Article
Environmental Sciences
Dariusz Stramski, Ishan Joshi, Rick A. Reynolds
Summary: This article introduces a novel algorithm for estimating the concentration of particulate organic carbon (POC) in the global ocean using satellite observations. The algorithm, developed based on field datasets and regression analysis, consists of a combination of different formulas tailored for different satellite sensors. The hybrid algorithms show improved performance compared to existing algorithms and have the potential to generate a long-term consistent data record of POC.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Remote Sensing
G. M. Cesar, N. M. Rudorff, A. L. Oliveira, A. M. Valerio, M. G. Chuqui, M. Pompeu, S. A. Gaeta, R. Frouin, M. Kampel
Summary: This study characterized the bio-optical variability at a coastal time series station in the South Brazil Bight and evaluated the performance of ocean colour algorithms for chlorophyll-a retrieval. Results showed that chlorophyll-a exhibited high variability and CDOM was the dominant optically significant constituent. The ocean colour algorithms performed reasonably well for chlorophyll-a retrieval.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Zigeng Song, Xianqiang He, Yan Bai, Difeng Wang, Fang Gong, Qiankun Zhu, Teng Li, Hao Li
Summary: Investigated the impact of the vertical distribution of absorbing aerosols on atmospheric correction and water-leaving radiance retrieval. Found high occurrence frequencies of absorbing aerosols over Sahara and Arabian Deserts, China, South-Central Africa, and Indian Peninsula. Developed a new aerosol classification algorithm and evaluated the effects on radiance and water-leaving radiance.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Andra Whiteside, Cecile Dupouy, Awnesh Singh, Robert Frouin, Christophe Menkes, Jerome Lefevre
Summary: An underwater volcanic eruption near the Vava'u island group in Tonga on August 7, 2019 created floating pumice that covered an area of 150 km(2) on the ocean's surface. Satellite imagery was used to track the westward drift of the pumice raft for 43 days, indicating the far-reaching effects of the eruption and the importance of monitoring and mitigating potential economic impacts.
Article
Environmental Sciences
Yongquan Wang, Huizeng Liu, Guofeng Wu
Summary: Satellite ocean color remote sensing can be used to detect particulate organic nitrogen (PON) concentrations in the global ocean, with AOP-based models showing the best performance. PON models were developed to explore the monthly variations of PON concentrations in the global ocean, and further studies will investigate the spatiotemporal variations and driving forces of oceanic PON.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Environmental Sciences
Zigeng Song, Xianqiang He, Yan Bai, Xinyi Dong, Difeng Wang, Teng Li, Qiankun Zhu, Fang Gong
Summary: In this study, a new AC algorithm called OC-XGBRT was developed to retrieve Rrs(λ) in the presence of AA in the blue and ultraviolet bands. The algorithm, based on radiative simulation and machine learning, aims to improve the quality of ocean color satellite products over inland and coastal waters with AA. Validation and application results showed that OC-XGBRT outperformed other AC algorithms in terms of accuracy and spatial coverage of Rrs(412 nm) and Rrs(443 nm).
REMOTE SENSING OF ENVIRONMENT
(2023)
Review
Engineering, Electrical & Electronic
Meisam Amani, Arsalan Ghorbanian, Milad Asgarimehr, Bahareh Yekkehkhany, Armin Moghimi, Shuanggen Jin, Amin Naboureh, Farzane Mohseni, Sahel Mahdavi, Nasir Farsad Layegh
Summary: Reliable, accurate, and timely ocean information is important for various applications, and remote sensing systems offer advantages for mapping and monitoring oceanographic parameters. This article reviews different remote sensing systems and approaches used in marine applications, focusing on passive systems. The article discusses various passive sensors and satellites, and the oceanographic parameters that can be retrieved from data acquired by passive remote sensing systems.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Karlis Mikelsons, Menghua Wang, Xiao-Long Wang, Lide Jiang
Summary: The study developed a methodology to derive a global medium-resolution land mask from multiple data sources, showing how combining data from different sources can improve the quality and consistency of the data. Using ocean color product imagery to evaluate and validate the new global land mask, the study demonstrated significant improvements in global ocean color data coverage accuracy.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Ecology
Jongseong Ryu, SeungHyun Son, Chun Ok Jo, Haecheol Kim, Yonghoon Kim, Sang Heon Lee, HuiTae Joo
Summary: The East Sea is a semi-enclosed marginal sea with oceanic features and has been significantly affected by global ocean warming. Accurate measurements of phytoplankton biomass in the sea are necessary to study biological responses to climate change. New algorithms have been developed to improve the assessment of biological and biogeochemical processes.
REGIONAL STUDIES IN MARINE SCIENCE
(2023)
Article
Environmental Sciences
Manh Duy Tran, Vincent Vantrepotte, Hubert Loisel, Eduardo N. Oliveira, Kien Trung Tran, Daniel Jorge, Xavier Meriaux, Rodolfo Paranhos
Summary: This study evaluates the performance of Chl-a band ratio inversion models for estimating Chl-a from Sentinel2-MSI and Sentinel3-OLCI observation. The blue/green inversion models are suitable for clear to medium turbid waters, while the red/NIR models are adapted to turbid/high-Chl-a environments. The combination of multiple band ratio and NDCI-based models provides reliable Chl-a predictions for most global coastal turbid waters, but none of the evaluated algorithms yield satisfying Chl-a estimates in ultra-turbid waters.
