Article
Environmental Sciences
Farzane Mohseni, S. Mohammad Mirmazloumi, Mehdi Mokhtarzade, Sadegh Jamali, Saeid Homayouni
Summary: This study evaluated the quality and advantages of the SMAP/Sentinel-1 soil moisture product, showing satisfactory agreement with in situ measurements for most sites, especially performing best in grasslands and croplands. The accuracy of the product in different networks was found to be independent of the presence of water bodies, urban areas, and soil types.
Article
Engineering, Electrical & Electronic
Bartlomiej Salski, Piotr Czekala, Jerzy Krupka, Pawel Kopyt
Summary: A new method for measuring the moisture content and salinity of soil is proposed in this study, using the most accurate permittivity sensor at microwave frequencies. By comparing and extracting intrinsic properties, accurate results are obtained.
IEEE SENSORS JOURNAL
(2022)
Article
Multidisciplinary Sciences
Shin-Chan Han, Khosro Ghobadi-Far, In-Young Yeo, Christopher M. McCullough, Eunjee Lee, Jeanne Sauber
Summary: The size and timing of monsoon floods in Bangladesh are challenging to measure accurately. Utilizing satellite observations and flood models can provide important information for understanding and forecasting floods in the region.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Geochemistry & Geophysics
Konstantinos M. Andreadis, Dean F. Meason, Barbara Hock, Priscilla Lad, Narendra Das
Summary: This study evaluated the ability of three SMAP products to estimate soil moisture in forested environments. The finer-scale products showed higher accuracy but exhibited noise as canopy closure increased. The 9-km product had larger errors but captured the temporal dynamics of soil moisture.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Soil Science
Jamshid Ansari, Sougata Bardhan, Frieda Eivazi, Stephen H. Anderson, Sidath S. Mendis
Summary: This study investigated the effects of different land use systems and soil moisture variations on soil bacterial communities in the Missouri River Floodplain. The results showed that the land use systems had minimal impact on the structure and diversity of soil bacterial communities, while soil moisture significantly influenced the abundance of certain bacterial phyla.
APPLIED SOIL ECOLOGY
(2023)
Article
Geochemistry & Geophysics
A. Colliander, Y. Kerr, J. -P. Wigneron, A. Al-Yaari, N. Rodriguez-Fernandez, X. Li, J. Chaubell, P. Richaume, A. Mialon, J. Asanuma, A. Berg, D. D. Bosch, T. Caldwell, M. H. Cosh, C. Holifield Collins, J. Martinez-Fernandez, H. McNairn, M. S. Seyfried, P. J. Starks, Z. Su, M. Thibeault, J. P. Walker
Summary: The European Space Agency launched the SMOS mission in 2009, which provides multiple global soil moisture products. Four SMOS products were compared, and the IC product showed better performance in unbiased metrics but larger mean difference. However, the differences in performance became smaller when valid retrievals were used. The comparison with the SMAP mission demonstrated that SMOS and SMAP radiometers can achieve similar soil moisture sensitivity.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Nazmus Sazib, John D. Bolten, Iliana E. Mladenova
Summary: Wildfires have significant impacts on people's lives and the environment, and soil moisture is a key factor influencing their occurrences. However, the measurement of soil moisture is challenging, leading to its underutilization in wildfire risk applications. This study evaluates the use of remotely-sensed soil moisture observations to monitor and predict fire risk in Australia and California, finding a strong association between fire activity and soil moisture anomalies. Lagged correlation analysis shows that a remote-sensing based soil moisture product can predict fire activity with a lead-time of 1-2 months.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Na Yang, Feng Xiang, Hengjie Zhang
Summary: This paper investigates the vertical distribution characteristics of surface soil moisture using in situ data from the International Soil Moisture Network and compares them with four microwave satellite remote sensing products. The study finds significant stratification characteristics in surface soil moisture and a potential depth mismatch in the data validation. The satellite retrievals show a higher correlation with the field measurements at a depth of 5 cm/2 in, with SMAP L4 having the smallest difference from the in situ data.
