Land cover maps are of vital importance to various fields such as land use policy development, ecosystem services, urban planning and agriculture monitoring, which mainly generated from remote sensing image classification techniques. Traditional usually needs tremendous computational resources, often becomes a huge burden the community. Undoubtedly cloud computing is one best choices for classi...

The use of satellite imagery in the derivation of land cover information has yielded immense dividends to numerous application fields such as environmental monitoring and modeling, map making and revision and urban studies. The extraction of this information from images is made possible by various classification algorithms each with different advantages and disadvantages. Support Vector machine...

With the rapid development of satellite remote sensing technology, the volume of image datasets in many application areas is growing exponentially and the demand for Land-Cover and Land-Use change remote sensing data is growing rapidly. It is thus becoming hard to efficiently and intelligently retrieve the change information that users need from massive image databases. In this paper, content-b...

This paper deals with the encoding of high resolution images for remote sensing and geographic information systems applications. We are currently investigating the suitability of several still image coding techniques for this kind of applications. We present results for an adapted and modified version of the CCSDS-ILDC technique. In addition to evaluate its compression factor and quality of rec...

The Global Navigation Satellite System (GNSS) signals are always available, globally, and the signal structures are well known, except for those dedicated to military use. They also have some distinctive characteristics, including the use of L-band frequencies, which are particularly suited for remote sensing purposes. The idea of using GNSS signals for remote sensing the atmosphere, oceans or ...

In this paper, a new wavelet based image interpolation algorithm is proposed for remote sensing images. Remote sensing images include many mid and high frequency elements such as aerial and satellite photograph images. These frequency elements contain important information. Because conventional interpolation techniques have blurring or blocking effects, the quality of interpolated remote sensin...

2 Acknowledgments 3 Table of contents 4 Chapter 1 Introduction 6 1.1 Thesis objectives, motivations and innovation 7 1.2 Materials and methods 15 1.2.1 The Sierra Nevada, U.S.A (study site 1) 16 1.2.2 The Alps, Bozen, Italy (study site 2) 16 1.2.3 Gola Rainforest National Park, Sierra Leone (study site 3) 17 1.3 Thesis outline 18 1.4 References 19 Chapter 2 – Remote sensing of forested landscap...