To do vegetation analysis, don't think in software, it's just a tool. when you want to travel, you don't think of the car brand, you think where to go.

Vegetation analysis can be crop area and health measurements, vegetation type identification, and many others.

Could you please specify what you mean with "vegetation analysis". Are you interested in differentiating vegetation communities or in detecting specific species? What kind of remote sensing data do you want to analyze? Give us some more information on the research questions you are dealing with.

I'm also interested in knowing what type vegetation analysis are you doing? Expound more.

The answers depend on your detailed questions confronted in your research.

Some vegetation indices can be used for both ecological and physiological vegetation analysis. ground, airborne or spaceborne remote sensing can be coupled with GIS during these analysis.

Good luck

Ramarajan,

1. Collect the satellite image of your choice which will cover vegetation data

2. Synthesis the image data with your vegetation parameters

3. Observe the findings and compare with ground truth values of the same area

4. if it will match on approximation, then your work is on line...

regards

N. Raja

It depends on the aims of the research work. What is the research problem you are addressing? Usually vegetation analysis address the following topics: vegetation type classification, physiological structure of vegetation, vegetation diseases, vegetation stress, vegetation density, vegetation biomass....I advice that you draw a flowchart to reach your aims and goals.

It would be nice if you could contact Professor Molley Brown at Research Gate only. She is a peer in this subject.

Best wishes

I reccomend to you this book: "ADVANCED REMOTE SENSING -Terrestrial Information Extraction and Applications" Edited by SHUNLIN LIANG XIAOWEN LI JINDI WANG - Elsevier

To do vegetation analysis, don't think in software, it's just a tool. when you want to travel, you don't think of the car brand, you think where to go.

Vegetation analysis can be crop area and health measurements, vegetation type identification, and many others.

I would like to know your objectives, you do not say to me much with "vegetation analysis". What do you mean?

I agree with Fidel, If you want relevant answer so its better to specify your study area and objectives. I would also reccomend you to read Ch.12 Remote Sensing Applications ( Remote Sensing in Agriculture : by Stan Aronoff and Remote Sensing and GIS in Forestry by Michael A.Wulder etal) of Book: Remote Sensing for GIS managers by Stan Aronoff.

Here I include at least some links related with your question but I suggest to be more curious, if you used your favorite web browser you can find a bunch of valuable informatión, just need to be patient and ask for the correct questions. This is the way I use to operate when I start a project, of course do not forget your local libraries as a source of information.

They are the fast result of my search in internet for you.

http://www.esri.com/library/whitepapers/pdfs/arcgis_spatial_analyst.pdf

http://proceedings.esri.com/library/userconf/proc04/docs/pap1065.pdf

http://video.arcgis.com/watch/392/creation-of-the-vegetation-layer-for-the-community-map-v10

http://www.yale.edu/ceo/Documentation/ImageToArcGIS.pdf

Hi...

You can have a look here for bundle of applications on vegetation; urban growth studies using free and open source software..

http://wgbis.ces.iisc.ernet.in/energy/paper/researchpaper.html#rg

This paper may help you:

Klemas,V. (2011) Remote sensing of wetlands: Case studies comparing practical techniques. Journal of Coastal Research, 27, 418-427.

I studied that question a long time ago at the beginnings of remote sensing. The problem with vegetation is the different signatures of the plants at different times of the year. Different species can emit the same radiation at times, and one species different wavelengths at different times. So the solution should be to compare different datasets. The only way is to study the abundant literature about the subject. The references given above should be very helpful.

Thank you Ruxandra Vintila,Ruxandra Vintila, Athi Mfikili ,Patrick Mangou and Fidel Martínez-García for your response.

Thanks to all. This is valuable and useful to my research work

You're welcome, Sekar

I think you need to rephrase the question.Vegetation analysis includes a lot of aspects. U need to know what about vegetation you want to analyse. Once you are clear on that, you may proceed to methodology. I suggest you leaf through the book 'Remote sensing of the environment' by Jensen. you will find it easily on google books.

It has a chapter on vegetation analyse. Form your question first then look out for methods to analyse those aspects.

Thank you Vaijayanti Vijayaraghavan for your response.

There are many remote sensing vegetation data products available for the public, such as long-term AVHRR NDVI dataset, MODIS vegetation indices, MODIS land cover and dynamics, MODIS LAI and fPAR. You can google them according to your primary purposes.

Thanks allot. The Tirunelveli coastal area in my study area. I am very much interested to do the vegetation analysis (seasonal variation for herb, shrub and trees )of our study area. I have previous experience with the software Arc view and handling. What are the basics to run Arc view software and how to operate it? How will i get the protocol? My institute doesn't have the facility to run the Arc software, If you have more knowledge please guide me as i have to submit this work in a couple of months.

Once again thanks for such nice reply

Why wouldn't you use QGIS or GRASS (integrated with GIS). It's free, open-source software, downloadable from qgis.org. You have also GlobalMapper from bluemarble (http://www.bluemarblegeo.com/products/global-mapper.php), pretty cheap for GIS ($399); a free version, called dlgv32pro is available from the USGS (http://mcmcweb.er.usgs.gov/drc/dlgv32pro/), of course with some limitations.

Thank you sir

Thank you Ruxandra Vintila madam for your response

Thank you mam. The Tirunelveli coastal area in my study area. I have completed work for Phytosociology studies. Various measures of phytosociology of the area like density, abundance, frequency, dominance, diversity indices, important value index (IVI) for angiosperm plants were studied. but, I am very much interested to do the using remote sensing of our study area. I didn't previous experience with the remote sensing technique handling. Any free tools using for remote sensing technique. If you have more knowledge please guide me as i have to submit this work in a couple of months.

Once again thanks for such nice reply . Thank you mam

How to collected Survey of India topographical map sheets of scale

1:50,000 and interpreted satellite maps for free of the cost.

Thanks a lot for your valuable comments and suggestions

We had completed vegetation analysis (density, abundance, frequency) in various sampling locations with GPS data in our study area upto past two years.

To our study area we had planned to compare the last five years data (it retrieved from remote sensing tool) based on the characteristics of land cover changes or habitat changes.

Kindly give your valuable suggestions/ comments for using RS tool to apply in our study area.

My study area covers 30 km radius of terrestrial area of Tirunelveli (Tamil Nadu, India). Major portion of the study area covers coastal dune, plains area, scrub jungle, deciduous forest and wetland ecosystem except sea.

Please readthe following paper: Klemas,V. (2011) Remote sensing of wetlands: Case studies comparing practical techniques. Journal of Coastal Research, 27, 418-427.

Thanks a lot for your valuable comments and suggestions

Thanks a lot for your valuable comments and suggestions

http://www.amazon.com/Remote-Sensing-Vegetation-Principles-Applications/dp/0199207798

http://www.yale.edu/ceo/Documentation/rsvegfaq.html

Thanks a lot for your valuable comments and suggestions

The most basic use of GIS for vegetation analysis is to add GIS layers of ancillary data (DEM, soil type,digitized aerial photos,etc.) to your thematic vegetation maps that you are obtaining from satellite or aerial imagery in order to improve classification accuracy.

You may use the NDVI index for analysis

Thank you sir

There are some indices that you can consider: PVI (Perpendicular Vegetation Índex), SAVI(Soil-Adjusted Vegetation Index), ARVI (Atmospherically Resistant Vegetation Índex), GEMI (Global Environment Monitoring Índex) and EVI (Enhanced Vegetation Índex).

We have used ERDAS Imagine and ENVI and they both are effective for use with vegetation indices such as NDVI and SAVI.