Open geospatial software and data: A review of the current state and a perspective into the future

S Coetzee, I Ivánová, H Mitasova… - … International Journal of …, 2020 - mdpi.com
All over the world, organizations are increasingly considering the adoption of open source
software and open data. In the geospatial domain, this is no different, and the last few …

OpenStreetMap: Challenges and opportunities in machine learning and remote sensing

JE Vargas-Munoz, S Srivastava, D Tuia… - IEEE Geoscience and …, 2020 - ieeexplore.ieee.org
OpenStreetMap (OSM) is a community-based, freely available, editable map service created
as an alternative to authoritative sources. Given that it is edited mainly by volunteers with …

A global map of roadless areas and their conservation status

PL Ibisch, MT Hoffmann, S Kreft, G Pe'er, V Kati… - Science, 2016 - science.org
Roads fragment landscapes and trigger human colonization and degradation of
ecosystems, to the detriment of biodiversity and ecosystem functions. The planet's remaining …

Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information

L See, P Mooney, G Foody, L Bastin, A Comber… - … International Journal of …, 2016 - mdpi.com
Citizens are increasingly becoming an important source of geographic information,
sometimes entering domains that had until recently been the exclusive realm of authoritative …

Improved population mapping for China using remotely sensed and points-of-interest data within a random forests model

T Ye, N Zhao, X Yang, Z Ouyang, X Liu, Q Chen… - Science of the total …, 2019 - Elsevier
Remote sensing image products (eg brightness of nighttime lights and land cover/land use
types) have been widely used to disaggregate census data to produce gridded population …

A global analysis of factors controlling VIIRS nighttime light levels from densely populated areas

N Levin, Q Zhang - Remote sensing of environment, 2017 - Elsevier
Remote sensing of nighttime lights has been shown as a good surrogate for estimating
population and economic activity at national and sub-national scales, using DMSP satellites …

Urban building energy and microclimate modeling–From 3D city generation to dynamic simulations

A Katal, M Mortezazadeh, LL Wang, H Yu - Energy, 2022 - Elsevier
Dynamic urban simulations often face three main challenges: 3D digital city generations,
building archetype creations, and inclusions of urban microclimate impacts due to limited …

Risk of isolation increases the expected burden from sea-level rise

TM Logan, MJ Anderson, AC Reilly - Nature Climate Change, 2023 - nature.com
The typical displacement metric for sea-level rise adaptation planning is property inundation.
However, this metric may underestimate risk as it does not fully capture the wider cascading …

Integrating OpenStreetMap crowdsourced data and Landsat time-series imagery for rapid land use/land cover (LULC) mapping: Case study of the Laguna de Bay …

BA Johnson, K Iizuka - Applied Geography, 2016 - Elsevier
We explored the potential for rapid land use/land cover (LULC) mapping using time-series
Landsat satellite imagery and training data (for supervised classification) automatically …

Crowdsourcing methods for data collection in geophysics: State of the art, issues, and future directions

F Zheng, R Tao, HR Maier, L See, D Savic… - Reviews of …, 2018 - Wiley Online Library
Data are essential in all areas of geophysics. They are used to better understand and
manage systems, either directly or via models. Given the complexity and spatiotemporal …