18 papers · ranked by Valyu relevance
Xiao Huang, Di Zhu, Fan Zhang, Tao Liu + 2 more
—The rapid development of remote sensing techniques provides rich, large-coverage, and high-temporal information of the ground, which can be coupled with the emerging deep learning approaches that enable latent features and hidden geographical patterns to be extracted. This study marks the first attempt to…
Viswadeep Lebakula, Kelly Sims, Andrew Reith, Amy Rose + 11 more
'Phil Coleman' 'Jason Kaufman' 'Marie Urban' 'Chris Jochem' 'Carrie Whitlock' 'Mitchell Ogden' 'Joe Pyle' 'Darrell Roddy' 'Justin Epting' 'Eddie Bright'] Oak Ridge National Laboratory (ORNL) annually develops the LandScan Global (LSG) dataset, a 30 arcsecond global gridded population dataset representing global ambient…
Ming‐Hsiang Tsou, Hao Zhang, Atsushi Nara, Su Yeon Han
This paper introduces a spatiotemporal analysis framework for estimating hourly changing population distribution in urban areas using geo-tagged tweets (the messages containing users' physical locations), land use data, and dasymetric maps. We collected geo-tagged social media (tweets) within the County of San Diego…
Pinki Mondal, Andrew J. Tatem, Abdisalan Mohamed Noor
A better understanding of the impact of global climate change requires information on the locations and characteristics of populations affected. For instance, with global sea level predicted to rise and coastal flooding set to become more frequent and intense, high-resolution spatial population datasets are…
Agatha C. H. de Mattos, Gavin McArdle, Michela Bertolotto
Over a billion people live in slums in settlements that are often located in ecologically sensitive areas and hence highly vulnerable. This is a problem in many parts of the world, but it is more prominent in low-income countries, where in 2014 on average 65% of the urban population lived in slums. As a result…
Brendan F Fries, Carlos A Guerra, Guillermo A García, Sean L Wu + 7 more
Geospatial datasets of population are becoming more common in models used for health policy. Publicly-available maps of human population in sub-Saharan Africa make a consistent picture from inconsistent census data, and the techniques they use to impute data makes each population map unique. Each mapping model explains…
Fanghao Zhang, Feirui Jiang, Yuanshuo Zhang, Junzu Xu + 3 more
The precise assessment of earthquake disasters requires high accuracy in population spatialization data. With the rapid development of technologies such as remote sensing and social sensing (social perception), and the growing availability of large-scale geographic data, high-resolution remote sensing data and vast…
Chen Liping, Sun Yujun, Sajjad Saeed, Andreas Westergaard-Nielsen
Land use and land cover change research has been applied to landslides, erosion, land planning and global change. Based on the CA-Markov model, this study predicts the spatial patterns of land use in 2025 and 2036 based on the dynamic changes in land use patterns using remote sensing and geographic information system.…
Martí Bosch
Quantifying the spatial pattern of landscapes has become a common task of many studies in landscape ecology. Most of the existing software to compute landscape metrics is not well suited to be used in interactive environments such as Jupyter notebooks nor to be included as part of automated computational workflows.…
Alemayehu Midekisa, Felix Holl, David J. Savory, Ricardo Andrade-Pacheco + 4 more
'Ricardo Andrade-Pacheco' 'Peter W. Gething' 'Adam Bennett' 'Hugh J. W. Sturrock' 'Guy J.-P. Schumann'] Quantifying and monitoring the spatial and temporal dynamics of the global land cover is critical for better understanding many of the Earth’s land surface processes. However, the lack of regularly updated…
Nicholas J. Murray, David A. Keith, Daniel Simpson, John H. Wilshire + 1 more
Recent assessments of progress towards global conservation targets have revealed a paucity of indicators suitable for assessing the changing state of ecosystems. Moreover, land managers and planners are often unable to gain timely access to maps they need to support their routine decision-making. This deficiency is…
Selçuk Reis
Mapping land use/land cover (LULC) changes at regional scales is essential for a wide range of applications, including landslide, erosion, land planning, global warming etc. LULC alterations (based especially on human activities), negatively effect the patterns of climate, the patterns of natural hazard and…
John W. Coulston, Nicola Zaccarelli, Kurt H. Riitters, Frank Koch + 1 more
'Giovanni Zurlini'] Multiple-scale and broad-scale assessments often require rescaling the original data to a consistent grain size for analysis. Rescaling categorical raster data by spatial aggregation is common in large area ecological assessments. However, distortion and loss of information are associated with…
P. Reichenbach, C. Busca, A. C. Mondini, M. Rossi
The spatial distribution of landslides is influenced by different climatic conditions and environmental settings including topography, morphology, hydrology, lithology, and land use. In this work, we have attempted to evaluate the influence of land use change on landslide susceptibility (LS) for a small study area…
Yadvendra Gurjar, Ruoni Wan, Ehsan Farahbakhsh, Rohitash Chandra
As a developing country, Fiji is facing rapid urbanisation, which is visible in the massive development projects that include housing, roads, and civil works. In this study, we present machine learning and remote sensing frameworks to compare land use and land cover change from 2013 to 2024 in Nadi, Fiji. The ultimate…
Tamali Mondal, Parabita Basu, Qamar Qureshi, Yadvendradev Jhala
Human consumption and management of land, i.e., how people transmit to a landscape as a source of livelihood, shelter, recreation, or industry, are powerful forces shaping patterns and dynamics in human-occupied landscapes. Understanding and managing landscape change, therefore, requires a thorough knowledge of the…
Jie Wang, Luyan Ji, Xiaomeng Huang, Haohuan Fu + 2 more
'Congcong Li'] There is a trend to acquire high accuracy land-cover maps using multi-source classification methods, most of which are based on data fusion, especially pixelor feature-level fusions. A probabilistic graphical model (PGM) approach is proposed in this research for 30 m resolution land-cover mapping with…
Ioannis Manakos, Christina Karakizi, Giannis Gkinis, Κωνσταντίνος Καράντζαλος
Across globe and space agencies nations recognize the importance of homogenized land cover information, prone to regular updates, both in the context of thematic and spatial resolutions. Recent sensor advances and the free distribution policy promote the utilization of spaceborne products in an unprecedented pace into…