Google Earth Engine with Amirhossein Ahrari
Google Earth Engine with Amirhossein Ahrari
  • Видео 70
  • Просмотров 77 225

Видео

Google Earth Engine Tutorial-69: Volcano Monitoring using Sentinel-5 Images
Просмотров 1947 часов назад
code link: github.com/AmirhosseinAhrari/GoogleEarthEngine/blob/2f3276effbd95af00334dca297f81cc0b51d523a/00066_volcano_sulfure
Google Earth Engine Tutorial-68: 70-Years Snowy Days Monitoring
Просмотров 25021 час назад
code link: github.com/AmirhosseinAhrari/GoogleEarthEngine/blob/a3e363438a095f03f503323a47b7208dd8a84144/00065_snow_collection
Google Earth Engine Tutorial-67: Climate Data Classification, using Machine Learning Techniques
Просмотров 741День назад
code link: github.com/AmirhosseinAhrari/GoogleEarthEngine/blob/a2c132bf878df1f362822128f3371d1d7fca4007/00064_climate_classification
Google Earth Engine Tutorial-66: ERA-5 Temperature Downscaling, using Machine Learning Technique
Просмотров 52614 дней назад
code link: github.com/AmirhosseinAhrari/GoogleEarthEngine/blob/f656ee73449ca4a41ef825f56a56386fee1d04de/00063_era5_downscaling
Google Earth Engine Tutorial-65: Crop Type Detection using Multi-Temporal SAR Images
Просмотров 89714 дней назад
code link: github.com/AmirhosseinAhrari/GoogleEarthEngine/blob/32be9f9cf1d5a9da45ed33ce117a87bc112bc4dd/00062_sentinel1_croptype
Google Earth Engine Tutorial-64: Soil Moisture Estimation using Sentinel-1
Просмотров 1,1 тыс.21 день назад
code link: github.com/AmirhosseinAhrari/GoogleEarthEngine/blob/9d92287bf1eee238d86244f989ef3dfb5218aac3/00061_sen1_soil_moisture
Google Earth Engine Tutorial-63: Urban Flood Detection, using SAR and Precipitation Data
Просмотров 1,2 тыс.28 дней назад
code link: github.com/AmirhosseinAhrari/GoogleEarthEngine/blob/5e4d7bfac64ab7609c1b4b536e4115d01bc1efae/00060_urban_flood
Google Earth Engine Tutorial-62: Drought Temporal Classification, using SPEI
Просмотров 68828 дней назад
code link: github.com/AmirhosseinAhrari/GoogleEarthEngine/blob/e9737c021426fac5d06502254c989e3fc693ce25/00059_spei_classification
Google Earth Engine Tutorial-61: Landcover Downscaling, using Machine Learning
Просмотров 1,2 тыс.Месяц назад
code link: github.com/AmirhosseinAhrari/GoogleEarthEngine/blob/2ab0eb848d5d66feab515ea3616826d11165f8fc/00058_modis_landcover_downscaling
Google Earth Engine Tutorial-60: Biomass Prediction, using Machine Learning
Просмотров 1,7 тыс.Месяц назад
code link: github.com/AmirhosseinAhrari/GoogleEarthEngine/blob/afb67ab044886bd187f13d2134078f9e2c537b3a/00057_biomass_prediction
Google Earth Engine Tutorial-59: GRACE Data Downscaling, using Machine Learning Techniques
Просмотров 837Месяц назад
code link: github.com/AmirhosseinAhrari/GoogleEarthEngine/blob/bb3d3f040d72deabe8f19454c5e3fca7b8adb1ec/00056_grace_downscaling
Google Earth Engine Tutorial-58: Soil Moisture Downscaling, using Machine Learning Techniques
Просмотров 1,1 тыс.Месяц назад
code link: github.com/AmirhosseinAhrari/GoogleEarthEngine/blob/b2fa5aeceb654e63eebac763e1aa7a461b75f81c/00055_soilmoisture_downscaling
Google Earth Engine Tutorial-57: Precipitation Downscaling, using Machine Learning Techniques
Просмотров 2,1 тыс.Месяц назад
