• Shraddha Jadhav
• Achamma Thomas
• Saurabh Gangwar

Hyperspectral imaging has become an essential tool for vegetation mapping through remotely sensed data since it contains abundant spectral information and can detect the indistinct features to accurately monitor the vegetation status. Mapping vegetation through these remotely sensed images involves various considerations, processes and techniques. The Increasing availability of hyperspectral remotely sensed images due to the rapid advancement of remote sensing technology expands the perception of making choices of imagery sources. Imagery from different sources contains differences in spectral, spatial and temporal characteristics and thus they are suitable for different purposes of vegetation mapping. This paper presents an overview of how hyperspectral imagery is used for mapping vegetation cover. The paper also focuses on the advantages and disadvantages of different vegetation indices used in vegetation mapping and also showcases the various applications of vegetation mapping.

Remote sensing, vegetation mapping, hyperspectral images, agriculture, vegetation indices.

"Significance of Vegetation Indices for Vegetation Mapping in Hyperspectral Imagery", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.554-558, June 2019, Available :http://www.jetir.org/papers/JETIR1907M72.pdf

"Significance of Vegetation Indices for Vegetation Mapping in Hyperspectral Imagery", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp554-558, June 2019, Available at : http://www.jetir.org/papers/JETIR1907M72.pdf