Other Earth Sciences Commons^™

Characterizing Dryland Ecosystems Using Remote Sensing And Dynamic Global Vegetation Modeling, Abdolhamid Dashtiahangar

Boise State University Theses and Dissertations

Drylands include all terrestrial regions where the production of crops, forage, wood and other ecosystem services are limited by water. These ecosystems cover approximately 40% of the earth terrestrial surface and accommodate more than 2 billion people (Millennium Ecosystem Assessment, 2005). Moreover, the interannual variability of the global carbon budget is strongly regulated by vegetation dynamics in drylands. Understanding the dynamics of such ecosystems is significant for assessing the potential for and impacts of natural or anthropogenic disturbances and mitigation planning, and a necessary step toward enhancing the economic and social well-being of dryland communities in a sustainable manner (Global …

Deriving Landscape-Scale Vegetation Cover And Aboveground Biomass In A Semi-Arid Ecosystem Using Imaging Spectroscopy, Andrew Poley

Boise State University Theses and Dissertations

Environmental disturbances in semi-arid ecosystems have highlighted the need to monitor current and future vegetation conditions across the landscape. Imaging spectroscopy provide the necessary information to derive vegetation characteristics at high-spatial resolutions across large geographic areas. The work of this thesis is divided into two sections focused on using imaging spectroscopy to estimate and classify vegetation cover, and approximate aboveground biomass in a semi-arid ecosystem.

The first half of this thesis assesses the ability of imaging spectroscopy to derive vegetation classes and their respective cover across large environmental gradients and ecotones often associated with semi-arid ecosystems. Optimal endmember selection and …

Analysis Of Polarimetric Synthetic Aperture Radar And Passive Visible Light Polarimetric Imaging Data Fusion For Remote Sensing Applications, Sanjit Maitra

Theses

The recent launch of spaceborne (TerraSAR-X, RADARSAT-2, ALOS-PALSAR, RISAT) and airborne (SIRC, AIRSAR, UAVSAR, PISAR) polarimetric radar sensors, with capability of imaging through day and night in almost all weather conditions, has made polarimetric synthetic aperture radar (PolSAR) image interpretation and analysis an active area of research. PolSAR image classification is sensitive to object orientation and scattering properties. In recent years, significant work has been done in many areas including agriculture, forestry, oceanography, geology, terrain analysis. Visible light passive polarimetric imaging has also emerged as a powerful tool in remote sensing for enhanced information extraction. The intensity image provides information …

Distinction Of Lakes And Rivers On Satellite Images Using Mathematical Morphology, Przemysław Kupidura

Przemysław Kupidura

This paper concerns the application of mathematical morphology for object-oriented classification of satellite images. The example of distinguishing different bodies of water using the author-made algorithm will be presented. Different types of water bodies like lakes and rivers are easy to differentiate when visually interpreted. However, it is much more difficult to differentiate using a traditional, pixel-based classification process. Mathematical morphology operations, which take into account such important features of objects like shape and size, allow these two types of water bodies to be distinguished in object classification. The proposed algorithm allows one practically error-free classification. The results show, that …

Cyfrowe Przetwarzanie Zdjęć Satelitarnych, Przemysław Kupidura, Piotr Podlasiak

Przemysław Kupidura

No abstract provided.

Comparison Of Different Aproaches To Extract Heterogeneous Objects From An Image Using An Orchards Example, Przemysław Kupidura, Gwadera Łukasz

Przemysław Kupidura

Traditional, pixel-based classification is very often an useless tool for an automatic extraction of heterogeneous types of land cover. This paper presents the application of mathematical morphology for a semi-automatic extraction of heterogenous objects using an example of orchards. Thanks to this algorithm it is possible to obtain orchards pixels of unique set of digital numbers, allowing succesful application of a traditional pixel-based classification for extraction of this class.The algorithm concerning a sequence of morphological operations of multispectral satellite images of very high resolution (VHR) is then veryfied on test images. The paper concerns also a comparison of an efficiency …

Semi-Automatic Method For A Built-Up Area Intensity Survey Using Morphological Granulometry, Przemysław Kupidura

Przemysław Kupidura

Built-up areas as a land-use type are easy to extract in a visual photo-interpretation process, however their heterogeneous character makes theirs automatic or semi-automatic extraction very complicated, even impossible using non-contextual, pixel-based methods of image classification. This paper concerns the application of the semi-automatic method of the extraction of built-up areas in satellite images. Granulometric maps, a mathematical morphology operator is used as a main tool for surveying a heterogeneity of particular parts of an aerial or satellite image. This function measures amount and size of objects in the determined neighborhood of each pixel of an image. Pixels representing built-up …

The Concept Of The Islands Extraction In Satellite Images Using Mathematical Morphology, Przemysław Kupidura

Przemysław Kupidura

The neighborhood is one of the indirect features of the object which may be used in the interpretation of the image. Sometimes, this feature may be essential, what can be shown using an example of islands. According to Oxford Dictionary (Internet edition) island is "a piece of land surrounded by water" so, as we can see, this element of landscape is defined by its neighborhood. The traditional, pixel-based classification is useless in such a case, taking into account only digital numbers of individual pixels. It is impossible to classify islands properly, using this kind of non-contextual algorithms. This paper presents …

Wybrane Przykłady Wykorzystania Morfologii Matematycznej W Przetwarzaniu Obrazów W Teledetekcji, Przemysław Kupidura, Jacek Marciniak, Piotr Koza

Przemysław Kupidura

The paper presents the results of the scientific project concerning the application of mathematical morphology in remote sensing. Mathematical morphology has been created in the sixties of the last century by two french scientists: Jean Serra and George Matheron. Since then, the great progress of this discipline leaded to creation of many different operators. Their most important advantage is taking into account such important features of objects in the image as size, shape, texture or neighbourhood. Thanks to that, selected morphological operators are used in digital image processing in many fields, also in remote sensing. However, the analyse shows even …