Article
Environmental Sciences
Dirk Botje, Ashraf Dewan, T. C. Chakraborty
Summary: This study analyzes the differences in land surface temperature (LST) of three different products in urban and non-urban areas of Western Australia. The results show that there are significant differences in LST between the products, particularly in Perth city and the Kimberley region. It is important to further investigate these differences, especially if the older product is to be replaced by the newer systems.
Article
Environmental Sciences
Disong Fu, Christian A. Gueymard, Xiangao Xia
Summary: This study aims to validate an improved ABI AOD product based on an empirical bias correction algorithm. Results show that the product performs moderately well over land and ocean but poorly over urban areas, grasslands, shrublands, and mountains. Furthermore, the study highlights systematic overestimation and reduced data availability and accuracy in the bias-corrected ABI AOD product.
ATMOSPHERIC ENVIRONMENT
(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
Yuling Liu, Peng Yu, Heshun Wang, Jingjing Peng, Yunyue Yu
Summary: This study validates the performance of VIIRS LST using ground observations from multiple radiation networks. The results show a close agreement between VIIRS LST and ground LST, with seasonal variations. The study also reveals data anomalies at two sites and quantifies heterogeneity levels using Landsat-8 data.
Article
Environmental Sciences
Zeyu Zhang, Jun Zhou, Jingzhe Liu, Xiaoqian Liu, Yanwen Zhu, Huixuan Li, Yurong Cui
Summary: With the insidiously growing impact of urban development on the environment, the issue of air quality has attracted extensive attention nationally and globally. Through studying the correlation between urbanization and air quality in Jinan City over the past decade, it is found that urban development does not inevitably result in elevated levels of aerosol optical depth (AOD), and the city government has achieved remarkable results in controlling the atmospheric environment.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Zeyu Zhang, Jun Zhou, Jingzhe Liu, Xiaoqian Liu, Yanwen Zhu, Huixuan Li, Yurong Cui
Summary: This study, based on data from Jinan City, found that urban development does not necessarily lead to worsened air quality, and the relationship between air quality and urban development has also changed with the implementation of environmental governance policies. The government of Jinan has achieved remarkable results in controlling the atmospheric environment.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Environmental Sciences
Nurul Iman Saiful Bahari, Farrah Melissa Muharam, Zed Zulkafli, Norida Mazlan, Nor Azura Husin
Summary: MODIS land surface temperature data are measured from the earth's surface via satellites and have discrepancies when compared to air temperature data, but a relationship between the two has been established. By applying different correction methods, such as Linear Scaling and Quantile Mapping Mean Bias Correction, the accuracy of MODIS T-s products can be improved, with different methods performing better in station vs. regional analysis.
Article
Biodiversity Conservation
Siyi Huang, Lijun Yu, Danlu Cai, Jianfeng Zhu, Ze Liu, Zongke Zhang, Yueping Nie, Klaus Fraedrich
Summary: This study examines the dynamics and driving mechanisms of urbanization in China by analyzing nighttime light signals. The findings reveal that geographical and economic factors are the main driving mechanisms in flat urban areas, while geographical and community factors play a more important role in mountainous urban areas. Additionally, population factors also have a significant impact on urbanization. These results have important implications for urban planning and decision-making.
