Article
Public, Environmental & Occupational Health
Mohammad Ali Mansournia, Maryam Nazemipour, Ashley Naimi, Gary S. Collins, Michael J. Campbell
Summary: Statistical estimates have uncertainty due to sampling variability, and robust standard errors can address violations of model assumptions, often used in clinical papers.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
(2021)
Article
Engineering, Electrical & Electronic
S. Radhika, F. Albu, A. Chandrasekar
Summary: The Maximum Versoria Criterion (MVC) based adaptive algorithm is robust against impulsive interference and has reduced complexity. The steady-state Excess Mean Square Error (EMSE) of the standard MVC algorithm is analyzed using energy conservation relation, providing exact solutions for Gaussian noise and approximate solutions for non-Gaussian noise cases. Experimental results confirm the theoretical findings.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2021)
Article
Chemistry, Multidisciplinary
Peng Wang, Hongliang Zhao, Guoying Ren
Summary: This paper introduces an intelligent steel measuring tape calibration device based on machine vision technology, which offers high automation and provides accurate and fast measurement results. By designing key components and different identification and locating algorithms, the device is able to adapt to different types of steel measuring tapes and achieve high repeatability of indication error and measurement accuracy.
APPLIED SCIENCES-BASEL
(2022)
Article
Materials Science, Multidisciplinary
Showkat Ahmad Lone, Tabassum Naz Sindhu, Anum Shafiq, Fahd Jarad
Summary: This study proposes a new statistical model using a new alpha power transformation and the Gumbel Type-II distribution, and demonstrates its effectiveness and better fit compared to other models through simulation and real-life data analysis.
RESULTS IN PHYSICS
(2022)
Article
Biochemical Research Methods
Shirun Peng, Dechan Lu, Bohan Zhang, Ruiyun You, Jingbo Chen, Huiyao Xu, Yudong Lu
Summary: Liquid biopsies have significant potential for early detection of colon cancer. Researchers have developed a label-free and non-invasive detection method using surface-enhanced Raman spectroscopy (SERS) with silver nanoparticles as the substrates. By combining this method with machine learning algorithms, accurate diagnosis models for colon cancer can be established.
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
(2023)
Article
Economics
Aifan Ling, Junxue Li, Limin Wen, Yi Zhang
Summary: This paper examines the impact of environmental, social, and governance (ESG) investing on the performance of tracking portfolios and finds that ESG information and investor preference have a positive influence on the expected returns, information ratio, and other performance metrics of these portfolios. The empirical results are consistent with the theoretical predictions and suggest that ESG awareness and preferences are valuable references for investors.
ECONOMIC MODELLING
(2023)
Article
Physics, Particles & Fields
Marzia Bordone, Claudia Cornella, Gino Isidori, Matthias Koenig
Summary: This study examines the precision testing of mu/e universality in B -> pi l(+) l(-) decays, showing that the ratio between muonic and electronic decay widths can be accurately predicted in a wide range of the dilepton invariant mass spectrum within and beyond the Standard Model. Numerical expressions are provided to extract precise information on short-distance dynamics in case of any deviation from universality in the observed data.
EUROPEAN PHYSICAL JOURNAL C
(2021)
Article
Engineering, Electrical & Electronic
Daniel Slomovitz, Alejandro Santos, Rogelio Sandler, Gabriela Barreto
Summary: This article presents the design of a simple construction two-stage current transformer with ratios ranging from 5 A:5 A to 2000 A:5 A, which can be self-calibrated. New methods are proposed to calculate and compensate for errors, reducing ratio error and phase displacement to few mu A/A and mu rad. The UTE standard confirmed the transformer's calculated performance in an international comparison.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Computer Science, Artificial Intelligence
Zaigham Tahir, Hina Khan, Muhammad Aslam, Javid Shabbir, Yasar Mahmood, Florentin Smarandache
Summary: The research under neutrosophic statistics introduces new estimators for handling ambiguous and uncertain data, improving the accuracy and efficiency of estimations.
