Results 51 to 60 of about 4,460 (223)

Influx of Bay of Bengal Waters and Stirring Trends in the Arabian Sea Based on Satellite Altimetry

Geophysical Research Letters, Volume 53, Issue 8, 28 April 2026.
Abstract Freshwater transport and stirring affect air–sea interactions in the Arabian Sea (AS). Using three decades of satellite‐based surface currents, this study examines (a) the volume influx of water masses into southeastern AS from the Bay of Bengal (BoB), and (b) horizontal stirring over seasonal to interannual timescales in the AS.
Nihar Paul, Manikandan Mathur, Jai Sukhatme, J. Thomas Farrar, Debasis Sengupta   +4 more
wiley   +1 more source

Reconstruction of a Global 9 km, 8-Day SMAP Surface Soil Moisture Dataset during 2015–2020 by Spatiotemporal Fusion

Journal of Remote Sensing, 2022
Soil moisture, a crucial property for Earth surface research, has been focused widely in various studies. The Soil Moisture Active Passive (SMAP) global products at 36 km and 9 km (called P36 and AP9 in this research) have been published from April 2015.
Haoxuan Yang, Qunming Wang, Wei Zhao, Xiaohua Tong, Peter M. Atkinson   +4 more
doaj   +1 more source

Development of SMAP Mission Cal/Val Activities [PDF]

, 2010
The Soil Moisture Active Passive (SMAP) mission is a NASA directed mission to map global land surface soil moisture and freeze-thaw state. Instrument and mission details are shown.
Colliander, A., Cosh, M., Entekhabi, D., Jackson, T., Kimball, J., Njoku, E., ONeill, P., Spencer, M.   +7 more
core   +1 more source

Impact of day/night time land surface temperature in soil moisture disaggregation algorithms [PDF]

, 2016
Since its launch in 2009, the ESA’s SMOS mission is providing global soil moisture (SM) maps at ~40 km, using the first L-band microwave radiometer on space.
Camps Carmona, Adriano José, Martinez Fernandez, Jose, Pablos Hernánez, Miriam, Piles Guillem, Maria, Sánchez, Nilda, Vall-Llossera Ferran, Mercedes Magdalena   +5 more
core   +2 more sources

Improving Air Quality Simulations in California's San Joaquin Valley Using Land Surface Remote Sensing

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 7, 16 April 2026.
Abstract Accurate regional air quality modeling is crucial for the development of effective air pollution mitigation plans. Precisely simulating meteorological conditions, especially planetary boundary layer (PBL) properties, is challenging due to complex land surface conditions.
Yueqi Jiang, Li Zhang, Fan Wu, Sarika Kulkarni, Yu Yan Cui, Chenxia Cai, Wei Peng, Kenneth J. Davis   +7 more
wiley   +1 more source

INVESTIGATING THE POSSIBILITY OF PREPARING SMALL SCALE SOIL MOISTURE MAP FROM COUPLED SENTINEL-1 AND SENTINEL-2 DATA [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
With the failure of the radar instrument on NASA's Soil Moisture Active Passive (SMAP) satellite, the Sentinel-1 sensor has been considered as an alternative for replacing the SMAP radar data and restoring the combined radar and radiometer SMC product. A
R. Attarzadeh, J. Amini
doaj   +1 more source

Uncertainty Quantification of Satellite Soil Moisture Retrieved Precipitation in the Central Tibetan Plateau

Remote Sensing, 2023
SM2RAIN is a well-established methodology for estimating precipitation from satellite or observed soil moisture and it has been applied as a complementary approach to conventional precipitation monitoring methods.
Ke Zhang, Long Zhao, Kun Yang, Lisheng Song, Xiang Ni, Xujun Han, Mingguo Ma, Lei Fan   +7 more
doaj   +1 more source

Environmental factors influencing detection of ring‐necked pheasant broods during August roadside surveys

The Journal of Wildlife Management, Volume 90, Issue 3, April 2026.
We evaluated the influence of environmental factors on detection probability of ring‐necked pheasant broods surveyed during roadside surveys across 11 states. Wind speed, cloud cover, morning dew conditions, and soil moisture influenced detection probabilities and should be the focus of methodological or statistical control in future landscape‐scale ...
Adam K. Janke, Zachary R. Dienes, J. Scott Taylor, Philip M. Dixon, Todd Bogenschutz   +4 more
wiley   +1 more source

Spatial downscaling of SMAP radiometer soil moisture using radar data: Application of machine learning to the SMAPEx and SMAPVEX campaigns

Science of Remote Sensing
This study developed a random forest approach for downscaling the coarse-resolution (36 km) soil moisture measured by The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive (SMAP) mission to 1 km spatial resolution ...
Elaheh Ghafari, Jeffrey P. Walker, Liujun Zhu, Andreas Colliander, Alireza Faridhosseini   +4 more
doaj   +1 more source

Capturing Mesoscale and Submesoscale Ocean Fronts in the Gulf of Mexico With Gaussian Mixture Modeling and Satellite Observations

Earth and Space Science, Volume 13, Issue 4, April 2026.
Abstract This study advances the detection of ocean fronts in the Gulf of Mexico (GoM) by comparing traditional front detection algorithms with a machine learning model. Specifically, we evaluate the performance of three widely used methods, Canny Edge Detection (referred to as Canny), the Cayula‐Cornillon Algorithm (CCA) (referred to as CCA), and the ...
Ethan Cruz, Bulusu Subrahmanyam
wiley   +1 more source