Article
Meteorology & Atmospheric Sciences
Qi-Xiang Chen, Xin-Lei Han, Yu Gu, Yuan Yuan, Jonathan H. Jiang, Xue-Bo Yang, Kuo-Nan Liou, He-Ping Tan
Summary: This study comprehensively evaluated eight aerosol optical depth (AOD) products from various satellite instruments against ground-based measurements, finding that MODIS DB products generally outperform DT products and VIIRS shows the best overall performance. MISR tends to underestimate AOD in moderate and high conditions. Regional differences in AOD bias and seasonal variations in stability were observed. Further improvements are needed for extreme conditions such as very fine aerosols and high precipitable water and temperature.
ATMOSPHERIC RESEARCH
(2022)
Article
Environmental Sciences
Bathsheba Musonda, Yuanshu Jing, Matthews Nyasulu, Brigadier Libanda
Summary: The study utilized MODIS-Terra to investigate long-term aerosol variations over Zambia, revealing increasing spatial gradient values of AOD(550) and AE(470-870) from southern to northern Zambia, with the highest AOD(550) observed during SON season.
AIR QUALITY ATMOSPHERE AND HEALTH
(2022)
Article
Environmental Sciences
Kumari Aditi, Abhishek Singh, Tirthankar Banerjee
Summary: The retrieval accuracy and stability of two aerosol retrieval algorithms, Deep Blue (DB) and Dark Target (DT), applied on VIIRS on-board S-NPP satellite over South Asia, were evaluated. The results showed that DB efficiently retrieved fine aerosol features over bright arid surfaces and smoke/dust dominating events, while DT was better at identifying small fire events under dark vegetated surfaces. However, both algorithms showed unsatisfactory retrieval accuracy against AERONET, with a low percentage of valid retrievals and high RMSE and bias. Further refinement is required for the accuracy of both algorithms to continue the MODIS AOD legacy over South Asia.
ENVIRONMENTAL POLLUTION
(2023)
Article
Geosciences, Multidisciplinary
Yi Wang, Jun Wang, Robert C. Levy, Yingxi R. Shi, Shana Mattoo, Jeffrey S. Reid
Summary: By developing the CW-1km algorithm, spatial continuity of Aerosol Optical Depth (AOD) between land, coast, and open ocean is improved, and the availability of AOD product is increased by 47.0%. Compared with 15 years of marine aerosol network measurements, CW-1km AODs are validated to have a normalized mean bias of 1.0%, much smaller than the 17.6% for the original DT product.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Sujin Eom, Jhoon Kim, Seoyoung Lee, Brent N. Holben, Thomas F. Eck, Sung -Bin Park, Sang Seo Park
Summary: In this study, we analyzed the trends of aerosol types in Korea, China, and Japan using data from Aerosol Robotic Network (AERONET), Visible Infrared Imaging Radiometer Suite (VIIRS), and Ozone Monitoring Instrument (OMI). Our results showed decreasing trends in aerosol optical depth (AOD), angstrom exponent (AE), and fine mode fraction (FMF) in all countries, which can be attributed to the reduction of anthropogenic emissions. The proportions of carbonaceous aerosols (CA) and non-absorbing aerosols (NA) also decreased based on both ground and satellite data. Changes in aerosol types and properties were observed in both ground and satellite data, indicating a steady decrease in fine aerosol pollution in East Asia.
ATMOSPHERIC RESEARCH
(2022)
Article
Environmental Sciences
Yu Wang, Md Arfan Ali, Muhammad Bilal, Zhongfeng Qiu, Song Ke, Mansour Almazroui, Md Monirul Islam, Yuanzhi Zhang
Summary: This study analyzed aerosol optical depth (AOD) data in 13 cities of Jiangsu Province, finding higher AOD in summer and lower in winter, with relatively common frequencies of 0.3 <= AOD < 0.5 associated with anthropogenic activities, increased emissions, and changes in meteorological circumstances.
Article
Environmental Sciences
Darya V. Kalinskaya, Anna S. Papkova
Summary: This study investigates the atmospheric correction of satellite optical data and proposes an additional correction algorithm. The research findings highlight the numerical differences between atmospheric parameters measured at different levels and their relationship with the differences in in situ and satellite remote-sensed reflectance.
Article
Environmental Sciences
Adam Lawson, Jennifer Bowers, Sherwin Ladner, Richard Crout, Christopher Wood, Robert Arnone, Paul Martinolich, David Lewis
Summary: SAVANT was developed to assess the stability and accuracy of ocean color satellites using in situ platforms globally. The study evaluated the impact of varying spatial constraints on match-up uncertainty and aimed to establish an optimal match-up protocol for satellite ocean color calibration and validation.