ECOLOGICAL INDICATORS
(2023)
Article
Environmental Sciences
Xin Su, Yifeng Wei, Lunche Wang, Ming Zhang, Daoyang Jiang, Lan Feng
Summary: This study evaluated and compared the accuracy, stability, and continuity of four deep blue (DB) aerosol optical depth (AOD) products in Asia, and found that VIIRS DB has the highest accuracy and stability. Although there are differences in the AOD averages among different products, their changing trends are consistent.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Environmental Sciences
Aolin Jia, Han Ma, Shunlin Liang, Dongdong Wang
Summary: A novel method for estimating cloudy-sky LST from polar-orbiting satellite data based on the surface energy balance principle has been developed. The proposed method shows good performance across different sensors, seasons, and land cover types, providing more accurate LST estimation compared to previous methods.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Engineering, Electrical & Electronic
Kaiyuan Li, Kaiyu Guan, Chongya Jiang, Sheng Wang, Bin Peng, Yaping Cai
Summary: This study evaluates different satellite LST products for agricultural landscapes in the U.S. Corn Belt, with results showing that most products have acceptable nighttime and daytime temperature biases. ECOSTRESS performs best in daytime LST, while MOD11A1 and MYD11A1 slightly underestimate daytime LST. Considering factors like bias, root-mean-squared error, spatial resolution, and cloud-free data availability, MOD11A1 and MYD11A1 are relatively suitable for agriculture-related applications.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Taeyoung Choi, Changyong Cao
Summary: This study validates the long-term trends of the on-board SD based radiometric calibration of S-NPP VIIRS DNB by using the moon as an independent on-orbit calibration source, achieving validation within two percent of the lunar F-factors over nine years of S-NPP VIIRS operation.
Article
Green & Sustainable Science & Technology
E. Ustaoglu, R. Bovkir, A. C. Aydinoglu
Summary: This study fills a research gap by analyzing the agricultural and non-agricultural GDP of Turkey in 2015 using satellite data and land use information. The spatial mapping of GDP for different sectors provides a better understanding of economic differences in various regions of Turkey.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2021)
Article
Biodiversity Conservation
Junfu Fan, Qingyun Liu, Zhoupeng Ren, Zheng Chen, Wenqiang Li, Yong Yu, Yuke Zhou
Summary: This study explores the relationship between urban nighttime light luminosity transitions and land use changes through the analysis of nighttime light data and land use data. It is found that there is a significant correlation between nighttime light luminosity transitions and urban lands with intensive human activity at the pixel level. This study provides a theoretical basis for quickly assessing changes in urban land use types through transitions in nighttime light luminosity.
ECOLOGICAL INDICATORS
(2022)
Article
Environmental Sciences
Philipp Reiners, Sarah Asam, Corinne Frey, Stefanie Holzwarth, Martin Bachmann, Jose Sobrino, Frank-M Goettsche, Joerg Bendix, Claudia Kuenzer
Summary: Land Surface Temperature (LST) is crucial for tracking the impact of changing climatic conditions, and satellite-derived LST is essential for consistently monitoring these changes over large areas and long time periods. The TIMELINE project successfully derived stable LST time series from multi-decadal AVHRR data, with errors mainly influenced by the LST level.
Article
Oncology
Celia Vaury, Pauline Macaire, Francoise Goirand, Bruno Coudert, Pascal Guerard, Antonin Schmitt
Summary: This case demonstrates poor diffusion of everolimus in pleural fluid, leading to inefficacy in treating pleural progression of metastatic breast cancer.
JOURNAL OF ONCOLOGY PHARMACY PRACTICE
(2021)
Article
Oncology
Sylvain Ladoire, Vincent Goussot, Emilie Redersdorff, Adele Cueff, Elise Ballot, Caroline Truntzer, Siavoshe Ayati, Leila Bengrine-Lefevre, Nathalie Bremaud, Bruno Coudert, Isabelle Desmoulins, Laure Favier, Clea Fraisse, Jean-David Fumet, Roxana Hanu, Audrey Hennequin, Alice Hervieu, Silvia Ilie, Coureche Kaderbhai, Aurelie Lagrange, Nils Martin, Irina Mazilu, Didier Mayeur, Remi Palmier, Anne-Laure Simonet-Lamm, Julie Vincent, Sylvie Zanetta, Laurent Arnould, Charles Coutant, Aurelie Bertaut, Francois Ghiringhelli
Summary: A study conducted at a large cancer center showed low seroprevalence of SARS-CoV-2 antibodies among both staff and patients, despite more high-risk factors among patients. None of the tested risk factors were statistically associated with seroprevalence in either group. Only fever, loss of smell, and loss of taste were significantly more frequent among seropositive patients.
