Global Evaluation of SMAP/Sentinel-1 Soil Moisture Products
Remote Sensing, 2022 SMAP/Sentinel-1 soil moisture is the latest SMAP (Soil Moisture Active Passive) product derived from synergistic utilization of the radiometry observations of SMAP and radar backscattering data of Sentinel-1.
Seyed Mohammad Mirmazloumi +2 more
exaly +3 more sources
SMAP soil moisture drying more rapid than observed in situ following rainfall events
Geophysical Research Letters, 2016 We examine soil drying rates by comparing surface soil moisture observations from the NASA Soil Moisture Active Passive (SMAP) mission to those from networks of in situ probes upscaled to SMAP's sensing footprint.
David C. Goodrich +2 more
exaly +2 more sources
Enhancing Postharvest Quality of Blackberries: Impact of Sonicated and Microwave-Assisted Pasteurized Edible Coating Gels at Different Storage Temperatures [PDF]
GelsBlackberries (Rubus fructicosus L.) are categorized as functional foods, as they are rich in bioactive compounds. Due to limited shelf life and susceptibility to postharvest quality deterioration, it is imperative to investigate postharvest interventions
Muhammad Nadeem +4 more
doaj +2 more sources
Comparative Evaluation of GLDAS, ESA CCI SM and SMAP Soil Moisture with in situ Measurements (Case Study: Lorestan Province) [PDF]
محیط زیست و مهندسی آب, 2023 The aim of this study was to evaluate the effectiveness of estimated soil moisture data obtained from the GLDAS, ESA and SMAP sensor databases with the observed data of the Silakhor Agricultural Meteorological Station to investigate the spatial and ...
Abdolnabi Abdeh kolahchi +3 more
doaj +1 more source
Introducing the SMAP L4 Products and Investigating the Spatio-Temporal Variability of Soil Moisture in Iran [PDF]
Nīvār, 2022 Background and objectives: Although estimation of soil surface moisture plays an important role in soil and water resources management, unfortunately, there is currently no national soil moisture monitoring network in Iran and the distribution of in situ
Ebrahim Asadi Oskouei +2 more
doaj +1 more source
Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches
GIScience & Remote Sensing, 2021 Sea salinity is one of the indicators of the global water cycle and affects the surface and deep circulation of the ocean. While passive microwave satellite sensors have been used to monitor sea surface salinity (SSS), the uncertainties from radio ...
Eunna Jang +3 more
doaj +1 more source
Improving Spatial Resolution of SMAP Surface Soil Moisture through the Synergy of Radar-Microwave Observations at the Firoozabad Watershed, Ardabil [PDF]
پژوهشهای آبخیزداری, 2020 Surface soil moisture retrieval using microwave remote sensing, as the most promising method, has been highly valued due to its great accuracy and temporal resolution in broad scales.
Ayoob Karami +2 more
doaj +1 more source
Remote Sensing, 2022 NASA’s Soil Moisture Active Passive (SMAP) mission only retrieved ~2.5 months of 3 km near surface soil moisture (NSSM) before its radar transmitter malfunctioned. NSSM remains an important area of study, and multiple applications would benefit from 3 km
Liza J. Wernicke +3 more
doaj +1 more source
Estimating Gravimetric Water Content of a Winter Wheat Field from L-Band Vegetation Optical Depth
Remote Sensing, 2019 A considerable amount of water is stored in vegetation, especially in regions with high precipitation rates. Knowledge of the vegetation water status is essential to monitor changes in ecosystem health and to assess the vegetation influence on the water ...
Thomas Meyer +6 more
doaj +1 more source
Detecting Winter Wheat Irrigation Signals Using SMAP Gridded Soil Moisture Data
Remote Sensing, 2019 The southern part of the Hebei Province is one of China’s major crop-producing regions. Due to the continuous decline in groundwater level, agricultural water use is facing significant challenges.
Zhen Hao +4 more
doaj +1 more source