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Characterizing Post Grazing Land Cover Change Trajectories On Santa Cruz Island Ca With Multitemporal Landsat Data And Spectral Mixture Analysis
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Book Synopsis Characterizing Post-grazing Land Cover Change Trajectories on Santa Cruz Island, CA with Multitemporal Landsat Data and Spectral Mixture Analysis by : Ryan L. Perroy
Download or read book Characterizing Post-grazing Land Cover Change Trajectories on Santa Cruz Island, CA with Multitemporal Landsat Data and Spectral Mixture Analysis written by Ryan L. Perroy and published by . This book was released on 2004 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Future of Drylands by : Cathy Lee
Download or read book The Future of Drylands written by Cathy Lee and published by Springer Science & Business Media. This book was released on 2008-10-29 with total page 816 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drylands have been cradles to some of the world’s greatest civilizations, and contemporary dryland communities feature rich and unique cultures. Dryland ecosystems support a surprising amount of biodiversity. Desertification, however, is a significant land degradation problem in the arid, semi-arid and dry sub-humid regions of the world. Deterioration of soil and plant cover has adversely affected 70% of the world’s drylands as a result of extended droughts as well as mismanagement of range and cultivated lands. The situation is likely to worsen with high population growth rates and accompanying land-use conflicts. The contributions to The Future of Drylands – an international scientific conference held under the leadership of UNESCO – address these issues and offer practical solutions for combating desertification along with conserving and sustainably managing dryland ecosystems. Major themes include the conservation of dryland biological and cultural diversity and the human dryland interface. This volume documents how our improved understanding of drylands provides insight into the health and future prospects of these precious ecosystems that should help ensure that dryland communities enjoy a sustainable future.
Book Synopsis Guide to Geography Programs in the Americas by :
Download or read book Guide to Geography Programs in the Americas written by and published by . This book was released on 2005 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Operational Monitoring of Land-cover Change Using Multitemporal Remote Sensing Data by : John Rogan
Download or read book Operational Monitoring of Land-cover Change Using Multitemporal Remote Sensing Data written by John Rogan and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advances in characterizing and monitoring land cover/use and associated ecosystem changes using remote sensing data by : George Xian
Download or read book Advances in characterizing and monitoring land cover/use and associated ecosystem changes using remote sensing data written by George Xian and published by Frontiers Media SA. This book was released on 2024-01-09 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Land Change Science by : Garik Gutman
Download or read book Land Change Science written by Garik Gutman and published by Springer Science & Business Media. This book was released on 2012-03-24 with total page 474 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is a synthesis of the NASA funded work under the Land-Cover and Land-Use Change Program. Hundreds of scientists have worked for the past eight years to understand one of the most important forces that is changing our planet-human impacts on land cover, that is land use. Its contributions span the natural and the social sciences, and apply state-of-the-art techniques for understanding the earth: satellite remote sensing, geographic information systems, modeling, and advanced computing. It brings together detailed case studies, regional analyses, and globally scaled mapping efforts. This is the most organized effort made to understand the dominant force that has been responsible for changing the Earth’s biosphere. Audience: This publication will be of interest to students, scientists, and policy makers. This volume includes a CD-ROM containing full color images of a selection of illustrations which are printed in black-and-white in the book.
Book Synopsis Remote Sensing of Land Use and Land Cover in Mountain Region by : Duo Chu
Download or read book Remote Sensing of Land Use and Land Cover in Mountain Region written by Duo Chu and published by Springer. This book was released on 2019-08-07 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the spatial and temporal dynamics of land use and land cover in the central Tibetan Plateau during the last two decades, based on various types of satellite data, long-term field investigation and GIS techniques. Further, it demonstrates how remote sensing can be used to map and characterize land use, land cover and their dynamic processes in mountainous regions, and to monitor and model relevant biophysical parameters. The Tibetan Plateau, the highest and largest plateau on the Earth and well known as “the roof of the world,” is a huge mountainous area on the Eurasian continent and covers millions of square kilometers, with an average elevation of over 4000 m. After providing an overview of the background and an introduction to land use and land cover change, the book analyzes the current land use status, dynamic changes and spatial distribution patterns of different land-use types in the study area, using various types of remotely sensed data, digital elevation models and GIS spatial analysis methods to do so. In turn, it discusses the main driving forces, based on the main physical environment variables and socioeconomic data, and provides a future scenario analysis of land use change using a Markov chain model. Given its scope, it provides a valuable reference guide for researchers, scientists and graduate students working on environmental change in mountainous regions around the globe, and for practitioners working at government and non-government agencies.
