![GeoDev](/img/default-banner.jpg)
- 186
- 1 525 924
GeoDev
Canada
Приєднався 8 лис 2017
Are you interested to know about the recent trends in geospatial technology? If yes, you need to subscribe to my channel. In this channel, I will continuously upload geospatial and geoscience-related tutorials. Most of the videos are about core technical stuff and some of them are about the scientific background. Some of the core domains of this channel are as below,
1. Web-GIS
2. Geospatial programming (Python, JavaScript, Geoserver, Open-Source, PHP, HTML, CSS)
3. Hydrology and watershed
4. ArcGIS, QGIS, QGIS pro
5. Geospatial Deep Learning
6. Remote sensing analysis using satellite imagery
7. Database
This channel will help you to grow your knowledge of spatial techniques as well as GIS and remote sensing. Do subscribe to my channel and turn on notifications to know about my latest upload.
Who am I?
I am Tek Kshetri, Geoscience researcher. I am currently studying/working at the University of Calgary, Alberta, Canada.
1. Web-GIS
2. Geospatial programming (Python, JavaScript, Geoserver, Open-Source, PHP, HTML, CSS)
3. Hydrology and watershed
4. ArcGIS, QGIS, QGIS pro
5. Geospatial Deep Learning
6. Remote sensing analysis using satellite imagery
7. Database
This channel will help you to grow your knowledge of spatial techniques as well as GIS and remote sensing. Do subscribe to my channel and turn on notifications to know about my latest upload.
Who am I?
I am Tek Kshetri, Geoscience researcher. I am currently studying/working at the University of Calgary, Alberta, Canada.
Glacier Velocity Mapping Using Sentinel 2 Imagery | GitHub Actions
Join this channel to get access to the perks:
ua-cam.com/channels/CV3Wo1EDp--JZTwf0TcFpg.htmljoin
Code repo: github.com/iamtekson/SciPy2024-GitHubActionsTutorial
InSAR processing using AutoRIFT tutorial: github.com/iamtekson/Geo-SInC/blob/main/EarthScope2023/4.3_Offset_stack_for_velocity_dynamics_with_autoRIFT/autorift.ipynb
Timestamps:
0:00 Intro
1:25 Theory and methodology
6:22 Python script for methodology
13:30 GitHub actions yml file
19:28 Download and visualize the results
#glaciervelocity #sentinel2 #autorift
----------------------------------------------------------------------------------------
Here are some playlists that you might be interested in:
----------------------------------------------------------------------------------------
- End to End deep learning using GEE dataset: ua-cam.com/play/PLyWyQBSWLw1NKHAzW9WI2_9Sga52_rvMt.html
- Deep Learning for Satellite Imagery: ua-cam.com/play/PLyWyQBSWLw1MGjBAFaO62JMacKHT6_lvs.html
- Machine learning from the basic: ua-cam.com/play/PLyWyQBSWLw1OFQepDgqap9dOSlF_pvOp8.html
- Historical Imagery Processing: ua-cam.com/play/PLyWyQBSWLw1PBhi9ywkotd_gz2lXFyvSG.html
- Leaflet from basic to advance: ua-cam.com/play/PLyWyQBSWLw1NH1wsA0wkSMTlQ45P0AqCj.html
- GeoServer with leaflet web-GIS: ua-cam.com/play/PLyWyQBSWLw1OS7HojnpX6aogfm7LtF39S.html
- GeoDjango project: ua-cam.com/play/PLyWyQBSWLw1OUfqcPzO6AceuGpC5gr-_n.html
- geoserver-rest: ua-cam.com/play/PLyWyQBSWLw1NQJhO0Stf9Wsadm3xh0psF.html
- GIS training in Nepali: ua-cam.com/play/PLyWyQBSWLw1OFygrHN_uSHExoPG12lfwZ.html
- LULC map production: ua-cam.com/play/PLyWyQBSWLw1PdIQ9ZN6YvfgKrhO9Ub7HI.html
- Geospatial analysis with python: ua-cam.com/play/PLyWyQBSWLw1OF3RGVWToPkqe_pfx4TcPW.html
- GeoNode from basic to advance: ua-cam.com/play/PLyWyQBSWLw1Nrc-JDMr6_OEbF4h2hCxPL.html
--------------------------------------------------------------------------------------------------------------
