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Neural networks for geospatial data. [PDF]
J Am Stat AssocAnalysis of geospatial data has traditionally been model-based, with a mean model, customarily specified as a linear regression on the covariates, and a covariance model, encoding the spatial dependence. We relax the strong assumption of linearity and propose embedding neural networks directly within the traditional geostatistical models to accommodate
Zhan W, Datta A.
europepmc +4 more sources
ISPRS International Journal of Geo-Information, 2022 Identifying suitable watersheds is a prerequisite to operationalizing planning interventions for agricultural development. With the help of geospatial tools, this paper identified suitable watersheds across Nigeria using biophysical parameters to aid ...
Pranay Panjala +5 more
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Measuring Inequality Using Geospatial Data [PDF]
The World Bank Economic Review, 2020 Abstract The main challenge in studying inequality is limited data availability, which is particularly problematic in developing countries. This study constructs a measure of light-based geospatial income inequality (LGII) for 234 countries/territories from 1992 to 2013 using satellite data on night-lights and gridded population data ...
Jaqueson K Galimberti +2 more
openaire +5 more sources
A Review of Mobile Mapping Systems: From Sensors to Applications
Sensors, 2022 The evolution of mobile mapping systems (MMSs) has gained more attention in the past few decades. MMSs have been widely used to provide valuable assets in different applications.
Mostafa Elhashash +2 more
doaj +1 more source
Measurement of rock glacier surface change over different timescales using terrestrial laser scanning point clouds [PDF]
Earth Surface Dynamics, 2021 Topographic change at a given location usually results from multiple processes operating over different timescales. However, interpretations of surface change are often based upon single values of movement, measured over a specified time period or in a ...
V. Ulrich +7 more
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Sensors, 2022 There is a critical need for detection of administrative regions through network map pictures in map censorship tasks, which can be implemented by target detection technology.
Kaixuan Du +6 more
doaj +1 more source
Fine Classification of UAV Urban Nighttime Light Images Based on Object-Oriented Approach
Sensors, 2023 Fine classification of urban nighttime lighting is a key prerequisite step for small-scale nighttime urban research. In order to fill the gap of high-resolution urban nighttime light image classification and recognition research, this paper is based on a
Daoquan Zhang +3 more
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Incremental Road Network Update Method with Trajectory Data and UAV Remote Sensing Imagery
ISPRS International Journal of Geo-Information, 2022 GPS trajectory and remote sensing data are crucial for updating urban road networks because they contain critical spatial and temporal information.
Jianxin Qin +4 more
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Smart Agricultural Technology, 2023 The lower catchment area of a Mak Hiao river system is vulnerable to flash floods and water stress. So it is important to construct irrigation structures in this area to minimize floods during the rainy season and store water for the winter season.
Murali Krishna Gumma +6 more
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Personalized Legibility of an Indoor Environment for People with Motor Disabilities: A New Framework
ISPRS International Journal of Geo-Information, 2020 A mental map refers to the personalized representation of spatial knowledge in the human brain and is based on the perceptions, experiences, and interactions of people with their environment. For people with motor disabilities (PWMD) some perceptions and
Ali Afghantoloee +3 more
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