Jump to content
Sign in to follow this  
Ademola

Best band combination for riparian vegetation

Recommended Posts

hi everyone, I'm working on riparian vegetation degradation. I would like to know the best composites for riparian vegetation studies using Landsat TM, ETM+ and Landsat 8. Thanks

Share this post


Link to post
Share on other sites

vegetation , you need infra red band for this

 

for the detection, I would like to use NDVI or any kind of vegetation index to automatically detection

Share this post


Link to post
Share on other sites

I would highly advise to use Infrared or NDVI index for such purposes. You may access Landsat data via satellite imagery service like LandViewer. This tool has a vast database of satellite imagery and numerous tools available for image analysis.

NDVI is often used around the world to monitor drought, forecast agricultural production, assist in forecasting fire zones and desert offensive maps. NDVI is preferable for global vegetation monitoring since it helps to compensate for changes in lighting conditions, surface slope, exposure, and other external factors.

As seen below, one is dark green, the other one is light green with brown spots. It indicates that the first field has higher biomass.

VnmMd13.png

https://eos.com/landviewer/?lat=33.12706&lng=-96.69273&z=12&datasets=2,3&id=LV-TEMw-OF9M-MVRQ-XzAy-NzAz-N18y-MDE5-MDMw-OV8y-MDE5-MDMw-OV8w-MV9S-VA%3D%3D&b=NIR,Red&expression=(B5-B4)%2F(B5%2BB4)&anti&pansharpening

Infrared band combination allows vegetation to be readily detected in the image. Vegetation emerges in shades of red, soils vary from dark to light browns and urban areas are cyan blue or at sometimes can appear yellow or grey, depending on their composition. Clouds, snow, and ice are light cyan or white. Hardwood trees will appear light red than Coniferous. Clearwater appears dark-bluish, while turbid water appears cyan.

Below is a Color infrared band combination applied to Sentinel-2 image in order to highlight vegetation (croplands and forests):

main-qimg-c718ebd844034437c5ff7b28f1e5ad5e

Dörtyol/Hatay, Turkey. Nov 02, 2018 - Land Viewer | EOS

 

Share this post


Link to post
Share on other sites

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.

Sign in to follow this  

×
×
  • Create New...

Important Information

By using this site, you agree to our Terms of Use.