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Self-supervised representation learning for geospatial objects: A survey [PDF]
Information FusionThe proliferation of various data sources in urban and territorial environments has significantly facilitated the development of geospatial artificial intelligence (GeoAI) across a wide range of geospatial applications. However, geospatial data, which is
Weiming Huang, Gao Cong, Yile Chen
exaly +2 more sources
ISPRS International Journal of Geo-Information, 2023 Explainable Artificial Intelligence (XAI) has the potential to open up black-box machine learning models. XAI can be used to optimize machine learning models, to search for scientific findings, or to improve the understandability of the AI system for the
Cedric Roussel, Klaus Bohm
exaly +2 more sources
Remote Sensing, 2023 The level of destruction caused by an earthquake depends on a variety of factors, such as magnitude, duration, intensity, time of occurrence, and underlying geological features, which may be mitigated and reduced by the level of preparedness of risk ...
Maryna Batur +2 more
exaly +2 more sources
GEOSPATIAL DISTRIBUTIONS OF MALARIA AND ITS VULNERABILITY IN MINJIBIR, KANO STATE [PDF]
Acta Scientifica Malaysia, 2021 Malaria is considered to be a deadly disease spread in almost all parts of Nigeria, especially in the Northern parts. This has to do with the climatic influence of the north-easterlies and the hot dry savannah couple with the attitude of health ...
Ibrahim Sufiyan +2 more
doaj +1 more source
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning [PDF]
IEEE International Conference on Computer Vision, 2022 Large, pretrained models are commonly finetuned with imagery that is heavily augmented to mimic different conditions and scales, with the resulting models used for various tasks with imagery from a range of spatial scales.
Colorado Reed +9 more
semanticscholar +1 more source
Geospatial Analysis in Web Browsers—Comparison Study on WebGIS Process-Based Applications
ISPRS International Journal of Geo-Information, 2023 With the rapid development of internet technologies in recent years, the shift from the desktop to the web platform can be seen within geospatial analysis. While analytical tools, such as buffer or clip, are routinely used in desktop environments, WebGIS
Rostislav Netek +3 more
doaj +1 more source
Predicting flood damage probability across the conterminous United States
Environmental Research Letters, 2022 Floods are the leading cause of natural disaster damages in the United States, with billions of dollars incurred every year in the form of government payouts, property damages, and agricultural losses. The Federal Emergency Management Agency oversees the
Elyssa L Collins +6 more
doaj +1 more source
Accuracy Evaluation of SRTM (used in Google Earth) by Comparison with National Topographic maps (1:50,000) in North of Iraq [PDF]
Engineering and Technology Journal, 2010 Digital Elevation Models (DEM) of a region can be generated from stereopairs of satellite images , enables the work to improve decision-making, take faster and more informed action based on geospatial information, but some times these data may be ...
Haval Abdul-Jabbar Sadeq
doaj +1 more source
Energies, 2021 Mounting interest in ambitious clean energy goals is exposing critical gaps in our understanding of onshore wind power potential. Conventional approaches to evaluating wind power technical potential at the national scale rely on coarse geographic ...
Dylan Harrison-Atlas +2 more
doaj +1 more source
ISPRS International Journal of Geo-Information, 2022 Energy is a fundamental need of modern society and a basis for economic and social development, and one of the major Sustainable Development Goals (SDG), particularly SDG7.
Hari Krishna Dhonju +2 more
doaj +1 more source