Thank you for sharing this video on deriving soil moisture from Sentinel-1 in GEE. However, I need to obtain soil moisture from Sentinel-1 using the SNAP tool. If possible, could you check for any videos on that for future reference?
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.😊😊😊❤❤
السلام عليكم انا متابع جيد لجميع فيديوهاتك مجهود عظيم عندي سؤال عن كيفية تقدير كمية مياه الري في المناطق الصحراويه باستخدام ناح بخر و رطوبة التربة شكرا
Thank you for this useful video for estimating the soil moisture index from Sentinel 1. I have these two questions, please address, 1) What would be the final resolution of the soil moisture index using the above formula, as you have used speckle filtering of 30? 2) When you use masking for water and urban, will that mask out the rice fields when they have standing water? If yes, then is it possible to not mask out those particular fields? thanks
Hi, final resolution is 30 meters. Urban and water bodies must be masked for soil moisture interpretation and computations. You can keep all agricultural field in case you use landcover layer for masking.
Dear Amirhossein, Thanks again for sharing this brilliant content. I have a question about soul moisture analysis. In agricultural area or in area that have a high vegetation cover, is it possible to use sentinel 1 c band for assessing soil moisture? Or it is essential to use L band data because of long waive length . I read some papers about it and most of them use WCM model in this kind of AOI. Because SM depends on landcover type (like vegetatIon cover) and in this case we need to consider the effect of vegetation. What is your opinion? Which methods and data is most likely used in this case?
Hi, thanks for the comment. This is not exactly the "soil moisture". Meaning Band-C reflects surface moisture because of lower penetration compare to L-Band.
Dear Amirhossein, Thank you again for your valuable work. I wanted to ask if you have any publications or papers under your name on SSM estimation using Sentinel-1 data. Since I’m planning to incorporate this tutorial in my research, I’d prefer to reference it as a formal study or paper authored by you in addition to the paper you mentioned, "Toward Global Soil Moisture Monitoring…". If you have published work that outlines the methodology for SSM estimation with Sentinel-1, please share the citation details, as it would be helpful to include it as a reference in my work. Thank you once again for your support!
Hi, thanks for the message. Afraid not. Just a paper about soil moisture downscaling. scholar.google.com/citations?view_op=view_citation&hl=en&user=vcu8z9MAAAAJ&sortby=pubdate&citation_for_view=vcu8z9MAAAAJ:roLk4NBRz8UC
Thank you for this helpful tutorial. It’s one of the most valuable resources I’ve seen on TH-cam. I’m currently looking for a method to simulate or predict soil moisture based on precipitation for a landslide study. I prefer not to use physical models due to their time-consuming nature. 1. Do you know of any method or equation that uses Sentinel-1 data and can also consider rainfall to estimate soil moisture maps? Because to predict future soil moisture map I need to predict it based on the future rainfall. 2. Can I export these moisture maps as raster files or TIFF format? I want to work with them in ArcGIS Pro.
Thanks for the message. Regarding soil moisture prediction using sentinel-1, Smile Random Forest might be a good option for making prediction generally. Yes you can get export using export function easily: developers.google.com/earth-engine/guides/exporting_images
Mr Amir, on your tutorial, you are converting sentinel-1 data to sigma0 dB data. But, i read other references said that Sentinel-1 on GEE is already in sigma0 dB data. Should i convert again sentinel-1 data to sigma0 dB?
Thank you, Mr. Amirhossein for sharing this video. A big help for my thesis.
Happy to hear you found it useful. Please share the tutorials with your community.
Thank you so much sir for such a lucid explanation and presentation ❤❤❤
Welcome. Glad to hear you found it useful. Keep following and share the tutorials with your community please.
Thank you for sharing this video on deriving soil moisture from Sentinel-1 in GEE. However, I need to obtain soil moisture from Sentinel-1 using the SNAP tool. If possible, could you check for any videos on that for future reference?
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.😊😊😊❤❤
happy to hear. hope it works for you. keep follwing and share the channel with your community.
@aqibhussain3147 can you help me regarding this topic? If you don't mind can you share your email id ?
Zabardast means brilliantly done.
