Results 31 to 40 of about 264,509 (333)
Smart Irrigation Controllers: How Do Soil Moisture Sensor (SMS) Irrigation Controllers Work?
EDIS, 2009 Revised! AE437, a 5-page illustrated fact sheet by Michael D. Dukes, Mary Shedd, and Bernard Cardenas-Lailhacar, is part of the Smart Irrigation Controllers series. It describes how soil moisture sensor systems work, rules for installation, setting the sensor threshold, and programming the irrigation timer. Includes references.
Michael D. Dukes +2 more
openaire +6 more sources
Quasi-Global Assessment of Deep Learning-Based CYGNSS Soil Moisture Retrieval
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 A high spatial and temporal resolution global soil moisture product is essential for understanding hydrologic and meteorological processes and enhancing agricultural applications.
M M Nabi +4 more
doaj +1 more source
, 2021 . High-quality and long-term soil moisture products are significant for hydrologic monitoring and agricultural management. However, the acquired daily Advanced Microwave Scanning Radiometer 2 (AMSR2) soil moisture products are incomplete in global land ...
Qiang Zhang +5 more
semanticscholar +1 more source
Thermal Hydraulic Disaggregation of SMAP Soil Moisture Over the Continental United States
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 A thermal hydraulic disaggregation of soil moisture (THySM) algorithm was implemented to downscale NASA's soil moisture active passive (SMAP) enhanced soil moisture (SM) product to 1 km over the continental United States (CONUS).
Pang-Wei Liu +13 more
doaj +1 more source
Estimation and Validation Study of Soil Moisture Using GPS-IR Technique Over a Tropical Region: Variability of SM With Rainfall and Energy Fluxes [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Soil Moisture (SM) data play an important role in different fields of research like hydrology, agriculture, climatology, etc. In this article, global positioning system interferometric reflectometry technique was used to estimate SM. Estimated SM data have been validated and compared with collocated in situ probe, Soil Moisture and Ocean Salinity (SMOS)
G. N. Madhavi +4 more
openaire +2 more sources
A Long-term Consistent Artificial Intelligence and Remote Sensing-based Soil Moisture Dataset
Scientific Data, 2023 The Consistent Artificial Intelligence (AI)-based Soil Moisture (CASM) dataset is a global, consistent, and long-term, remote sensing soil moisture (SM) dataset created using machine learning.
Olya Skulovich, Pierre Gentine
doaj +1 more source
Remote Sensing, 2022 Remote sensing tools have been extensively used for large-scale soil moisture (SM) mapping in recent years, using Landsat satellite images. Rainfall, soil clay percentage, and the standardized precipitation index play key roles in determining the ...
Umesh Acharya +2 more
doaj +1 more source
Evaluation of a global soil moisture product from finer spatial resolution sar data and ground measurements at Irish sites [PDF]
, 2014 In the framework of the European Space Agency Climate Change Initiative, a global, almost daily, soil moisture (SM) product is being developed from passive and active satellite microwave sensors, at a coarse spatial resolution.
Barrett, Brian +4 more
core +3 more sources
Remote Sensing, 2021 Multi-source soil moisture (SM) products provide a vigorous tool for the estimation of soil moisture on a large scale, but it is crucial to carry out the evaluation of those products before further application.
Yanqing Yang +6 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Soil moisture (SM) plays a vital role in linking the global terrestrial water, energy, and carbon cycles. Land data assimilation (DA) is typically applied for acquiring more accurate SM estimates by incorporating remote sensing (RS) retrievals to constraint model parameters and system states.
Jiaxin Tian +8 more
openaire +2 more sources