Hi, I appreciate your efforts for making this type of hands-on exercise and descriptive videos. The same code and methodology have been deployed on the same district 'Birbhum' for year 2020 for Aman/summer season i.e. having july-Aug transplanting date. I ran the code and it gave me 301,220 Ha of rice has been planted, but the govt economics and statistics "Crop Production Statistics" says that this district had only 77286 Ha of rice in 2020. And in your video too shows that 180457 Ha in 2021! That value is larger than the govt statistics. What I'm missing? How we can validate our findings with govt statistics? Kindly send reply asap. Thank you in advance.
Nice and thought provoking videio!! We have passed stacked bands like ['VH2', ;'VH3',' 'VH9] through RGB channels, considering 'VH3' as a rice transplanting date, and then picked the magenta colour. So, VH9 i.e.oct21,1st is exactly which time period considering rice crop phenological cycle? If we consider VH1/VH2 rice i.e. rice having transplanting dates in june, then whether VH9 corresponds to maturity or fully ripen stage of that rice. If this is the consideration, then for rice fields having late transplanting dates in Aug, / sept. (in Tamilnadu) should we modify VH9 to VH10, VH11 etc., in order to effectively catch magenta colour
Thank u so much for making this useful tutorial.I have a question of "Unable to perform this geometry operation. Please specify a non-zero error margin." someone said decrease the size of training data will help.It works but i don't know why,does gee limit the size of training data?Thanks a lot!
I found your lab very useful. Can you please put the code how to use all the classes in different color, so that i will have all the pixels classified in the area. thank you in advance
Sir, is there any dataset regarding rainfall at particular date in a district, so that we can avoid the errors that may occur by rain water deposition in the field by not taking the image acquired at that day or nearby. Also thank you sir for the wonderful video. This was extremely helpful.
Sir, can u please tell any methodology given by any institute to classify according to crops like wheat and rabi and rice in kharif. Because NRSC given only only three level classification till rabi and kharif crop. Please guide.
NRSc creates Land use land cover with major classes I.e agriculture urban water bodies etc.. If you want to classify crops I.e wheat and rice...you need some ground truth data regarding crop I.e latitude and longitude of the crop fields and after overlaying those on the satellite image...you can create training dataset and this training data can be used to train machine learning algorithm I.e random forest SVM neural network and and crop classification acn be performed on the satellite image. Both single date imagenor multi temporal images both can be used for classification This whole.process can be carried out in Google earth engine for free..using sentinel data which is available.innearth engine..algorithms I.e random forest and Suppprt vector machine is available in the earth engine...you can searchbon Google image classification in earth engine and you will find many examples...
In Google earth engine whole lot of satellite data is available.....like MODIS, Sentinel, landsat having thermal as well as VNIR data..one can do analysis for pest attacks i.e white fly, wheat rust etc..using temporal NDVi data
Sir, can you share the methodology of crop classification as NRSC 3 level classification only show rabi and kharif crops, but not wheat and rice. Thanks in advance
Sir thanks a lot for such a useful tutorial. I have a question that if we want to do more crop classification such as wheat , cotton rice, sugarcan and also we don’t have field base data. In such case how can we create our training data set ? Can we also find Ammonia emission from the crops using Google earth engine ?? Please answer my this question. Thanks
You can use multi temporal NDVI data over the crop growing season and based on temporal NDVI profile...different crops can be classified..but still some ground information is needed to understand the phenology of the crop... Check this video ruclips.net/video/Qti4ONltR5w/видео.html
code is considering only descending images , whereas on Google developers they have considered mean composite of both ascending & descending .. plz specify
thank you for this tutorial... i have this error when I run code: Dictionary (Error) Image.multiply: If one image has no bands, the other must also have no bands. Got 0 and 1. I remove one bracket also.
How can i contact you sir...i.need your help to Identify weed in Agricultural Field (Rice) ising satellite data (Sentinel-2). Please send me your contact or make a full video sir
You have to sign up for Google earth engine using your Gmail account...then u will be able to see the code ..after that click on run button to execute the code..
Just remove one bracket ( ) from both sides in .or filter of ascending and descending...in the code given in the description of video
Excellent tutorial -as always. Many Thanks for giving us so interesting topic for research.
Thanks Buddy. Great video.
No valid training data were found ?? . Followed same procedure as shown but error arises at the time of classification command execution
Hi, I appreciate your efforts for making this type of hands-on exercise and descriptive videos.
The same code and methodology have been deployed on the same district 'Birbhum' for year 2020 for Aman/summer season i.e. having july-Aug transplanting date. I ran the code and it gave me 301,220 Ha of rice has been planted, but the govt economics and statistics "Crop Production Statistics" says that this district had only 77286 Ha of rice in 2020.
And in your video too shows that 180457 Ha in 2021! That value is larger than the govt statistics.
What I'm missing? How we can validate our findings with govt statistics? Kindly send reply asap. Thank you in advance.