Check out my discounted courses at the following link:
--------------------------------------------------------------------------------------------------------------
1. "Geospatial data analysis with python": www.udemy.com/course/geospatial-data-analysis-with-python/?referralCode=5B58238C5392672D17B7
2. "Web GIS Development 2021": www.udemy.com/course/web-gis-development-2021/?referralCode=488F271341990F62FD05
3. "Web mapping and Web-GIS from Dev to Deploy 2021: GeoDjango": www.udemy.com/course/web-mapping-and-web-gis-from-dev-to-deploy-2021-geodjango/?couponCode=WEBGIS2
4. "Introduction to Web Mapping and Web GIS 2020: GeoDjango": www.udemy.com/course/introduction-to-web-mapping-and-web-gis-2020-geodjango/?couponCode=WEBGIS2
5. Deep Learning Application for Earth Observation: www.udemy.com/course/deep-learning-application-for-earth-observation/?referralCode=B4655A8A918826871A40
6. Geospatial Data Analysis with Python: www.udemy.com/course/geospatial-data-analysis-with-python/?referralCode=5B58238C5392672D17B7
---------------------------------------------------------------------------------------------------
Follow me on GitHub: github.com/iamtekson
Follow me on Twitter: iamtekson
Follow me on Instagram: iamtekson
Join Facebook group: groups/1049524025731229
-----------------------------------------------------------------------------------------------------
ua-cam.com/channels/CV3Wo1EDp--JZTwf0TcFpg.htmljoin
Code repo: github.com/iamtekson/SciPy2024-GitHubActionsTutorial
InSAR processing using AutoRIFT tutorial: github.com/iamtekson/Geo-SInC/blob/main/EarthScope2023/4.3_Offset_stack_for_velocity_dynamics_with_autoRIFT/autorift.ipynb
Timestamps:
0:00 Intro
1:25 Theory and methodology
6:22 Python script for methodology
13:30 GitHub actions yml file
19:28 Download and visualize the results
#glaciervelocity #sentinel2 #autorift
----------------------------------------------------------------------------------------
Here are some playlists that you might be interested in:
----------------------------------------------------------------------------------------
- End to End deep learning using GEE dataset: ua-cam.com/play/PLyWyQBSWLw1NKHAzW9WI2_9Sga52_rvMt.html
- Deep Learning for Satellite Imagery: ua-cam.com/play/PLyWyQBSWLw1MGjBAFaO62JMacKHT6_lvs.html
- Machine learning from the basic: ua-cam.com/play/PLyWyQBSWLw1OFQepDgqap9dOSlF_pvOp8.html
- Historical Imagery Processing: ua-cam.com/play/PLyWyQBSWLw1PBhi9ywkotd_gz2lXFyvSG.html
- Leaflet from basic to advance: ua-cam.com/play/PLyWyQBSWLw1NH1wsA0wkSMTlQ45P0AqCj.html
- GeoServer with leaflet web-GIS: ua-cam.com/play/PLyWyQBSWLw1OS7HojnpX6aogfm7LtF39S.html
- GeoDjango project: ua-cam.com/play/PLyWyQBSWLw1OUfqcPzO6AceuGpC5gr-_n.html
- geoserver-rest: ua-cam.com/play/PLyWyQBSWLw1NQJhO0Stf9Wsadm3xh0psF.html
- GIS training in Nepali: ua-cam.com/play/PLyWyQBSWLw1OFygrHN_uSHExoPG12lfwZ.html
- LULC map production: ua-cam.com/play/PLyWyQBSWLw1PdIQ9ZN6YvfgKrhO9Ub7HI.html
- Geospatial analysis with python: ua-cam.com/play/PLyWyQBSWLw1OF3RGVWToPkqe_pfx4TcPW.html
- GeoNode from basic to advance: ua-cam.com/play/PLyWyQBSWLw1Nrc-JDMr6_OEbF4h2hCxPL.html
--------------------------------------------------------------------------------------------------------------
Check out my discounted courses at the following link:
--------------------------------------------------------------------------------------------------------------
1. "Geospatial data analysis with python": www.udemy.com/course/geospatial-data-analysis-with-python/?referralCode=5B58238C5392672D17B7
