Results 101 to 110 of about 21,657,058 (394)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Wildfires are considered as one of the most disturbing factors in forest areas and high-density vegetation regions. The mapping of wildfires is particularly important for fire prediction and burned biomass estimation.
Seyd Teymoor Seydi +2 more
doaj +1 more source
SEN2VENµS, a Dataset for the Training of Sentinel-2 Super-Resolution Algorithms
International Conference on Data Technologies and Applications, 2022 Boosted by the progress in deep learning, Single Image Super-Resolution (SISR) has gained a lot of interest in the remote sensing community, who sees it as an opportunity to compensate for satellites’ ever-limited spatial resolution with respect to end ...
J. Michel +3 more
semanticscholar +1 more source
MACHINE LEARNING APPLIED TO SENTINEL-2 AND LANDSAT-8 MULTISPECTRAL AND MEDIUM-RESOLUTION SATELLITE IMAGERY FOR THE DETECTION OF RICE PRODUCTION AREAS IN NGANJUK, EAST JAVA, INDONESIA [PDF]
, 2021 Statistics Indonesia (BPS) has been introducing the use of Area Sampling Frame (ASF) surveys from 2018 to estimate rice production areas, although the process continues to suffer from the high costs of human and other resources.
Devara, Terry, Wijayanto, Arie Wahyu
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
Journal of Water and Health, 2022 This study aimed to develop an empirical model to predict the spatial distribution of Aphanizomenon using the Ridiyagama reservoir in Sri Lanka with a dual-model strategy.
Menik Hitihami M. A. S. V. Gunawardana +5 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Understanding the spatial variability of soil texture classes is essential for agricultural management and environment sustainability. Sentinel-2 data offer valuable vegetation information as proxies for soil properties inference.
Ya’nan Zhou +5 more
semanticscholar +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
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
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
Use of new generation geospatial data and technology for low cost drought monitoring and SDG reporting solution : a thesis presented in partial fulfillment of the requirement for the degree of Master of Science in Computer Science at Massey University, Manawatū, New Zealand [PDF]
, 2018 Food security is dependent on ecosystems including forests, lakes and wetlands, which in turn depend on water availability and quality. The importance of water availability and monitoring drought has been highlighted in the Sustainable Development ...
Dehghan-Shoar, Mohammad Hossain
core