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A selection of annotated references to unclassified reports and journal articles that were introduced into the NASA scientific and technical information system and announced in Scientific and technical aerospace reports (STAR) and International Aerospace Abstracts (IAA).
Effectively Manage Wetland Resources Using the Best Available Remote Sensing TechniquesUtilizing top scientists in the wetland classification and mapping field, Remote Sensing of Wetlands: Applications and Advances covers the rapidly changing landscape of wetlands and describes the latest advances in remote sensing that have taken place over the pa
The purpose of this investigation was to research and document the application of remote sensing technology to wetland detection and mapping. Various remote sensing sensors and platforms are evaluated (1) for suitability to monitor specific wetlands systems; (2) for their effectiveness in detailing the extent of wetlands; (3) for their capability to monitor changes; and (4) for the resulting relative cost-benefits of implementing and updating wetlands databases. The environment to be monitored consists of physiographic and ecological wetland resources affected directly or indirectly by anthropogenic activity. Air craft and satellite remote sensing can be used to record and assess the condition of these resources. Monitoring of environmental conditions is based on the observation and interpretation of certain landscape features. Although some forms of monitoring are continuous, resource monitoring from aircraft and satellite platforms is periodic in nature, with change being documented through a series of observations over a given span of time. This report summarizes the findings of a bibliographic search on the methods used to inventory and/or detect changes in wetland environments. The bibliography contains numerous citations and is not intended to be all-inclusive. Books, major journals, and symposium proceedings were examined. The findings documented will provide the potential user with a basic understanding of remote sensing technology as it is applied to wetland monitoring and trend analysis.
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.