Rating: 8/10. The paper provides important insights into the vertical distribution of surface soil moisture and highlights the potential limitations in data validation. The findings have implications for improving the accuracy of satellite retrievals and understanding soil moisture dynamics
Article
Geochemistry & Geophysics
Carsten Montzka, Heye R. Bogena, Michael Herbst, Michael H. Cosh, Thomas Jagdhuber, Harry Vereecken
Summary: The CEOS LPV subgroup is established to coordinate standardized validation of satellite products, using machine learning methods to generate spatial maps of soil properties for estimating soil moisture variability. The resulting global dataset can help identify the number of in situ stations needed to validate coarse soil moisture products.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Article
Engineering, Electrical & Electronic
Alexander Gruber, Rolf H. Reichle
Summary: This study investigates the assimilation of Soil Moisture Active Passive (SMAP) mission brightness temperature data into a land surface model to improve the simulation of soil moisture. The results show notable skill improvements in most regions, especially for the interannual variations.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Moritz Link, Thomas Jagdhuber, Paolo Ferrazzoli, Leila Guerriero, Dara Entekhabi
Summary: The NASA SMAP satellite mission aims to produce enhanced resolution surface soil moisture products by combining L-band active and passive microwave measurements. This study tested the covariation between active and passive signals using numerical simulations and global satellite observations, focusing on the role of vegetation canopy in modulating the active-passive relationship. The results show that a linear relationship between backscatter and emissivity can be established under various vegetation conditions, with decreasing coupling between active and passive signals with increasing vegetation water content.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Review
Geosciences, Multidisciplinary
Karolina Furtak, Agnieszka Wolinska
Summary: Climate change is progressing and its effects are already visible worldwide. Floods and droughts, which are associated with climate change, have reached extreme levels in recent years and researchers warn that these phenomena will continue to worsen. Reports show a 60% increase in extreme weather events, including hydrological phenomena, in Europe over the past three decades. Water shortages and surpluses have significant impacts on the soil environment, ultimately affecting crop growth and agricultural sectors. Understanding the effects of floods and droughts on soil microbiome is crucial for assessing the implications for agriculture and global food security.
Article
Remote Sensing
Lucia M. Cappelletti, Anna A. Sorensson, Mercedes Salvia, Romina C. Ruscica, Pablo Spennemann, Maria E. Fernandez-Long, Esteban Jobbagy
Summary: In this study, we found that both satellite estimates and in situ measurements face challenges in extremely flat regions. In a case study of a farming region in Argentina, in situ measurements failed to capture the large variability of soil moisture caused by cropping dynamics and waterlogging. Satellite estimates, on the other hand, captured the impact of cropping on soil moisture but were hindered by data gaps, creating blind spots during waterlogging events.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2022)
Article
Soil Science
Luwen Ma, Lan Liu, Yaoshun Lu, Lin Chen, Zhaochen Zhang, Hongwei Zhang, Xiaoran Wang, Li Shu, Qingpei Yang, Qingni Song, Qiaohua Peng, Zeping Yu, Jian Zhang
Summary: Climatic variability along elevational gradients has significant impacts on soil microbial community composition. In this study, we used high-throughput sequencing to examine the taxonomic and phylogenetic diversity of soil bacteria and fungi along a 320-1350 m elevation gradient in subtropical forests. Our findings revealed contrasting patterns in the taxonomic diversity of bacteria and fungi, with bacteria populations decreasing monotonically while fungi taxonomic richness remained unchanged but with an increased Shannon-Wiener index with increasing elevation. Furthermore, we observed that the phylogenetic variability of fungi increased with greater elevation, whereas no significant variability was found for bacteria. Soil temperature and pH were found to be strongly associated with bacterial diversity, while fungal diversity showed weaker correlations with these soil variables. Our study highlights the ecological importance of microclimates in shaping soil microbial communities.
SOIL BIOLOGY & BIOCHEMISTRY
(2022)
Article
Engineering, Multidisciplinary
Jacek Majcher, Marcin Kafarski, Agnieszka Szyplowska, Andrzej Wilczek, Arkadiusz Lewandowski, Wojciech Skierucha, Kamil Staszek
Summary: Rapeseed moisture content is an important parameter for seed storage and harvesting, and there are various devices available for measurement. However, these devices provide average values and do not account for the moisture range of individual seeds. This paper presents a sensor prototype and method that allows for measuring moisture content of individual rapeseeds, reducing the impact of non-uniform shape and inner heterogeneity. A robust algorithm for moisture determination is proposed, eliminating the need for calibration of the microwave measurement circuitry.