Article
Environmental Sciences
Muhammad Bilal, Alaa Mhawish, Md. Arfan Ali, Janet E. Nichol, Gerrit de Leeuw, Khaled Mohamed Khedher, Usman Mazhar, Zhongfeng Qiu, Max P. Bleiweiss, Majid Nazeer
Summary: The SEMARA approach, which combines the SREM and SARA methods, was used to retrieve AOD from satellite data over bright urban surfaces in Beijing. The approach showed high accuracy and small errors in the AOD retrievals, making it suitable for aerosol monitoring in urban areas.
Article
Environmental Sciences
Muhammad Bilal, Md. Arfan Ali, Janet E. Nichol, Max P. Bleiweiss, Gerrit de Leeuw, Alaa Mhawish, Yuan Shi, Usman Mazhar, Tariq Mehmood, Jhoon Kim, Zhongfeng Qiu, Wenmin Qin, Majid Nazeer
Summary: Numerous studies have attempted to classify aerosols into different types using only AOD and AE, but these parameters do not provide enough information for accurate classification. A new approach called AEROSA is introduced to provide information on aerosol amount and size based on AOD and AE, without claiming specific aerosol types. AEROSA can accommodate variations in location and season, unlike the traditional GA aerosol types.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Environmental Sciences
Nicolae Ajtai, Alexandru Mereuta, Horatiu Stefanie, Andrei Radovici, Camelia Botezan, Olga Zawadzka-Manko, Iwona S. Stachlewska, Kerstin Stebel, Claus Zehner
Summary: This study validates the AOD retrieved from SEVIRI data by comparing it with AERONET, Poland-AOD, and MODIS data. The results show that the SEVIRI AOD has the best correlation with AERONET, followed by Poland-AOD and MODIS. A revised uncertainty estimate is proposed based on the observed bias from the AERONET validation efforts.
Article
Environmental Sciences
Somaya Falah, Alaa Mhawish, Meytar Sorek-Hamer, Alexei I. Lyapustin, Itai Kloog, Tirthankar Banerjee, Fadi Kizel, David M. Broday
Summary: This study highlights the importance of spatial and temporal averaging in AOD retrievals, as well as the significant impact of different environmental attributes on the accuracy of MAIAC AOD retrievals. Vegetated areas showed better performance in AOD retrievals compared to arid areas, indicating the sensitivity of retrieval accuracy to environmental factors.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Environmental Sciences
Iyasu G. Eibedingil, Thomas E. Gill, R. Scott Van Pelt, Daniel Q. Tong
Summary: Recent observations show an increase in dust storms in the western USA, posing risks to public health, safety, and the economy. Comparisons between satellite AOD data and ground-based AERONET observations reveal varying levels of correlation across different regions and seasons, with Aqua DB AOD generally showing better agreement with AERONET AOD than Terra DB AOD.
Article
Environmental Sciences
Paria Ettehadi Osgouei, Gareth Roberts, Sinasi Kaya, Muhammad Bilal, Jadunandan Dash, Elif Sertel
Summary: Aerosol loading has significant impacts on radiative forcing, climate, and human health. This study evaluated and compared multiple satellite aerosol products in the Eastern Mediterranean and the Black Sea region, with VIIRS aerosol product showing the best performance over coastal areas.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Engineering, Aerospace
Oradee Pilahome, Waichaya Nissawan, Yuttapichai Jankondee, Itsara Masiri, Wilawan Kumharn
Summary: During high concentrations of PM2.5 in Bangkok from January 1, 2016 to December 31, 2021, the relationships between PM2.5, aerosol optical depth (AOD), and cloud parameters were investigated using satellite remote sensing data. The results showed that PM2.5 had a strong negative correlation with cloud fraction (CF) and a negative correlation with AOD. Additionally, PM2.5 had a negative relationship with cloud effective radius (CER) but a positive correlation with cloud top pressure (CTP) and cloud top temperature (CTT). There was also a negative correlation between PM2.5 and cloud optical depth (COD). Cloud parameters are significantly influenced by PM2.5 concentrations during high PM2.5 levels. Rating: 7/10.