COMPLEX & INTELLIGENT SYSTEMS
(2021)
Article
Engineering, Multidisciplinary
Ghareeb Moustafa, Hashim Alnami, Sultan Hassan Hakmi, Ahmed Ginidi, Abdullah M. Shaheen, Fahad A. Al-Mufadi
Summary: This paper introduces a new search algorithm, Mantis Search Algorithm (MSA), inspired by the unique foraging behaviors and sexual cannibalism of praying mantises. The MSA is shown to outperform other optimization algorithms in improving the performance of PV systems.
Article
Construction & Building Technology
Xiaotong Zhang, Yafeng Gao, Qiuhua Tao, Yunran Min, Juntao Fan
Summary: High-rise buildings can hinder airflow and cause discomfort for pedestrians due to weak local wind conditions. The lift-up design is an effective way to improve wind comfort at pedestrian height levels. This study investigates the effects of lift-up ratio and positions on pedestrian-level wind environments and provides scientific references for city planners to improve wind comfort.
BUILDING AND ENVIRONMENT
(2023)
Article
Engineering, Electrical & Electronic
Chen He, Yangrui Dong, Z. Jane Wang
Summary: When acting as dynamic receivers, UAVs have advantages over static base stations for RSS-based target searching. The RSS tends to become stronger as the UAV moves towards the estimated coordinate, leading to higher estimation precision. However, the assumption of a simple free space propagation model for RSS may result in poor estimation precision and failure in areas with complex topography. In this paper, we propose multi-UAV target searching with the assistance of radio maps, which provide information on the topography's influence on RSS. Simulations show that using radio maps significantly improves localization precision and searching efficiency in complex topography areas.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Chemistry, Analytical
Guiling Zhao, Maolin Tan, Xu Wang, Weidong Liang, Shuai Gao, Zhijian Chen
Summary: This paper proposes a new IMU calibration model based on polar decomposition, which decomposes the installation error into a nonorthogonal error and a misalignment error. The experimental results show that the proposed simplified calibration model is superior to the traditional simplified calibration model in attitude accuracy, velocity accuracy, and position accuracy.
Article
Mathematics
Showkat Ahmad Lone, Tabassum Naz Sindhu, Marwa K. H. Hassan, Tahani A. A. Abushal, Sadia Anwar, Anum Shafiq
Summary: Statistical models are crucial for data analysis, and researchers are always looking for potential or the latest statistical models to fit different data sets. In this investigation, a T-X transformation and the Gumbel Type-II model were used to create an improved statistical model. Simulation evaluation was conducted to assess the efficacy of the parameters. Two actual data sets were utilized to demonstrate the application of the T-X approach in producing the new and improved Gumbel Type-II (NIGT-II) distribution, and the results suggest that the NIGT-II distribution outperforms the Gumbel Type-II distribution.
Article
Mathematical & Computational Biology
Lei Ge, Liang Zhu, Jianguo Sun
Summary: Panel count data are frequently encountered in event history studies, where only incomplete information about point processes is observed. A sieve maximum likelihood estimation approach using Bernstein polynomials is proposed, with an EM algorithm developed for implementation. Simulation studies show that the method works well in practical situations, as demonstrated in an example involving cancer survivors.
STATISTICS IN MEDICINE
(2021)
Article
Forestry
Steen Magnussen, Thomas Nord-Larsen
Summary: This study addresses the issue of spatial heterogeneity and prediction accuracy improvement in design-based model assisted inference from forest inventory data. Through examples, it demonstrates how to obtain an assisting model, test for spatial stationarity in regression coefficients, and identify spatial model strata for post-stratification.
SCANDINAVIAN JOURNAL OF FOREST RESEARCH
(2021)
Article
Forestry
Johannes Breidenbach, Janis Ivanovs, Annika Kangas, Thomas Nord-Larsen, Mats Nilsson, Rasmus Astrup
Summary: This study assembled design-based estimators using National Forest Inventory data to provide estimates relevant for greenhouse gas inventories. By leveraging remote sensing auxiliary data and field data, they improved estimators for living-biomass carbon stock loss. The combination of these data sources resulted in considerable efficiency gains for national and subnational estimates.