code link: github.com/AmirhosseinAhrari/GoogleEarthEngine/blob/29a75e312054e2faf8311372b2aa17fc6908f0e3/00054_precipitation_downscaling
Google Earth Engine Tutorial-56: Snow Duration Estimation, using MODIS Snow Product
Просмотров 359Месяц назад
code link: github.com/AmirhosseinAhrari/GoogleEarthEngine/blob/d69af970bdc6efacef4ac9f16332c3eec8187fc3/00053_modis_snow_duration
Google Earth Engine Tutorial-55: Vegetation Moisture Content, using Landsat Images
Просмотров 715Месяц назад
Google Earth Engine Tutorial-55: Vegetation Moisture Content, using Landsat Images
Google Earth Engine Tutorial-54: Earth Engine Learning Resources
Просмотров 518Месяц назад
Google Earth Engine Tutorial-54: Earth Engine Learning Resources
Google Earth Engine Tutorial-53: Wildfire Detection and Mapping, using VIIRS and Landsat
Просмотров 1,2 тыс.2 месяца назад
Google Earth Engine Tutorial-53: Wildfire Detection and Mapping, using VIIRS and Landsat
Google Earth Engine Tutorial-52: Crop Type Detection, using NDVI
Просмотров 1,9 тыс.2 месяца назад
Google Earth Engine Tutorial-52: Crop Type Detection, using NDVI
Google Earth Engine Tutorial-51: Deforestation Monitoring, using Sentinel-2 Images
Просмотров 1,1 тыс.2 месяца назад
Google Earth Engine Tutorial-51: Deforestation Monitoring, using Sentinel-2 Images
Google Earth Engine Tutorial-50: Urban Green Space Monitoring, using Sentinel-2
Просмотров 8822 месяца назад
Google Earth Engine Tutorial-50: Urban Green Space Monitoring, using Sentinel-2
Google Earth Engine Tutorial-49: MODIS LST Downscaling, From 1000 to 100m
Просмотров 1,2 тыс.2 месяца назад
Google Earth Engine Tutorial-49: MODIS LST Downscaling, From 1000 to 100m
Google Earth Engine Tutorial-48: Methane (CH4) Mapping and Monitoring using Sentinel-5 Images
Просмотров 1 тыс.2 месяца назад
Google Earth Engine Tutorial-48: Methane (CH4) Mapping and Monitoring using Sentinel-5 Images
Google Earth Engine Tutorial-47: MODIS NDVI Downscaling, from 500m to 30m
Просмотров 1,2 тыс.2 месяца назад
Google Earth Engine Tutorial-47: MODIS NDVI Downscaling, from 500m to 30m
Google Earth Engine Tutorial-46: Carbon Monoxide Monitoring over Urban Area
Просмотров 1,1 тыс.3 месяца назад
Google Earth Engine Tutorial-46: Carbon Monoxide Monitoring over Urban Area
Google Earth Engine Tutorial-45: Sentinel-3 NDVI Estimation using Maximum Value Composite Method
Просмотров 6863 месяца назад
Google Earth Engine Tutorial-45: Sentinel-3 NDVI Estimation using Maximum Value Composite Method
Google Earth Engine Tutorial-44: Daily NDVI Time Series Smoothing
Просмотров 8003 месяца назад
Google Earth Engine Tutorial-44: Daily NDVI Time Series Smoothing
Google Earth Engine Tutorial-43: Snow Parameters Monitoring, using ERA-5 Product
Просмотров 5283 месяца назад
Google Earth Engine Tutorial-43: Snow Parameters Monitoring, using ERA-5 Product
Google Earth Engine Tutorial-42: Precipitation Spatial Clustering
Просмотров 1 тыс.3 месяца назад
Google Earth Engine Tutorial-42: Precipitation Spatial Clustering
Google Earth Engine Tutorial-41: Urban Heat Island Detection in Arid Region, using MODIS LST Night
Просмотров 7913 месяца назад
Google Earth Engine Tutorial-41: Urban Heat Island Detection in Arid Region, using MODIS LST Night

Комментарии

  • @amnaali1385
    @amnaali1385 12 часов назад

    Thank you, your lessons are very useful and valuable

  • @Kouameengineer
    @Kouameengineer 18 часов назад

    Hello. How export the result please.

  • @YasminRashid-oh4tu
    @YasminRashid-oh4tu 3 дня назад

    Sir which is more accurate using the SMAP or sentinel 1

  • @aqibhussain3147
    @aqibhussain3147 3 дня назад

    I am very happy to see this tutorial as my phd topic is Soil moisture retrieval using microwave RS. It help me a lot... Thank you so much for this wonderful tutorial.😊😊😊❤❤

    • @amirhosseinahrarigee
      @amirhosseinahrarigee День назад

      happy to hear. hope it works for you. keep follwing and share the channel with your community.

  • @smurfk7678
    @smurfk7678 3 дня назад

    Sir! GRACE data spatial resolution is 1* X 1* then it will cover how much area? As GLDAS data of 0.25 degree into .25 degree resolution i want to use. But i don't know how to resample the data set as i want do in python but the think is that i resampled the data upto 0.025 into 0.025 degree grid to do grid based analysis is it fine. And if so then how much area is cover by GRACE pre sampling and post sampling, on the same side that about GLDAS dataset? If i resample the data upto 0.5 into 0.5 degree grid size then it will cover how much area?

  • @paulb5044
    @paulb5044 4 дня назад

    Hello Amir...Thank you for sharing the amazing tutorial. I have a question for you. In the time 24:11 min, when you show the bands : List (19 elements) I have from the 12 elements, but only some months has the list (19 elements) while others I do not have it. What could be the implication for having or not the 19 elements?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee День назад

      HI, thanks for the comment. the difference is because of region of interest, cloud filter I think.

  • @zahiri1983
    @zahiri1983 5 дней назад

    Good job Amirhossein, could CART or Randomforest be used instead of linear regression method?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee День назад

      thanks for the comment. couldn't find a method for this question for now. maybe in future. keep following please. you will receive notification, in case such tutorial published.

  • @YasminRashid-oh4tu
    @YasminRashid-oh4tu 5 дней назад

    Can we use mean instead of mode?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee День назад

      For landcover no it is impossible. technically yes, but conceptually not true. because turns the landcover value from integer to float.

  • @munnalahore
    @munnalahore 6 дней назад

    thank you for tutorial. Do sentinel-1 dataset (S1_GRD) in GEE need any pre-processing steps like radiometric correction, geometric correction........?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee День назад

      no need any preprocessing steps. s1 data completely corrected radiometrically and geometrically but speckle impacts.

  • @ahmedabdallahadam1951
    @ahmedabdallahadam1951 6 дней назад

    Thank you for the Amazing job you are doing, if you don't mind would you make a Video about Climate scenarios like (RCPs) ..etc.

    • @amirhosseinahrarigee
      @amirhosseinahrarigee День назад

      thanks for the nice feedback. unfortunately GEE is not suitable for such models to my knowledge.

  • @HabibaELALAMI-k8l
    @HabibaELALAMI-k8l 7 дней назад

    Thank you for this tutorial, it's very helpful. please add code for analyzing urban growth and correlating with NO2 mean.

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 7 дней назад

      Thanks for the comment and suggestion. will share in near future. keep following and share the channel with your community please.

  • @IAKhan-km4ph
    @IAKhan-km4ph 7 дней назад

    Zabardast means brilliantly done.

  • @IAKhan-km4ph
    @IAKhan-km4ph 8 дней назад

    Thank you so much

  • @IAKhan-km4ph
    @IAKhan-km4ph 8 дней назад

    Very nice. Plz add for LST and its monthly time series.

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 8 дней назад

      Thanks for the comment. check this out: ruclips.net/video/JLFcyTt-das/видео.html

  • @Ramilacookware
    @Ramilacookware 9 дней назад

    ❤❤❤ hello too Mr ahrari🎉

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 8 дней назад

      Hi, thanks for your feedback. please share the content and tutorials with your community.

  • @mohammeda3812
    @mohammeda3812 10 дней назад

    Thank you, Amir! You're doing an excellent job. I hope you'll continue your focus on climate-related analysis. I have a question for you: would it be possible for you to provide a tutorial on predicting droughts for the coming years? That would be incredibly helpful.

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 8 дней назад

      thanks for nice feedback. will try to share more information. working on prediction methods, will share as soon as I find a reliable method. keep following and share the tutorials with your community.

  • @user-os4fi8ub5y
    @user-os4fi8ub5y 10 дней назад

    thanks for the informative tutorial. may I use Landsat images instead of SAR images

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 8 дней назад

      Yes, I have a tutorial about optical satellite imagery for this propose: ruclips.net/video/am-5y0VWI9I/видео.html

  • @el-houssainebahouar4269
    @el-houssainebahouar4269 10 дней назад

    Thank you very much for this very explicit and educational video, I learned a lot from you. I don't know if you can share the link to the reference document you used to calculate VCI (seven classes).

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 8 дней назад

      thanks for the comment. These are well-established methods. You will find several papers about VCI and related indices, if you search it on google scholar.

