Results 101 to 110 of about 1,271 (194)

RECENT CAL/VAL UPDATES OF THE GCOM-W/AMSR2

, 2015
Presentation given at the 16th GHRSST science meeting (XVI), ESA/ESTEC, The Netherlands, July 20 - 24, 2015.
openaire   +2 more sources

Arctic Thin Ice Detection Using AMSR2 and FY-3C MWRI Radiometer Data

Thin ice with a thickness of less than half a meter produces strong salt and heat fluxes which affect deep water circulation and weather in the polar oceans. The identification of thin ice areas is essential for ship navigation.
Similä, Markku, Marko Mäkynen, Markku Similä, Mäkynen, Marko   +3 more
core   +1 more source

Long-Term Pan-Arctic Evaluation of a Sentinel-1 SAR Sea Ice Extent Product and Insights into Model Integration

Remote Sensing
Reliable sea ice extent (SIE) information is essential for Arctic navigation, climate research, and resource exploration. Synthetic Aperture Radar (SAR), with its all-weather, high-resolution capabilities, is well suited for SIE extraction.
Haotian Yuan, Qing Guo, Yongzheng Ren, Han Fu, Xiao-Ming Li   +4 more
doaj   +1 more source

Interpolation of AMSR2 data for improvement of ice charting

, 2019
Today, ice charts in Greenland waters are produced manually by the Danish Meteorological Institute (DMI) for selected regions depending on season and shipping routes. The project “Automated Downstream Sea Ice Products for Greenland Waters” or shorter “Automated Sea Ice Products” (ASIP) attempts to automate this process by means of fusion of data from ...
Nielsen, Allan Aasbjerg; id_orcid 0000-0002-4837-9449, Malmgren-Hansen, David, Toudal Pedersen, Leif, Saldo, Roberto; id_orcid 0000-0003-4716-438X, Skriver, Henning; id_orcid 0000-0002-7938-7476, Lavelle, John, Buus-Hinkler, Jørgen, Brandt Kreiner, Matilde   +7 more
openaire   +1 more source

Recent Improvements in AMSR2 Sea Surface Temperature Products

, 2019
Presentation given at the 20th GHRSST science meeting (XX), ESA/ESRIN, Frascati, Italy, June 3 - 7, 2019.
openaire   +1 more source

Assessing the Sensitivity of Snow Depth Retrieval Algorithms to Inter-Sensor Brightness Temperature Differences

Remote Sensing
Passive microwave remote sensing provides indispensable observations for constructing long-term snow depth records, which are critical for climatology, hydrology, and operational applications.
Guangjin Liu, Lingmei Jiang, Huizhen Cui, Jinmei Pan, Jianwei Yang, Min Wu   +5 more
doaj   +1 more source

Estimation of Atmospheric Microwave Radiation Parameters Over the Arctic Sea Ice From the AMSR2 Data

International audienceA new approach is developed to estimate atmospheric microwave radiation parameters (atmospheric radiation T-a and its optical thickness tau ) over the Arctic sea ice (SI) at the frequencies of the Advanced Microwave Scanning ...
Zabolotskikh, Elizaveta V., Chapron, Bertrand   +1 more
core   +1 more source

Application of a Machine Learning Algorithm in Generating an Evapotranspiration Data Product From Coupled Thermal Infrared and Microwave Satellite Observations. [PDF]

Front Big Data, 2022
Fang L, Zhan X, Kalluri S, Yu P, Hain C, Anderson M, Laszlo I.   +6 more
europepmc   +1 more source

Surface Properties of Global Land Surface Microwave Emissivity Derived from FY-3D/MWRI Measurements. [PDF]

Sensors (Basel), 2023
Xu R, Pan Z, Han Y, Zheng W, Wu S.
europepmc   +1 more source

AMSR2 Soil moisture downscaling using multisensor products through machine learning approach

, 2015
Soil moisture is important to understand the interaction between the land and the atmosphere, and has an influence on hydrological and agricultural processes such as drought and crop yield.
Jinyoung Rhee, Jungho Im, Sumin Park, Im, Jungho, Rhee, Jinyoung, Seonyoung Park, Park, Sumin, Park, Sunyoung   +7 more
core   +1 more source