Journal of Aeronautics & Aerospace Engineering
Open Access
ISSN: 2168-9792
ISSN: 2168-9792
Archana Nandibewoor
Visvesvaraya Technological University, India
Posters-Accepted Abstracts: J Aeronaut Aerospace Eng
One of the emerging technologies that can be used to study the rate of vegetation is spectral remote sensing. This study includes two types of image data - Hyper spectral satellite image and Multi spectral satellite image. Hyper spectral satellite image data was used to calculate different spectral indices. The study on spectral indices which show some significant changes with variation in vegetation are discussed. These spectral indices normalized differential vegetation index (NDVI), simple Ratio pigment index (SRPI), red edge (Clrededge) and SG (VI green) are used to monitor the vegetation. All these spectral indices stated above showed significant changes with change in rate of chlorophyll and nitrogen concentration. The graph plotted for different wavelengths verses the reflectance values showed different curves for change in the area. Hence satellite images can give lot of information that needs to be explored. Three datasets of Multi spectral satellite image data (7 Dec 2013, 8 Jan 2014, 9 Feb 2014) have been acquired from Land sat 8 OLI (Operational Land Imager)/TIRS (Thermal Infrared Sensor) satellite periodically by providing appropriate path and row in order to assess the growing stages of crop. The acquired images are in the form of a set of bands. Appropriate bands are combined to form a multispectral RGB image. A spectral line graph is plotted by using reflectance data of the specified area of crop. It is found that there is high reflectance in green bands during growing stage and this value gets decreased during the near harvesting stage. Also NDVI value has been calculated at each stage. The status of the maize crop has been concluded by experimental analysis at Laboratory and by using NDVI values. Finally, it is observed that the crops are healthy.
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