NDVI from Surface Reflectance and TOAR products

Hello!

I've been working with data from both products (SR and TOAR), and I realized TOAR gives better results in distinguishing vegetation/no vegetation in my area of study. However, I'm a little confused since apparently, SR is an improved version of TOAR products? Or perhaps my understanding is not pretty clear about it. For example, I use 0.2 as a threshold, in order to get rid of vegetation and as a result, TOAR products give me a consistent output over time whereas SR is sometimes recognizing vegetation, and sometimes not.

Thanks for helping me with this!

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Kommentare

  • Hi Mishel,

    I have created a support ticket and will be assisting you via that.

    Thanks,

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  • I am also interested in this response, if you could share it here...thanks! :)

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  • Hi @Stephanie Dockstader,

    As you already have a ticket with us. We will assist you directly.

    Thanks,

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  • Hi,

    I am also interested in this response, if you could share it here...thanks you!

     

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  • Hi, 

    I am interested in this inquiry, could you please share the answer here.

    Many thanks in advance. 

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  • Also would like to know the answer.

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  • I wanted to add our Surface Reflectance white paper to this post as I feel it would be helpful: https://assets.planet.com/marketing/PDF/Planet_Surface_Reflectance_Technical_White_Paper.pdf

     

     

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  • SR is suggested for vegetation. Although radiometrically, SkySat does differ quite substantially.

     

    Top of Atmosphere Reflectance (TOAR):- The TOAR tool allows you to convert analytic imagery products to the top of atmosphere reflectance products. Top of atmosphere reflectance products may be useful when looking at open water and coastal areas.

    Planet’s Surface Reflectance (SR) Product is derived from the standard Analytic Product (Radiance) and is processed to top-of-atmosphere reflectance and then atmospherically corrected to bottom-of-atmosphere reflectance. This product ensures consistency across localized atmospheric conditions, minimizing uncertainty in spectral response across time and location.

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