Can this be performed on a time-series analysis where the datasets are not exactly around the same months across the chosen years? Like if the seasons are different, will the prediction still be accurate?
This is a case study to estimate vegetation density in forests, that's why I've used it. Yes of course you can download forest cover of any area from bbbike extracts
It's a simple linear regression equation (y = a +bx) used to find a dependent variable's (y) value from an independent variable (x). There are lots of references online that describes this equation in depth
Excelente video….
Can this be performed on a time-series analysis where the datasets are not exactly around the same months across the chosen years? Like if the seasons are different, will the prediction still be accurate?
Not as accurate as it should be, though you can predict the general trend, it's advised to make sure your data is temporally matched first!
is necessary to add forests and if yes how do i get for a full study area
This is a case study to estimate vegetation density in forests, that's why I've used it. Yes of course you can download forest cover of any area from bbbike extracts
Can you please make a video on how to collect data for NDVI?
I do not have any Idea to collect data for NDVI
Sure, we'll give it a thought. Long story short, you just need to download NIR and Red bands for your aoi from a data provider like USGS
My attribute table has -9999 values? What might be the problem
It means that your pixel has no data in it, try changing the location of your point
This equation ,how to interpreted ? if have some reference plz give a link
It's a simple linear regression equation (y = a +bx) used to find a dependent variable's (y) value from an independent variable (x). There are lots of references online that describes this equation in depth
Thank you so much❤