CANADIAN JOURNAL OF FOREST RESEARCH
(2021)
Article
Environmental Sciences
Kristian Skau Bjerreskov, Thomas Nord-Larsen, Rasmus Fensholt
Summary: This study successfully classified the Danish landscape into forest/non-forest and further into forest types and species using a cloud-based approach with multi-temporal Sentinel 1 and 2 data, achieving high producer accuracies for non-forest, forest types (broadleaf and conifer), and moderate accuracies for tree species groups. The results have applications in Danish national accounting of greenhouse gas emissions from forests, resource assessment, and assessment of forest biodiversity potentials.
Article
Forestry
D. O. J. Reventlow, T. Nord-Larsen, P. Biber, T. Hilmers, H. Pretzsch
Summary: Despite a lack of knowledge on the effects of different strategies, ongoing conversion of even-aged stands to uneven-aged forests in Europe was simulated using SILVA. Different conversion strategies were compared in terms of mean annual increment, structural development, and expectation value over a 150-year conversion period._results showed variations in outcomes, with gap creation showing faster stand heterogeneity development and economic returns.
EUROPEAN JOURNAL OF FOREST RESEARCH
(2021)
Article
Agronomy
Anders Taeroe Nielsen, Thomas Nord-Larsen, Niclas Scott Bentsen
Summary: The study analyzed the impact of transitioning from coal or natural gas to forest biomass on carbon dynamics in district heat and combined heat and power plants in Denmark. Results showed that for coal to biomass transitions, carbon payback time ranged from 0 to 13 years, while for natural gas to biomass transitions, it ranged from 9 to 34 years. Key factors influencing short carbon payback time and emission savings include the use of truly residual biomass, biomass harvest from productive forests, and short transport distances.
GLOBAL CHANGE BIOLOGY BIOENERGY
(2021)
Article
Forestry
Yannik E. Roell, Thomas Nord-Larsen, Amelie Beucher, Mette B. Greve, Mogens H. Greve
Summary: Mapping and validating ecograms for different tree species in Denmark, this study suggests that ecograms are effective tools for determining the suitability of sites for afforestation. However, different tree species may require individual ecogram templates.
Article
Environmental Sciences
Louis de Wergifosse, Frederic Andre, Hugues Goosse, Andrzej Boczon, Sebastien Cecchini, Albert Ciceu, Alessio Collalti, Nathalie Cools, Ettore D'Andrea, Bruno De Vos, Rafiq Hamdi, Morten Ingerslev, Morten Alban Knudsen, Anna Kowalska, Stefan Leca, Giorgio Matteucci, Thomas Nord-Larsen, Tanja Gm Sanders, Andreas Schmitz, Piet Termonia, Elena Vanguelova, Bert Van Schaeybroeck, Arne Verstraeten, Lars Vesterdal, Mathieu Jonard
Summary: This study focused on simulating oak and beech forest growth under different climate change scenarios using the HETEROFOR model. The results showed that climate change had varying effects on net primary production (NPP) in different zones, influenced by factors such as air temperature, rainfall, soil water reserve, and stand characteristics. Increasing CO2 concentration significantly boosted NPP for oak and beech forests.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Biodiversity Conservation
Miren del Rio, Hans Pretzsch, Ricardo Ruiz-Peinado, Herve Jactel, Lluis Coll, Magnus Lof, Jorge Aldea, Christian Ammer, Admir Avdagi, Ignacio Barbeito, Kamil Bielak, Felipe Bravo, Gediminas Brazaitis, Jakub Cerny, Catherine Collet, Sonia Condes, Lars Drossler, Marek Fabrika, Michael Heym, Stig-Olof Holm, Gro Hylen, Aris Jansons, Viktor Kurylyak, Fabio Lombardi, Bratislav Matovi, Marek Metslaid, Renzo Motta, Thomas Nord-Larsen, Arne Nothdurft, Jan den Ouden, Maciej Pach, Marta Pardos, Charlotte Poeydebat, Quentin Ponette, Tomas Perot, Ditlev Otto Juel Reventlow, Roman Sitko, Vit Sramek, Mathias Steckel, Miroslav Svoboda, Kris Verheyen, Sonja Vospernik, Barbara Wolff, Tzvetan Zlatanov, Andres Bravo-Oviedo
Summary: The increasing disturbances in monocultures around the world have led to a growing demand for species mixing. This study analyzed forest data from a wide range of climate conditions in Europe and found that mixing species can significantly increase both the level and stability of stand growth. Temperature was identified as a key factor destabilizing stand growth, which can be mitigated by species mixing. Asynchrony between species was confirmed as the main driver of temporal stability in mixed stands.
