Results 91 to 100 of about 716,204 (172)

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

The association between COVID‐19 vaccines and bullous pemphigoid risk: A UK population‐based study

Journal of the European Academy of Dermatology and Venereology, Volume 40, Issue 11, Page e935-e938, November 2026.
Mikolaj Swiderski, Yana Vinogradova, Matthew J. Ridd, Zenas Z. N. Yiu, Antonia Lloyd‐Lavery, Vibhore Prasad, Bruno Gran, Sonia Gran   +7 more
wiley   +1 more source

Satellite-based detection of agricultural flash droughts and associated vegetation responses in southeastern South America

Environmental Research: Climate
This study evaluates the suitability of the European Space Agency Climate Change Initiative Combined Root-Zone Soil Moisture product (ESA CCI COM RZSM) for detecting agricultural flash droughts (AFDs) across southeastern South America (SESA) and assesses
Lumila Masaro, Miguel A Lovino, M Josefina Pierrestegui, Gabriela V Müller, Wouter Dorigo   +4 more
doaj   +1 more source

Identifying the Spatial Heterogeneity and Driving Factors of Satellite-Based and Hydrologically Modeled Profile Soil Moisture

Remote Sensing
Profile soil moisture (PSM), the soil water content in the whole soil layer, directly controls the major processes related to biological interaction, vegetation growth, and runoff generation.
Han Yang, Xiaoqi Zhang, Zhe Yuan, Bin Xu, Junjun Huo   +4 more
doaj   +1 more source

A 21-year dataset (2000-2020) of gap-free global daily surface soil moisture at 1-km grid resolution. [PDF]

Sci Data, 2023
Zheng C, Jia L, Zhao T.
europepmc   +1 more source

Downscaling of soil moisture in the Wujiang River Basin based on integrated decision tree-based machine learning

European Journal of Remote Sensing
Soil moisture (SM) is a crucial variable for agriculture, drought monitoring and hydrological modelling. While microwave remote sensing provides large-scale SM data, its coarse spatial resolution limits fine-scale applications.
Pengfei Qu, Yongyi Yuan, Hanyu Lu
doaj   +1 more source

Performance of ESA-CCI-SM Satellite product for estimating soil water deficit: a case study in NE Portugal

The Mediterranean climate is characterised by hot and dry summers and water deficit in soils. Monitoring soil water deficit is of crucial importance in Mediterranean cropland, allowing a more cost-effective soil and water management. Satellite-borne data sources provide high temporal resolution information but usually lack the spatial resolution to ...
Figueiredo, Tomás d'Aquino, Royer, Ana Caroline, Hernandez Hernandez, Zulimar   +2 more
openaire   +1 more source

Assessing the combination of passive and active microwave satellite observations (1.4 to 36 GHz) to estimate above ground biomass (AGB) globally

Science of Remote Sensing
A Neural Network inversion method has been developed to estimate Above Ground Biomass (AGB) on a global scale using multiple microwave satellite observations from both passive and active instruments.
Catherine Prigent, Carlos Jimenez, Maurizio Santoro, Oliver Cartus, Samuel Favrichon   +4 more
doaj   +1 more source

Spatial Downscaling of Gridded Soil Moisture Products Using Optical and Thermal Satellite Data: Effect of Using Different Vegetation Indices

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Satellite remote sensing offers global-scale soil moisture (SM) estimation to assess water and energy cycles. However, the coarse resolution of SM products from microwave remote sensing is unsuitable for fine-scale analysis.
Tomas Halldorsson Alexander, Haijun Luan, Hongxiao Jin, Zheng Duan   +3 more
doaj   +1 more source

Evaluating soil moisture retrieval in Arctic and sub-Arctic environments using passive microwave satellite data

International Journal of Digital Earth
Soil Moisture (SM) is a key parameter in northern Arctic and sub-Arctic (A-SA) environments that are highly vulnerable to climate change. We evaluated six SM satellite passive microwave datasets using thirteen ground-based SM stations across Northwestern
Juliette Ortet, Arnaud Mialon, Yann Kerr, Alain Royer, Aaron Berg, Julia Boike, Elyn Humphreys, François Gibon, Philippe Richaume, Simone Bircher-Adrot, Azza Gorrab, Alexandre Roy   +11 more
doaj   +1 more source