Harmonizing Earth Observation Data for Enhanced Spatial Analysis

Nyhet

Häftad, Engelska, 2026

2 229 kr

Kommande

Harmonizing Earth Observation Data for Enhanced Spatial Analysis explores the critical aspects of Earth observation (EO) data and its pivotal role in spatial analysis. The book begins by addressing the quality aspects of EO data, emphasizing the importance of reliable and accurate information for meaningful analysis. It reviews the interaction and integration of various EO datasets, highlighting the necessity of combining diverse data sources to enhance analytical outcomes. The text covers essential techniques such as downsampling, generalization, and upsampling, providing insights into how these processes can optimize data usability while maintaining integrity. A significant focus is placed on harmonization, detailing strategies to reduce uncertainty and improve data consistency across multidimensional datasets. This harmonization is crucial for effective spatial analysis, which relies on coherent datasets to derive actionable insights. Additionally, the book discusses the interplay between EO and geospatial data, illustrating how their integration can enhance spatial analysis capabilities. It presents comprehensive workflows and tools that facilitate advanced spatial analysis, equipping researchers and practitioners with the necessary resources to harness EO data effectively. The book serves as a valuable resource to emphasize the importance of high-quality, integrated datasets in fostering informed decision-making and advancing research in environmental monitoring, urban planning, and resource management.

Comprehensive understanding of how to harmonize and integrate various types of EO data, enabling readers to effectively combine spatial and temporal datasets from different sources for more accurate spatial analysis and decision-making
Provides a diverse, multidisciplinary range of perspectives, methodologies, and case studies, which ensures that the content is both rich and applicable to a wide range of geospatial challenges
Equips both EO/geospatial specialists and non-specialists with the knowledge to understand, interpret, and seamlessly integrate various types of spatial data and ultimately produce results that better meet end-user expectations and make more informed decisions

Produktinformation

Utgivningsdatum2026-11-01
Mått152 x 229 x undefined mm
FormatHäftad
SpråkEngelska
SerieEarth Observation
Antal sidor325
FörlagElsevier Science
ISBN9780443417306

Tillhör följande kategorier

Företagsekonomi inom Ekonomi och Ledarskap
Geovetenskap inom Naturvetenskap och teknik
Rymdforskning inom Naturvetenskap och teknik
Affärsapplikationer inom Data och IT

Tomaž Podobnikar is a geospatial information expert, currently work as lecturer at Faculty of Information Studies, and as undersecretary at Ministry of Spatial Planning, both Slovenia. He has experience in the areas of geospatial, environmental, natural and social sciences, EO, hazard and risk management, etc. from academic, governmental, international and consulting organizations. Career highlights include fieldwork in ecological, archaeological, anthropological and geomorphological mapping, geodetic survey and humanitarian, in resource-limited settings. Documented methods: [1] spatial data integration/conflation with semantic enrichment to reduce the cost of DEM up to 25-times, realized for the National DEM and implemented into the EU and Google Earth models; [2] geomorphometry based index for feature detection and recognition, used in the Esri World Topographic Map; [3] methodology to process geospatial data with special tools to make them ‘analytics ready’, realized for the spatial data infrastructure. Awarded with over 25 competitive grants including Skolkovo Innovation Center and Fulbright.