Remote sensing using hydroacoustics

Drought Analysis of Alvand Boundary River Using Remote Sensing Data

Extended abstract 1- Introduction       The study of the behavior of rivers in the arid and dry areas is one of the most important tasks in the country. Because the area has increased the effects of drought due to the sensitivity of the area and rainfall shortage, it causes changes in the flow and sediment regime, water resources, agriculture, and so on. Since plants react more precisely to t...

Aerosol Remote Sensing Using AATSR

The aim of this document is to describe the work I have been doing over the past year, and show how it will be built upon over the next two years to create a viable doctorate thesis. In this report I provide a brief overview of atmospheric aerosol (Chapter 1) and how we can use probe this aerosol in the atmosphere, focussing on the AATSR instrument in particular (Chapter 2). I then (Chapter 3) ...

Rangeland Monitoring Using Remote Sensing

Zone Functions Using Remote Sensing

There is an increasing demand amongst resource managers for cost-effective watershed-scale inventories of riparian buffer condition and function. Recent developments in image processing software and decreasing satellite imagery costs enable a new methodology that can help meet this demand. ASTER satellite imagery, which has 15 metre pixel size, is processed with image segmentation software to i...

Ship’s Hydroacoustics Signatures Classification Using Neural Networks

Classification is a procedure in which individual items are placed into groups based on quantitative information on one or more characteristics inherent in the items (referred to as traits, variables, characters, etc) and based on a training set of previously labelled items [Stąpor, 2005], [Zak, 2008]. Formally, the problem can be stated as follows: given training data 1 1 {( , ), ,( , )} ... n...