Results 71 to 80 of about 24,596,936 (301)

D1.1 The SENTINEL baseline

, 2021
Deliverable D1.1 (“The SENTINEL Baseline”) has been produced within Work Package (WP) 1 (“SENTINEL Baseline: Setting the Methodological Scene”) of the SENTINEL project under task T1.1 (“The SENTINEL Requirements Engineering Methodology”). The aim of this
Loucopoulos, Pericles, Kavakli, Evangelia, Skourtis, Yannis   +2 more
core   +1 more source

A Global Methane Observation System to Reduce Uncertainty for Anthropogenic and Natural Sources and Sinks for Detecting and Attributing Climate Feedbacks

Advanced Science, EarlyView.
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais, S. Peng, J. Chang, F. Li, Q. Zhu, K. Yuan, G. Hugelius, H. Li, Y. Cai, F. Chevallier, K. Tibrewal, E. A. Kort, K. Arndt, J. Watts, B. Buma, N. Besic, P. I. Palmer, H. Cadillo‐Quiroz, E. Euskirchen, M. J. Gondwe, A. Hoyt, R. Jackson, S. Malone, D. Monteverde, S. Natali, M. Ramonet, C. Rey‐Sanchez, L. B. Sagang, E. A. G. Schuur, R. Vargas, R. Varner, Z. Zhang, B. Poulter   +32 more
wiley   +1 more source

Crop Water Content of Winter Wheat Revealed with Sentinel-1 and Sentinel-2 Imagery

Sensors, 2019
This study aims to efficiently estimate the crop water content of winter wheat using high spatial and temporal resolution satellite-based imagery. Synthetic-aperture radar (SAR) data collected by the Sentinel-1 satellite and optical imagery from the ...
Dong Han, Shuaibing Liu, Ying Du, Xinrui Xie, Lingling Fan, Lei Lei, Zhenhong Li, Hao Yang, Guijun Yang   +8 more
doaj   +1 more source

Synthetic Data for Sentinel-2 Semantic Segmentation

Remote Sensing
Satellite observations provide critical data for a myriad of applications, but automated information extraction from such vast datasets remains challenging. While artificial intelligence (AI), particularly deep learning methods, offers promising solutions for land cover classification, it often requires massive amounts of accurate, error-free ...
Étienne Clabaut, Samuel Foucher, Yacine Bouroubi, Mickaël Germain   +3 more
openaire   +2 more sources

Sentinel-2 for chl-a monitoring in Belgium

, 2023
Lisa Landuyt presented the use of machine learning methods for the retrieval of Chlorofyl-a concentrations in surface waters (use case 8 in GEO.INFORMED) in ...
Landuyt, Lisa, De Keukelaere, Liesbeth, Reusen, Ils, Knaeps, Els   +3 more
openaire   +1 more source

Identifying a Csmd3+ Microglial Subpopulation that Drives Cold‐to‐Hot Transition and Immune‐Cure in Glioblastoma

Advanced Science, EarlyView.
The study establishes an immune‐cure (ICu) mouse model based on a TMEMed G422TN‐GBM system that faithfully recapitulates human TMEMed GBM. scRNA‐seq analysis reveals a Csmd3+ microglial subset with innate immune memory (IIM) potential that potently suppresses GBM growth, drives a TME cold‐to‐hot transition, and induces 100% ICu in long‐term survival ...
Hai‐Feng Jiang, Pan‐Pan Gao, Yu‐Wen Du, Li‐Qin Wu, En‐Zhi Yin, Qi An, Ze‐Hua Ding, Jin‐Wen Shi, Ya Shu, Ruoqiao Chen, Feng Liu, Mingfeng Li, Xiao Qian Chen   +12 more
wiley   +1 more source

Copernicus Sentinel-2 Calibration and Validation

European Journal of Remote Sensing, 2019
Copernicus, the European Commission’s (EC) Earth Observation Program launched the Sentinel-2A and Sentinel-2B satellites in 2015 and 2017, respectively.
Zoltan Szantoi, Peter Strobl
openaire   +2 more sources

Dual Lineages of Langerhans Cells Cooperate to Restore the Immune Barrier after Skin Injury

Advanced Science, EarlyView.
After skin injury, the epidermal immune barrier is rebuilt by two sources of Langerhans cells. Resident Langerhans cells first move into the wound during re‐epithelialization, guided by CXCR2 signaling. Later, recruited monocytes become long‐lived Langerhans cells.
Axel D. Schmitter‐Sánchez, Nicholas Basista, Sudhanshu Mishra, Hyeri Kim, Audrey Bench, Catherine Matte‐Martone, Min‐Soo Seo, Gun Woo Lee, Sangbum Park   +8 more
wiley   +1 more source

Comparison of multi-source satellite remote sensing observations for monitoring the variations of small lakes: a case study of Dai Lai Lake (Vietnam)

Journal of Water and Climate Change
This study compares the capability of Sentinel-1, Sentinel-2, and PlanetScope (PS) satellites in monitoring the variations of surface water of Dai Lai Lake, located in North Vietnam, for the 2018–2023 period.
Binh Pham-Duc
doaj   +1 more source

High-resolution mapping of forest canopy height using machine learning by coupling ICESat-2 LiDAR with Sentinel-1, Sentinel-2 and Landsat-8 data

International Journal of Applied Earth Observations and Geoinformation, 2020
Forest canopy height is an important indicator of forest carbon storage, productivity, and biodiversity. The present study showed the first attempt to develop a machine-learning workflow to map the spatial pattern of the forest canopy height in a ...
Wang Li, Zheng Niu, Rong Shang, Yuchu Qin, Li Wang, Hanyue Chen   +5 more
doaj   +1 more source