EUROPEAN JOURNAL OF CANCER
(2021)
Article
Meteorology & Atmospheric Sciences
A. Bernus, C. Ottle, N. Raoult
Summary: By analyzing the global distribution of lake characteristics and conducting a sensitivity analysis of FLake parameters, the study highlights the importance of lake depth, radiative parameters, and thermocline relaxation coefficient in different climate conditions.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Meteorology & Atmospheric Sciences
John A. Augustine, Gary B. Hodges
Summary: Analysis of surface solar irradiance and radiation budget data in the U.S. shows a period of increasing solar radiation from 1996 to 2012, followed by a decrease starting in 2013, primarily influenced by changes in cloud cover.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Meteorology & Atmospheric Sciences
R. J. H. Dunn, F. Aldred, N. Gobron, J. B. Miller, K. M. Willett, M. Ades, Robert Adler, Richard, P. Allan, Rob Allan, J. Anderson, Anthony Arguez, C. Arosio, John A. Augustine, C. Azorin-Molina, J. Barichivich, H. E. Beck, Andreas Becker, Nicolas Bellouin, Angela Benedetti, David I. Berry, Stephen Blenkinsop, Olivier Bock, X. Bodin, Michael G. Bosilovich, Olivier Boucher, S. A. Buehler, B. Calmettes, Laura Carrea, Laura Castia, Hanne H. Christiansen, John R. Christy, E. -S. Chung, Melanie Coldewey-Egbers, Owen R. Cooper, Richard C. Cornes, Curt Covey, J. -F. Cretaux, M. Crotwell, Sean M. Davis, Richard A. M. De Jeu, Doug Degenstein, R. Delaloye, Larry Di Girolamo, Markus G. Donat, Wouter A. Dorigo, Imke Durre, Geoff S. Dutton, Gregory Duveiller, James W. Elkins, Vitali E. Fioletov, Johannes Flemming, Michael J. Foster, Stacey M. Frith, Lucien Froidevaux, J. Garforth, Matthew Gentry, S. K. Gupta, S. Hahn, Leopold Haimberger, Brad D. Hall, Ian Harris, D. L. Hemming, M. Hirschi, Shu-pen (Ben) Ho, F. Hrbacek, Daan Hubert, Dale F. Hurst, Antje Inness, K. Isaksen, Viju O. John, Philip D. Jones, Robert Junod, J. W. Kaiser, V. Kaufmann, A. Kellerer-Pirklbauer, Elizabeth C. Kent, R. Kidd, Hyungjun Kim, Z. Kipling, A. Koppa, B. M. Kraemer, D. P. Kratz, Xin Lan, Kathleen O. Lantz, D. Lavers, Norman G. Loeb, Diego Loyola, R. Madelon, Michael Mayer, M. F. McCabe, Tim R. McVicar, Carl A. Mears, Christopher J. Merchant, Diego G. Miralles, L. Moesinger, Stephen A. Montzka, Colin Morice, L. Mosinger, Jens Muhle, Julien P. Nicolas, Jeannette Noetzli, Ben Noll, J. O'Keefe, Tim J. Osborn, T. Park, A. J. Pasik, C. Pellet, Maury S. Pelto, S. E. Perkins-Kirkpatrick, G. Petron, Coda Phillips, S. Po-Chedley, L. Polvani, W. Preimesberger, D. G. Rains, W. J. Randel, Nick A. Rayner, Samuel Remy, L. Ricciardulli, A. D. Richardson, David A. Robinson, Matthew Rodell, N. J. Rodriguez-Fernandez, K. H. Rosenlof, C. Roth, A. Rozanov, T. Rutishauser, Ahira Sanchez-Lugo, P. Sawaengphokhai, T. Scanlon, Verena Schenzinger, R. W. Schlegel, S. Sharma, Lei Shi, Adrian J. Simmons, Carolina Siso, Sharon L. Smith, B. J. Soden, Viktoria Sofieva, T. H. Sparks, Paul W. Stackhouse, Wolfgang Steinbrecht, Martin