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.😊😊😊❤❤
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.
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.
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
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
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
![ปฏิเสธไม่ไหว (Crush on you) - LIPTA feat. No One Else [Official MV]](http://i.ytimg.com/vi/NBw1jF342vw/mqdefault.jpg)
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
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.
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.
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.
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
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
Sir which is more accurate using the SMAP or sentinel 1
Radiometrically SMAP, and spatially sentinel-1.
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
❤❤❤ please
check this tutorial: th-cam.com/video/E3N88gVQN2c/w-d-xo.html
@@amirhosseinahrarigee سپاسگزارم بابت کمکتون و وقت گران بهاتون. ❤❤❤🙏🙏