Thanks for the excellent video, but Getfeatureinfo is not working eventhough I enabled "EnableGetfeatureinfo" check box, could you please provide your suggestion
Hi Sir, sir with the help of this technique all cloud remove from the scene I mean if I apply it on landsat 4 so its clear all cloud from all scenes ( Band 1 to Band6) or its remove cloud just from one scene
Sir got stuck in the data preparation process&getting error in the Osgeo4 shell grass envi for some part of the code..if any one out there has completed this process to calculate ET can you explain..
Hello, thanks for the video! Can you please say where you got the Landsat 8 images from, though? I've downloaded everything but nothing has quite worked out.
Sir, I created raster for individual weather parameter using interpolation of several point data. I gave those meteorolgical data as input in tif format. It's showing error after running the SEBAL. Sir, can you please suggest what to do?
Respected Sir, I used DEM file for my area of interest to run PySEBAL. But, while getting output it not covered the entire extent (boundary) of area of intereset. Small extent of area at right, top and bottom is missed/cut. Can you please give idea to correct the error?
@@spareeth1981 Sir, Its single tile only. Sir, I also have another question. Both my DEM and hydraulic raster are in the WGS 1984 projection. Do I need to modify the projection of the DEM and soil hydraulic raster before using PySEBAL?
You said pySEBAL takes the extent of DEM. Can you please comment that does DEM resolution (spatial) also determines the spatial resolution of generated products ? If not , which factors / input data are responsible for characterizing the spatial resolution of the outputs ?
I am trying to do something similar for Sentinel-3 OLCI data but I am trying to differentiate snow from clouds. The pixel values seem similar for both. Have you worked with Sentinel 3 OLCI or have any leads?
Dear Sir, Kindly make a video for data prepration for this tutorial.What preprocessing steps are required to use landsat collection1 level-1 data? Does this model support landsat collection2 level-2 data? If not supported, what changes need to be made to use collection2 level-2 data for pysebal models? In addition, how to obtain soil moisture characteristic data? If it cannot be obtained directly, how should it be calculated?
@@yuzi-hq2bf PySEBAL need level 1 data as input. It can be collection 1 or 2. Rest of the preprocessing of Landsat data will be taken care by PySEBAL. You can get the hydrualic soil properties data from here: www.futurewater.eu/projects/hihydrosoil/ This data is also available in GEE.
@@spareeth1981 Thank you very much for your answer sir. I still have questions to ask you. I downloaded the remote sensing data of landsat collection1 level-1 and the dem data of the corresponding strips, and input them into the form given in the case. The other data remained unchanged, but it got stuck at Module 4 during the operation, which was displayed as “Mean water temperature = nan (Kelvin) SD water temperature = nan (Kelvin) NDVI threshold for cold pixels = nan SEBAL did not run line 2 fully". I've spent a week on this and still can't figure it out, I really hope you can take the time to check it out sir. Thank you very much! !
Respected Sir, Where can I get the RH, Wind Speed and remaining meteorological rasters? Can you kindly suggest me the source and transformations that you've applied to bring to units.
Hello Sir, thank you for the detailed tutorial. I am providing numbers as meteorological data rater than rasters. Because I am using the Accuweather API data for the location. Don't have access to instantaneous parameters. Is that fine? Also the ET deficit raster that it produces have majority of pixel values as zero. What could be the reason?
yes thats possible. By default I have removed saving of LE and H as tif files. But you can easily edit the pysebal_py3.py file and enable saving of those files.
Good morning! My name is Lorena de Moura Melo and I am a doctoral student in the Postgraduate Program in Forest Sciences - UFRPE. I am starting research that involves a temporal analysis of the behavior of evapotranspiration in the Tropical Dry Forest in Northeastern Brazil. In this area I want to apply pySEBAL, but I have doubts about the procedures for obtaining Meteorological data. In the manual what would be "echo $HOME", as I "Start the Linux bash", what precedes "commands to extract variables required from GLDAS" and in which folders should I save the GLDAS files I downloaded? Can you help me? Thank you very much in advance! I'm waiting! Yours sincerely
already added shape file in geoserver but when i am going to publish then coming error and first told save the project in qgis but i have already shp file through created arcgis why not comimg there.
I am having issues exporting the VARI maps in geotiff raw format after the latest updates. Before hand I could export the map as a single band grey map with the values at -1 and 1 for vegetation analysis in QGIS. Now I am only able to export the RGB geotiff. This does not work for use in vegetation analysis as the bands are defaulted to 0 255 in all RGB band which does not bare relevance to the indice values between -1 and 1 representing veg cover/health/soil. Every time i try to export the raw image rather than the RGB, a note comes up saying “band index 2 out of range (not in (1,))” and I am unable to export the data and the export option defaults back to geotiff RGB. Please help!! I am processing on “High resolution” setting. I have searched the topic in the forum but there are no matches to this topic. This happens with the other RGB indices (EXG, TGl etc) as well, cannot export the raw geotiff versions.
Hi, Most of the time, this error is due to invalid paths given in input excel file. Could you check if all the paths given in the input excel sheet exists in your computer.
