Integrating Remote Sensing and Geospatial Big Data for Land Use Mapping and Monitoring
A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Innovations – Data and Machine Learning".
Deadline for manuscript submissions: closed (17 November 2023) | Viewed by 21110
Special Issue Editors
Interests: validation of land cover and lands use products, including change; collection and quality assessment of reference data on land cover/land use; crowdsourcing; land use/land cover mapping; spatial data integration; remote sensing
Special Issues, Collections and Topics in MDPI journals
Interests: citizen science, crowdsourcing and volunteered geographic information (data collection, quality assessment, creating added value products with VGI, motivation and engagement, etc.); land cover/land use validation; creation of hybrid land cover products; serious gaming; sustainable development goals (SDGs)
Special Issues, Collections and Topics in MDPI journals
Interests: boreal forests; soil carbon; biomass; land use land cover mapping; biomass remote sensing; forest growth
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
During the last decade, there has been an explosion of data, both from remote sensing and other sources of geospatial data (e.g., citizen science, low-cost sensors, mobile phones), which can benefit the mapping and monitoring of land cover and land use. The opening up of the Landsat archive, the spatial and temporal richness of data now available from Sentinel satellites, and the proliferation of small satellites photographing the Earth provide new opportunities for characterizing the land surface, particularly in relation to land use. By integrating remote sensing with other sources of big geospatial data and machine learning/data fusion, we can create new data sets on land use, e.g., land use management intensity (Dou et al., 2021), forest management (Lesiv et al., in review), and drivers of tropical deforestation (Laso Bayas et al., in review), all of which fill significant gaps in land use information.
This Special Issue aims to bring together state-of-the-art research in this field. We invite papers on methods and applications that integrate remote sensing with geospatial big data in mapping and monitoring land use, including change detection.
Dr. Myroslava Lesiv
Dr. Linda See
Dr. Dmitry Schepaschenko
Guest Editors
Manuscript Submission Information
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