2. "Web GIS Development 2021": www.udemy.com/course/web-gis-development-2021/?referralCode=488F271341990F62FD05
3. "Web mapping and Web-GIS from Dev to Deploy 2021: GeoDjango": www.udemy.com/course/web-mapping-and-web-gis-from-dev-to-deploy-2021-geodjango/?couponCode=WEBGIS2
4. "Introduction to Web Mapping and Web GIS 2020: GeoDjango": www.udemy.com/course/introduction-to-web-mapping-and-web-gis-2020-geodjango/?couponCode=WEBGIS2
5. Deep Learning Application for Earth Observation: www.udemy.com/course/deep-learning-application-for-earth-observation/?referralCode=B4655A8A918826871A40
6. Geospatial Data Analysis with Python: www.udemy.com/course/geospatial-data-analysis-with-python/?referralCode=5B58238C5392672D17B7
---------------------------------------------------------------------------------------------------
Follow me on GitHub: github.com/iamtekson
Follow me on Twitter: iamtekson
Follow me on Instagram: iamtekson
Join Facebook group: groups/1049524025731229
-----------------------------------------------------------------------------------------------------
Переглядів: 14
Відео
DEM generation using SPOT5 Imagery | Ames Stereo Pipeline (ASP)
Переглядів 24416 годин тому
Join this channel to get access to the perks: ua-cam.com/channels/CV3Wo1EDp JZTwf0TcFpg.htmljoin Script: gist.github.com/iamtekson/44436714614705e7ce98c0d37986efdc Stereo processing guideline: stereopipeline.readthedocs.io/en/latest/examples/spot5.html Here are some playlists that you might be interested in: - End to End deep learning using GEE dataset: ua-cam.com/play/PLyWyQBSWLw1NKHAzW9WI2_9S...
installation of Ames Stereo Pipeline in Windows #part2 | GeoDev
Переглядів 13014 днів тому
Join this channel to get access to the perks: ua-cam.com/channels/CV3Wo1EDp JZTwf0TcFpg.htmljoin ASP github: github.com/NeoGeographyToolkit/StereoPipeline ASP installation guide: stereopipeline.readthedocs.io/en/latest/installation.html #asp #amesstereopipeline #installation Here are some playlists that you might be interested in: - End to End deep learning using GEE dataset: ua-cam.com/play/PL...
Download SPOT5 Satellite Imagery for Free #part1 | GeoDev
Переглядів 58821 день тому
Join this channel to get access to the perks: ua-cam.com/channels/CV3Wo1EDp JZTwf0TcFpg.htmljoin Data Download site: regards.cnes.fr/user/swh/modules/60 Timestamps: 0:00 Intro 2:02 Download SPOT 5 Imagery 6:29 Visualize imagery in ArcGIS Pro #spot5 #satelliteimagery #opensource Here are some playlists that you might be interested in: - End to End deep learning using GEE dataset: ua-cam.com/play...
Multi-Temporal Timeseries Animation | GeeMap | GeoDev
Переглядів 38628 днів тому
Join this channel to get access to the perks: ua-cam.com/channels/CV3Wo1EDp JZTwf0TcFpg.htmljoin GeeMap Github: github.com/gee-community/geemap Tutorial notebook: geemap.org/notebooks/143_precipitation_timelapse/ timestamps: 0:00 Intro 1:37 Installation & Selection of the required dataset 8:01 Simple static map layout generation 9:33 Generate multi-temporal animation #geemap #python #multitempo...
Getting started with GeoAI | GeoDev
Переглядів 758Місяць тому
Join this channel to get access to the perks: ua-cam.com/channels/CV3Wo1EDp JZTwf0TcFpg.htmljoin Deep learning for earth observation Github repo: github.com/iamtekson/deep-learning-for-earth-observation geospatial machine learning Github repo: github.com/iamtekson/geospatial-machine-learning getting started with TensorFlow guideline: developmentseed.org/tensorflow-eo-training-2/docs/Lesson1a_In...