Download or read book Final Report written by William Likens and published by . This book was released on 1982 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Combining Satellite Data with Ancillary Data to Produce a Refined Land-use/land-cover Map by : J. S. Stewart
Download or read book Combining Satellite Data with Ancillary Data to Produce a Refined Land-use/land-cover Map written by J. S. Stewart and published by . This book was released on 1998 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Exploiting the Spatial Information in High Resolution Satellite Data and Utilising Multi-Source Data for Tropical Mountain Forest and Land Cover Mapping by : Anke Gleitsmann
Download or read book Exploiting the Spatial Information in High Resolution Satellite Data and Utilising Multi-Source Data for Tropical Mountain Forest and Land Cover Mapping written by Anke Gleitsmann and published by ibidem-Verlag / ibidem Press. This book was released on 2012-02-24 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Die Cordillera Central der Dominikanischen Republik ist eine Quelle wichtiger natürlicher Ressourcen – vor allem Wasser – für dieses karibische Land. Im oberen Einzugsgebiet des Río Yaque del Norte wurde im Laufe des 20. Jahrhunderts ein großer Teil der natürlichen Wälder abgeholzt und durch Weide- und Ackerland sowie Sekundärvegetation ersetzt. Entwaldung und nicht nachhaltige Landnutzung auf den steilen Hängen dieses Gebietes haben zu Erosion und Landdegradierung geführt. Es gibt aber auch noch verschiedene primäre Bergwälder, darunter kleine Nebelwaldbereiche mit bedrohten endemischen Arten. Fernerkundungsdaten sind eine unverzichtbare Quelle für flächendeckende räumliche Informationen, die als Basis für Raumnutzungspläne und den Schutz bedrohter Ökosysteme benötigt werden. Die Nutzbarkeit von Satellitendaten mittlerer Auflösung (z.B. Landsat) für die Kartierung der Vegetationstypen des Untersuchungsgebietes ist begrenzt, weil das kleinräumige Mosaik verschiedener Landbedeckungstypen (wie in vielen tropischen Gebirgsbereichen) zu einem großen Anteil von Mischpixeln in diesen Daten führt. Die neue Generation kommerzieller hochauflösender Satelliten wie IKONOS (1 m bis 4 m Auflösung) ermöglicht eine detailliertere Kartierung von kleineren Interessensgebieten, aber die automatische Klassifizierung räumlich hochaufgelöster Daten beinhaltet auch neue Herausforderungen. Diese Arbeit beschäftigt sich daher hauptsächlich mit der Optimierung von Methoden zur Ausnutzung der räumlichen Information in hochauflösenden Satellitendaten für die Kartierung von tropischen Bergwäldern und anderen Landoberflächen.
Book Synopsis The Detectability of Land Use/land Cover Change in an Area of Humid Tropics by : Francis Enwelumokwu Okoye
Download or read book The Detectability of Land Use/land Cover Change in an Area of Humid Tropics written by Francis Enwelumokwu Okoye and published by . This book was released on 1979 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Mapping Forest Changes Using Multi-temporal Remote Sensing Images by : Yanlei Chen
Download or read book Mapping Forest Changes Using Multi-temporal Remote Sensing Images written by Yanlei Chen and published by . This book was released on 2014 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: We developed a semi-automatic algorithm named Berkeley Indices Trajectory Extractor (BITE) to detect forest disturbances, especially slow-onset disturbances such as insect mortality, from time series of Landsat 5 Thematic Mapper (TM) images. BITE is a streamlined process that features trajectory extraction and interpretation of multiple spectral indices followed by an integration of all indices. The algorithm was tested over Grand County in Colorado, located in the Southern Rocky Mountains Ecoregion, where forests dominated by lodgepole pine have been under mountain pine beetle attack since 2000. We produced a disturbance map using BITE with an identification accuracy of 94.7% assessed from 602 validation sample pixels. The algorithm shows its robustness in deriving forest disturbance type and timing with the presence of different levels of atmospheric conditions, noises, pixel misregistration and residual cloud/snow cover in the imagery. Outputs of the BITE algorithm could be used in studies designed to increase understanding of the mechanisms of mountain pine beetle dispersal and tree mortality, as well as other types of forest disturbances. Large remote sensing datasets, that either cover large areas or have high spatial resolution, are often a burden for information mining for scientific studies. Here, we present an approach that conducts clustering after gray-level vector reduction. In this manner, the speed of clustering can be considerably improved. The approach features applying eigenspace transformation to the dataset followed by compressing the data in the eigenspace and storing them in coded matrices and vectors. The clustering process takes advantage of the reduced size of the compressed data and thus reduces computational complexity. We name this approach Clustering Based on Eigen Space Transformation (CBEST). In our experiment with a subscene of Landsat Thematic Mapper (TM) imagery, CBEST was found to be able to improve speed considerably over conventional K-means as the volume of data to be clustered increases. We assessed information loss and several other factors. In addition, we evaluated the effectiveness of CBEST in mapping land cover/use with the same image that was acquired over Guangzhou City, South China and an AVIRIS hyperspectral image over Cappocanoe County, Indiana. Using reference data we assessed the accuracies for both CBEST and conventional K-means and we found that the CBEST was not negatively affected by information loss during compression in practice. We then applied CBEST in mapping the forest change from 1986-2011 for the entire state of California, USA with over 400 Landsat TM images. We discussed potential applications of the fast clustering algorithm in dealing with large datasets in remote sensing studies. We present an efficient approach for a practice of large-area mapping of forest changes based on the Clustering Based on Eigen Space Transformation (CBEST) algorithm using remote sensing. By analyzing 450 Landsat Thematic Mapper (TM) satellite images from 1986 to 2011 with a five-year interval covering the entire state of California, USA, we derived a forest change type map, a forest loss map and a forest gain map. Although California has 99.6 million acres land area in total and the spatial resolution of Landsat TM is 30m, the computing time of the task took only 10 hours in a computer with an Intel 2.8 Ghz i5 CPU and 8 Gigabytes RAM. The overall accuracy of the forest cover in year 2011 was reported as 92.9% " 1.6%. We found that the estimated forest area changed from 28.20 " 1.98 million acres to 28.05 " 1.98 million acres from 1986-2011. In particular, our rough estimate indicates that each year California's forest experienced loss of 92 thousand acres and recovery of 85 thousand acres, resulting in seven thousand acres forest loss per year. In addition, during 1986-2011, around 12% of the forestland experienced changes, in which the change was 4% each for deforestation, afforestation and deforestation then recovered respectively. We concluded that the forestland in California had been managed in a sustainable manner over the 25 years, since no significantly directional changes were observed. Our approach made a tighter estimate of the true canopy coverage such that 29% of land in California is forestland, comparing with the statistics of 33% and 40% made by previous studies that had lower spatial resolution and shorter temporal coverage.