Stengel, Dimitri A. Streletskiy, Sunny Sun-Mack, P. Tans, S. J. Thackeray, E. Thibert, D. Tokuda, Kleareti Tourpali, Mari R. Tye, Ronald van der A, Robin van der Schalie, Gerard van der Schrier, M. van der Vliet, Guido R. van der Werf, A. Vance, Jean-Paul Vernier, Isaac J. Vimont, Holger Vomel, Russell S. Vose, Ray Wang, Markus Weber, David Wiese, Anne C. Wilber, Jeanette D. Wild, Takmeng Wong, R. Iestyn Woolway, Xinjia Zhou, Xungang Yin, Guangyu Zhao, Lin Zhao, Jerry R. Ziemke, Markus Ziese, R. M. Zotta
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2021)
Article
Oncology
Julie Niogret, Lorraine Dalens, Caroline Truntzer, Sandy Chevrier, Laure Favier, Aurelie Lagrange, Bruno Coudert, Clea Fraisse, Pascal Foucher, Ayoub Zouak, Virginie Westeel, Vincent Goussot, Valentin Derangere, Juliette Albuisson, Laurent Arnould, Romain Boidot, Coureche-Guillaume Kaderbhai, Francois Ghiringhelli
Summary: The study demonstrates the feasibility of integrating large Next Generation Sequencing (LNGS) into clinical management, but it does not appear to provide clinical benefit in the management of patients with advanced non-small-cell lung cancer (NSCLC).
Review
Environmental Sciences
N. MacBean, C. Bacour, N. Raoult, V. Bastrikov, E. N. Koffi, S. Kuppel, F. Maignan, C. Ottle, M. Peaucelle, D. Santaren, P. Peylin
Summary: This review presents the development of a carbon cycle data assimilation (DA) system for optimizing carbon cycle parameters in the ORCHIDEE TBM. The authors analyze the impact of assimilating different carbon cycle related datasets on CO2 fluxes and find that assimilating atmospheric CO2 data is crucial for improving predictions of the terrestrial land carbon sink.
GLOBAL BIOGEOCHEMICAL CYCLES
(2022)
Article
Meteorology & Atmospheric Sciences
John A. Augustine, Antonietta Capotondi
Summary: The long-term variation of North Pacific and North Atlantic sea surface temperatures is associated with multidecadal trends of surface solar radiation in North America, Europe, and Asia. Warm SST anomalies lead to increased cloud cover and dimming of surface solar radiation, while cool SST anomalies correspond to decreased cloud cover and brightening over the continents. These associations are stronger in the northern half of the Northern Hemisphere. In the North Atlantic, there is a lag of about 12 years between the transition of dimming to brightening and SST reversals.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Meteorology & Atmospheric Sciences
R. J. H. Dunn, F. Aldred, N. Gobron, J. B. Miller, K. M. Willett, Melanie Ades, Robert Adler, R. P. Allan, John Anderson, Orlane Anneville, Yasuyuki Aono, Anthony Arguez, Carlo Arosio, John A. Augustine, Cesar Azorin-Molina, Jonathan Barichivich, Aman Basu, Hylke E. Beck, Nicolas Bellouin, Angela Benedetti, Kevin Blagrave, Stephen Blenkinsop, Olivier Bock, Xavier Bodin, Michael G. Bosilovich, Olivier Boucher, Gerald Bove, Dennis Buechler, Stefan A. Buehler, Laura Carrea, Kai-Lan Chang, Hanne H. Christiansen, John R. Christy, Eui-Seok Chung, Laura