JOURNAL OF APPLIED ECOLOGY
(2022)
Article
Forestry
Hans Pretzsch, Andres Bravo-Oviedo, Torben Hilmers, Ricardo Ruiz-Peinado, Lluis Coll, Magnus Lof, Shamim Ahmed, Jorge Aldea, Christian Ammer, Admir Avdagic, Ignacio Barbeito, Kamil Bielak, Felipe Bravo, Gediminas Brazaitis, Jakub Cerny, Catherine Collet, Lars Drossler, Marek Fabrika, Michael Heym, Stig-Olof Holm, Gro Hylen, Aris Jansons, Viktor Kurylyak, Fabio Lombardi, Bratislav Matovic, Marek Metslaid, Renzo Motta, Thomas Nord-Larsen, Arne Nothdurft, Cristobal Ordonez, Jan den Ouden, Maciej Pach, Marta Pardos, Quentin Ponette, Tomas Perot, Ditlev Otto Juel Reventlow, Roman Sitko, Vit Sramek, Mathias Steckel, Miroslav Svoboda, Enno Uhl, Kris Verheyen, Sonja Vospernik, Barbara Wolff, Tzvetan Zlatanov, Miren del Rio
Summary: The study found that the stand structure becomes more homogeneous with increasing site quality, with the asymmetry of competition and growth distribution increasing with higher site index. Mortality mainly eliminates small trees with increasing site index, reducing size variation and structural heterogeneity.
FOREST ECOLOGY AND MANAGEMENT
(2022)
Article
Materials Science, Paper & Wood
Maria Fredriksson, Markus Rueggeberg, Thomas Nord-Larsen, Greeley Beck, Emil Engelund Thybring
Summary: The moisture content of wood cell walls is determined by both environmental conditions and material characteristics of the wood. This study used data exploration to identify the important wood characteristics determining the cell wall moisture content. Chemical composition was found to be the most important predictor of the cell wall moisture content, while in the low moisture range, cellulose crystallinity and hydroxyl accessibility were important predictors, and at high moisture contents, microfibril orientation in the cell walls was important. Overall, no single wood characteristic had a major effect on the cell wall moisture content.
Article
Forestry
Sonja Vospernik, Michael Heym, Hans Pretzsch, Maciej Pach, Mathias Steckel, Jorge Aldea, Gediminas Brazaitis, Andres Bravo-Oviedo, Miren Del Rio, Magnus Lof, Marta Pardos, Kamil Bielak, Felipe Bravo, Lluis Coll, Jakub Cerny, Lars Droessler, Martin Ehbrecht, Aris Jansons, Nathalie Korboulewsky, Marion Jourdans, Thomas Nord-Larsen, Arne Nothdurft, Ricardo Ruiz-Peinado, Quentin Ponette, Roman Sitkov, Miroslav Svoboda, Barbara Wolff
Summary: Quercus robur/Quercus petraea and Pinus sylvestris are economically important tree species in Europe, and their growth can be affected by climate, competition, and mixture. This study investigated the diameter growth of these species in monospecific and mixed stands along an ecological gradient. The final model explained 87% of the total variation in diameter increment, with significant effects of age, climate variables, local competition, mixture, and stand structure. The results showed that tree growth declined with age and local density, but increased with social position and mixture.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Forestry
D. O. J. Reventlow, T. Nord-Larsen, H. Sorensen, J. P. Skovsgaard
Summary: In Europe, even-aged, pure stands of Norway spruce grown outside its natural range are vulnerable to butt rot, windthrow, and bark beetle infestation. Climate change may worsen these issues, making it necessary to convert Norway spruce plantations into more diverse forests with greater resistance and resilience towards natural disturbances. A field experiment in western Denmark studied the mortality and height growth of European beech, European silver fir, and Douglas fir planted under a shelterwood of Norway spruce. The results showed that shelter density and species composition influenced the mortality and height growth of the planted trees, suggesting specific recommendations for initial shelter densities for each species.
