Volume : III, Issue : IV, April - 2014

Vegetation Area Classification Using Modis Imagery

Mrs. G. Arulselvi, Ms. P. Sivaranjani, Dr. V. Ramalingam

Abstract :

The information about the location and area of vegetation fields has great impact on emerging Remote sensing applications. Remote sensing techniques have been developed to allow researchers to accurately classify large vegetation area at reduced cost. In this paper the ultimate intention is to develop an operational method for assessing vegetation area that would facilitate developing remote sensing based algorithms for assessing vegetation fields and land surfaces in major areas. The Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Terra satellite offers a good potential for assessing vegetation area. Here MOD13A3 of the MODIS/Terra Vegetation Indices is used. By applying segmentation techniques vegetation area is differentiated from non crop area. It provides opportunity to retrieve parameters that can be used to assess fields whether the acquired field is vegetation area (crop) or land surface. This significant improvement can help researchers to create superior crop type classification maps and therefore have the opportunity to make better informed decisions. General Terms Segmentation, Classification, Training, Testing.

Keywords :

Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Mrs.G.Arulselvi, Ms.P.Sivaranjani, Dr.V.Ramalingam Vegetation Area Classification Using Modis Imagery International Journal of Scientific Research, Vol.III, Issue. IV Apr 2014

Number of Downloads : 1184

References :