Results 61 to 70 of about 522 (131)

Diverging Food Web Functioning Around Southampton Island, Nunavut: The Influence of Primary Production Supply and Bathymetry

Ecology and Evolution, Volume 16, Issue 4, April 2026.
Southampton Island hosts two distinct benthic sub‐webs, north and south. North is deeper, phytoplankton‐driven; South is shallower, more ice‐algae driven. North benthos: bottom‐up control, four trophic levels including apex predators. South benthos: walrus top‐down control, trophic truncation to three levels.
Rémi Amiraux, C. J. Mundy, Marie Pierrejean, Philippe Massicotte, Steven H. Ferguson, Aaron T. Fisk, Les N. Harris, Kevin J. Hedges, Kelsey F. Johnson, Andrea Niemi, Bruno Rosenberg, Wesley R. Ogloff, Cortney A. Watt, David J. Yurkowski   +13 more
wiley   +1 more source

Understanding discrepancies in soil moisture from SMAP and AMSR2: insights into performance and dry-down behavior

GIScience & Remote Sensing
Understanding the dynamic changes in soil moisture (SM) is crucial for studying land–atmosphere interactions in hydrometeorology. While numerous SM datasets have been developed for passive microwave remote sensing systems operating at various frequencies,
Zhiqing Peng, Tianjie Zhao, Jiancheng Shi, Lu Hu, Thomas J. Jackson, Michael H. Cosh, Hui Lu, Xiaodong Gao, Jingyao Zheng, Panpan Yao, Qian Cui, Peng Guo, Peilin Song, Zushuai Wei, Mengjia Wang, Anmin Fu   +15 more
doaj   +1 more source

Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Reliable estimation and initialization of Arctic sea-ice thickness (SIT) through data assimilation (DA) during the summer melt season were previously hampered by the lack of available observations owing to limitations in satellite retrieval algorithms ...
Jeong-Gil Lee, Daehyun Kang, Joo-Hong Kim, Jong-Min Kim, Sang-Moo Lee, Yoo-Geun Ham   +5 more
doaj   +1 more source

Development and Assessment of the Sand Dust Prediction Model by Utilizing Microwave-Based Satellite Soil Moisture and Reanalysis Datasets in East Asian Desert Areas

Advances in Meteorology, 2017
For several decades, satellite-based microwave sensors have provided valuable soil moisture monitoring in various surface conditions. We have first developed a modeled aerosol optical depth (AOD) dataset by utilizing Soil Moisture and Ocean Salinity ...
Hyunglok Kim, Muhammad Zohaib, Eunsang Cho, Yann H. Kerr, Minha Choi   +4 more
doaj   +1 more source

Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations. [PDF]

Front Big Data, 2023
Donahue K, Kimball JS, Du J, Bunt F, Colliander A, Moghaddam M, Johnson J, Kim Y, Rawlins MA.   +8 more
europepmc   +1 more source

Inter-Comparison of SST Products from iQuam, AMSR2/GCOM-W1, and MWRI/FY-3D

Remote Sensing
Evaluating sea surface temperature (SST) products is essential before their application in marine environmental monitoring and related studies. SSTs from the in situ SST Quality Monitor (iQuam) system, Advanced Microwave Scanning Radiometer 2 (AMSR2 ...
Yili Zhao, Ping Liu, Wu Zhou
doaj   +1 more source

Evaluation of Several Satellite-Based Soil Moisture Products in the Continental US. [PDF]

Sensors (Basel), 2022
Feng S, Huang X, Zhao S, Qin Z, Fan J, Zhao S.   +5 more
europepmc   +1 more source

A reduced latency regional gap-filling method for SMAP using random forest regression. [PDF]

iScience, 2023
Wang X, Lü H, Crow WT, Corzo G, Zhu Y, Su J, Zheng J, Gou Q.   +7 more
europepmc   +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

Multi-Source Soil Moisture Data Fusion Based on Spherical Cap Harmonic Analysis and Helmert Variance Component Estimation in the Western U.S. [PDF]

Sensors (Basel), 2023
Chen H, Chen P, Wang R, Qiu L, Tang F, Xiong M.   +5 more
europepmc   +1 more source