Results 31 to 40 of about 149,547 (281)

Remote Sensing of Grasslands: Performance Comparison of Radar and Optical Data in Machine Learning Classification [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Classification of grasslands has an important role in environmental monitoring, and management. This study compares and evaluates the performance of various machine learning and deep learning algorithms in grassland classification using remote sensing ...
K. Christofi, C. Chrysostomou, I. Tsardanidis, M. Mavrovouniotis, G. Guerrisi, C. Kontoes, D. G. Hadjimitsis, D. G. Hadjimitsis   +7 more
doaj   +1 more source

Evaluation of Global Decametric-Resolution LAI, FAPAR and FVC Estimates Derived from Sentinel-2 Imagery

Remote Sensing, 2020
Global biophysical products at decametric resolution derived from Sentinel-2 imagery have emerged as a promising dataset for fine-scale ecosystem modeling and agricultural monitoring.
Qiong Hu, Jingya Yang, Baodong Xu, Jianxi Huang, Muhammad Sohail Memon, Gaofei Yin, Yelu Zeng, Jing Zhao, Ke Liu   +8 more
doaj   +1 more source

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, Lasaponara, Rosa, Tucci, Biagio   +2 more
core   +1 more source

Landsat-8 vs. Sentinel-2: examining the added value of sentinel-2’s red-edge bands to land-use and land-cover mapping in Burkina Faso

GIScience & Remote Sensing, 2018
The availability of freely available moderate-to-high spatial resolution (10–30 m) satellite imagery received a major boost with the recent launch of the Sentinel-2 sensor by the European Space Agency.
Gerald Forkuor, Kangbeni Dimobe, Idriss Serme, Jerome Ebagnerin Tondoh   +3 more
doaj   +1 more source

Comparison of Landsat-8 and Sentinel-2 Data for Estimation of Leaf Area Index in Temperate Forests

Remote Sensing, 2019
With the launch of the Sentinel-2 satellites, a European capacity has been created to ensure continuity of Landsat and SPOT observations. In contrast to previous sensors, Sentinel-2′s multispectral imager (MSI) incorporates three additional ...
Lorenz Hans Meyer, Marco Heurich, Burkhard Beudert, Joseph Premier, Dirk Pflugmacher   +4 more
doaj   +1 more source

Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset [PDF]

, 2020
As a unique classification scheme for urban forms and functions, the local climate zone (LCZ) system provides essential general information for any studies related to urban environments, especially on a large scale.
Bechtel, Benjamin, Qiu, Chunping, Schmitt, Michael, Tong, Xiaochong, Zhu, Xiao Xiang   +4 more
core   +2 more sources

Assessment of the Usefulness of Spectral Bands for the Next Generation of Sentinel-2 Satellites by Reconstruction of Missing Bands

Remote Sensing, 2022
The Sentinel-2 constellation has been providing high spatial, spectral and temporal resolution optical imagery of the continental surfaces since 2015.
Jordi Inglada, Julien Michel, Olivier Hagolle   +2 more
doaj   +1 more source

Modelling Daily Gross Primary Productivity with Sentinel-2 Data in the Nordic Region–Comparison with Data from MODIS

Remote Sensing, 2021
The high-resolution Sentinel-2 data potentially enable the estimation of gross primary productivity (GPP) at finer spatial resolution by better capturing the spatial variation in a heterogeneous landscapes.
Zhanzhang Cai, Sofia Junttila, Jutta Holst, Hongxiao Jin, Jonas Ardö, Andreas Ibrom, Matthias Peichl, Meelis Mölder, Per Jönsson, Janne Rinne, Maria Karamihalaki, Lars Eklundh   +11 more
doaj   +1 more source

Urban energy exchanges monitoring from space [PDF]

, 2018
One important challenge facing the urbanization and global environmental change community is to understand the relation between urban form, energy use and carbon emissions.
AJ Arnfield, B Crawford, B Offerle, CSB Grimmond, CSB Grimmond, CW Kent, D Founda, F Creutzig, F Lindberg, F Lindberg, F Lindberg, G Pigeon, HC Ward, J-P Gastellu-Etchegorry, JA Voogt, JA Voogt, JP Gastellu-Etchegorry, K Nishida, KC Seto, M Kanda, M Kanda, N Chrysoulakis, Q Wang, Q Weng, Q Weng, R Kormann, S Chen, S Kato, S Kato, S Kato, S Kotthaus, S Russo, SK Meyn, T Ando, T Sun, W Xu, Z Mitraka, Z Mitraka, Z Mitraka   +38 more
core   +4 more sources

Characterizing the salivary RNA landscape to identify potential diagnostic, prognostic, and follow‐up biomarkers for breast cancer

Molecular Oncology, EarlyView.
This study explores salivary RNA for breast cancer (BC) diagnosis, prognosis, and follow‐up. High‐throughput RNA sequencing identified distinct salivary RNA signatures, including novel transcripts, that differentiate BC from healthy controls, characterize histological and molecular subtypes, and indicate lymph node involvement.
Nicholas Rajan, Irina Primac, Emre Etlioglu, Laurens Debruyne, Ann Janssen, Magy Sallam, Kevin Tabury, Roel Quintens, Wiebren Tjalma, Mohammed Abderrafi Benotmane   +9 more
wiley   +1 more source