Thanks a lot
السلام عليكم
انا متابع جيد لجميع فيديوهاتك مجهود عظيم
عندي سؤال عن كيفية تقدير كمية مياه الري في المناطق الصحراويه باستخدام ناح بخر و رطوبة التربة
شكرا
Hi, thanks for the message. You may use vegetation moisture index.
th-cam.com/video/DbwAppBQwUs/w-d-xo.html
Thank you for this useful video for estimating the soil moisture index from Sentinel 1. I have these two questions, please address,
1) What would be the final resolution of the soil moisture index using the above formula, as you have used speckle filtering of 30?
2) When you use masking for water and urban, will that mask out the rice fields when they have standing water? If yes, then is it possible to not mask out those particular fields?
thanks
Hi,
final resolution is 30 meters.
Urban and water bodies must be masked for soil moisture interpretation and computations. You can keep all agricultural field in case you use landcover layer for masking.
Dear Amirhossein,
Thanks again for sharing this brilliant content.
I have a question about soul moisture analysis.
In agricultural area or in area that have a high vegetation cover, is it possible to use sentinel 1 c band for assessing soil moisture? Or it is essential to use L band data because of long waive length .
I read some papers about it and most of them use WCM model in this kind of AOI. Because SM depends on landcover type (like vegetatIon cover) and in this case we need to consider the effect of vegetation.
What is your opinion? Which methods and data is most likely used in this case?
Hi, thanks for the comment. This is not exactly the "soil moisture". Meaning Band-C reflects surface moisture because of lower penetration compare to L-Band.
Dear Amirhossein,
Thank you again for your valuable work. I wanted to ask if you have any publications or papers under your name on SSM estimation using Sentinel-1 data. Since I’m planning to incorporate this tutorial in my research, I’d prefer to reference it as a formal study or paper authored by you in addition to the paper you mentioned, "Toward Global Soil Moisture Monitoring…".
If you have published work that outlines the methodology for SSM estimation with Sentinel-1, please share the citation details, as it would be helpful to include it as a reference in my work.
Thank you once again for your support!
Hi, thanks for the message. Afraid not. Just a paper about soil moisture downscaling.
scholar.google.com/citations?view_op=view_citation&hl=en&user=vcu8z9MAAAAJ&sortby=pubdate&citation_for_view=vcu8z9MAAAAJ:roLk4NBRz8UC
Thanks again for helpful tutorial.
Do you know the horizontal and vertical resolution of soil moisture map produced using Sentinel-1?
Not exactly. check this website: www.eoportal.org/satellite-missions/copernicus-sentinel-1#eop-quick-facts-section
Thank you for this helpful tutorial. It’s one of the most valuable resources I’ve seen on TH-cam.
I’m currently looking for a method to simulate or predict soil moisture based on precipitation for a landslide study. I prefer not to use physical models due to their time-consuming nature.
1. Do you know of any method or equation that uses Sentinel-1 data and can also consider rainfall to estimate soil moisture maps? Because to predict future soil moisture map I need to predict it based on the future rainfall.
2. Can I export these moisture maps as raster files or TIFF format? I want to work with them in ArcGIS Pro.
Thanks for the message.
Regarding soil moisture prediction using sentinel-1, Smile Random Forest might be a good option for making prediction generally.
Yes you can get export using export function easily: developers.google.com/earth-engine/guides/exporting_images
@@amirhosseinahrarigeeThanks again for your reply and help.
Mr Amir, on your tutorial, you are converting sentinel-1 data to sigma0 dB data. But, i read other references said that Sentinel-1 on GEE is already in sigma0 dB data.
Should i convert again sentinel-1 data to sigma0 dB?
Hi the sentinel-1 data are in decibel format. I just removed the decibel impact from image.
@@amirhosseinahrarigee how to convert the sentinel 1 unit into m3/m3?
Could you upload vedio about NBR fire detection?❤❤❤❤
already is created on my channel, please check it out: th-cam.com/video/E3N88gVQN2c/w-d-xo.html
Sir which is more accurate using the SMAP or sentinel 1
Radiometrically SMAP, and spatially sentinel-1.
❤❤❤ please
check this tutorial: th-cam.com/video/E3N88gVQN2c/w-d-xo.html
@@amirhosseinahrarigee سپاسگزارم بابت کمکتون و وقت گران بهاتون. ❤❤❤🙏🙏