This is why I don't use GDAL | GeoDev
Переглядів 1,4 тис.2 місяці тому
While I don't use GDAL directly, it's important to note that both GeoPandas and Rasterio are built on top of GDAL. This powerful library operates behind the scenes for both tools and is also utilized by many other popular libraries. Join this channel to get access to the perks: ua-cam.com/channels/CV3Wo1EDp JZTwf0TcFpg.htmljoin discounted link for the geospatial data analysis course: www.udemy....
GitHub Copilot For Free | Student, Faculty & Open Source Maintainer | GeoDev
Переглядів 6172 місяці тому
Join this channel to get access to the perks: ua-cam.com/channels/CV3Wo1EDp JZTwf0TcFpg.htmljoin Timestamps: 0:00 Intro 0:37 GitHub Educational account and benefits 3:05 GitHub Copilot in VS code 3:50 Testing GitHub copilot in VS code 6:21 Outro Educational account access: education.github.com/ Guide to get copilot for student: Educational account access: education.github.com/ #githubcopilot #c...
Flood analysis using Optical and SAR dataset | Dubai Flood 2024
Переглядів 9912 місяці тому
Join this channel to get access to the perks: ua-cam.com/channels/CV3Wo1EDp JZTwf0TcFpg.htmljoin Tutorial code: github.com/iamtekson/GEE-tutorial/tree/main/dubai_flood Flood mapping using sentinel1, UN guidline: www.un-spider.org/advisory-support/recommended-practices/recommended-practice-google-earth-engine-flood-mapping/step-by-step Timestamps: 0:00 Intro 0:50 Support me 1:26 Dubai flood intr...
Ultimate Guide To Remove Cloud in Google Earth Engine (GEE) | GeoDev
Переглядів 4552 місяці тому
Tutorial code: github.com/iamtekson/GEE-tutorial Join this channel to get access to the perks: ua-cam.com/channels/CV3Wo1EDp JZTwf0TcFpg.htmljoin Timestamps: 0:00 Intro 0:35 Support me on UA-cam 1:05 About Landsat dataset and bands 3:50 Mask Cloud from Landsat 5 7:58 Solve scan line error in Landsat 7 9:22 Remove cloud from Landsat 8/9 11:54 Mask cloud from sentinel 2 imagery 16:33 Image visual...
Load Geotiff in Leaflet | GeoDev
Переглядів 1,5 тис.3 місяці тому
Tutorial code: github.com/iamtekson/Leaflet-Basic/tree/master/geotiff georaster-layer-for-leaflet plugin: github.com/GeoTIFF/georaster-layer-for-leaflet Timestamps: 0:00 Intro 0:43 GeoDev Channel Analytics 1:08 georaster-layer-for-leaflet plugin initialization 3:15 Load Geotiff file in Leaflet map 7:30 Classified raster visualization 10:35 Add DEM to leaflet map 12:10 Add raster popup (GeoBlaze...
Load GeoJSON, CSV, gpx, wkt, topojson file in Leaflet | Leaflet Omnivore
Переглядів 1,2 тис.4 місяці тому
Join this channel to get access to the perks: ua-cam.com/channels/CV3Wo1EDp JZTwf0TcFpg.htmljoin Tutorial code: github.com/iamtekson/Leaflet-Basic/tree/master/load_vector timestamp: 0:00 intro 0:33 Leafletjs basic setup 1:44 Leaflet Omnivore plugin basic 3:18 Load the geojson file and add a popup 6:11 Add KML (google) file in leaflet 9:51 Load csv file in leaflet 10:51 Load GPX (GPS) file in le...
Share your location App in Leaflet | GeoDev
Переглядів 1 тис.4 місяці тому
Join this channel to get access to the perks: ua-cam.com/channels/CV3Wo1EDp JZTwf0TcFpg.htmljoin Tutorial code: github.com/iamtekson/Leaflet-Basic/tree/master/share_location timestamps: 0:00 Intro 0:36 Leaflet basic setup 1:40 Leaflet hash 3:42 Add a marker on the clicked location 6:37 Add a popup in the marker 10:59 Location share another example 12:22 Add Geolocation button Here are some play...
