Results 31 to 40 of about 6,832 (217)

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

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

The effects of variation in snow properties on passive microwave snow mass estimation [PDF]

open access: yes, 2012
Estimating snow mass at continental scales is difficult, but important for understanding land-atmosphere interactions, biogeochemical cycles and the hydrology of the Northern latitudes.
Davenport, Ian   +2 more
core   +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

Remote sensing of tropical tropopause layer radiation balance using A-train measurements [PDF]

open access: yes, 2008
Determining the level of zero net radiative heating (LZH) is critical to understanding parcel trajectory in the Tropical Tropopause Layer (TTL) and associated stratospheric hydration processes.
Feldman, D. R.   +3 more
core   +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

Effect of Structural Uncertainty in Passive Microwave Soil Moisture Retrieval Algorithm

open access: yesSensors, 2020
Passive microwave sensors use a radiative transfer model (RTM) to retrieve soil moisture (SM) using brightness temperatures (TB) at low microwave frequencies. Vegetation optical depth (VOD) is a key input to the RTM. Retrieval algorithms can analytically
Lanka Karthikeyan   +3 more
doaj   +1 more source

Influence of irrigation on land hydrological processes over California [PDF]

open access: yes, 2014
In this study, a regional climate model (RCM) is employed to investigate the effect of irrigation on hydrology over California through implementing a “realistic irrigation” scheme.
AghaKouchak, A, Li, J, Sorooshian, S
core   +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

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