  • @Ramilacookware
    @Ramilacookware 10 дней назад

    لطفا درباره محصولات کشاورزی و موضوعات کشاورزی در سنجش از راه دور بپردازید.

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 8 дней назад

      آموزش های متعدد تا کنون در این رابطه تولید کردم. بازهم منتشر خواهد شد. فعلا آموزش های کشاورزی رو از طریق این پلی لیست دریافت کنید ruclips.net/p/PLMFUNkj5z2c5w_9f7CklGb9Y8f35EQmYq

  • @Ramilacookware
    @Ramilacookware 10 дней назад

    دکتر احراری ، متشکریم متشکریم

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 8 дней назад

      ممنون از شما. لطفا آموزش ها رو با کاربران و علاقه مدان سنجش از دور به اشتراک بزارید.

    • @Ramilacookware
      @Ramilacookware 6 дней назад

      @@amirhosseinahrarigee سلام یه سوال چطور میشه میوه سیب گندم یا غیره دتکت کرد با هیستوگرام و چارت بای ریجن انجام بدم ؟

  • @utsavpoudel7034
    @utsavpoudel7034 11 дней назад

    I wanted to send the code link of my gee but my comment disappears every time I add the link. I had an error on the code. //Load Area of Nepal var country = ee.FeatureCollection("USDOS/LSIB/2017") var table = country.filter(ee.Filter.eq("COUNTRY_NA","Nepal")) Map.centerObject(table, 6) //Load NASADEM var image = ee.Image("NASA/NASADEM_HGT/001") var elevation = image.select('elevation') Map.addLayer(elevation.clip(table),{},'Elevation') //Elevation above 3600m var elev3600 = elevation.gt(3600) Map.addLayer(elev3600.clip(table).updateMask(elev3600),{},'Elevation3600') //Load Sentinel-2a data and filter by date and region var sentinel2 = ee.ImageCollection("COPERNICUS/S2_SR_HARMONIZED") .filterDate('2022-01-01','2022-12-30') .map(function(img){ var bands = img.select('B.*') var ndwi = bands.normalizedDifference(['B3','B8']).rename('ndwi') var ndwielev3600 = ndwi.updateMask(elev3600) .reproject({ crs: 'EPSG:4326', scale: 500 // Downsample to 500 meters }); return ndwielev3600.copyProperties(img, img.propertyNames()) }) Map.addLayer(sentinel2,{},'Sentinel-2a') // Import OEEL library var oeel=require('users/OEEL/lib:loadAllSF') // Apply Otsu Threshold var otsu = sentinel2.map(function(image) { return oeel.ImageCollection.OtsuThreshold(ee.ImageCollection([image]), 'ndwi'); }).mosaic(); // Combine the thresholded images print(otsu) print( ui.Chart.image.histogram(otsu,table,500) ) var thr = ee.Number(otsu.reduce(ee.Reducer.mean()).reduceRegion({ reducer: ee.Reducer.mean(), geometry:table, scale:500 }).values().get(0)); print ('water body threshold', thr) var water = sentinel2.mean().gt(thr) // Apply threshold to the mean NDWI image Map.addLayer(water.updateMask(water), {palette: 'blue'}, 'Water Bodies')

  • @utsavpoudel7034
    @utsavpoudel7034 11 дней назад

    Can you make video on susceptibility mapping of hazards like landslide, flood etc using machine learning ?

  • @gizawyod
    @gizawyod 11 дней назад

    Dear Amirhoussien, Can we use GEE for climate prediction?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 11 дней назад

      to my knowledge, running the climate model prediction is impossible for now. will share in case I find sustained methods in GEE.

    • @Ramilacookware
      @Ramilacookware 10 дней назад

      Yes , you must jupyter note book and use package library in colab gee or leafmap

  • @derejeayalew715
    @derejeayalew715 11 дней назад

    Thank you very much for your timely and practical topics. Sir, is it possible to perform precipitation downscaling on 30 years of historical precipitation data? Im want to use it for validation of other models.

  • @user-eu6ii9ju4q
    @user-eu6ii9ju4q 12 дней назад

    Great work......will it be possible for you perform MODIS LST Downscaling From 1 Km to 10m on GEE?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 11 дней назад

      Thanks for the comment. no idea for now. will share in case I find a solution.

