Hey,thanks for the video.I have a question to ask.After this step,Has the spectral information of my image changed?Will there be any errors in the NDVI index extracted in this way?
Congratulations for your video! Following your steps, I removed the clouds and now I would like to apply NDWI to the result of the mosaic operation, namely to the new image whose clouds have been removed. NDWI can be accomplished by performing the following equation (Band 3 - Band 8) / (Band 3 + Band 8), using the bands located at the folder of S2B_MSIL2A (Granule --> IMG Data --> R10m). My question is, where can I find the new Band 3 and Band 8 (Granule --> IMG Data --> R10m) of the result of the mosaic operation (the result of the final step for cloud removal)? Thanks in advance and I am looking forward to hearing from you.
the most easiest way is, when you made the RGB color composites, make sure you choose the bands that will be used for NDWI generation, so the output will only consists of those three bands,
Hi. Thanks for your video. I have been following your steps but in my case, the "attribute table" part can't show the layer's attribute table. What should I do? I tried to just randomly input a minimum and maximum pixel values in the raster (remap) to create new layer but still can't create new layer.
@@GEO2004 Good morning! I tried your suggested step on geoprocessing tool in ArcGIS Pro but it fails to build attribute table. Do you have any suggestions or alternative solution for this?
I don't, there can be many error sources, without looking the data myself, I can't be sure, guess you can keep trying and watch closely my video, and figure it out what is the difference between my data and yours, and go from there
Hi. Thanks for sharing. I have followed the instruction based on this video. However, after the clipping process, result layer doesn't show any data. Any adcive mybe?
is the output layer displayed in the layer menu? if it is there, may be you can try to change the symbology in the stretching bar, change from default to histogram equalize or percent clip 20 percent,
@@GEO2004 At the same time, if I add a file SCL-20m to ArcGIS Desctop, then the decoding is normal. But if in ArcGIS Pro, then it is initially determined in grayscale, and then you can create unique values from 0 to 11, but without decoding (without decryption)
Hey, thanks for the video. At 2.12 mark, how do i get my images to have those classifications? did u first classify before the video? because after correcting my images to BOA, i dont see the scene classifications such as vegetations, cloud shadows etc. please help coz need to remove clouds from my sentinel 2 images
Did you perform the atmospheric correction by yourself? if that is the case, I assume you are not using the Sentinel-2 L2A data, I am using L2A in the video, so I don't have to perform the atmospheric correction to get the BOA and the classification is pre-computed by the data, they are stored in the image metadata and arcgis pro only extracted it by reading the metadata.
@@GEO2004 thanks for the quick response. I actually performed the atmospheric corrections using sen2cor. so I have L2A image folders (cloud free and clouded) with their corresponding 10m, 20, and 60m. I have tried to follow your video but i get different stuff. my attribute table option is freezed and so on. I need my images to be cloudless. will be grateful for the help. Thank you
Yes, if you are using Sen2cor, that would be different beast we need to tame, basically you still can do it, but I think that would be better if the cloud removal is performed using ESA-SNAP, SNAP has IDEPIX operator which has ability to detect and masking the clouds. I consider to make a video about it, however that is not my current priority at this moment because I have other video ideas waiting to be executed.
Excelente! mil gracias por su amabilidad, muy agradecido con el video. Para replicar paso a paso el ejercicio, puedes adjuntar por favor las 2 imágenes sentinel? Gracias!
Hey,thanks for the video.I have a question to ask.After this step,Has the spectral information of my image changed?Will there be any errors in the NDVI index extracted in this way?
It will changed, yes, there will be inconsistencies in ndvi values
Congratulations for your video! Following your steps, I removed the clouds and now I would like to apply NDWI to the result of the mosaic operation, namely to the new image whose clouds have been removed.
NDWI can be accomplished by performing the following equation (Band 3 - Band 8) / (Band 3 + Band 8), using the bands located at the folder of S2B_MSIL2A (Granule --> IMG Data --> R10m).
My question is, where can I find the new Band 3 and Band 8 (Granule --> IMG Data --> R10m) of the result of the mosaic operation (the result of the final step for cloud removal)?
Thanks in advance and I am looking forward to hearing from you.
the most easiest way is, when you made the RGB color composites, make sure you choose the bands that will be used for NDWI generation, so the output will only consists of those three bands,
Hi. Thanks for your video. I have been following your steps but in my case, the "attribute table" part can't show the layer's attribute table. What should I do? I tried to just randomly input a minimum and maximum pixel values in the raster (remap) to create new layer but still can't create new layer.
You can build raster attribute table from geoprocessing tool,
@@GEO2004 Good morning! I tried your suggested step on geoprocessing tool in ArcGIS Pro but it fails to build attribute table. Do you have any suggestions or alternative solution for this?
I don't, there can be many error sources, without looking the data myself, I can't be sure, guess you can keep trying and watch closely my video, and figure it out what is the difference between my data and yours, and go from there
Hi. Thanks for sharing. I have followed the instruction based on this video. However, after the clipping process, result layer doesn't show any data. Any adcive mybe?
is the output layer displayed in the layer menu? if it is there, may be you can try to change the symbology in the stretching bar, change from default to histogram equalize or percent clip 20 percent,
Cool! 😀👍
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When I add a file SCL-20m to ArcGIS Pro 3.3.2, I don't get a scheme with a decoding, but only numbers from 0 to 11, what could be the reason?
Maybe a failure to read the metadata problem, the number 0-11 actually is the same between the decoding
@@GEO2004 At the same time, if I add a file SCL-20m to ArcGIS Desctop, then the decoding is normal. But if in ArcGIS Pro, then it is initially determined in grayscale, and then you can create unique values from 0 to 11, but without decoding (without decryption)
Hey, thanks for the video. At 2.12 mark, how do i get my images to have those classifications? did u first classify before the video? because after correcting my images to BOA, i dont see the scene classifications such as vegetations, cloud shadows etc. please help coz need to remove clouds from my sentinel 2 images
Did you perform the atmospheric correction by yourself? if that is the case, I assume you are not using the Sentinel-2 L2A data, I am using L2A in the video, so I don't have to perform the atmospheric correction to get the BOA and the classification is pre-computed by the data, they are stored in the image metadata and arcgis pro only extracted it by reading the metadata.
@@GEO2004 thanks for the quick response. I actually performed the atmospheric corrections using sen2cor. so I have L2A image folders (cloud free and clouded) with their corresponding 10m, 20, and 60m. I have tried to follow your video but i get different stuff. my attribute table option is freezed and so on. I need my images to be cloudless. will be grateful for the help. Thank you
Yes, if you are using Sen2cor, that would be different beast we need to tame, basically you still can do it, but I think that would be better if the cloud removal is performed using ESA-SNAP, SNAP has IDEPIX operator which has ability to detect and masking the clouds. I consider to make a video about it, however that is not my current priority at this moment because I have other video ideas waiting to be executed.
@@GEO2004 Thank you so much. I will keep checking for the new videos.
Thank you, I will make it as soon as possible.
Excelente! mil gracias por su amabilidad, muy agradecido con el video. Para replicar paso a paso el ejercicio, puedes adjuntar por favor las 2 imágenes sentinel? Gracias!
I am sorry I can't, but you can download them from scihub.copernicus.eu/dhus/ , and the dataset is L2A
@@GEO2004 Hola muchas gracias, muy amable de su parte. Saludos