ADVANCES IN SPACE RESEARCH
(2023)
Article
Geochemistry & Geophysics
Wei Shi, Menghua Wang
Summary: This study uses data from the Visible Infrared Imaging Radiometer Suite on the Suomi National Polar-orbiting Partnership to derive the normalized water-leaving radiance spectra in high-altitude lakes over the Tibetan Plateau. The study reveals significant diversity in the optical properties of these lakes, posing challenges to the development of remote sensing algorithms for water biological and biogeochemical products in the region.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Xiaolong Yu, Zhongping Lee, Shaoling Shang, Menghua Wang, Lide Jiang
Summary: This study proposes a method based on inherent optical properties to estimate water-leaving albedo in the ocean. The results show that this method outperforms the conventional approach based on chlorophyll-a concentration. The study also highlights the spatial variability and seasonal patterns of water-leaving albedo, emphasizing the importance of incorporating this parameter into ocean-atmosphere and climate models.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Environmental Sciences
Chuanmin Hu, Lin Qi, David C. English, Menghua Wang, Karlis Mikelsons, Brian B. Barnes, Magdalena M. Pawlik, Dariusz Ficek
Summary: Multi-sensor satellite images reveal recurrent image slicks in the Baltic Sea, which have been determined to be caused by pine pollen aggregations through historical reports, laboratory experiments, and spectral diagnostics. These image slicks have distinct reflectance spectral shapes similar to pollen grains, distinguishing them from other floating matters like cyanobacteria. The presence of significant amounts of pollen grains in the Baltic Sea has expanded in recent years, impacting carbon sequestration, marine ecology, biooptics, ocean color calibration/validation, and remote sensing of marine debris.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Engineering, Environmental
Chuanmin Hu, Lin Qi, Menghua Wang, Young-Je Park
Summary: Remote sensing and spectroscopy techniques were used to detect and quantify floating debris after Hurricane Katrina, providing a way for post-hurricane environmental assessment. Satellite images and imaging spectroscopy revealed the distribution and types of debris in the northern Gulf of Mexico, suggesting it was mainly composed of driftwood and dead plants mixed with plastics and other materials. The maximal debris area reached a historical record when measured by area in satellite images.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Environmental Sciences
Pierre Gernez, Maria Laura Zoffoli, Thomas Lacour, Tania Hernandez Farinas, Gabriel Navarro, Isabel Caballero, Tristan Harmel
Summary: Harmful algal blooms (HABs) have significant environmental and economic impacts globally. Detecting and understanding HABs is crucial due to their projected increase in frequency and intensity in the future. While satellite remote sensing has been useful in detecting HABs, identifying the dominant bloom-forming species remains challenging, especially with limited spatial resolution. This study aimed to improve the understanding of HAB diversity through remote sensing analysis of red tides using the high-resolution Sentinel-2 (S2) satellite. Multiple optical bloom types were identified, including cyanobacteria, green Noctiluca scintillans, red N. scintillans, Mesodinium rubrum, Lepidodinium chlorophorum, and various dinoflagellates. Limited by available in situ and S2 observations, as well as spectral resolution, these findings provide valuable insights into the bio-optical diversity of HABs.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Jianwei Wei, Menghua Wang, Karlis Mikelsons, Lide Jiang
Summary: This study explores the variability of chlorophyll-specific absorption coefficient of phytoplankton at 443 nm (aph*(443)) in surface oceans in different seasons and regions. The results show a decreasing gradient of aph*(443) from open oceans to coastal environments, with significant spatial variance. Seasonal variations are prominent and deviate from climatological means. A sinusoidal model characterizes the annual and semiannual features, with latitudinal dependence in amplitudes and phases. Satellite observations confirm a global mean relationship between aph*(443) and Chl-a comparable to in situ measurements, but the seasonal/regional relationships can deviate significantly. The proposed model predicts aph*(443) as a function of geolocation and time, which is validated as a promising alternative to traditional approaches.
