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  • 1
    Online Resource
    Online Resource
    Amsterdam, Netherlands :Elsevier,
    UID:
    almahu_9949318907102882
    Format: 1 online resource (864 pages) : , illustrations
    ISBN: 0-323-91471-3
    Series Statement: Micro and Nano Technologies
    Content: "Nanocarriers for Drug-Targeting Brain Tumors covers different types of nanocarriers and their design and development for targeting drugs to the brain. The book also presents case studies and the mechanism of action of nanocarriers in drug targeting to a specific site. This helps researchers and clinicians understand the design, development and mechanism of action of nanocarriers. As brain tumors continue to be a significant health problem globally, and very complex for targeting drugs, conventional dosage forms are not very effective and side-effects are a major concern. Functionalized nanocarriers can address these problems."--
    Additional Edition: Print version: Kumar, Lalit Nanocarriers for Drug-Targeting Brain Tumors San Diego : Elsevier,c2022 ISBN 9780323907736
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Cham :Springer,
    UID:
    almahu_BV046403846
    Format: 1 Online-Ressource (xix, 538 Seiten) : , Illustrationen, Diagramme, Karten (überwiegend farbig).
    ISBN: 978-3-030-32878-8
    Series Statement: Springer Climate
    Additional Edition: Erscheint auch als Druck-Ausgabe, Hardcover ISBN 978-3-030-32877-1
    Additional Edition: Erscheint auch als Druck-Ausgabe, Softcover ISBN 978-3-030-32880-1
    Language: English
    Subjects: Geography
    RVK:
    RVK:
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : MDPI - Multidisciplinary Digital Publishing Institute
    UID:
    gbv_1778487467
    Format: 1 Online-Ressource (264 p.)
    ISBN: 9783039212101 , 9783039212095
    Content: Above ground biomass has been listed by the Intergovernmental Panel on Climate Change as one of the five most prominent, visible, and dynamic terrestrial carbon pools. The increased awareness of the impacts of climate change has seen a burgeoning need to consistently assess carbon stocks to combat carbon sequestration. An accurate estimation of carbon stocks and an understanding of the carbon sources and sinks can aid the improvement and accuracy of carbon flux models, an important pre-requisite of climate change impact projections. Based on 15 research topics, this book demonstrates the role of remote sensing in quantifying above ground biomass (forest, grass, woodlands) across varying spatial and temporal scales. The innovative application areas of the book include algorithm development and implementation, accuracy assessment, scaling issues (local–regional–global biomass mapping), and the integration of microwaves (i.e. LiDAR), along with optical sensors, forest biomass mapping, rangeland productivity and abundance (grass biomass, density, cover), bush encroachment biomass, and seasonal and long-term biomass monitoring
    Note: English
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : MDPI - Multidisciplinary Digital Publishing Institute
    UID:
    gbv_1778494331
    Format: 1 Online-Ressource (420 p.)
    ISBN: 9783038978855 , 9783038978848
    Content: In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales
    Note: English
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Online Resource
    Online Resource
    MDPI - Multidisciplinary Digital Publishing Institute
    UID:
    edocfu_9959213100402883
    Format: 1 electronic resource (264 p.)
    ISBN: 3-03921-210-9
    Content: Above ground biomass has been listed by the Intergovernmental Panel on Climate Change as one of the five most prominent, visible, and dynamic terrestrial carbon pools. The increased awareness of the impacts of climate change has seen a burgeoning need to consistently assess carbon stocks to combat carbon sequestration. An accurate estimation of carbon stocks and an understanding of the carbon sources and sinks can aid the improvement and accuracy of carbon flux models, an important pre-requisite of climate change impact projections. Based on 15 research topics, this book demonstrates the role of remote sensing in quantifying above ground biomass (forest, grass, woodlands) across varying spatial and temporal scales. The innovative application areas of the book include algorithm development and implementation, accuracy assessment, scaling issues (local–regional–global biomass mapping), and the integration of microwaves (i.e. LiDAR), along with optical sensors, forest biomass mapping, rangeland productivity and abundance (grass biomass, density, cover), bush encroachment biomass, and seasonal and long-term biomass monitoring.
