Sentinel-2 for Mapping Iron Absorption Feature Parameters [PDF]
Remote Sensing, 2015 Iron is an indicator for soil fertility and the usability of an area for cultivating crops. Remote sensing is the only suitable tool for surveying large areas at a high temporal and spatial interval, yet a relative high spectral resolution is needed for mapping iron contents with reflectance data. Sentinel-2 has several bands that cover the 0.9 μm iron
Harald Van der Werff, Freek Van der Meer
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Water bodies' mapping from Sentinel-2 imagery with Modified Normalized Difference Water Index at 10-m spatial resolution produced by sharpening the swir band [PDF]
, 2016 Monitoring open water bodies accurately is an important and basic application in remote sensing. Various water body mapping approaches have been developed to extract water bodies from multispectral images.
Du, Yun +5 more
core +2 more sources
On the use of satellite Sentinel 2 data for automatic mapping of burnt areas and burn severity [PDF]
, 2018 In this paper, we present and discuss the preliminary tools we devised for the automatic recognition of burnt areas and burn severity developed in the framework of the EU-funded SERV_FORFIRE project.
Ghermandi, Luciana +2 more
core +1 more source
High-Resolution Building and Road Detection from Sentinel-2 [PDF]
arXiv, 2023 Mapping buildings and roads automatically with remote sensing typically requires high-resolution imagery, which is expensive to obtain and often sparsely available. In this work we demonstrate how multiple 10 m resolution Sentinel-2 images can be used to generate 50 cm resolution building and road segmentation masks. This is done by training a `student'
arxiv
Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones [PDF]
, 2019 This paper proposes a novel framework for fusing multi-temporal, multispectral satellite images and OpenStreetMap (OSM) data for the classification of local climate zones (LCZs).
Ghamisi, Pedram +2 more
core +2 more sources
Super-resolution of Sentinel-2 images: Learning a globally applicable deep neural network [PDF]
ISPRS Journal of Photogrammetry and Remote Sensing, 146 (2018),
pp. 305-319, 2018 The Sentinel-2 satellite mission delivers multi-spectral imagery with 13 spectral bands, acquired at three different spatial resolutions. The aim of this research is to super-resolve the lower-resolution (20 m and 60 m Ground Sampling Distance - GSD) bands to 10 m GSD, so as to obtain a complete data cube at the maximal sensor resolution.
arxiv +1 more source
FEBS Letters, EarlyView.In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali +3 more
wiley +1 more source
The agricultural impact of the 2015–2016 floods in Ireland as mapped through Sentinel 1 satellite imagery [PDF]
, 2019 peer-reviewedIrish Journal of Agricultural and Food Research | Volume 58: Issue 1 The agricultural impact of the 2015–2016 floods in Ireland as mapped through Sentinel 1 satellite imagery R. O’Haraemail
O'Hara, Rob
core +1 more source
On The Role of Alias and Band-Shift for Sentinel-2 Super-Resolution [PDF]
arXiv, 2023 In this work, we study the problem of single-image super-resolution (SISR) of Sentinel-2 imagery. We show that thanks to its unique sensor specification, namely the inter-band shift and alias, that deep-learning methods are able to recover fine details. By training a model using a simple $L_1$ loss, results are free of hallucinated details.
arxiv
Sentinel 2 Analysis of Turbidity Patterns in a Coastal Lagoon [PDF]
Remote Sensing, 2019 Coastal lagoons are transitional ecosystems with complex spatial and temporal variability. Remote sensing tools are essential for monitoring and unveiling their variability. Turbidity is a water quality parameter used for studying eutrophication and sediment transport.
María-Teresa Sebastiá-Frasquet +3 more
openaire +1 more source