Article
Environmental Sciences
Gracia Villalobos, G. N. Williams, N. G. Glembocki, J. P. Pisoni, A. C. Nocera, A. Ferrando
Summary: This study quantifies the influence of phytoplankton community on the light absorption budget in the coastal waters of the North region of the San Jorge Gulf in Argentinian Patagonia. Phytoplankton plays a significant role in the total absorption, with a contribution of 50 % at 443 nm wavelength.
MARINE POLLUTION BULLETIN
(2023)
Article
Acoustics
Mohammad Hadian, Abolfazl Mosaedi
Summary: This study aimed to estimate the concentration of particulate materials in reservoirs using remote sensing technology. By analyzing reflectance values of different bands, an exponential model was developed to accurately estimate the concentration of particulate matter. The model was validated through comparisons with field sampling results, showing its effectiveness in estimating sediment concentrations.
SHOCK AND VIBRATION
(2021)
Article
Environmental Sciences
Ishan D. Joshi, Dariusz Stramski, Rick A. Reynolds, Dale H. Robinson
Summary: Global observations of ocean color provide important data on biogeochemical constituents and processes. Satellite ocean color observations allow for the derivation of the concentration of particulate organic carbon (POC) in surface waters. This study presents the validation and performance assessment of hybrid algorithms for POC retrieval, which show improved performance compared to other algorithms, particularly in high POC waters. The results demonstrate the potential of hybrid algorithms in providing enhanced POC retrievals and generating consistent long-term POC data records from multiple satellite missions.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Qingjun Song, Shuguo Chen, Lianbo Hu, Xi Wang, Xinhao Shi, Xueyin Li, Linke Deng, Chaofei Ma
Summary: This study reports on the implementation of two fixed platforms in the Yellow Sea and East China Sea using optical radiometry instruments to measure remote sensing reflectance and aerosol optical depth. The results show the consistency between the measurements from independent instruments and the data from other sites, allowing for the evaluation of satellite sensor accuracy. Two commonly used atmospheric correction processors are also evaluated in this study.
Article
Remote Sensing
Michael J. Sayers, Gary L. Fahnenstiel, Robert A. Shuchman, Karl R. Bosse
Summary: A new remote sensing approach with a depth-integrated model was developed to estimate global freshwater carbon fixation from satellite observable lakes. Results showed that areal carbon fixation during the growing season decreases with increasing latitude in both hemispheres, with higher fixation rates in the southern hemisphere and the African continent exhibiting the highest rates. Total daily carbon fixation was estimated at 1.03 teragrams of carbon per day, with a majority occurring in the northern hemisphere and North America showing the highest total fixation due to the large number of Canadian Shield lakes.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Oceanography
Chuanmin Hu, Lian Feng, Zhongping Lee, Bryan A. Franz, Sean W. Bailey, P. Jeremy Werdell, Christopher W. Proctor
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2019)
Article
Geosciences, Multidisciplinary
K. M. Bisson, E. Boss, P. J. Werdell, A. Ibrahim, M. J. Behrenfeld
Summary: The study validates lidar backscattering coefficient (b(bp)) globally using autonomous biogeochemical Argo floats and finds that lidar outperforms ocean color in terms of predicting particulate backscattering. There are significant basin-scale differences in phytoplankton carbon estimates derived from ocean color and lidar, with the latter showing differences of up to 50% in some regions.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Oceanography
Lachlan I. W. McKinna, Ivona Cetinic, P. Jeremy Werdell
Summary: This study explored the incorporation of algorithm and in situ measurement uncertainties into empirical ocean color model development. A simple algorithm for deriving the particulate backscattering coefficient was developed using a high-quality bio-optical dataset. The impact of measurement uncertainties on contemporary validation metrics like mean bias and mean absolute error was demonstrated.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2021)
Article
Engineering, Environmental
Megan M. Coffer, Blake A. Schaeffer, Katherine Foreman, Alex Porteous, Keith A. Loftin, Richard P. Stumpf, P. Jeremy Werdell, Erin Urquhart, Ryan J. Albert, John A. Darling
Summary: This study is the first comprehensive assessment of cyanobacterial frequency and abundance near drinking water intakes across the United States. Satellite imagery was found to be effective in monitoring cyanobacterial blooms and providing information for drinking water treatment operators; in 2019, the average bloom frequency was 2% and reached up to 100%, indicating the need for long-term satellite monitoring data to evaluate environmental changes.
Article
Engineering, Ocean
Jeremy Werdell, Annette deCharon
Summary: The PACE mission, scheduled for launch in January 2024, will continue NASA's ocean color, aerosol, and cloud data records, studying the interactions between marine ecosystems and the atmosphere. The global hyperspectral imaging radiometer design of PACE will enable new discoveries and have wide-ranging applications.
MARINE TECHNOLOGY SOCIETY JOURNAL
(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)