Jump to content
Sign in to follow this  
GALL2014

Forest stand/ecosystem changes using remote sensing techniques !

Recommended Posts

Hello everyone,

 

I am seeking some suggestions about time series image classification techniques. I am trying to calculate "Forest Stand" ( pant/vegetation species) within a study area ( a part of amazon rain-forest), and also identify changes in last 10 years. I do know some basic stuff about image classification (supervise and unsupervised) and change detection techniques. I wonder if there is any efficient method to accomplish my task. I have following specific questions:

 

1. Which satellite imagery and what resolution would be best for this analysis?

2. How to perform a supervise classification to time series (historic) images (is it possible without ground control points) ?

 

 

I will appreciate if someone can provide me some guidance or point me to relevant resources.

 

Thanks you ! 

 

Edited by GALL2014

Share this post


Link to post
Share on other sites

1. Which satellite imagery and what resolution would be best for this analysis?

it goes like this, there is nothing called 'adjective' in a research. So, there is no 'best' tool for your research; you'll pick anthing and start the job. 

 

without gcp is un-supervised. Try our favorite website Youtube,

2. How to perform a supervise classification to time series (historic) images (is it possible without ground control points) ?

Virginia Geospatial Extension 

Share this post


Link to post
Share on other sites

1. Which satellite imagery and what resolution would be best for this analysis?

it goes like this, there is nothing called 'adjective' in a research. So, there is no 'best' tool for your research; you'll pick anthing and start the job. 

 

2. How to perform a supervise classification to time series (historic) images (is it possible without ground control points) ?

without gcp is un-supervised. Try our favorite website Youtube (Virginia Geospatial Extension).

Share this post


Link to post
Share on other sites

Hello everyone,

 

I am seeking some suggestions about time series image classification techniques. I am trying to calculate "Forest Stand" ( pant/vegetation species) within a study area ( a part of amazon rain-forest), and also identify changes in last 10 years. I do know some basic stuff about image classification (supervise and unsupervised) and change detection techniques. I wonder if there is any efficient method to accomplish my task. I have following specific questions:

 

1. Which satellite imagery and what resolution would be best for this analysis?

2. How to perform a supervise classification to time series (historic) images (is it possible without ground control points) ?

 

 

I will appreciate if someone can provide me some guidance or point me to relevant resources.

 

Thanks you ! 

 

I have been working with remote sensing in change detection... attached the link to the methodology translate in english (1) as a referencie to full PDF reserch workin spanish language (2).

 

1-> https://drive.google.com/file/d/0Bzh6SRELNT5xSTlUUVdoVlVDbjg/edit?usp=sharing

2-> http://eprints.ucm.es/22982/

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.