Download Climate Data (Rainfall) from 1981 - 2022 using Earth Engine API

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In this tutorial, you will learn how to download climate data (rainfall) from 1981 to 2022. You will get monthly total precipitation data from 1981-2020.
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Пікірлер: 26

  • @spatialelearning
    @spatialelearning Жыл бұрын

    Visit our website to learn more: spatialelearning.com Hope this video was useful to you. What video topic would you like to see next?

  • @rebabanerjee8281

    @rebabanerjee8281

    Жыл бұрын

    Drought monitoring related

  • @RIYADULHAQUE-gj2vx
    @RIYADULHAQUE-gj2vx Жыл бұрын

    It's really good. Thanks for sharing.

  • @boazmwubahimana7129
    @boazmwubahimana7129 Жыл бұрын

    thanks for sharing, appreciate

  • @alemayehumullatuadashio5350
    @alemayehumullatuadashio5350 Жыл бұрын

    Dear Dr, thank you for your Videos,all are useful. Would you suggest me how to download MODIS cloud cover (fraction) and /or ISCCP data? I tried download and display it in ArcGIS there is error (LIke the raster data displayed as a straight line rather covering an area. There is no tutorial on the same issue.

  • @badygo338
    @badygo3384 күн бұрын

    Please why do I have invalid argument for Line 28?

  • @vasilica-danuthorodnic9667
    @vasilica-danuthorodnic9667 Жыл бұрын

    How to create and export a map based on this data?

  • @lukinelson
    @lukinelson25 күн бұрын

    On line 33 what is the last codes after 'year'

  • @JisooKristo
    @JisooKristo2 ай бұрын

    can this work for typhoon?

  • @sumangajurel8148
    @sumangajurel8148 Жыл бұрын

    Can you please make the script available in here?

  • @lukinelson
    @lukinelson25 күн бұрын

    The return where it ended with ('year'), will you show all the codes on line 33 and thanks for your lesson. I will appreciate if you can send feedback please.

  • @valinhoantoniomuahaja1645

    @valinhoantoniomuahaja1645

    5 күн бұрын

    var features = karamoja.map(function(f){return f.set('month', img.get('month'), 'year', img.get('year'))});

  • @yox82ify
    @yox82ify Жыл бұрын

    I wrote all the blocks of the code in Earth Engine but I have a syntax error. Unfortunately I could not solve that. The problem was at lines of Zonal Statistics. Could you share whole codes with us ?

  • @ej_entertain

    @ej_entertain

    4 ай бұрын

    //Zonal statistics var rainfall_kumasi = monthlyCol.map(function(img) { var features = roi.map(function(f) {return f.set('month', img.get('month'), 'year', img.get('year'))}) var proj = ee.Image(monthlyCol.first()).projection(); return img.reduceRegions(features, ee.Reducer.mean(),1000, proj); }).flatten(); print('Rainfall Summary Mean', rainfall_kumasi.limit(10));

  • @sharafaldeen5366

    @sharafaldeen5366

    4 ай бұрын

    ​@@ej_entertainit doesn't work with me

  • @keithmwega4927
    @keithmwega4927 Жыл бұрын

    Thank you sir. Now what if I wanted to filter the rainfall data by specific region within Kenya like for example, Mombasa. How would I go about it?

  • @stellachiemela9255

    @stellachiemela9255

    Жыл бұрын

    Please, have you found your way around this? I'm having this challenge at the moment.

  • @stellachiemela9255

    @stellachiemela9255

    Жыл бұрын

    @spatialelearning

  • @keithmwega4927

    @keithmwega4927

    Жыл бұрын

    @@stellachiemela9255 yes I did. You need to create a shape file of your ROI and then import it into google earth engine as an asset. Then add it into the code

  • @expertoptiontrading7675

    @expertoptiontrading7675

    11 ай бұрын

    ​@@keithmwega4927could you please send codes

  • @Sib3sg

    @Sib3sg

    11 ай бұрын

    @@keithmwega4927 do you know the syntax for the importing part? and how to proceed with that, im actually new to this

  • @MrRice-rt3xj
    @MrRice-rt3xj Жыл бұрын

    Can you show the full code of the zonal stats?

  • @ej_entertain

    @ej_entertain

    4 ай бұрын

    //Zonal statistics var rainfall_kumasi = monthlyCol.map(function(img) { var features = roi.map(function(f) {return f.set('month', img.get('month'), 'year', img.get('year'))}) var proj = ee.Image(monthlyCol.first()).projection(); return img.reduceRegions(features, ee.Reducer.mean(),1000, proj); }).flatten(); print('Rainfall Summary Mean', rainfall_kumasi.limit(10));

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