OpenStreetMap: Challenges and opportunities in machine learning and remote sensing
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 …
as an alternative to authoritative sources. Given that it is edited mainly by volunteers with …
Satellite remote sensing to monitor species diversity: Potential and pitfalls
Assessing the level of diversity in plant communities from field‐based data is difficult for a
number of practical reasons:(1) establishing the number of sampling units to be investigated …
number of practical reasons:(1) establishing the number of sampling units to be investigated …
Key issues in rigorous accuracy assessment of land cover products
SV Stehman, GM Foody - Remote Sensing of Environment, 2019 - Elsevier
Accuracy assessment and land cover mapping have been inexorably linked throughout the
first 50 years of publication of Remote Sensing of Environment. The earliest developers of …
first 50 years of publication of Remote Sensing of Environment. The earliest developers of …
Crowdsourcing, citizen science or volunteered geographic information? The current state of crowdsourced geographic information
Citizens are increasingly becoming an important source of geographic information,
sometimes entering domains that had until recently been the exclusive realm of authoritative …
sometimes entering domains that had until recently been the exclusive realm of authoritative …
Will remote sensing shape the next generation of species distribution models?
Two prominent limitations of species distribution models (SDM s) are spatial biases in
existing occurrence data and a lack of spatially explicit predictor variables to fully capture …
existing occurrence data and a lack of spatially explicit predictor variables to fully capture …
Volunteered geographic information research in the first decade: a narrative review of selected journal articles in GIScience
More than 10 years have passed since the coining of the term volunteered geographic
information (VGI) in 2007. This article presents the results of a review of the literature …
information (VGI) in 2007. This article presents the results of a review of the literature …
Urban building energy and microclimate modeling–From 3D city generation to dynamic simulations
Dynamic urban simulations often face three main challenges: 3D digital city generations,
building archetype creations, and inclusions of urban microclimate impacts due to limited …
building archetype creations, and inclusions of urban microclimate impacts due to limited …
Detecting animals in African Savanna with UAVs and the crowds
Unmanned aerial vehicles (UAVs) offer new opportunities for wildlife monitoring, with
several advantages over traditional field-based methods. They have readily been used to …
several advantages over traditional field-based methods. They have readily been used to …
Annual large-scale urban land mapping based on Landsat time series in Google Earth Engine and OpenStreetMap data: A case study in the middle Yangtze River …
Long time series (eg 30 years) urban land observations from remote sensing images are
important for urban growth modeling as well as for the goal of sustainable urban …
important for urban growth modeling as well as for the goal of sustainable urban …
Crowdsourced geospatial data quality: Challenges and future directions
A decade ago, Volunteered Geographical Information (VGI) was identified as a new source
of information that would blur the traditional boundary between producers and the …
of information that would blur the traditional boundary between producers and the …