Review
Remote Sensing
Patricia Kandus, Priscilla Gail Minotti, Natalia Soledad Morandeira, Rafael Grimson, Gabriela Gonzalez Trilla, Eliana Belen Gonzalez, Laura San Martin, Maira Patricia Gayol
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2018)
Article
Astronomy & Astrophysics
Vanesa M. Douna, Leonardo J. Pellizza, Philippe Laurent, I. Felix Mirabel
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2018)
Article
Environmental Sciences
Viveka Sabaj, Daniel Conde, Lorena Rodriguez-Gallego, Patricia Kandus
WETLANDS ECOLOGY AND MANAGEMENT
(2018)
Article
Marine & Freshwater Biology
Maira Patricia Gayol, Natalia Soledad Morandeira, Patricia Kandus
Article
Agronomy
Veronica Barraza, Francisco Grings, Mariano Franco, Vanesa Douna, Dara Entekhabi, Natalia Restrepo-Coupe, Alfredo Huete, Maria Gassmann, Esteban Roitberg
AGRICULTURAL AND FOREST METEOROLOGY
(2019)
Article
Geochemistry & Geophysics
Mariano Franco, Emanuel More, Esteban Roitberg, Francisco Grings, Estefania Piegari, Vanesa Douna, Pablo Perna
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2019)
Article
Geography
Eliana Gonzalez, Gabriela Gonzalez Trilla, Laura San Martin, Rafael Grimson, Patricia Kandus
Article
Remote Sensing
Laura San Martin, Natalia S. Morandeira, Rafael Grimson, Mariela Rajngewerc, Eliana B. Gonzalez, Patricia Kandus
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2020)
Article
Geochemistry & Geophysics
Francisco Grings, Esteban Roitberg, Veronica Barraza
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2020)
Article
Remote Sensing
Estefania Piegari, Juan Gossn, Francisco Grings, Veronica Barraza Bernadas, Angela B. Juarez, Enrique Mateos-Naranjo, Gabriela Gonzalez Trilla
Summary: The study explores the feasibility of using hyperspectral data to monitor leaf chlorophyll content in marsh vegetation, proposing a detection model based on the radiative transfer model PROSAIL. The model performance was analyzed using simulated reflectances and vegetation indices, with a two-step inversion approach showing promising results in estimating leaf chlorophyll content.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Ecology
V Douna, V Barraza, F. Grings, A. Huete, N. Restrepo-Coupe, J. Beringer
Summary: The study developed a random forest regressor to predict daily evapotranspiration in three sites in Northern Australia, with leaf area index identified as the most important variable. The model showed satisfactory performance in testing, with RMSE errors around 1 mm/day.
JOURNAL OF ARID ENVIRONMENTS
(2021)
Article
Astronomy & Astrophysics
Annika Franeck, Richard Wunsch, Sergio Martinez-Gonzalez, Ivana Orlitova, Peter Boorman, Jiri Svoboda, Dorottya Szecsi, Vanesa Douna
Summary: In this study, we modeled the soft X-ray emission from hot gas in star-cluster winds and estimated the expected emission from unresolved diffuse hot gas in starburst galaxies. Our results suggest that stellar winds contribute little to the observed soft X-ray emission in normal star-forming galaxies, and other mechanisms are more likely responsible for the excess X-ray emission observed in Green Pea galaxies.
ASTROPHYSICAL JOURNAL
(2022)
Article
Astronomy & Astrophysics
M. Poisson, F. Grings, C. H. Mandrini, M. Lopez Fuentes, P. Demoulin
Summary: This study proposes a method utilizing Bayesian statistics to estimate the intrinsic properties of twisted flux tubes that form active regions. The results demonstrate that the method effectively removes the effects of magnetic tongues on the characteristics of emerging flux ropes and provides a better understanding of their properties.
ASTRONOMY & ASTROPHYSICS
(2022)
Article
Astronomy & Astrophysics
J. Svoboda, V Douna, I Orlitova, M. Ehle
ASTROPHYSICAL JOURNAL
(2019)