Article
Remote Sensing
Bruno Cesar Comini de Andrade, Eber Jose de Andrade Pinto, Anderson Ruhoff, Gabriel B. Senay
Summary: The study highlights that agricultural activities, associated with an increasing trend of atmospheric evaporative demand, are responsible for the decrease in groundwater levels and streamflow in the studied time period.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Colin Brust, John S. Kimball, Marco P. Maneta, Kelsey Jencso, Mingzhu He, Rolf H. Reichle
Summary: Evapotranspiration (ET) is a crucial hydrological variable that connects the water, carbon, and energy cycles of the Earth. Remote sensing-based models are often used to quantify ET at large scales, but few models incorporate soil moisture, leading to decreased accuracy. By integrating soil moisture estimates from NASA's SMAP mission into the MOD16 ET algorithm framework, along with vegetation observations and regional meteorology data, model performance can be significantly improved, especially in arid climates.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Shimelis Asfaw Wakigari, Robert Leconte
Summary: This study demonstrates the successful downscaling of global soil moisture data using random forest models, improving spatial resolution and achieving good consistency and accuracy in humid climate conditions.
Article
Environmental Sciences
Hao Sun, Yajing Cui
Summary: This study evaluated the downscaled soil moisture using machine learning methods, finding that adding geographical factors significantly improved the downscaled results, and integrating multiple factors achieved the best performance.
Article
Water Resources
Venkataraman Lakshmi, Manh-Hung Le, Benjamin D. Goffin, Jessica Besnier, Hung T. Pham, Hong-Xuan Do, Bin Fang, Ibrahim Mohammed, John D. Bolten
Summary: This study evaluates the historical drought in the Lower Mekong River Basin (LMRB) during 2015-2016 using NASA satellite sensors. It finds that using GRACE data to study droughts in small watersheds is not effective, while downscaled SMAP soil moisture data correlates well with the Standardized Streamflow Index (SSI). This study highlights the importance of satellite-based observations for water resources and land management decisions at the regional scale.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Engineering, Civil
I. P. Senanayake, I-Y Yeo, G. R. Willgoose, G. R. Hancock
Summary: This study compares two soil thermal inertia-based downscaling models to meet the required level of spatial resolution for various applications. The findings show that both models performed well in estimating soil moisture at a high spatial resolution in semi-arid regions.
JOURNAL OF HYDROLOGY
(2021)
Article
Geochemistry & Geophysics
Kevin A. Twedt, Sarah Henderson, Xiaoxiong Xiong, Amit Angal, Xu Geng
Summary: This paper discusses the impact of nonlinearity in Aqua MODIS band detectors on NASA's MODIS reflectance and radiance products, and presents a simple quadratic calibration algorithm to improve data consistency.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Kazuhisa A. Chikita, Tomoyuki Wada, Isao Kudo, Sei-Ichi Saitoh, Toru Hirawake, Mitsuhiro Toratani
Summary: The study indicates that sediment plumes initiated by glacier-melt and sediment runoffs in the Yukon River delta can disperse in the Bering Sea, with dispersion controlled by sediment runoff events in the Yukon River.
Article
Geochemistry & Geophysics
Amit Angal, Xiaoxiong Xiong, Kurtis Thome, Brian N. Wenny
Summary: The MODIS instruments onboard Terra and Aqua spacecraft have been operational for nearly two decades, providing comprehensive observations of the Earth. RadCalNet, an initiative by CEOS, offers a unique mechanism for cross-calibration of instruments by minimizing uncertainties associated with overpass time differences. Results from comparing Terra and Aqua MODIS observations using RadCalNet data from the RRVUS site show high agreement in reflectance measurements.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Article
Computer Science, Interdisciplinary Applications
Morteza Khazaei, Saeid Hamzeh, Najmeh Neysani Samani, Arnab Muhuri, Kalifa Goita, Qihao Weng
Summary: Nowadays, there is a demand for high spatial resolution near-real-time Surface Soil Moisture (SSM) data. However, existing passive microwave systems can only provide such information at a relatively coarse resolution. To address this issue, we developed a Satellite-based Hydrological Monitoring System (SHMS), which combines different data sources to generate high-resolution SSM maps.
