the alterations of the electromagnetic field of the planet Earth, which is also affected by the electromagnetic field of the Sun. How can NASA claim that the North pole ice, which is virtually the same as water around Antarctica in magnitude of electromagnetic strength, alter the position of the magnetic North Pole?
1. Gubbins, David, and Peter Kelly. "Persistent patterns in the geomagnetic field over the past 2.5 Myr." Nature 365.6449 (1993): 829.
2. St-Onge, Guillaume, and Joseph S. Stoner. "Paleomagnetism near the north magnetic pole: a unique vantage point for understanding the dynamics of the geomagnetic field and its secular variations." Oceanography 24.3 (2011): 42-50.
For LULC data from USGS, It shows me this error and logging in NASA earth data it doesn't help either, so if you can help me in this that would be really appreciated.
I am trying to map NO2 using the NASA nc files using spyder (python). These files contain the scientific data sets (sds) and can be converted to CVS format and opened with excel. The excel files then contain data for the quantity of that specific pollutant, in this case NO2 with the format e.g. 9.97E-36. How do I map this? Do I convert it into python file first? because those can be mapped easily. But would that require coding? Please help.
Actually, I would like to have an open discussion on the enigmatic subject related to life on Mars. There are two opposite opinions, one supports and the other rejects. However, there are no strong evidences outweighed one of these two opinions till now. Under the circumstances, I would have a feedback on this subject matter from the experts.
I am trying to use NASA Earthdata paired with QGIS to model changes in elevation at any point on Earth with respect to time. When importing certain NASA Earthdata datasets as a raster layer to QGIS, some datasets (ASTER) are imported to the proper coordinates (hovering the mouse of the layer shows the exact coordinates related to the location on Earth), however some datasets (MODIS for example), despite having latitude and longitude data available with the dataset are not imported to QGIS with the proper coordinates corresponding to each point in the layer.
How can I recalibrate or attach specific coordinates to these enlarged raster layers?
I have downloaded NASA MODIS Aqua level 3 daily sea surface temperature it is a nc file and I opened it using raster package in r. I found that there are lots of empty grids without data (please see the uploaded picture). What should I need to do in order to fill in those empty grids? and same problem happened on the Chlorophyll a data. I am so grateful if anyone can answer my questions. Thanks!
The meteorological agencies that monitor global climate [NASA, Met Office, NOAA, Japanese Meteorological Agency] calculate temperature anomalies according to data from many stations around the globe.
Where one can find a full list of those stations for each agency?
Do those agencies rely upon the same stations or different?
Are those stations the same every year or different?
Countries launch satellites for several valid reasons, but now scenario is that many (in thousands) of these are longer working. Thus acting as space debris, these satellites and their non-working parts can collide with existing functional satellites and create more and more debries. Are we doing the same with space what we have done to our Earth or are some countries are taking some action. Please discuss.
I am trying to evaluate solar (PV) potential for various areas in the world with use of daily data. The NASA POWER tool (https://power.larc.nasa.gov/data-access-viewer/) which I consider using, has daily data of All Sky Insolation Incident on a Horizontal Surface . This data has limited usability for tilted panels (as I understand) as it is composed of direct radiation (which depends strongly on the tilt angle) and diffuse radiation.
How can this kind modelling achieved with daily data?
I am trying to plot active fire data taken from NASA FIRMS for a period of 10 years. It is taking to much time to plot using the conventional excel sheet. Is there any tool to simplify the process likely QGIS or other. Kindly help me with this
I want to design PV/wind /hydro hybrid system for rural electrification.
We obtain solar, wind and other information from NASA and other websites. For finding the hydro information there is exist any way like NASA OR OTHER WAY
1. Which software is comparatively easier to learn in order to analyze the available satellite data for air pollutants such as tropospheric ozone, PM10, NO2 etc.
2. Please recommend a guide to follow as well, if possible.
3. Approximately, how much time will it take to analyze data spanning 6 months?
I have climate data from NASA and I'd like to know how do I convert rainfall rates from mm day-1 to mm?
I have tried Idelchik's Handbook of Hydraulic Resistance 4th Edition (2007 page 300) formulas and across some range the formulas are reported valid for, the law of conservation of energy is violated (expansion loss without kinetic exit loss included) and differs from CFD results, underestimating by order of magnitude of about 137 times (while it agrees in other sub-ranges for which it is reported valid within 3% of CFD results).
I have also tried Ekert et al (1976 pages 30 and 36) on NASA's site: https://ntrs.nasa.gov/api/citations/19770005050/downloads/19770005050.pdf
The results in Eckerts also overestimates by as much as 62% of the CFD results when the diffuser cone angle is 5 degrees whereas it agrees within 7% of the CFD results when the cone angle is 1 degree.