Article
Forestry
Hans Pretzsch, Miren del Rio, Catia Arcangeli, Kamil Bielak, Malgorzata Dudzinska, David Ian Forrester, Ulrich Kohnle, Thomas Ledermann, Robert Matthews, Ralf Nagel, Francois Ningre, Thomas Nord-Larsen, Henryk Szeligowski, Peter Biber
Summary: This study reveals that in unmanaged forests, tree density decreases over time due to competition and natural mortality. The net growth rate of trees also decreases with age, while the mortality rate remains relatively stable. These findings have significant implications for understanding and managing forest stands.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Multidisciplinary Sciences
Siyu Liu, Martin Brandt, Thomas Nord-Larsen, Jerome Chave, Florian Reiner, Nico Lang, Xiaoye Tong, Philippe Ciais, Christian Igel, Adrian Pascual, Juan Guerra-Hernandez, Sizhuo Li, Maurice Mugabowindekwe, Sassan Saatchi, Yuemin Yue, Zhengchao Chen, Rasmus Fensholt
Summary: This study used nanosatellite imagery to create maps of above-ground biomass of trees in Europe and quantified the contribution of urban and agricultural trees to national carbon stocks. The results showed that although urban and agricultural trees only accounted for 2% of the total tree biomass, there were significant variations between countries, and urban trees made a substantial contribution to national carbon stocks.
Article
Multidisciplinary Sciences
Sizhuo Li, Martin Brandt, Rasmus Fensholt, Ankit Kariryaa, Christian Igel, Fabian Gieseke, Thomas Nord-Larsen, Stefan Oehmcke, Ask Holm Carlsen, Samuli Junttila, Xiaoye Tong, Alexandre d'Aspremont, Philippe Ciais
Summary: Sustainable tree resource management is crucial for mitigating climate warming, fostering a green economy, and protecting habitats. In this study, a deep learning-based framework was developed to provide location, crown area, and height information of individual overstory trees from aerial images at the country scale. The results showed a low bias in identifying large trees and highlighted the significant contribution of trees outside forests to total tree cover, which is often overlooked in national inventories. However, the framework had a higher bias when evaluating all taller trees, including small or understory trees that are undetectable. Moreover, the framework was easily transferable to data from Finland, despite different data sources.
Article
Environmental Sciences
Ruonan Chen, Liangyun Liu, Xinjie Liu, Zhunqiao Liu, Lianhong Gu, Uwe Rascher
Summary: This study presents methods to accurately estimate sub-daily GPP from SIF in evergreen needleleaf forests and demonstrates that the interactions among light, canopy structure, and leaf physiology regulate the SIF-GPP relationship at the canopy scale.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Daniel L. Goldberg, Madankui Tao, Gaige Hunter Kerr, Siqi Ma, Daniel Q. Tong, Arlene M. Fiore, Angela F. Dickens, Zachariah E. Adelman, Susan C. Anenberg
Summary: A novel method is applied in this study to directly use satellite data to evaluate the spatial patterns of urban NOx emissions inventories. The results show that the 108 spatial surrogates used by NEMO are generally appropriate, but there may be underestimation in areas with dense intermodal facilities and overestimation in wealthy communities.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Zhuoyue Hu, Xiaoyan Li, Liyuan Li, Xiaofeng Su, Lin Yang, Yong Zhang, Xingjian Hu, Chun Lin, Yujun Tang, Jian Hao, Xiaojin Sun, Fansheng Chen
Summary: This paper proposes a whisk-broom imaging method using a long-linear-array detector and high-precision scanning mirror to achieve high-resolution and wide-swath thermal infrared data. The method has been implemented in the SDGs satellite and has shown promising test results.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Dandan Wang, Leiqiu Hu, James A. Voogt, Yunhao Chen, Ji Zhou, Gaijing Chang, Jinling Quan, Wenfeng Zhan, Zhizhong Kang
Summary: This study evaluates different schemes for determining model coefficients to quantify and correct the anisotropic impact from remote sensing LST for urban applications. The schemes have consistent results and accurately estimate parameter values, facilitating the broadening of parametric models.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jamie Tolan, Hung - Yang, Benjamin Nosarzewski, Guillaume Couairon, Huy V. Vo, John Brandt, Justine Spore, Sayantan Majumdar, Daniel Haziza, Janaki Vamaraju, Theo Moutakanni, Piotr Bojanowski, Tracy Johns, Brian White, Tobias Tiecke, Camille Couprie
