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Displaying 1826 - 1830 of 2258People and Post-Mining Environments: PPGIS Mapping of Landscape Values, Knowledge Needs, and Future Perspectives in Northern Finland
Mining can have a notable environmental and social footprint both during the production phase and after the mine closure. We examined local stakeholders’ viewpoints on two post-mining areas in northern Finland, Hannukainen and Rautuvaara, using a public participation geographic information system (PPGIS) approach. Spatially explicit data on local residents’ and visitors’ values, knowledge needs, and future perspectives on mining landscapes were collected with an online map-based survey tool (Harava). The results show that post-mining sites were generally considered unpleasant places.
The River as an Economic Asset: Settlement and Society in the Xeros Valley in Cyprus
Settled and Sacred Landscapes of Cyprus (SeSaLaC) is a systematic archaeological survey project of the University of Cyprus in the Xeros River valley in the Larnaka district in Cyprus. This article aims to present a first synthesis of the diachronic settlement pattern in the region. After a short introduction on the area and the SeSaLaC project, we attempt to identify and interpret settlement evolution and landscape changes in the region, from early prehistory to Late Antiquity.
The Effect of the Gully Land Consolidation Project on Soil Erosion and Crop Production on a Typical Watershed in the Loess Plateau
The Gully Land Consolidation Project (GLCP) was launched to create more arable land by excavating soil from the slopes on both sides of gullies, combined with simultaneous comprehensive gully prevention and control measures. The purpose of the GLCP is to increase crop production and reduce soil erosion to achieve ecological and agricultural sustainability.
Crowdsourced Street-Level Imagery as a Potential Source of In-Situ Data for Crop Monitoring
New approaches to collect in-situ data are needed to complement the high spatial (10 m) and temporal (5 d) resolution of Copernicus Sentinel satellite observations. Making sense of Sentinel observations requires high quality and timely in-situ data for training and validation. Classical ground truth collection is expensive, lacks scale, fails to exploit opportunities for automation, and is prone to sampling error.
Characterizing the Spatial and Temporal Availability of Very High Resolution Satellite Imagery in Google Earth and Microsoft Bing Maps as a Source of Reference Data
Very high resolution (VHR) satellite imagery from Google Earth and Microsoft Bing Maps is increasingly being used in a variety of applications from computer sciences to arts and humanities. In the field of remote sensing, one use of this imagery is to create reference data sets through visual interpretation, e.g., to complement existing training data or to aid in the validation of land-cover products. Through new applications such as Collect Earth, this imagery is also being used for monitoring purposes in the form of statistical surveys obtained through visual interpretation.