Diffuser Loss formulas which agrees within 5% of CFD results for the range it is reported valid for will be appreciated.
The Friction Loss formulas work perfect but the problem is the accuracy of the expansion loss formulas. I need the formulas to run numerical optimization before generating a geometry for CFD so important I get the analytical/numerical formulas .
Thanks in anticipation of the help
We have been investigating the annual/seasonal variability of chlorophyll-a concentration and its relationship with sea-surface temperature and river discharge in coastal shelf region of northern Bay of Bengal (Norther Indian Ocean) and validate MODIA Aqua chl-a data with in-situ measurement. We used 16 years’ level- 3 MODIS aqua chl-a (OCI algorithm) data for our study. But, we are facing several questions related to data from scientific community while publishing paper. The question was quoted below …
“In general, MODIS chlorophyll concentration products provided by NASA were directly used in the paper, without regional correction or regional algorithm inversion, which would lead to the unreliability of the results: It is suggested to carry out regional correction of MODIS or regional algorithm inversion”
How can we clarify this query?
As we worked with level-3 data, there are no way to use regional algorithm. Level-3 chl-a data has a build-in algorithm called OCI (OCx and CI combined). Moreover, there need huge work load (time and funding) to form up a regional algorithm, which was not the scope of our study. Developing regional algorithm can be handy to get more accurate results. But without it, can’t we use level-3 data for our study area in scientific study?
I need some really strong and plausible statements regarding this query? We are rigorously questioned about quality of MODIS aqua data.
This is a plot of wind speed in America at 100m and 80m. what software can i use to plot this
NASA's unmanned X-34 shcramjet demonstration sub-orbital aircraft is air-launched from Orbital Sciences Corp.’s L-1011, a commercial jetliner originally modified to carry the company’s expendable Pegasus launch vehicle. I understand that shcramjet engines need to be boosted to supersonic velocity before they start to work, but I am wondering, "why they are air-launched rather than boosted using a rocket from the ground?"
I suspect it has something to do with reducing vibrations and g-forces on instruments and sensors, or concurrently demonstrating reusable launch vehicle technology, other than the Pegasus, which is considered expendable. I am wondering about the cost difference as well.
New approaches indicate climate variability is due to natural causes. GCMs fail to explain climate variability, as they are blind to solar variations. NASA keeps posting graphs of TSI ignoring the modern satellite measurements that indicate a TSI increase. Running GCMs backwards in time reveal a total catastrophe as they are incapable of reproducing past climate variability. So shouldn't we look closer to the solar variations to examining climate?
Accepted data for the Venusian atmosphere record a surface pressure of 9200 kPa and an atmospheric composition of 3.5% Nitrogen by volume. (NASA data). Using Dalton's Law of Partial Pressure this means that the partial pressure of N2 is 322 kPa and therefore Venus has 4 times as much nitrogen gas as Earth does.
If Venus possessed a CO2 free, nitrogen only atmosphere, then the boiling point of water on Venus would be 136 deg C.
Where does all the nitrogen on Venus come from and how long has the planet had this much nitrogen gas?
Satellite images released by NASA and the European Space Agency reveal the impact of China's Corona virus shutdown on pollution levels across the country.
Production in many factories was halted and transportation restricted to prevent the virus from spreading in the country.
Images taken from January 1-20 show higher levels of nitrogen dioxide in the air. But from February 10-25, traces of the gas are hardly visible.
I am checking the daily precipitation data from NASA POWER (https://power.larc.nasa.gov), which uses data from MERRA2.
When I compare values with other data sets' daily sum values, I see that POWER's values are much lower than other sources, especially in extreme rainy or snowy days. (data sources such as CHIRPS, or DarkSky)
The parameter definition for precipitation is "The daily average rain rate" on the POWER website. ( https://power.larc.nasa.gov/#resources )
Is this the accumulated rain in a day? If so, could it have a tendency to underestimate daily precipitation?
You can compare yourself here: https://climengine.page.link/dvut
using MERRA-2 and CHIRPS dataset. You should see that scales are different between the right and the left.
Free-piston stirling engines (FPSE) have been used by NASA for space power conversion for more than 30 years. Is there a new simpler machine that could replace FPSE?
in the course of learning feature extraction methods and signal processing using IMS Bearing Data set from the Prognostics Data Repository hosted by NASA
(https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/#turbofan) which was made available
by the Center of Intelligent Maintenance Systems (IMS), of University of Cincinnati; how do i process such an amount of data and more specifically, i need to plot an RMS curve to show degradation behavior of bearing_3. i have been trying around Matlab and R but cant get my way around it
I have obtained ASTGTM v002 data from NASA. This dem data is almost 30m/pixel around equator. what I want is 1m/pixel.