The Ultimate Guide to Adding and Removing Bands using Python | Rasterio
Переглядів 5764 місяці тому
Source code: github.com/iamtekson/geospatial-data-analysis-python/blob/master/notebooks/06. addband_remove_band.ipynb Rasterio library docs: rasterio.readthedocs.io Timestamps: 0:00 Intro 0:49 Rasterio installation 1:29 Basic raster information (metadata, shape of array) 3:23 Remove bands from imagery 9:21 Adding NDVI band 14:36 Visualize in QGIS Join this channel to get access to the perks: ua...
Edit Geometry in Leaflet | Leaflet-Editable
Переглядів 1,1 тис.4 місяці тому
Leaflet-editable plugin: github.com/Leaflet/Leaflet.Editable source code: github.com/iamtekson/Leaflet-Basic/tree/master timestamps: 0:00 Intro 0:54 Leaflet basic and editable setup 3:32 Edit single feature (geometry) 6:04 Edit GeoJSON data (Multiple features) 12:09 Download edited geojson file 15:54 Explore documentation (More info) #leaflet #editgeometry #drawing Here are some playlists that ...
How to Access High-Res Planet Labs Imagery
Переглядів 4,2 тис.5 місяців тому
How to Access High-Res Planet Labs Imagery
Tuning Hyperparameters using Keras Tuner | Tensorflow | GeoDev
Переглядів 5325 місяців тому
Tuning Hyperparameters using Keras Tuner | Tensorflow | GeoDev
Program execution time in python | GeoDev
Переглядів 2625 місяців тому
Program execution time in python | GeoDev
Flood mapping using Deep Learning | Attention Unet #part4
Переглядів 1,7 тис.5 місяців тому
Flood mapping using Deep Learning | Attention Unet #part4
Take Your Tensorflow Skills to New Heights with Attention Unet
Переглядів 6706 місяців тому
Take Your Tensorflow Skills to New Heights with Attention Unet
Deep Learning Image Data Generator | Tensorflow flood segmentation #part2
Переглядів 1,7 тис.6 місяців тому
Deep Learning Image Data Generator | Tensorflow flood segmentation #part2
Flood mapping using Deep Learning | Image Segmentation Methodology #part1
Переглядів 3 тис.6 місяців тому
Flood mapping using Deep Learning | Image Segmentation Methodology #part1
Python for absolute beginners in 2024 | Python crash course | GeoDev
Переглядів 7766 місяців тому
Python for absolute beginners in 2024 | Python crash course | GeoDev
Raster popup using Leaflet and GeoServer | GeoDev
Переглядів 1,8 тис.6 місяців тому
Raster popup using Leaflet and GeoServer | GeoDev
Download IMERG 30-min Precipitation Dataset in 2024
Переглядів 9477 місяців тому
Download IMERG 30-min Precipitation Dataset in 2024
Discover the power of GeoPandas for interactive map creation and geospatial data analysis
Переглядів 3,6 тис.7 місяців тому
Discover the power of GeoPandas for interactive map creation and geospatial data analysis
Image Enhancement in Remote Sensing using Python
Переглядів 2,4 тис.7 місяців тому
Image Enhancement in Remote Sensing using Python
The Ultimate Guide to Building Detection with Deep Learning in Python
Переглядів 4,5 тис.7 місяців тому
The Ultimate Guide to Building Detection with Deep Learning in Python
I exported 1000 sq. km of imagery in Google Earth Engine (GEE)
Переглядів 1,3 тис.8 місяців тому
I exported 1000 sq. km of imagery in Google Earth Engine (GEE)
End to End Deep Learning with Google Earth Engine (GEE) Dataset #part8 | GeoDev
Переглядів 1,6 тис.8 місяців тому
End to End Deep Learning with Google Earth Engine (GEE) Dataset #part8 | GeoDev
what tools are very important for weather forecasting ?
nice bro can you show us how to forecast or predict weather using LSTM and CNN( Hybrid model) and show us important points to consider in order to successfully achieve the project.
Great Tutorial!!! Congratulations, and of caourse, thanks for not being jealous with your knowledge and thanks for sharing everything you did.
My pleasure! Glad you liked it!
Thanks for the excellent tutorials!
Glad you like them!
Which software are you using ?
I used QGIS for visualization!
How can I control forecast time in future ?
Using the previous days forcast, you can predict future.
have u seen the "clay" foundational model for geospatial analysis? have you tried using it? how about ai assisted flood mapping? there are multiple projects on GitHub. do you recommend any?
thank you for making this tutorial!
