Listar por tema "Sentinel-2"
Mostrando ítems 1-7 de 7
-
Attentional Dense Convolutional Neural Network for Water Body Extraction From Sentinel-2 Images
IEEE (2022-08-15)Monitoring water bodies from remote sensing data is certainly an essential task to supervise the actual conditions of the available water resources for environment conservation, sustainable development, and many other ... -
Enhancing temporal series of Sentinel-2 and Sentinel-3 data products: from classical regression to deep learning approach
Universitat Jaume I (2021-03-05)The free and open availability of satellite images covering global extent in recent days provides many novel opportunities for global monitoring of the earth’s surface. Sentinel-2 (S2) and Sentinel-3 (S3) satellite missions ... -
Intersensor Remote Sensing Image Registration Using Multispectral Semantic Embeddings
IEEE (2019-04)This letter presents a novel intersensor registration framework specially designed to register Sentinel-3 (S3) operational data using the Sentinel-2 (S2) instrument as a reference. The substantially higher resolution of ... -
Multimodal Probabilistic Latent Semantic Analysis for Sentinel-1 and Sentinel-2 Image Fusion
IEEE (2018-09)Probabilistic topic models have recently shown a great potential in the remote sensing image fusion field, which is particularly helpful in land-cover categorization tasks. This letter first studies the application of ... -
Rice-yield prediction with multi-temporal sentinel-2 data and 3D CNN: A case study in Nepal
Multidisciplinary Digital Publishing Institute (2021-04-04)Crop yield estimation is a major issue of crop monitoring which remains particularly challenging in developing countries due to the problem of timely and adequate data availability. Whereas traditional agricultural systems ... -
Sentinel-2 and Sentinel-3 Intersensor Vegetation Estimation via Constrained Topic Modeling
IEEE (2019-03)This letter presents a novel intersensor vegetation estimation framework, which aims at combining Sentinel-2 (S2) spatial resolution with Sentinel-3 (S3) spectral characteristics in order to generate fused vegetation maps. ... -
Using Sentinel-2-Based Metrics to Characterize the Spatial Heterogeneity of FLEX Sun-Induced Chlorophyll Fluorescence on Sub-Pixel Scale
MDPI (2023)Current and upcoming Sun-Induced chlorophyll Fluorescence (SIF) satellite products (e.g., GOME, TROPOMI, OCO, FLEX) have medium-to-coarse spatial resolutions (i.e., 0.3–80 km) and integrate radiances from different sources ...