The Bilinear Interpolation is used, but the result has many noises. Then I read some paper, there may have a way:
1. Extract contour(vector) from ASTGTM dem.;
2. Raster the contour use the algorith noted in the paper, An algorithm for generation of DEMs from contour lines considering geomorphic features.
Is the way feasible? I am trying to implementing the algorithm. Or there is a better method.
NASA’s latest robotic geologist is starting to reveal the red planet’s pulse.
Thirty years ago, NASA’s Voyager 1 captured an iconic and humbling portrait of our world later described by scientist Carl Sagan as the “Pale Blue Dot.”
Since the resolution of SMI data provided by NASA GSFC is 4000m or 9000m, why the spatial resolution of MODIS Ocean Color SMI data in Google Earth Engine is 500m?
I am trying to download over 800 images from the GIOVANNI platform of NASA. I saw that using wget can act as a faster download option. I have installed wget on my windows operating system and tried to follow some tutorials online. My problem is that I keep getting the error "unable to establish SSL connection". Does anyone have an idea how i can move past this error??
The NASA Power data set gives access to daily or monthly temperature averages for any point on earth. This would be useful for calculating PV output given the reliance of efficiency of panels on temperature, however it seems to me that the peak solar irradiance would coincide not with the average temperature--which includes an average from post-sunset hours too of course--but with the maximum temperature.
What I am looking for is a means to re-calculate the average temperature and skew it to the maximum, but I have only a minimum, maximum and mean temperature. I have a feeling that I would not be the first person to do this for a PV application. Is there some kind of established standard/protocol for doing so?
I am trying to get an accumulated map for precipitation in Giovanni platform. If I use the accumulated map option I get results with an underestimate than the ones obtained by NASA for the same tropical cyclone and time frame.
Do I need to do the accumulation myself after downloading 30-minute cumulation time intervals and run the cummulation in R? My worry is that the data will be a lot and I am not very good at R.
I am working with multiple netCDF images from NASA GPM. I have to make a cumulative hydrology map by adding all the stacks of images together. For now, I have the simple code below but it is impossible to apply it for 868 images.
How can i automate the process?
> rr1<-raster("3B-HHR.MS.MRG.3IMERG.20170922-S230000-E232959.1380.V06B.HDF5.nc") > rr2<-raster("3B-HHR.MS.MRG.3IMERG.20170922-S233000-E235959.1410.V06B.HDF5.nc")
> rr3 <- sum(rr1,rr2) > print(rr3)
I have a data set from NASA Jet Propulsion Laboratory for the "Diameters of the asteroids" that has fallen till now and from that I am trying to forecast future asteroids diameter through ML algorithms.
For this research I am not able to find many published papers. Can anyone guide me with this?
I have come across ICESat (Ice, Cloud, and Land Elevation Satellite) data which provides information regarding altitudes, that are under the operation of NASA's Earth Observing System. Likewise, is there any such satellite covering India? If so, please provide the details.
Thank you very much in advance.
Dear Researchers and Professors,
Trust you are good.
I'm a researcher at School of Computing at Dublin Institute of Technology and currently working on Human Mental Workload under Dr. Luca Longo (www.luca.longo.eu). My research includes the use of Machine Learning in conjunction to the NASA-TLX and its features. For this purpose, I have started to contact all the scholars who have done research with the NASA-TLX and collected primary data. My goal is to collect as many datasets as possible from different researchers to build a data-driven model that considers a multitude of human tasks. I was wondering whether you can share with me your data. I am aware of new GDPR regulation for data protection and privacy and to stick with it, I am not interested in the names of the participants of your dataset, but only in their answers.
It would be of great help if you could provide us the following: 1. Dataset (anonymous containing only the NASA-TLX answers) 2. Which task/s humans performed during the experiment? (perhaps you have already published a paper which we will cite) 3. What was the task performance measure/s used (time/number of errors/etc..)?
I thank you in advance for your kind availability and I am sorry if I have caused any inconvenience. I hope you can help us with this challenging research activity. I look forward to hearing from you.
Raunak Renge and Dr. Luca Longo School of Computing College of Science and Health Dublin Institute of Technology
This is an open thought question for future xenobotanists. I read that NASA is hiring a new round of astronauts for their Mars project, and it made me think about botany that is not on Earth (xenobotany)
Attached the elevation data from USGS 1-arc-second SRTM data. I understood that every pixel is associated with a latitude/longitude and elevation data at that location.
