Results 21 to 30 of about 817 (178)

Multiyear variability of ice concentration in the White Sea according to satellite data

open access: yesЛëд и снег, 2023
The objectives of this study were to analyze satellite data on the ice conditions in the White Sea available for the period 1979-2021 so that to identify statistically significant trends in closeness of ice during that period, and to establish spatial ...
V. N. Baklagin
doaj   +1 more source

Optimal Estimation of Sea Surface Temperature from AMSR-E [PDF]

open access: yesRemote Sensing, 2018
The Optimal Estimation (OE) technique is developed within the European Space Agency Climate Change Initiative (ESA-CCI) to retrieve subskin Sea Surface Temperature (SST) from AQUA’s Advanced Microwave Scanning Radiometer—Earth Observing System (AMSR-E).
Pia Nielsen-Englyst   +6 more
openaire   +2 more sources

Determining the AMSR-E SST Footprint from Co-Located MODIS SSTs

open access: yesRemote Sensing, 2019
This study was undertaken to derive and analyze the advanced microwave scanning radiometer-Earth observing satellite (EOS) (AMSR-E) sea surface temperature (SST) footprint associated with the remote sensing systems (RSS) level-2 (L2) product.
Brahim Boussidi   +3 more
doaj   +1 more source

Assessment of the NASA AMSR-E SWE Product

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2010
Since the launch of the Scanning Multichannel Microwave Radiometer (SMMR) in 1978, several studies have demonstrated the capability of spaceborne passive microwave sensors for mapping global snow water equivalent (SWE). Currently, SWE values are estimated operationally from microwave brightness temperatures measured by the Advanced Microwave Scanning ...
Marco Tedesco, Parag S. Narvekar
openaire   +1 more source

Developing an improved soil moisture dataset by blending passive and active microwave satellite-based retrievals [PDF]

open access: yesHydrology and Earth System Sciences, 2011
Combining information derived from satellite-based passive and active microwave sensors has the potential to offer improved estimates of surface soil moisture at global scale.
Y. Y. Liu   +7 more
doaj   +1 more source

Long Term Global Surface Soil Moisture Fields Using an SMOS-Trained Neural Network Applied to AMSR-E Data

open access: yesRemote Sensing, 2016
A method to retrieve soil moisture (SM) from Advanced Scanning Microwave Radiometer—Earth Observing System Sensor (AMSR-E) observations using Soil Moisture and Ocean Salinity (SMOS) Level 3 SM as a reference is discussed.
Nemesio J. Rodríguez-Fernández   +9 more
doaj   +1 more source

Adapting an Existing Empirical Algorithm for Microwave Land Surface Temperature Retrieval in China for AMSR2 Data

open access: yesRemote Sensing, 2023
To extend the time span of the microwave (MW) land surface temperature (LST) dataset in China, this study proposed an optimized empirical algorithm for Advanced Microwave Scanning Radiometer 2 (AMSR2) LST retrieval based on the algorithm for its ...
Quan Zhang   +3 more
doaj   +1 more source

Development of Continuous AMSR-E/2 Soil Moisture Time Series by Hybrid Deep Learning Model (ConvLSTM2D and Conv2D) and Transfer Learning for Reanalyses

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Surface soil moisture (SSM) is a crucial climate variable of the Earth system that regulates water and energy exchanges between the land and atmosphere, directly influencing hydrological, biogeochemical, and energy cycles. However, satellite-derived SSM,
Visakh Sivaprasad   +4 more
doaj   +1 more source

Influence of cracking clays on satellite estimated and model simulated soil moisture [PDF]

open access: yesHydrology and Earth System Sciences, 2010
Vertisols are clay soils that are common in the monsoonal and dry warm regions of the world. One of the characteristics of these soil types is to form deep cracks during periods of extended dry, resulting in significant variation of the soil and ...
Y. Y. Liu   +5 more
doaj   +1 more source

An Analysis of Arctic Sea Ice Leads Retrieved from AMSR-E/AMSR2

open access: yesRemote Sensing, 2022
In this study, we retrieve an Arctic sea ice lead fraction from AMSR2 passive microwave data in winter from 2012 to 2020 based on an algorithm developed for AMSR-E data. The derived AMSR2 sea ice lead fraction is validated against MODIS images.
Ming Li   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy