Results 101 to 110 of about 4,306 (212)

Selection of the key earth observation sensors and platforms focusing on applications for Polar Regions in the scope of Copernicus system 2020-2030 [PDF]

, 2019
An optimal payload selection conducted in the frame of the H2020 ONION project (id 687490) is presented based on the ability to cover the observation needs of the Copernicus system in the time period 2020–2030.
Camps Carmona, Adriano José, Cote, Judith, Hyuk, Park, Lancheros Sepulveda, Estefany Maria, Pierotti, Stéphane, Rodríguez, Pedro, Tonetti, Stefania   +6 more
core   +2 more sources

Integrated SMAP and SMOS Soil Moisture Observations [PDF]

Soil Moisture Active Passive (SMAP) mission and the Soil Moisture and Ocean Salinity (SMOS) missions provide brightness temperature and soil moisture estimates every 2-3 days.
Bindlish, Rajat, Chan, Steven, Colliander, Andreas, Jackson, Thomas J., Kerr, Yann   +4 more
core   +1 more source

Simultaenous Retrieval of Surface Roughness Parameters from Combined Active-Passive SMAP Observations [PDF]

, 2019
Soil roughness strongly influences processes like erosion, infiltration, moisture and evaporation of soils as well as growth of agricultural plants.
Akbar, Ruzbeh, Entekhabi, Dara, Fluhrer, Anke, Jagdhuber, Thomas, O'Neill, Peggy   +4 more
core   +2 more sources

Comprehensive Analysis of CYGNSS GNSS-R Data for Enhanced Soil Moisture Retrieval

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Soil moisture, an essential climate variable, is traditionally retrieved on large scales using passive or active microwave sensors, with temporal resolution of 2–3 days and no less than 6 days, respectively.
Paulo Setti, Sajad Tabibi
doaj   +1 more source

NIR-Red Spectra-Based Disaggregation of SMAP Soil Moisture to 250 m Resolution Based on SMAPEx-4/5 in Southeastern Australia

Remote Sensing, 2017
To meet the demand of regional hydrological and agricultural applications, a new method named near infrared-red (NIR-red) spectra-based disaggregation (NRSD) was proposed to perform a disaggregation of Soil Moisture Active Passive (SMAP) products from 36
Nengcheng Chen, Yuqi He, Xiang Zhang
doaj   +1 more source

The Soil Moisture Active Passive Marena, Oklahoma, In Situ Sensor Testbed (SMAP‐MOISST): Testbed Design and Evaluation of In Situ Sensors [PDF]

, 2016
Michael H. Cosh, Tyson E. Ochsner, L. McKee, Jingnuo Dong, Jeffrey B. Basara, Steven R. Evett, Christine Hatch, Eric E. Small, Susan Steele‐Dunne, Marek Zreda, Chadi Sayde   +10 more
openalex   +1 more source

Soil Moisture Active/Passive (SMAP) Level 4 Carbon (L4C) Nature Run version 7.2

, 2020
K. Arthur Endsley, L. A. Jones, John S. Kimball   +2 more
openalex   +2 more sources

Integration of SMAP and SMOS Observations [PDF]

Soil Moisture Active Passive (SMAP) mission and the Soil Moisture and Ocean Salinity (SMOS) missions provide brightness temperature and soil moisture estimates every 2-3 days.
Bindlish, Rajat, Chan, Steven, Colliander, Andreas, Jackson, Thomas J., Kerr, Yann   +4 more
core   +1 more source

A seamless global daily soil moisture dataset (2010–2015) harmonized from SMOS observations and SMAP-era assimilation modeling

International Journal of Digital Earth
The consecutive Soil Moisture and Ocean Salinity (SMOS) and Soil Moisture Active Passive (SMAP) satellite missions have enhanced global L-band soil moisture monitoring.
Xiaoyi Wang, Haishen Lü, Sidong Zeng, Gerald A Corzo Perez, Qiqi Gou, Linhan Yang, Yongyue Ji, Yiling Yao, Jianbin Su   +8 more
doaj   +1 more source

Localization of L-Band RFI Sources from SMAP Data [PDF]

RFI (Radio-Frequency Interference) in the 1400-1427 MHz band degrades the quality of measurements made by satellite missions such as SMAP (Soil Moisture Active/Passive), Aquarius and SMOS (Soil Moisture and Ocean Salinity).
de Matthaeis, Paolo, Le Vine, David M., Soldo, Yan   +2 more
core   +1 more source