Predict Future Land Cover in Google Earth Engine

[@uniquegeofacts0014]

Rahul here ! Great work sir

[@derejebiru7257]

Thanks for such a contribution to Users!!!

[@boubacarley-balladiallo1659]

Thank you so much for the code. I was looking for this since one month now. God bless you. Tabarak'Allah 🎉❤🎉❤ A Jaaraama 🎉❤

[@alemayehumullatuadashio5350]

Thank you very much! your tutorials are very interesting and helped me a lot.

[@MachineLearning-m6s]

Really great video, thanks for sharing. Could you please help me understand how you've created the Assets you're using in this video? I'm trying to create this for my ROI but I simply can't do it

[@ramiqcom]

You need to create land cover. Read this this developers.google.com/earth-engine/guides/classification

[@MachineLearning-m6s]

@@ramiqcom Thx!!

[@iqbalputra151]

Terima kasih videonya, sangat membantu. Mau tanya, kalo variabel prediksinya ditambah apakah script yg ada hanya perlu diganti jenis parameternya atau menggunakan script yg baru ya?

[@ramiqcom]

Bisa ganti saja parameternya

[@IAKhan-km4ph]

Very nice. Thank you so much

[@ramiqcom]

Try it again, I just open it

[@IAKhan-km4ph]

@@ramiqcom Amazing

[@harisimran3054]

Thanks for the very useful video. I followed this code, but my predicted results are the same. Can you tell me what I am missing? my years are 2014-2024 and my prediction year is 2030.

[@ramiqcom]

This code has many flaws. I think I need to revise it in the future.

[@rimumia4773]

When i am trying to add any type of variables like DEM, Distance to road the accuracy reached to 1. But the predicted results looks not good. But if i do not use the variables the accuracy looks good. Why is this happening? What is the solution? Please

[@ramiqcom]

then it is overfitting. make sure the sample of each class is the same amount

[@smurfk7678]

Thanks for such a nice explanation can you please tell me how it will be possible to predict lulc from year 2024 to 2040?

[@ramiqcom]

Hmm I think it possible but I never tried this longer timeframe

[@DwiPrabowo-n6t]

Thanks a lots, very useful. however you only used elevation as a driver. Can we add more drivers on your model such as road, land protection etc?

[@ramiqcom]

Sure

[@luthfiinsan4823]

in the video you used the srtm (elevation) and the LU change map for the driving factor, can we add another driving factor? whether the data must be in TIF form?

[@ramiqcom]

Yes you can and it have to be a raster data

[@gisforforestry2336]

thanks sir for this effort but there is a error in this script there is no change the changemap still the same as 1919 map

[@ramiqcom]

what is 1919 map?

[@gisforforestry2336]

@@ramiqcom 2019 sory

[@abdukhatir7187]

Thanks for the helpful tutorial... can you use Markove-Cellular Automata model in GEE to predict future land cover?

[@ramiqcom]

Idk man

[@DEHMIT]

how i can do this for other area?

[@ziming7548]

Hello, can I add more land cover data in historical and predict the LULC of future years like 2050 or even 2100?

[@ramiqcom]

probably

[@Zizi-mt9bv]

Thank you very muc sir

[@TheWawanhn]

Thank you

[@studymindphd]

i imported lulc maps and run the code. i have two errors. my lulc years file showing black and list index error is coming while generating chart

[@ramiqcom]

Rename the band first to follow the dictionary band. Adjust the list of class values, label, and legend

[@nizarelharrouni2351]

Hi is there any other way to predict for exemple the built up area using other data such as excels containing the numbers of habitants in a certain zone or slope or any other data that may help because i ve seen a plugin in qgis named molusce . And would u be able to do a video about fire risk prediction spatially and through time with gee and using deep learning or at least just let me know if it is doable thank you for your time and great videos.

[@ramiqcom]

You asking a lot. Please rephrase your words to a more understandable reply.

[@nizarelharrouni2351]

For sure My first question is : is there a way to make the prediction better adding data about the number of habitants for examples to predict the urban growth My second question is is it possible to make a fire risk map or prediction through time and space using deeplearnin or any other method and have you ever done it Thank you

[@ramiqcom]

@@nizarelharrouni2351 number of habitant? yes It possible, I dont know how tho

[@deus.tmuchetu983]

Thanks much Sir, can i use this same code for landsat 8

[@MaherMohaisen-pz9pj]

They images was already classified or you classified them using google earth engine?

[@ramiqcom]

Already classified

[@rajanihiwrale]

Hello sir ..i really wanted to talk regarding my thesis topic

[@sinchanathcve20b94]

How to use for different location

[@ramiqcom]

Upload your own land cover image to the asset

[@irland128]

Izin bertanya, untuk merubah tahun prediksi-nya ada di line berapa yah?terimakasih (pada contoh ini 3 tahun, sy mau merubah jadi prediksi 10 tahun)

[@ramiqcom]

Hmm kekny scriptny mesti diubah deh kl mau 10 tahun. Datanya jg

[@irland128]

@@ramiqcom makasih infonya ka🙏,klo modifikasi scriptnya dibikin video,saya tunggu sekali,terimakasij

[@ArunikaShines]

thank you for this video tutorial, because i'm a beginner, where to get assets lulc other city?

[@ramiqcom]

Hmm idk actually, I made it myself

[@planoareaid]

which code that I have to change if I wanna do the same prediction to another region?

[@ramiqcom]

Change the geometry

[@vipham5691]

where can i change it? @@ramiqcom

[@muhammadarigiadityarahman8404]

umm i got 0.99 acc using my own lulc datasets, should i be worried?

[@ramiqcom]

Yeah it was too good, make sure it is not overfitted.

[@izzudinmuhammad5782]

does this have an accuracy or prediction number

[@ramiqcom]

Have you watch the video?

[@nguyenthanh-x9u]

Video is great with. Hope you can analyze and forecast chlorophyll_a in the next videos.

[@ramiqcom]

Noted

[@muhammadmasudtarek7397]

I can't understand most of the words. May be my fault.

[@ramiqcom]

Dont worry. I dont understand it either :D sometime haha