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.
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
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.
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?
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 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!
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
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?
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