Results 11 to 20 of about 192,763 (193)
Heliyon, 2023 Forests provide a wide range of ecosystem services. Despite these facts, the expansion of agriculture and settlement at the expense of forest resources has threatened the forest resources and results in biodiversity loss.
Daniel Ayalew Mengistu +4 more
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Visualization of and Access to CloudSat Vertical Data through Google Earth [PDF]
, 2007 Online tools, pioneered by the Google Earth (GE), are facilitating the way in which scientists and general public interact with geospatial data in real three dimensions.
Aijun Chen +6 more
core +2 more sources
Geospatial Data Portals and Open Geospatial Data
, 2023 Data is valuable when used to make better decisions. The true value of data can only be unlocked if it is re-used and shared, not siloed. Data sharing is the process of making the same data resources available to multiple applications, users, or organizations.
openaire +1 more source
Active and Low-Cost Hyperspectral Imaging for the Spectral Analysis of a Low-Light Environment
Sensors, 2023 Hyperspectral imaging is capable of capturing information beyond conventional RGB cameras; therefore, several applications of this have been found, such as material identification and spectral analysis.
Yang Tang +5 more
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International Journal of Health Geographics, 2018 Background Conducting surveys in low- and middle-income countries is often challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative sample.
Robert F. Chew +6 more
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EVALUATION OF UAV-BORNE PHOTOGRAMMETRY AND LASER SCANNING FOR 3D TOPOGRAPHIC CHANGE ANALYSIS AT AN ACTIVE ROCK GLACIER [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Point clouds derived from UAV-borne laser scanning and UAV-borne photogrammetry provide new opportunities for 3D topographic monitoring in geographic research. The airborne acquisition strategy overcomes common challenges of ground-based techniques, such
V. Zahs +9 more
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Artificial neural networks in geospatial analysis [PDF]
, 2017 Artificial neural networks are computational models widely used in geospatial analysis for data classification, change detection, clustering, function approximation, and forecasting or prediction. There are many types of neural networks based on learning
Bishop, Carpenter, Carpenter, Ripley
core +1 more source
, 2018 Scholia is a website that displays information about scientific works represented in Wikidata. It extracts the information via queries to the extended SPARQL endpoint Wikidata Query Service (WDQS). Scholia handles geospatial data that may be rendered on maps with the default map output format available in WDQS. We describe the use of geospatial data in
Nielsen, Finn Årup +2 more
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Sensors, 2020 With the rapid development of LBSs (location-based services) in recent years, researchers have increasingly taken an interest in trying to make travel routes more practicable and individualized.
Tao Wu +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Impervious surfaces are essential elements for the urban ecological environment. Machine-learning-based approaches have achieved successful breakthroughs in impervious surface extraction.
Yiliang Wan +4 more
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