Creating Cloud-free Landsat ETM+ Data Sets in Tropical Landscapes
Author | : Sebastian Martinuzzi |
Publisher | : |
Total Pages | : 20 |
Release | : 2007 |
Genre | : Landsat satellites |
ISBN | : |
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Author | : Sebastian Martinuzzi |
Publisher | : |
Total Pages | : 20 |
Release | : 2007 |
Genre | : Landsat satellites |
ISBN | : |
Author | : Ph.D., Prasad S. Thenkabail |
Publisher | : CRC Press |
Total Pages | : 869 |
Release | : 2015-10-02 |
Genre | : Technology & Engineering |
ISBN | : 1482217988 |
A volume in the three-volume Remote Sensing Handbook series, Land Resources Monitoring, Modeling, and Mapping with Remote Sensing documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Remotely Sensed Data Characterization, Classification, and Accuracies, and Remo
Author | : Silvia Macchi |
Publisher | : Springer Science & Business Media |
Total Pages | : 258 |
Release | : 2014-02-24 |
Genre | : Science |
ISBN | : 331900672X |
In recent decades, extreme rains and drought have struck urban regions in Africa like never before. Nevertheless, limited information is available on which to base development of early warning systems, identification of high-risk zones and formulation of local action plans. This book is about how to build the knowledge necessary for planning adaptation to climate change in Sub-Saharan cities. It brings together lessons learned from international development actions conducted by a number of scholars in disciplines ranging from meteorology and hydrogeology to urban planning and environmental management. Selected methods to assess the impacts of extreme weather and ecological stress are presented along with possible approaches to improve the adaptive capacity of Sub-Saharan cities through institutional measures at the local government level. The book is addressed to graduate students, researchers and practitioners interested in enhancing their knowledge and skills in order to integrate climate change into applied research and development projects in urban Africa.
Author | : Sebastian Martinuzzi |
Publisher | : |
Total Pages | : 12 |
Release | : 2007 |
Genre | : Landsat satellites |
ISBN | : |
Author | : Caryl L. Elzinga |
Publisher | : DIANE Publishing |
Total Pages | : 190 |
Release | : 1998-05 |
Genre | : |
ISBN | : 9780788148378 |
This annotated bibliography documents literature addressing the design and implementation of vegetation monitoring. It provides resources managers, ecologists, and scientists access to the great volume of literature addressing many aspects of vegetation monitoring: planning and objective setting, choosing vegetation attributes to measure, sampling design, sampling methods, statistical and graphical analysis, and communication of results. Over half of the 1400 references have been annotated. Keywords pertaining to the type of monitoring or method are included with each bibliographic entry. Keyword index.
Author | : Lalit Kumar |
Publisher | : MDPI |
Total Pages | : 420 |
Release | : 2019-04-23 |
Genre | : Science |
ISBN | : 3038978841 |
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.