Results 21 to 30 of about 199,814 (261)
CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations [PDF]
International Conference on Machine Learning, 2023 Geo-tagged images are publicly available in large quantities, whereas labels such as object classes are rather scarce and expensive to collect. Meanwhile, contrastive learning has achieved tremendous success in various natural image and language tasks ...
Gengchen Mai +4 more
semanticscholar +1 more source
Catchment-Scale Flood Modelling in Data-Sparse Regions Using Open-Access Geospatial Technology
ISPRS International Journal of Geo-Information, 2020 Consistent data are seldom available for whole-catchment flood modelling in many developing regions, hence this study aimed to explore an integrated approach for flood modelling and mapping by combining available segmented hydrographic, topographic ...
Iguniwari Thomas Ekeu-wei +1 more
doaj +1 more source
Geocarto International, 2023 Wise-use of land resources determines sustainability of environment and human welfare. But, the ongoing land-use change constrains environmental sustainability.
Aden Abdurahman +3 more
doaj +1 more source
District Level Geospatial Analysis of Utilization of ICDS Services Among Children in India
Frontiers in Public Health, 2022 IntroductionIntegrated Child Developmental Services (ICDS) is the most extensive government-run health program for children with its foot spread across the complete Indian Territory.
Pradeep Kumar +3 more
doaj +1 more source
Urban Science, 2022 Coastal areas are fragile and changeable due to natural and anthropogenic factors. The resulting changes could have a significant impact on the coastal community.
Khairul Nizam Abdul Maulud +8 more
doaj +1 more source
Foundation models for geospatial reasoning: assessing the capabilities of large language models in understanding geometries and topological spatial relations [PDF]
International Journal of Geographical Information ScienceAI foundation models have demonstrated some capabilities for the understanding of geospatial semantics. However, applying such pre-trained models directly to geospatial datasets remains challenging due to their limited ability to represent and reason ...
Yuhan Ji +4 more
semanticscholar +1 more source
Geospatial Health, 2022 The rapid transmission rate of coronavirus disease 2019 (COVID-19) is multi-factorial but primarily due to population mobility and aggregation. This research aimed at estimating the rate based on risk mapping and investigation of geospatial distribution.
Andang Suryana Soma +6 more
doaj +1 more source
Google Earth Engine: Planetary-scale geospatial analysis for everyone
, 2017 Google Earth Engine is a cloud-based platform for planetary-scale geospatial analysis that brings Google's massive computational capabilities to bear on a variety of high-impact societal issues including deforestation, drought, disaster, disease, food ...
N. Gorelick +5 more
semanticscholar +1 more source
GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT [PDF]
arXiv.org, 2023 Decision-makers in GIS need to combine a series of spatial algorithms and operations to solve geospatial tasks. For example, in the task of facility siting, the Buffer tool is usually first used to locate areas close or away from some specific entities ...
Yi-Fan Zhang +4 more
semanticscholar +1 more source
Deriving cues from human cognition for the modelling of shack boundaries in aerial imagery
South African Journal of Science, 2016 Organic studies inspire cues for modelling logic in image processing and become a basis for the development of novel remote-sensing algorithms. Examples of applications of such paradigms include the growing application of techniques such as object ...
Moreblessings Shoko, Julian L. Smit
doaj +1 more source