Article
Geosciences, Multidisciplinary
Lin Qi, Menghua Wang, Chuanmin Hu, Douglas G. Capone, Ajit Subramaniam, Edward J. Carpenter, Yuyuan Xie
Summary: By using multi-band satellite imagery and deep learning, we have filled the knowledge gap regarding the locations and timing of abundant Trichodesmium around Australia. Trichodesmium was found nearly everywhere around Australia, with a cumulative footprint exceeding 4.6 million km² where the density is above 0.001% on average over 10 years. Strong seasonality was observed, with peak months occurring between September and November. Temperature, iron-rich dust, and black carbon aerosols, influenced by frequent bushfires, played significant roles in determining the spatial distributions and seasonality of Trichodesmium.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Remote Sensing
Menghua Wang, Wei Shi, Lide Jiang
Summary: Through the use of GOCI measurements on the COMS satellite, we have identified and quantified some advantages and applications of satellite geostationary measurements compared to polar-orbiting satellites. The GOCI measurements in the western Pacific Ocean show significant diurnal variability in ocean color properties, particularly in highly turbid coastal regions. Comparisons with measurements from VIIRS in different years have shown consistent results.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Geochemistry & Geophysics
Xiaoming Liu, Menghua Wang
Summary: This study aims to develop improved high spatial resolution gap-fill ocean color products with resolutions of 0.5, 1, and 2 km. By merging data from VIIRS-SNPP, VIIRS-NOAA-20, and OLCI-S3A and S3B sensors, the number of valid ocean product data can be significantly increased. The DINEOF method is applied to generate global gap-free images with 2 km resolution, which can resolve fine ocean features not available in lower resolution images. Higher resolution images also show more detailed ocean structures in coastal regions.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Lin Qi, Menghua Wang, Chuanmin Hu
Summary: Uncertainties in the estimation of Ulva prolifera amounts in the Yellow Sea using remote sensing data have been missing in the literature. We compared data from MODIS and MSI satellites to evaluate uncertainties in MODIS-derived Ulva prolifera amounts. The relative uncertainties decrease with increasing Ulva amounts in individual images and decrease further in the monthly composite data products.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2023)
Article
Engineering, Electrical & Electronic
Wei Shi, Menghua Wang
Summary: Using satellite data and in situ measurements, this study reveals synchronous variability of chlorophyll-a concentration and sea surface salinity (SSS) in the Equatorial Pacific Ocean. A decrease in chlorophyll-a and SSS occurred during the El Nino event in 2015, while enhanced chlorophyll-a and SSS coincided during the La Nina event in 2020. However, sea surface temperature variability did not show a similar relationship with chlorophyll-a and SSS variability. The daily variability of chlorophyll-a and SSS was driven by tropical instability waves, and the mechanisms of synchronous variability on both the daily and monthly bases are discussed.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Remote Sensing
Chuanmin Hu, Lin Qi, Lianbo Hu, Tingwei Cui, Qianguo Xing, Mingxia He, Ning Wang, Yanfang Xiao, Deyong Sun, Yingcheng Lu, Chao Yuan, Mengquan Wu, Changying Wang, Yanlong Chen, Haipeng Xu, Li'e Sun, Maohua Guo, Menghua Wang
Summary: Since 2008, macroalgal blooms of Ulva prolifera in the Yellow Sea have been occurring every year, leading to extensive studies on their origins, transport pathways, temporal changes, causes, and consequences. However, there is substantial variability in the remote sensing methodology, results, and interpretation of the bloom coverage. In this review, we propose conceptual guidelines for a reliable remote sensing methodology to detect and quantify Ulva prolifera blooms in the Yellow Sea, emphasizing the need for a reliable index or algorithm that is tolerant to non-optimal observing conditions, easy to account for subpixel coverage variability, able to interpret spatial patterns and temporal changes considering cloud variability, and minimizes manual work.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Meteorology & Atmospheric Sciences
Vittorio E. Brando, Silvia Pardo, Shubha Sathyendranath, Ben Howey, Peter Land, Thomas Jack-son, Rosalia Santoleri, Michela Sammartino, Simone Colella, Karina von Schuckmann, Dany Ghafari, Emily Smail, Keith VanGraafeiland, Sathyadev Ramachandran, Veronica P. Lance, Menghua Wang
JOURNAL OF OPERATIONAL OCEANOGRAPHY
(2022)
Article
Remote Sensing
Xiaoming Liu, Menghua Wang
Summary: This study presents a method for generating gap-free global chlorophyll-a concentration images by merging data from different satellite sources. The study shows that adding more satellite data can improve the spatial coverage and accuracy of the merged ocean color products. The study also generates gap-free suspended particulate matter and water diffuse attenuation coefficient data using the merged data.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Remote Sensing
Robert Foster, Deric J. Gray, Daniel Koestner, Ahmed El-Habashi, Jeffrey Bowles
Summary: We present a proof-of-concept laboratory study for inverting the partial Mueller scattering matrix of hydrosols from polarimetric observations across a smooth Fresnel boundary. Our method, utilizing the measurements from a hyper-angular polarimeter designed for passive remote sensing, can derive the 9 Mueller matrix elements related to linear polarization for scattering angles between 70 and 110 degrees. We demonstrate agreement between the inversion results and theoretical Mueller matrices, and further validate the method using a commercial LISST-VSF instrument. Challenges and opportunities for the technique are discussed.
FRONTIERS IN REMOTE SENSING
(2022)
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)