COMPUTERS & GEOSCIENCES
(2023)
Article
Environmental Sciences
Ahmed K. Gad, Kerrin Toner, Mark C. Benfield, Stephen R. Midway
Summary: Microplastics are widely present in Earth's ecosystems, and efforts have been made to understand their distribution. The study on the Mississippi River reveals the presence of microplastics in all sampled fish species and sites, with increased occurrence in the Lower Mississippi River. Fragmented microplastics made of polypropylene were the most common form detected. The hypothesis that microplastic loads increase downstream was only supported for Largemouth Bass, while other fish species showed similar microplastic loads along the mainstem Mississippi River. This study highlights the heterogeneous distribution of microplastics and the need for further research on their distribution patterns and impacts on different species.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Agronomy
Lelia Weiland, Cheryl A. Rogers, Camile Sothe, M. Altaf Arain, Alemu Gonsamo
Summary: Soil respiration, a key ecosystem process, can be estimated using satellite-derived land surface temperature and soil moisture. This study evaluated three empirical models and a Random Forest algorithm, which were calibrated using in-situ measurements and validated against soil CO2 fluxes from automatic chambers. The results showed that satellite observations can explain over 70% of the variability in soil respiration and provide comparable accuracy to in-situ measurements.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Environmental Sciences
Vladislav R. Zhuk, Arseny Alexandrovich Kubryakov
Summary: The study reveals that the propagation of the Lena River plume is influenced by the variability of dominant zonal wind direction, resulting in three main types of plume propagation: << northern >>, << eastern >>, and a << mixed >> type. Since 2010, the intensity of the << eastern >> type has increased.
Article
Environmental Sciences
Eva E. Borbas, Paul W. Menzel
Summary: This study compares tropospheric moisture data records derived from HIRS and MODIS measurements, finding that their seasonal cycles are in synchronization with zonal mean values within one degree longitude.
Article
Environmental Sciences
Rebecca A. McPherson, Craig L. Stevens, Joanne M. O'Callaghan, Andrew J. Lucas, Jonathan D. Nash
Summary: Observations from a fast-flowing buoyant river plume in New Zealand showed that lateral spreading of the plume was driven by strong stratification and enhanced shear, with estimates derived from different methods yielding varying results. Surface drifters underestimated spreading rates, likely due to convergence of near-surface flow. Horizontal shear dispersion was identified as the dominant mechanism of dispersion, influencing spreading in the surface plume layer.
FRONTIERS IN MARINE SCIENCE
(2021)
Article
Geosciences, Multidisciplinary
Laura Muntjewerf, Michele Petrini, Miren Vizcaino, Carolina Ernani da Silva, Raymond Sellevold, Meike D. W. Scherrenberg, Katherine Thayer-Calder, Sarah L. Bradley, Jan T. M. Lenaerts, William H. Lipscomb, Marcus Lofverstrom
GEOPHYSICAL RESEARCH LETTERS
(2020)
Article
Meteorology & Atmospheric Sciences
Laura Muntjewerf, Raymond Sellevold, Miren Vizcaino, Carolina Ernani da Silva, Michele Petrini, Katherine Thayer-Calder, Meike D. W. Scherrenberg, Sarah L. Bradley, Caroline A. Katsman, Jeremy Fyke, William H. Lipscomb, Marcus Lofverstrom, William J. Sacks
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2020)
Article
Meteorology & Atmospheric Sciences
Laura Muntjewerf, William J. Sacks, Marcus Lofverstrom, Jeremy Fyke, William H. Lipscomb, Carolina Ernani da Silva, Miren Vizcaino, Katherine Thayer-Calder, Jan T. M. Lenaerts, Raymond Sellevold
Summary: Earth system/ice-sheet coupling is a recent major area of Earth System Model development, focusing on simulating the interactions between climate and ice sheets. The latest model includes simulations of the Greenland Ice Sheet, showing how ice sheet changes can impact climate change.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2021)