    Note: English
    Additional Edition: ISBN 3-03921-209-5
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    MDPI - Multidisciplinary Digital Publishing Institute
    UID:
    almahu_9949711519702882
    Format: 1 electronic resource (264 p.)
    ISBN: 3-03921-210-9
    Content: Above ground biomass has been listed by the Intergovernmental Panel on Climate Change as one of the five most prominent, visible, and dynamic terrestrial carbon pools. The increased awareness of the impacts of climate change has seen a burgeoning need to consistently assess carbon stocks to combat carbon sequestration. An accurate estimation of carbon stocks and an understanding of the carbon sources and sinks can aid the improvement and accuracy of carbon flux models, an important pre-requisite of climate change impact projections. Based on 15 research topics, this book demonstrates the role of remote sensing in quantifying above ground biomass (forest, grass, woodlands) across varying spatial and temporal scales. The innovative application areas of the book include algorithm development and implementation, accuracy assessment, scaling issues (local–regional–global biomass mapping), and the integration of microwaves (i.e. LiDAR), along with optical sensors, forest biomass mapping, rangeland productivity and abundance (grass biomass, density, cover), bush encroachment biomass, and seasonal and long-term biomass monitoring.
    Note: English
    Additional Edition: ISBN 3-03921-209-5
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    Online Resource
    Online Resource
    MDPI - Multidisciplinary Digital Publishing Institute
    UID:
    edoccha_9959213100402883
    Format: 1 electronic resource (264 p.)
    ISBN: 3-03921-210-9
    Content: Above ground biomass has been listed by the Intergovernmental Panel on Climate Change as one of the five most prominent, visible, and dynamic terrestrial carbon pools. The increased awareness of the impacts of climate change has seen a burgeoning need to consistently assess carbon stocks to combat carbon sequestration. An accurate estimation of carbon stocks and an understanding of the carbon sources and sinks can aid the improvement and accuracy of carbon flux models, an important pre-requisite of climate change impact projections. Based on 15 research topics, this book demonstrates the role of remote sensing in quantifying above ground biomass (forest, grass, woodlands) across varying spatial and temporal scales. The innovative application areas of the book include algorithm development and implementation, accuracy assessment, scaling issues (local–regional–global biomass mapping), and the integration of microwaves (i.e. LiDAR), along with optical sensors, forest biomass mapping, rangeland productivity and abundance (grass biomass, density, cover), bush encroachment biomass, and seasonal and long-term biomass monitoring.
    Note: English
    Additional Edition: ISBN 3-03921-209-5
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 8
    Book
    Book
    New Delhi :Chetana Publ.,
    UID:
    almafu_BV018821283
    Format: 132 S.
    Note: Zugl.: Jawaharlal Nehru, Überarb. Univ., Diss. 1975.
    Language: English
    Keywords: Hochschulschrift
    Library Location Call Number Volume/Issue/Year Availability
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  • 9
    Online Resource
    Online Resource
    [Place of publication not identified] :MDPI - Multidisciplinary Digital Publishing Institute,
    UID:
    almahu_9949507665102882
    Format: 1 online resource (420 pages)
    Content: In a rapidly changing world, there is an ever-increasing need to monitor the Earth's resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth's surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.
    Additional Edition: ISBN 3-03897-884-1
    Language: English
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  • 10
    Online Resource
    Online Resource
    [Place of publication not identified] :MDPI - Multidisciplinary Digital Publishing Institute,
    UID:
    edocfu_9961125015102883
    Format: 1 online resource (420 pages)
    Content: In a rapidly changing world, there is an ever-increasing need to monitor the Earth's resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth's surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.
    Additional Edition: ISBN 3-03897-884-1
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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