You're very welcome!
Is it possible to create a popup, which covers the whole site and is fixed until i close it through a javascript button?
Can you share any code/video for multivariate and multistep forecast using LSTM?
Finally understood multivariate Time series in LSTM. Thanks. Very nice and informative video 👏
Glad it was helpful!
nice
Thanks
Hello, do yo follow the same method in case of a raster? thanks in advance.
Yes. it works for both raster and vector!
Help me, please!
What kind of help are you seeking?
@@geodev I need to create map for 10 bus. But i don't know how do it
I need help with a project I am working on in Geospatial Analysis. Could you please reply to the comment and let me know how I can connect with you? Please reply!
I am very grateful for this comprehensive explanation. I have some questions. Could you please get your email?
You can get my email in my channel description.
I have problem when creating sequence showing keyError. How to slove it?
Without the full error log, I can't say anything. Also, from which line are you getting the error?
pls share the python script in description bo
I added the code in the video description. Or simple check this repo: github.com/iamtekson/download-imerg-precipitation-dataset. Thanks for the suggestion.
Lets say someone wanted to place a pin on a map, but instead of a pin, wanted to use a dynamic price of each pin. How would you do that? TIA!!
You can add the custom marker and the tooltip to show the price. Here is the demo: leafletjs.com/examples/custom-icons/
from rasterio.mask import mask and from rasterio.plot import show may also be necessary
Sir
Yolov4-tiny-custom.cfg is not opening sir . Which u have provided for downloads
you can download that from the github.
Is it possible to make 1.5 m resolution multispectral image from the 6 m multispectral band and 1.5 m panchromatic band?
Yes, if you have the 1.5 m panchromatic band, then it is possible to make it 1.5 m. Please check this functionality in arcgis pro or in some similar software: pro.arcgis.com/en/pro-app/latest/help/analysis/raster-functions/pansharpening-function.htm
Thank you for the information. I really needed the instruction on how to download spot series for my masters thesis research and I didn’t even know that it was available for free. I’m considering planetscope as well because I believe it has the highest spatial resolution.
Glad it was helpful!
Hello Tek, Thank you for providing the details, I need your help on tree species classification using Deep Learning algorithm, could you please guide me on it ?
Hi, have you watched the land use land cover classification video on my youtube? I think you can apply the same method and classify the tree species. Definitely, you first need to prepare the data, which might take lot of time.
LULC classification video: ua-cam.com/video/5BNHcLDeirs/v-deo.htmlsi=6haa-9jV-gG6D4VP
Thank you Tek for this recommendation. But I watched your video. My requirement is to classify the tree species in the output, like what we receive from GEE or from a normal pixel-based classification task. Is it possible to get that from deep learning? For example instance segmentation on drone orthoimage RGB?
df_shapely=gpd.GeoDataFrame(geometry=geoseries_shapely)
Thanks for suggestion code, but I haven't tested it before.
In the MLP network, data from independent variables from date t are used to predict a future value t+n. In the LSTM network, instead of using only data from time t of the independent variables, it uses data from time t, t-1, t-2, ..., t-n as desired by the programmer, and after that, generates the prediction for a future time t+n? Is this reasoning correct? Thank you very much!
Yes, that's correct.
Sirji, satellite data to download kr lenge. The problem is how to create accurate ground truth data for segmentation tasks. Plz make a video on that.
Please follow this tutorial for creating the dataset for segmentation task: ua-cam.com/play/PLyWyQBSWLw1NKHAzW9WI2_9Sga52_rvMt.html&si=WyQWuY5hm4QLXrH4
Thank you for the video sir 🙏 Could you please help to know about How to import utils? Im getting error in importing
Hi, you need to write utils.py file as well. Please check the github repo and download the full code.
It's possible to extract height information of buildings?
For isro hackathon?
@@svcreations5680 no, it is for a university task
Hi Sir, I am working on a project where I have dataset containing reports of items & the coordinates of the items through out the city. I want to apply clustering to it but I am not sure how to get the clusters on MAP and also since the items names are known will it be logical to cluster when data is labeled? Can you share your email id so we can connect there. Looking forwards to your response! Thanks.