  • @AwaisSajid2001
    @AwaisSajid2001 12 дней назад

    Impressive tutorial. One thing I did not understand is how I can classify different type of crops using this method. The thing I learned is I can only map one crop which is reflecting most energy back, which is showing in red color. My question is How can I map all different crops?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 11 дней назад

      The most accurate method for crop classification is having crop calendar or samples from each crop. Due to the lack of these data, I only showed the growing differences between crops that is the main input for crop classification. This is the best way to show all the existing crops for your regions of interest.

  • @mahamarif5379
    @mahamarif5379 12 дней назад

    HELLO.... I need to see the changings in coastline by the effect of tidal waves

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 11 дней назад

      Hi, check these dataset in google earth engine: developers.google.com/earth-engine/datasets/tags/tidal-flats

  • @space-time-somdeep
    @space-time-somdeep 12 дней назад

    Love this.. ❤

  • @user-oy9us3ns7l
    @user-oy9us3ns7l 14 дней назад

    سلام دکتر احراری خسته نباشید ممنون از اموزش فوق کاربردی شما . جناب دکتر شما ایده ای برای فرونشست داخل ارث انجین دارید ؟ میشه ویدیویی برای این مورد درست کنید

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 12 дней назад

      با سلام و احترام نه متاسفانه فعلا راهکار مناسبی در این زمینه ندارم. با عرض پوزش

  • @Mohammed.M.Abdulahi
    @Mohammed.M.Abdulahi 14 дней назад

    Thank you so much for this fantastic tutorial on ERA-5 Temperature Downscaling using Machine Learning Techniques! Your clear explanations and step-by-step approach made the complex process easy to understand and implement. I've learned a lot, and I appreciate your effort in creating such informative content. Keep up the great work!

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 12 дней назад

      Thanks for nice feedback. will try to make more. Please share the tutorials with your community.

  • @virasithphomsouvanh965
    @virasithphomsouvanh965 14 дней назад

    this process can do with rainfall downscaling by ERA-5 data?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      Yes, it is extendable to other bands, in case their higher resolution data is available.

  • @ahmedabdallahadam1951
    @ahmedabdallahadam1951 15 дней назад

    Can you plz put the reference of methodology so that we can noted for publication

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      Most of the methodologies back to the typical methods and roles in machine learning and I create them according to my ideas. will share the references, in case I have used a paper.

  • @Ramilacookware
    @Ramilacookware 15 дней назад

    لطفا درباره آتشفشان، آتش سوزی جنگل NBR , بیوماس هم توضیح بدید . منم الان درباره آلودگی صوتی دارم یک مقاله میدم مجبورم با دستگاه نمونه برداری کنم نظر شما چیه جناب دکتر احراری ؟ بعضی جاها ۶۰ دسی بل و بعضی جاها ۸۰ دسی بل هست به نظر شما مقیاس آلودگی صوتی درست هست یا باید دوباره کالیبره کنم تا دقت بالا بره؟

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 15 дней назад

      @@Ramilacookware سلام مدل سازی بیومس و آتش سوزی جنگل داخل ویدیوهای کانال هست

  • @SaraMohammadi-m6t
    @SaraMohammadi-m6t 15 дней назад

    با تشکر از توضیحاتتون اگر بخواهیم برای یک بازه زمانی مشخص lst time series را محاسبه کنیم امکان دارد که به انتهای این کد اضافه شود؟

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      بله قابل استفاده هست چون ریز مقياس سازی بصورت سری زمانی انجام شده. موفق باشید

  • @Zaabitaehayaat
    @Zaabitaehayaat 16 дней назад

    Thank you for the comprehensive and insightful information provided. Your explanations have been extremely helpful.

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      Thanks for the nice feedback. please share the tutorials with your community.

  • @luodengnan6355
    @luodengnan6355 17 дней назад

    Thanks!!!!

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      welcome and thanks for the feedback. please share the videos with your community.

  • @hamdourabywane2888
    @hamdourabywane2888 17 дней назад

    THANK YOU SO MUCH AMIRHOSSEIN AHRARI. FIRST TIME IN A DECADE THAT I WATCHED A TUTORIAL IN FULL LENGTH TO CATCH UP WITH A TOOL. VERY WELL ARTICULATED AND PRESENTED. CAN ONE ACCESS A TRANSCRIPT?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      Thanks for your nice feedback. will do my best to empower remote sensing community about dealing with earth engine. All explanations are my own and didn't prepare transcripts in advance.

