Recent applications of Landsat 8/OLI and Sentinel-2/MSI for land use and land cover map**: A systematic review
Recent applications of Landsat 8 Operational Land Imager (L8/OLI) and Sentinel-2
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
MultiSpectral Instrument (S2/MSI) data for acquiring information about land use and land …
Image processing techniques for analysis of satellite images for historical maps classification—An overview
Historical maps classification has become an important application in today's scenario of
everchanging land boundaries. Historical map changes include the change in boundaries of …
everchanging land boundaries. Historical map changes include the change in boundaries of …
Combining Sentinel-1 and Sentinel-2 Satellite Image Time Series for land cover map** via a multi-source deep learning architecture
The huge amount of data currently produced by modern Earth Observation (EO) missions
has allowed for the design of advanced machine learning techniques able to support …
has allowed for the design of advanced machine learning techniques able to support …
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn
Abstract Nowadays, modern Earth Observation systems continuously generate huge
amounts of data. A notable example is represented by the Sentinel-2 mission, which …
amounts of data. A notable example is represented by the Sentinel-2 mission, which …
Classification map** of salt marsh vegetation by flexible monthly NDVI time-series using Landsat imagery
Salt marshes are deemed as one of the most dynamic and valuable ecosystems on Earth.
Recently, salt marsh deterioration and loss have become widespread because of …
Recently, salt marsh deterioration and loss have become widespread because of …
Multi-type forest change detection using BFAST and monthly landsat time series for monitoring spatiotemporal dynamics of forests in subtropical wetland
Land cover changes, especially excessive economic forest plantations, have significantly
threatened the ecological security of West Dongting Lake wetland in China. This work aimed …
threatened the ecological security of West Dongting Lake wetland in China. This work aimed …
Unsupervised change detection analysis in satellite image time series using deep learning combined with graph-based approaches
Nowadays, huge volume of satellite images, via the different Earth Observation missions,
are constantly acquired and they constitute a valuable source of information for the analysis …
are constantly acquired and they constitute a valuable source of information for the analysis …
Temporal-domain adaptation for satellite image time-series land-cover map** with adversarial learning and spatially aware self-training
Nowadays, satellite image time series (SITS) are commonly employed to derive land-cover
maps (LCM) to support decision makers in a variety of land management applications. In the …
maps (LCM) to support decision makers in a variety of land management applications. In the …
Feature-rich networks: going beyond complex network topologies
The growing availability of multirelational data gives rise to an opportunity for novel
characterization of complex real-world relations, supporting the proliferation of diverse …
characterization of complex real-world relations, supporting the proliferation of diverse …
Assessing the Three-North Shelter Forest Program in China by a novel framework for characterizing vegetation changes
Abstract The Three-North Shelter Forest Program (TNSFP) in China has been intensely
invested for approximately 40 years. However, the efficacy of the TNSFP has been …
invested for approximately 40 years. However, the efficacy of the TNSFP has been …