@@abhirockstcool I have tried to create the video on map clustering. Can you please check this video: m.ua-cam.com/video/R-V7XFUbrkw/v-deo.html
@@geodev Thank you! I will check it now.
How do I save the resulting image to make it into a gif?
I have shown that in video tutorial at the end right?
@@geodev I only got one result (notebook), how can I get other results? sorry, I'm still a beginner
I still didn’t get it, what do you mean by other results? If you are talking about the multiple gif, then you need to apply the for loop. If you want to generate gif for other imageries, you might need to adjust the date parameter based on frequency of the availability of data
Thanks my Inda
I downloaded the dataset and uploaded but when len(images and masks) is executed their number is not equal ...what could be the reason..what should i do?
Maybe your mask raster is was not with the same dimension or extend with your input satellite imagery.
Bro, can you help me? I want to send coordinates geoloccations from database sqlite3. How to do it? Please tell
If you're using JupyterLab/Jupyter_notebooks (Anaconda), here are the complete codes to be used: import pandas as pd import geopandas as gpd from shapely import wkt # Load the CSV file into a DataFrame file_path = r"D:\Downloads\..........\............csv" df = pd.read_csv(file_path) # Ensure the CSV contains a 'geometry' column with WKT strings if 'geometry' in df.columns: # Convert WKT strings to geometries df['geometry'] = df['geometry'].apply(wkt.loads) # Create a GeoDataFrame gdf = gpd.GeoDataFrame(df, geometry='geometry', crs="EPSG:4326") # Display the first few rows of the GeoDataFrame print(gdf.head()) else: print("The CSV file does not contain a 'geometry' column with WKT strings.") gdf.to_file(r"D:\Downloads\.............\................shp")
Thnaks for Sharing search a useful content. i was searching for it.
Sir, after running the code, the DEM file in the taskbar is not downloading
What do you mean by DEM file? for DEM, you don't need to remove cloud.
I am trying to download the satellite image for knowing the erosion and accretion of the river basin for different years(2000-2024). How can I get your help?
Can Waste bin detection be done with Yolo algorithm?
Yes you can!
What satellite image did you use?
Nice work. How does one execute an object detection project? Suppose I want to train a model to detect orange trees from either Sentinel-2 imagery or from an orthophoto. How can this be done?
Thanks. There are various models available freely on the internet for the object detection task. One of the great ones is YOLO. I created the tutorial a year ago for that kind of work. Please check this one: ua-cam.com/video/GtDQSQlZcOI/v-deo.htmlsi=_6A2oHJEuc_-n0cI
@@geodev Thank you
is this u- net ? where you find it ?
yes it is unet. This is the unet with minimal number of trainable variables.
This is not efficient because the getCurentPosition() method inside setInterval() will send coordinates even if the user is standing still, wasting (expensive) push messages used via Pusher or PubNub push service. It is better to use watchPosition without setInterval so that the system will send coordinates only when the user is on the move. On the receiver side you can insert setInterval() to move marker every second, which will not use push messages when not necessary.
thanks a lot really useful!
Glad it was helpful!
My output of len(image), len(mask) is 0,0 . not able to get through this problem alone
I think you have a wrong url to image or mask directory.
Sir ,Which programming you are using in front end and backend
This project only contain the frontend code. It is javascript.
Congratulations on the videos, I followed most of them. How do I make clusters using marked points with the following command lines: var Point1 = L.marker([0.833005, -60.436509], var Point2 = L.marker([0.833032, -60.434503], Would it be possible to make a video teaching the procedures? I didn't find any video explaining this. Thank you.
Hi, can you tell me how i can get the proper or all the coordinates of a specific state or country
Hi, I normally get it from google search. Most of the time it will be accurate. Another way is, simply use the google map and click on the required position, it will give you the coordinate.
also, if I download sentinel data just like how u did with GEE but with different region, will the code still work? thx
Yes it will work. But again, this is not the operational model and doesn't have high accuracy. Please increase your training data or make more accurate mask file to get the higher accuracy.
AttributeError: module 'tensorflow.python.distribute.input_lib' has no attribute 'DistributedDatasetInterface' do you need to uninstall previous version before installing tensorflow 2.12.0?
Yes if you do so, that will be better.
data load garda error feature class vanxa ta ?