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how can i get the cod

Muito bom! Código simples e roda bem.

Thanks this was very helpful

Good morning. I'm your new subscriber. Pls can you make a video on how to delineate waterlogged areas using Landsat 8 and MNDWI in ArcGIS😭🙏 It's for my final project😢

Send me the codes plzzz

Will i have to download the landsat image or it will directly use it by itself

Thank you but how can l geo information what colour belongs to what feature?

Ese copy kar kar thodi padhana hota hai jb samne likho ko tabhi samj aayega

when I am running it in same process this error message is displaying "clusters: Layer error: Output of image computation is too large (17 bands for 1045506 pixels = 91.7 MiB > 80.0 MiB). If this is a reduction, try specifying a larger 'tileScale' parameter." can you please help in this regards

God job❤

Thanks a lot!!

Thanks sir, how to I'd iam when using another Satelite, like using sentinel 2 or 1

thankyou so much! this is so helpful

please provide code

Good one 💯

Which number is the day and which is the month

quien me pasa el código para descargar de un polígono información de ráster de Google

Hi Sir, can you tell me why this bands cannot be use in Indonesia? Thankyou

Thank a lot

please share the code link as well

hello, how can I do unsupervised classification on my own tif image?

"Map.addlayer is not a function" Says when I run it. Can you please solve it?

// create LandSat 8 Variable and filter by date and clip by ROI var L8 = ee.ImageCollection("LANDSAT/LC08/C01/T1_TOA") .filterBounds(ROI) .filterDate("2019-03-09", "2020-09-09") .filterMetadata('CLOUD_COVER', 'less_than', 1) .mean() .clip(ROI); //False Color Composite Bands Map.addLayer(L8, {bands:["B5", "B4", "B3"]}); // create land class training points var training_points = Water.merge(Builtup).merge(Greenspaces).merge(Crops).merge(Aquaculture); var training_data = L8.sampleRegions({collection:training_points,properties:['LC'], scale: 30}); //create a classifier var classifier = ee.Classifier.smileCart(); //train classifier var classifer = classifier.train({features:training_data,classProperty: 'LC', inputProperties:["B1", "B2", "B3", "B4", "B5", "B6", "B7", "B10", "B11"]}); var classified_image = L8.classify(classifier); Map.addLayer(classified_image,{min:0, max:4, palette:['blue', 'red', 'green', 'yellow', 'black']}, 'classified image'); Hi can you check what's wrong here? I am getting an error "classified image: Layer error: Image.classify: Classifier has no training data." But I have created five classes (Water, Builtup........Aquaculture) and assigned 'LC" as property, may value was 0 - 4 Thank you in advanced

Hi can you share the code?

pl send code thanks

Awiee, thanku!!

The result may destort if sample size is selected ideally. Is there any way to select appropriate sample size in Arc GIS

Hello Sir, How to Add map Scale on Image In Google earth Engine?

Hi there! When using this code, I am getting the following error: (Line 8: water.merge is not a function). Could it be because .merge is not a function anymore and nowadays another function has been developed? How could i solve it?

You’re a legend good sir

Dada app insta pe hi

Please make video to getting NDVI data from MOD09GA

Hi, do i need to make this correction if use collection 2 level 2? Or collection 2 level 1?

Clusters: layer error: output of image computation is too large. How can I fix it?

hello i need an urgent help.. Can you plss tell me how to convert An image collection(sentinel 1) into its equivalent matrix/array form

Can we use the same script for landsat5 image also? What changes we need to make, because this is not working for landsat5

Sir, rather that making training data through geometry input, I want to use shapefile. Can you tell me how to use shp as data training? Do we need to change the script to do this?

Thank you sir.

excellent tutorials! wondering if you would mind sharing the codes written in notepad with me? Cheers

can u plz send me the word file

Thank you. It really helped me.

Is GEE can be applicable in geodesy issues like providing gravity field functional data

Thanks a lot. I am just adding the script of the code for future use. Hope to get more useful tutorials from your channel. First select your area of interest as ROI and then the script is given below. var L8 = ee.ImageCollection("LANDSAT/LC08/C01/T1_TOA") .filterBounds(ROI) .filterDate("2019-03-09","2020-09-09") .filterMetadata('CLOUD_COVER', 'less_than', 1) .mean() .clip(ROI); var green = L8.select ('B3'); var nir = L8.select ('B5'); var ndwi = green.subtract(nir).divide(green.add(nir)).rename('NDWI'); var ndwiParams = {min:-1, max:1, palette: ['black','white','blue']}; Map.addLayer(ndwi, ndwiParams, 'NDWI Image');

What does it mean that after exporting my NDVI I got two different images with different NDVI Values? I only exported one though.

can you please share me the code?

Check my videos for more fun : ruclips.net/video/nr7qJGwVQYQ/видео.html

Hello, your video is very nice. Could you help me with the code to classify basins of different sizes in square kilometers?

please provide code dear Sir...!

Good work