Nice and thought provoking videio!!
We have passed stacked bands like ['VH2', ;'VH3',' 'VH9] through RGB channels, considering 'VH3' as a rice transplanting date, and then picked the magenta colour.
So, VH9 i.e.oct21,1st is exactly which time period considering rice crop phenological cycle?
If we consider VH1/VH2 rice i.e. rice having transplanting dates in june, then whether VH9 corresponds to maturity or fully ripen stage of that rice.
If this is the consideration, then for rice fields having late transplanting dates in Aug, / sept. (in Tamilnadu) should we modify VH9 to VH10, VH11 etc.,
in order to effectively catch magenta colour
Thank u so much for making this useful tutorial.I have a question of "Unable to perform this geometry operation. Please specify a non-zero error margin." someone said decrease the size of training data will help.It works but i don't know why,does gee limit the size of training data?Thanks a lot!
I found your lab very useful. Can you please put the code how to use all the classes in different color, so that i will have all the pixels classified in the area.
thank you in advance
Hi how can i export the classified rice area to vector and raster?
Very useful 👍
Sir, is there any dataset regarding rainfall at particular date in a district, so that we can avoid the errors that may occur by rain water deposition in the field by not taking the image acquired at that day or nearby.
Also thank you sir for the wonderful video. This was extremely helpful.
Sir, can u please tell any methodology given by any institute to classify according to crops like wheat and rabi and rice in kharif. Because NRSC given only only three level classification till rabi and kharif crop.
Please guide.
NRSc creates Land use land cover with major classes I.e agriculture urban water bodies etc..
If you want to classify crops I.e wheat and rice...you need some ground truth data regarding crop I.e latitude and longitude of the crop fields and after overlaying those on the satellite image...you can create training dataset and this training data can be used to train machine learning algorithm I.e random forest SVM neural network and and crop classification acn be performed on the satellite image. Both single date imagenor multi temporal images both can be used for classification
This whole.process can be carried out in Google earth engine for free..using sentinel data which is available.innearth engine..algorithms I.e random forest and Suppprt vector machine is available in the earth engine...you can searchbon Google image classification in earth engine and you will find many examples...
Nice video Sir
please tell me how much work can we do using google earth search engine?
can we monitor crop diseases, thermal maps etc.
please reply
In Google earth engine whole lot of satellite data is available.....like MODIS, Sentinel, landsat having thermal as well as VNIR data..one can do analysis for pest attacks i.e white fly, wheat rust etc..using temporal NDVi data
Sir, can you share the methodology of crop classification as NRSC 3 level classification only show rabi and kharif crops, but not wheat and rice.
Thanks in advance
Sir..how to differentiate Weed and Rice crop, please help me out.
how can i export it to raster or vector
Sir thanks a lot for such a useful tutorial. I have a question that if we want to do more crop classification such as wheat , cotton rice, sugarcan and also we don’t have field base data. In such case how can we create our training data set ? Can we also find Ammonia emission from the crops using Google earth engine ?? Please answer my this question. Thanks
You can use multi temporal NDVI data over the crop growing season and based on temporal NDVI profile...different crops can be classified..but still some ground information is needed to understand the phenology of the crop...
Check this video
ruclips.net/video/Qti4ONltR5w/видео.html
Thank you . I got the error:
Dictionary (Error)
Image.multiply: If one image has no bands, the other must also have no bands. Got 0 and 1.
code is considering only descending images , whereas on Google developers they have considered mean composite of both ascending & descending .. plz specify
Just remove one bracket ( ) from both sides in or filter of ascending and descending...it may work...
thank you for this tutorial... i have this error when I run code: Dictionary (Error)
Image.multiply: If one image has no bands, the other must also have no bands. Got 0 and 1.
I remove one bracket also.
how to get the data set
Thanks You Sir.
But when i try to print stacked variable in my polygon (municipality in Senegal) it return me 0 bands.
Thanks for helping.
Can you share the link for your code....or area of interest..i will try to run at my end...
Hello Sir I found this error, I just delete a Descending option and keep Ascending option.
For another people who get this error.
Thanks so much.
Just you have to remove one bracket both sides() in or filter ascending and descending ..
How can i contact you sir...i.need your help to Identify weed in Agricultural Field (Rice) ising satellite data (Sentinel-2). Please send me your contact or make a full video sir
Hello, How can we get this data and the notebooks. I click on the link but the data does not appear
You have to sign up for Google earth engine using your Gmail account...then u will be able to see the code ..after that click on run button to execute the code..
@@OpenGeoLab I am already signed up and everything . I can see other things, but not this data. Can you quickly help me set up ? I can call you.
After executing the code...check the layers panel on the top right of the map...u can switch on and switch off the layers...bottom layer is SAR data..
oh nice commenting the mask works
Hello, I appreciate your efforts for making knowledgeable videos. How can I contact you? Please share LinkedIn if possible
Email is opengeolab4@gmail.com