Book Synopsis Extracting Land Cover Change Classes in the Cosumnes River Watershed from Landsat TM/ETM+ Images Using Spectral Indices by : Nina Vasilievna Noujdina
Download or read book Extracting Land Cover Change Classes in the Cosumnes River Watershed from Landsat TM/ETM+ Images Using Spectral Indices written by Nina Vasilievna Noujdina and published by . This book was released on 2003 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Multitemporal Analysis of Landsat Data for Computer Assisted Land Use and Land Cover Mapping in Connecticut by : James L. Callahan
Download or read book A Multitemporal Analysis of Landsat Data for Computer Assisted Land Use and Land Cover Mapping in Connecticut written by James L. Callahan and published by . This book was released on 1992 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Characterizing Conditions of California Sage Scrub Communities in Mediterranean-type Ecosystems Using Remote Sensing by : Yuki Hamada
Download or read book Characterizing Conditions of California Sage Scrub Communities in Mediterranean-type Ecosystems Using Remote Sensing written by Yuki Hamada and published by . This book was released on 2010 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Past studies indicate that fractional cover of plant life forms is an effective measure for quantifying CSS community integrity, and remote sensing is the only means to estimate spatially exhaustive cover fractions cost-effectively over large extent. Among the remote sensing approaches tested, object-based image analysis using pansharpened QuickBird imagery shows the most promise for estimating life-form fractional cover within CSS communities because of its high accuracy (e.g., RMSE as low as 6.4%) and robustness in estimating cover fractions and ability of providing life-form-level landscape metrics. Multiple Endmember Spectral Mixture Analysis using SPOT imagery is capable of estimating cover fractions with comparable accuracy and is beneficial for retrospective analysis for life-form cover changes and cost-effective ecological monitoring. Using spatially exhaustive life-form cover fractions, maps indicating CSS community conditions and species' life-form cover preference were generated. Such maps can fill information gaps between field-based data and vegetation type maps and provide valuable information about habitat recovery, habitat suitability, and ecological integrity of CSS communities. By combining these methods, more effective CSS community monitoring can be achieved.
Book Synopsis Technical Guide for Change Detection Using Multi-temporal Landsat TM Data by :
Download or read book Technical Guide for Change Detection Using Multi-temporal Landsat TM Data written by and published by . This book was released on 1998 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Remote Sensing for Monitoring Regional Carbon Dynamics Associated with Land Cover and Land Use Change Along the Mesoamerican Biological Corridor by : Daniel J. Hayes
Download or read book Remote Sensing for Monitoring Regional Carbon Dynamics Associated with Land Cover and Land Use Change Along the Mesoamerican Biological Corridor written by Daniel J. Hayes and published by . This book was released on 2007 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an important regional case study among global-wide efforts to understand land cover and land use change and its effects on terrestrial carbon dynamics, the objective of this research was to develop and test models based on high temporal frequency MODIS data for monitoring land cover changes and modeling associated carbon flux over tropical Central America. The first chapter introduces the issue involved with the development of a methodology for scaling observations of changes in tropical forest cover to large areas at high temporal frequency from coarse resolution satellite imagery. The approach for estimating proportional forest cover change as a continuous variable was based on a regression model that relates multi-spectral, multi-temporal MODIS data, transformed to optimize the spectral detection of vegetation changes, to reference change data sets derived from a Landsat data record for an individual study site. Chapter 2 reports on a series of fundamental analyses designed to test and compare the utility of various MODIS data and products for expanding the forest cover change models over multiple study sites and time periods. The study described in Chapter 3 integrates satellite-derived data sets on land cover and land use change with field-based parameters on terrestrial carbon stocks and flux in a simple accounting model to track carbon dynamics associated with these changes.