Відео

@@suthagargovindaraj5476 which collection are you using?

@@reginaldotoo3155 Hi, I simply visualized the image in TCC. Picked randomly few points for each class and exported to GCS :)

@@wahyundapratama781 No. but you have to scale the bands. Multiply the L2 image by 0.0001 (which is the scale factor) and then calculate indices.

@@wahyundapratama781 scaling S2 level 2 product is necessary as GEE stores images in uint64 for storage management. Floating data takes more storage so google did that. Majority of image collections e.g. landsats, sentinel, modis are stored this way and you have to multiply with the scale factor which is provided in the dataset description next to the bands. Some images even have offsets along with scale. For such a band multiply the band by scale factor and add offset to it to get reflectances in your case in nm (nano meters)

@@NEYABHII yes it can be applied to L1 collection2 But why don’t you use Landsat 8/9 SR collection?

@@MuddasirShah okay sir I will try to use the SR collection

@@ibtihajahmad3314 how were the values not matching? Can you email me at muddasirshah@outlook.com

@@Munai-1176 muddasirshah@outlook.com

@@Munai-1176 write an email share your script with commebts or we will set a google meet and there do it

@@njengnapoleonngenge1753 lets meet. Drop an email please muddasirshah@outlook.com

Convert that to points shapefile in qgis upload to ee and load there as a feature collection. I can help you with that muddasirshah@outlook.com

Calculate NDVI first and then use sample or reduce regions

I hope you know the difference

Also is it for time-series you want ndvi values?

@@MuddasirShah It is not for a time series. I need it for 2021 only

Can i use it for extracting all band values?

@@dogoldude yes you can

@@dogoldude however if you get stuck email your script link with comments in it muddasirshah@outlook.com

First perform atmospheric correction to the 4 tiles, export them to earth engine assets. Load the tiles one by one var tile1 = ee.Image(‘path to asset’) var tile2 = ee.Image(‘path to asset’) var tile3 = ee.Image(‘path to asset’) var tile4 = ee.Image(‘path to asset’) var mosaic = ee.ImageCollection([tile1,tile2,tile3,tile4]).mosaic() That’s the simplest technique

Or watch this tutorial ua-cam.com/video/yBFZQs4kj6I/v-deo.htmlsi=zMVClv3CipKSnzOe if you don’t want to export. First load the repository, then after filtering map a function over the collection and perform correction. Using the new corrected image collection generated stack the same date tiles and voila. But this is prone to slow execution. Will write a script and share with you using this methodology. If you want this way please remind me through email Ill write script and share muddasirshah@outlook.com

@@MuddasirShah Dear, I have mailed you the error that I am getting. Please look at it. It was asking for some parameter value. Actually it is time series data so exporting to asset will not be so easy.

@@VISHALSHARMA-ps4jm sure ill look into that.

😍

Thank you 😊

Sure

Assalāmu ʿalaykum wa raḥmatullāhi wa barakātuh Muddasir. I hope you're doing good. I am working on a project which uses GEE for water quality testing. I need some help. How can I connect to you?

Its in video description

Thank you

Spatial interpolation

​@@MuddasirShah can u plz provide the code. ty

@@manishmaurya6580its in video description

Hi Aishwarya, Sure I will help you. Please email me on muddasirshah@outlook.com

Hi, Thank you for pointing this out. Yes, I am aware of it but this repo is managed by some other person. I faced similar issues but most of the time it works. It started doing this behaviour very recently

❤️😁

Sorry I didn’t quite understand your question

Thank you

Hi, Personally I have never used landsat 5 imagery. Only studied it. But will look for a script if available on GEE and will get back to you.

Hi create a shapefile out of it. Upload it to GEE assets, then import the uploaded asset in your script as a ee.FeatureCollection(“asset_path”) use reduce regions on it Finally Export.table.toDrive(format:”csv”) Run the script then go task tasks and click on run. A csv file will be exported

Frankly, I am a beginner in learning Google Earth Engine, so I have difficulty understanding what you are talking about!! Please can you make a video explaining this and I would be grateful to you

@@shahadawadalabidi7565 ua-cam.com/video/kyEJ49q6TDs/v-deo.htmlsi=ordyHQ6VPwNfI1KG

@@shahadawadalabidi7565 in this video I have used sample regions. Instead of sample regions use the reduceregions function as shown in this tutorial for your shapefile

Ok, thank you very much@@MuddasirShah

Yes it will work , even it will work with CPU but that will take time

Please find here developers.google.com/earth-engine/datasets/catalog/LANDSAT_LC08_C02_T1

This is at sensor radiance. Not sure about BOA Radiance

@@MuddasirShah thank you, but isn't atmosperic correction data, this is RAW data.

@@Вадим-е2ш2л umm 🤔 if you have the conversation equations I can write script for you because it comes with metadata

export he classified images using the Export.image.toDrive() function. Then download the geotiff from google drive and load in arc or qgis. Visualize the data there however you like :)

@@MuddasirShah I exported and added in Arcmap but the legend disappears when I try to map in arcmap.

@@alemayehumullatuadashio5350 please email muddasirshah@outlook.com

Yes I understand and that’s possible. You have to make a data table. These helper chart functions in GEE utilize google charts API. You can modify them to a certain point by using setOptions. But once your data is in the form of datatable, with google charts API you can customize the chart however you like. Let me share some resources

courses.spatialthoughts.com/gee-charts.html#datatable-charts

Excellent, thank you so much

Yes script link available

Share your script muddasirshah@outlook.com

Thank you for your quick response. I believe I succeeded; I probably made a mistake in the collection name. If I may, I would like to ask you something. Once the mask is created, can I obtain statistical information about how many valid pixels I have within my study area?@@MuddasirShah

Hi use can use the quality bands from Landsat and generate cloud mask from the cloudy bits.

Watch this tutorial. It’s for Sentinel-2 but the idea the same ua-cam.com/video/989DoViDORo/v-deo.htmlsi=4HqgVniZpXhsCD7N

@@MuddasirShah Thank you for your reply. I did already remove cloud but the problem is the pixels that contains clouds has been delete.

@@hindlamrani7078 so you want gap filling?

@@hindlamrani7078 spatialthoughts.com/2021/11/08/temporal-interpolation-gee/

Yes it’s the same thing. TOA to BOA. Sen2Cor is just the plugin name in ESA SNAP. That essentially does the same thing. It is good that you have commented. Recently I was using this and it returned a null image. So I will have to talk SIAC developer. You can check and let me know if that happens to your image as well

You just have to define I/O paths. I am sorry I am occupied a lot these days. Else would’ve loved to do meeting with you. Just remove the gcloud credentials and authentication part. Like manually remove each variable associated with gcloud. And give the google drive folder path by copying it from colab sidebar. It’s easy I am sure you can do it

@@MuddasirShah thank you so much for your valuable response

Yes that’s possible. Fetch the values in a feature collection. Then use the sort method

Yes that’s possible

Try series by region chart. developers.google.com/earth-engine/apidocs/ui-chart-image-seriesbyregion

Alternatively I recommend downloading the min values for locations as a csv using this method ^tutorial. And using python or R you can do great charting. I generally do that. If this isn’t the answer you were expecting you can write an email to me and I will write script for you. muddasirshah@outlook.com

yeah it would be better for me because I don't understand how to use the tutorial only for extract some values from a chart. Moreover I'd like to identify the area in a image with the lowest N pixels@@MuddasirShah

Hi Sofy, How are you? Pls email me at muddasirshah@outlook.com, I will share my WhatsApp there

Pakistan