I want to extract the elevation data for a particular location using python 3. I am looking for an example code to do it.
I want to do certain analysis with surface as well as wind speeds at certain pressure levels (500 hPa, 850 hPa,1000hPa). Kindly, let me know the best available wind data in terms of the resolution (preferably 25km x 25 km), as well as good temporal resolution (3 to 6hr.)
Till now i have an option of CFSR, ERAinterim and Reanalysis. However,I want something like TRMM for precipitation, is there any observed wind global datasource ?
At the moment I am working with Sentinel-2 images and would like to generate per pixel angle bands (view_zenith, view_azimuth, sun_zenith and sun_azimuth).
This is my best so far: https://github.com/marujore/sentinel2_angle_bands
Considering Sentinel-2 SAFE structure, I found that MTD_TL.xml (metadata) describes the angle bands. This XML file describes the angle bands as 5000m resolution 23x23 data. Regarding solar zenith and azimuth each one is separated in one matrix, while for view zenith and azimuth it is distributed in several matrix based on the band and detectors.
Another consideration to be done is that this 23x23 matrix (at 5000m) is larger than the granule image. Regarding this, from ESA Sentinel Application Platform (SNAP) forum (https://forum.step.esa.int/t/generate-view-angles-from-metadata-sentinel-2/5598/2) I found out that not all fields from this matrix are used.
That said, I would like to know if there is any code or platform that is used to calculate Sentinel-2 angle bands. I found out that SNAP can perform that but it has several memory issues.
I am trying to download SMAP soil moisture data from http://nsidc.org/data/smap/
How can i download SMAP L2 Radiometer Daily 36 km Soil Moisture data in large batch files (more than 6 months data at one time) including all important parameters?
Can anybody tell me about any Python or Matlab scrip which can download Batch data from HTTP website?
Humans will "absolutely" be on Mars in the future, NASA chief scientist Jim Green told USA TODAY. And the first person to go is likely living today, he said.
As the title stated, the GEOS-5 surface temperature products were used for SMAP surface temperature correction, while the GEOS-5 surface temperature included in SMAP had swath gap. What I need is the global space seamless GEOS-5 surface temperature as well as surface soil moisture products.
Actually, I tried to search them in the NASA/GMAO website: http://gmao.gsfc.nasa.gov/products/, But I found that there are only some air parameters.
Thus who can tell me where can I successfully download these products? Thank you very much.
I am a user of Debian GNU Linux (stable), R and QGIS. I use many data formats, but ESA data are resisting me. They come in NetCDF4. I had tried several R libraries (ncdf4, RNetCDF, raster) abut I believe that these files are not fully compatible with standards. In fact, I can read these files but when I want to process them the program is interrupted. Also, the version of QGIS that comes in Debian GNU Linux does not read these NetCDF4 from ESA. QGIS read perfectly the NetCDF4 from NASA. I really just want to pass one of the layers of these NetCDF4 to GeoTiff. I'm using NASA's Panoply viewer and exporting the data to CSV for import into QGIS, but it's a very slow process. I just need to see the layer and pass it to GeoTiff. Does anyone know a simple visualizer that allows to do it?. Panoply can not do it... Thanks in advance...
COCOMO and NASA are the mostly used datasets in most of the systematic literature review and I need to know why they are used mostly compared to the other like China, Kemerer, etc?
I have Jaxa data of soil moisture level 3 from gportal with an extension of .h5
Variable available are GeoPhysical_Quantity and time_number.
I wanted to extract soil moisture layer and convert it to tif format using python - gdal library, but it is showing 3D array with row column and band.
And we want it in 2D array as having error with 3D array using python library.
When we read the data it ranges from 0 to 600, what does this mean ?
And what is the significance of these values ?
Also We saw for NASA LPRM data, which shows value ranging from 0 to 100, so why there is a difference ?
We all know that human activity has caused global warming and as a result climate change. While politicians pursue strategies harmful to environment to boost economy, scientists cannot rely solely on pre-emptive campaigns to ban fossil fuels. Therefore, I think some other remedies should be sought. One idea which I think about, though I am not sure if it works out, is installing a shield on a suitable orbit between the sun and the earth. Obviously, the shield must be built by specialists and must be so transparent that it allows for less passage of sunbeam to reach the earth. Also, the shield must rotate with the earth rotation, and I think some how the AI technology must be used in it. The planning, construction, calculation, installation and maintenance can be worked out by NASA. Now, my question is “is the above idea workable?”