Summary: Vegetation structure mapping is crucial for understanding the global carbon cycle and monitoring nature-based approaches to climate adaptation and mitigation. This study presents the first high-resolution canopy height maps for California and Sao Paulo, achieved through the use of very high resolution satellite imagery and aerial lidar data. The maps provide valuable tools for forest structure assessment and land use monitoring.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Regina Eckert, Steffen Mauceri, David R. Thompson, Jay E. Fahlen, Philip G. Brodrick
Summary: In this paper, a mathematical framework is proposed to improve the retrieval of surface reflectance and atmospheric parameters by leveraging the expected spatial smoothness of the atmosphere. Experimental results show that this framework can reduce the surface reflectance retrieval error and surface-related biases.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Chongya Jiang, Kaiyu Guan, Yizhi Huang, Maxwell Jong
Summary: This study presents the Field Rover method, which uses vehicle-mounted cameras to collect ground truth data on crop harvesting status. The machine learning approach and remote sensing technology are employed to upscale the results to a regional scale. The accuracy of the remote sensing method in predicting crop harvesting dates is validated through comparison with satellite data.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Oksana V. Lunina, Anton A. Gladkov, Alexey V. Bochalgin
Summary: In this study, an unmanned aerial vehicle (UAV) was used to detect and map surface discontinuities with displacements of a few centimeters, indicating the presence of initial geological deformations. The study found that sediments of alluvial fans are susceptible to various tectonic and exogenous deformational processes, and the interpretation of ultra-high resolution UAV images can help recognize low-amplitude brittle deformations at an early stage. UAV surveys are critical for discerning neotectonic activity and its related hazards over short observation periods.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Feng Zhao, Weiwei Ma, Jun Zhao, Yiqing Guo, Mateen Tariq, Juan Li
Summary: This study presents a data-driven approach to reconstruct the terrestrial SIF spectrum using measurements from the TROPOMI instrument on Sentinel-5 precursor mission. The reconstructed SIF spectrum shows improved spatiotemporal distributions and demonstrates consistency with other datasets, indicating its potential for better understanding of the ecosystem function.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Stephen Stehman, John E. Wagner
Summary: This article investigates optimal sample allocation in stratified random sampling for estimation of accuracy and proportion of area in applications where the target class is rare. The study finds that precision of estimated accuracy has a stronger impact on sample allocation than estimation of proportion of area, and the trade-offs among these estimates become more pronounced as the target class becomes rarer. The results provide quantitative evidence to guide sample allocation decisions in specific applications.
REMOTE SENSING OF ENVIRONMENT
(2024)
Article
Environmental Sciences
Jingyao Zheng, Tianjie Zhao, Haishen Lu, Defu Zou, Nemesio Rodriguez-Fernandez, Arnaud Mialon, Philippe Richaume, Jianshe Xiao, Jun Ma, Lei Fan, Peilin Song, Yonghua Zhu, Rui Li, Panpan Yao, Qingqing Yang, Shaojie Du, Zhen Wang, Zhiqing Peng, Yuyang Xiong, Zanpin Xing, Lin Zhao, Yann Kerr, Jiancheng Shi
Summary: Soil moisture and freeze/thaw (F/T) play a crucial role in water and heat exchanges at the land-atmosphere interface. This study reports the establishment of a wireless sensor network for soil moisture and temperature over the permafrost region of Tibetan Plateau. Satellite-based surface soil moisture (SSM) and F/T products were evaluated using ground-based measurements. The results show the reliability of L-band passive microwave SSM and F/T products, while existing F/T products display earlier freezing and later thawing, leading to unsatisfactory accuracy.
REMOTE SENSING OF ENVIRONMENT
(2024)