    • @hamdourabywane2888
      @hamdourabywane2888 14 дней назад

      @@amirhosseinahrarigee thank you for the reply. I'll stay tuned!

  • @saitmutlukarahan7870
    @saitmutlukarahan7870 17 дней назад

    First of all, I would like to thank you for sharing these kinds of videos on your RUclips channel. I would like to ask 2 questions to you: 1) First how we can just detect the groundwater information by downscaling the GRACE Data. After downscaling the GRACE data, should we subtract the downscaled version of snow water equivalent, surface runoff, etc. or do we need to follow another path. 2) The second question is, besides the RandomForest technique, which type of machine learning techniques can we use here?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      Thanks for the comment and will by happy if you share them with your community. Ground water information extraction is a little complex and out of my knowledge now. will share its methodology, in case I find it. In edition to random forest, there are couple of methods in GEE such as cart, minimum distance, gradient boost that working as a regression technique too.

    • @saitmutlukarahan7870
      @saitmutlukarahan7870 14 дней назад

      @@amirhosseinahrarigee Thank you for your enlightening comment and reply!

  • @Ramilacookware
    @Ramilacookware 18 дней назад

    Yet I work on noise pollution 🙏 , فکر کنم خودم یک کد درباره میوه گندم جو دیتکشن انواع محصولات نوشتم براتون میفرستم

  • @Thatgirlinkorea
    @Thatgirlinkorea 19 дней назад

    How to download the final result in geo tiff?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      check this link: developers.google.com/earth-engine/apidocs/export-image-todrive

  • @mortezaparhizkar1600
    @mortezaparhizkar1600 19 дней назад

    تشکر 😊😊😊

  • @sadman8426
    @sadman8426 19 дней назад

    Very informative. ❤ Can you make a video on crop yields prediction?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      thanks for the feedback. will try to make, in case I have a suitable reference for.

  • @gobajoseph5064
    @gobajoseph5064 19 дней назад

    Thanks you for all. Please make vidéo on ui app in Gee

  • @myshitzuchannel3071
    @myshitzuchannel3071 19 дней назад

    Very nice video. Thanks for sharing. I have one question. The image is saved as single geotif file in the drive with different bands how to get image for each month

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      The geotiff included monthly data. Unfortunately I have no idea about getting the data separately through a loop.

  • @Ramilacookware
    @Ramilacookware 20 дней назад

    ❤❤❤ please

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      check this tutorial: ruclips.net/video/E3N88gVQN2c/видео.html

    • @Ramilacookware
      @Ramilacookware 14 дней назад

      @@amirhosseinahrarigee سپاسگزارم بابت کمکتون و وقت گران بهاتون‌. ❤❤❤🙏🙏

  • @user-eu6ii9ju4q
    @user-eu6ii9ju4q 21 день назад

    great work....what if the threshold values is a range within the adjusted histogram .....

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      put the otsu function in a loop to get the threshold for each time

  • @Ramilacookware
    @Ramilacookware 22 дня назад

    Could you upload vedio about NBR fire detection?❤❤❤❤

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      already is created on my channel, please check it out: ruclips.net/video/E3N88gVQN2c/видео.html

  • @sepideaghaei9549
    @sepideaghaei9549 22 дня назад

    Thanks, Mr. Ahrari. Is it possible to calculate the snow area with respect to ellevation? Is it possible to mask a covered area by the intended elevation according to the SRTM map?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      Yes, first you must mask out non-related elevations from snow cover map.

  • @THALLAMPRASHANTH
    @THALLAMPRASHANTH 23 дня назад

    Sir you are using 55 km spatial resolution data for training by using FLDAS datasets 10 km spatial resolution. If we consider 1 pixel of grace data contains 5 pixels of FLDAS. In training, you are using same 1 pixel value from GRACE for all those 5 FLDAS pixels. If we develop the model like this it will go for over estimation. what do you think sir??

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      Recently tried to solve this issue by resampling process, but haven't seen any progress in the results. Still I am working on these methods. I will update the tutorials in future, in case I have update.

  • @THALLAMPRASHANTH
    @THALLAMPRASHANTH 23 дня назад

    Sir have you written any journal paper related to it. if you have written please provide link

    • @amirhosseinahrarigee
      @amirhosseinahrarigee 14 дней назад

      I have no paper about grace downscaling. Last year I have published a paper about soil moisture downscaling using the same method but different data: www.tandfonline.com/doi/pdf/10.1080/20964471.2023.2257905