1 s t National Conference on SUSTAINABLE WATER RESOURCES MANAGEMENT SWaRM’14 DEVELOPMENT OF SPECTRAL SIGNATURE LIBRARY USING HYPERSPECTRAL REMOTE SENSING P.Sowmya 1* , M.V.S.S Giridhar 2 1* Junior Research Fellow, Centre for Water Resources, Institute of Science & Technology, Jawaharlal Nehru Technological University Hyderabad, Kukatpally, Hyderabad, Andhra Pradesh, India. 2 Assistant Professor , Centre for Water Resources, Institute of Science & Technology, Jawaharlal Nehru Technological University Hyderabad, Kukatpally, Hyderabad, Andhra Pradesh, India. Author for correspondence: P. Sowmya, Tel ph no: 7893275116, Email id: sowmyapuram143@gmail.com, mvssgiridhar@gmail.com ABSTRACT Hyperspectral remote sensing involves acquisition of digital images in many narrow, contiguous spectral bands throughout the visible, Near Infrared (NIR), Mid-Infrared (MIR) and Thermal Infrared (TIR) regions of the electromagnetic spectrum. These systems typically collect 200 or more bands of data which enables the construction of an effectively continuous reflectance for every pixel in the scene. Higher spectral resolution enables hyperspectral remote sensing instruments capable of detailed identification of material, geological features and vegetation at finer level, which is not possible with conventional multispectral remote sensing. Multispectral data are acquired in a relatively small number of spectral bands with broad spectral band widths, where as the hyper spectral data bands are numerous and narrow. Many surface materials have unique absorption and reflectance characteristics that are only 10-20nm wide. The detailed reflectance spectrum acquired by hyperspectral remote sensing makes it possible to identify and distinguish the material and conditions on the ground in ways that is impossible even with very high resolution multispectral imagery.The objective of the present study is to develop spectral signature library using Hyperspectral Remote Sensing for the study area. The study area considered for the present study covers 36 villages in Chevella mandal, Rangareddy district, Hyderabad. Latitude and longitude of the study area is 17°18ƍ 24ƎN 78°08ƍ 07Ǝ E to 17.3067°N 78.1353°E, which covers about 36 villages and 30 panchayats. Hyperspectral remote sensing is to measure quantitatively the components of earth system from calibrated (radiance, reflectance, or emissivity) spectra acquired as images in many narrow and contiguous spectral bands. In vegetation application this is done by using spectral absorption crop coverage area or to distinguish the type of crop, the stage of the crop growth, stress and yield of the crop. KEY WORDS: Hyperspectral Remote Sensing, Crop Inventory, Hyperion, Crop yield. 1.0 INTRODUCTION: The satellite image processing is becoming increasingly available for vegetation mapping and to decision makers for future growth and development. In the last decade, remote sensing has been increasingly identified an objective, standardized, possibly cheaper and faster methodology from crop production surveys than conventional field investigation. Randall (2012), Spectroscopy is the study of light that is emitted by or reflected from materials and its variation in energy with wavelength. As applied to the field of optical remote sensing, spectroscopy deals with the spectrum of sunlight that is diffusely reflected (scattered) by materials at the Earth’ssurface. Instruments called spectrometers (or spectroradiometers) are used to make ground based or laboratory measurements of the light reflected from a test material, Bauman (1992).Hyperspectral remote sensing / imaging spectroscopy is a new technique for obtaining a spectrum in each position of a large array of the spatial positions so that any one spectral wave length can be used to make a coherent image. Imaging spectroscopy is based on the interaction and reflectance of photons with molecular structures of surface materials (CSIRO). Hyperspectral remote sensing is 154