M. Ciasto, Melanie Coldewey-Egbers, Owen R. Cooper, Richard C. Cornes, Curt Covey, Thomas Cropper, Molly Crotwell, Diego Cusicanqui, Sean M. Davis, Richard A. M. de Jeu, Doug Degenstein, Reynald Delaloye, Markus G. Donat, Wouter A. Dorigo, Imke Durre, Geoff S. Dutton, Gregory Duveiller, James W. Elkins, Thomas W. Estilow, Nava Fedaeff, David Fereday, Vitali E. Fioletov, Johannes Flemming, Michael J. Foster, Stacey M. Frith, Lucien Froidevaux, Martin Fullekrug, Judith Garforth, Jay Garg, Matthew Gentry, Steven Goodman, Qiqi Gou, Nikolay Granin, Mauro Guglielmin, Sebastian Hahn, Leopold Haimberger, Brad D. Hall, Ian Harris, Debbie L. Hemming, Martin Hirschi, Shu-pen (Ben) Ho, Robert Holzworth, Filip Hrbacek, Daan Hubert, Petra Hulsman, Dale F. Hurst, Antje Inness, Ketil Isaksen, Viju O. John, Philip D. Jones, Robert Junod, Andreas Kaab, Johannes W. Kaiser, Viktor Kaufmann, Andreas Kellerer-Pirklbauer, Elizabeth C. Kent, Richard Kidd, Hyungiun Kim, Zak Kipling, Akash Koppa, Jan Henning L'Abee-Lund, Xin Lan, Kathleen O. Lantz, David Lavers, Norman G. Loeb, Diego Loyola, Remi Madelon, Hilmar J. Malmquist, Wlodzimierz Marszelewski, Michael Mayer, Matthew F. McCabe, Tim R. McVicar, Carl A. Mears, Annette Menzel, Christopher J. Merchant, Diego G. Miralles, Stephen A. Montzka, Colin Morice, Leander Mosinger, Jens Muhle, Julien P. Nicolas, Jeannette Noetzli, Tiina Noges, Ben Noll, John O'Keefe, Tim J. Osborn, Taejin Park, Cecile Pellet, Maury S. Pelto, Sarah E. Perkins-Kirkpatrick, Coda Phillips, Stephen Po-Chedley, Lorenzo Polvani, Wolfgang Preimesberger, Colin Price, Merja Pulkkanen, Dominik G. Rains, William J. Randel, Samuel Remy, Lucrezia Ricciardulli, Andrew D. Richardson, David A. Robinson, Matthew Rodell, Nemesio J. Rodriguez-Fernandez, Karen H. Rosenlof, Chris Roth, Alexei Rozanov, This Rutishauser, Ahira Sanchez-Lugo, Parnchai Sawaengphokhai, Verena Schenzinger, Robert W. Schlegel, Udo Schneider, Sapna Sharma, Lei Shi, Adrian J. Simmons, Carolina Siso, Sharon L. Smith, Brian J. Soden, Viktoria Sofieva, Tim H. Sparks, Paul W. Stackhouse, Ryan Stauffer, Wolfgang Steinbrecht, Andrea K. Steiner, Kenton Stewart, Pietro Stradiotti, Dimitri A. Streletskiy, Hagen Telg, Stephen J. Thackeray, Emmanuel Thibert, Michael Todt, Daisuke Tokuda, Kleareti Tourpali, Mari R. Tye, van der A. Ronald, Robin van der Schalie, Gerard van der Schrier, Mendy van der Vliet, Guido R. van der Werf, Arnold. van Vliet, Jean-Paul Vernier, Isaac J. Vimont, Katrina Virts, Sebastian Vivero, Holger Vomel, Russell S. Vose, Ray H. J. Wang, Markus Weber, David Wiese, Jeanette D. Wild, Earle Williams, Takmeng Wong, R. I. Woolway, Xungang Yin, Ye Yuan, Lin Zhao, Xinjia Zhou, Jerry R. Ziemke, Markus Ziese, Ruxandra M. Zotta, Jessicca Allen, Amy Camper, Gregory Hammer, S. Elizabeth Love-Brotak, Deborah J. Misch, Laura Ohlmann, Deborah B. Riddle, Sara W. Veasey
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2022)
Article
Geography, Physical
Nina Raoult, Sylvie Charbit, Christophe Dumas, Fabienne Maignan, Catherine Ottle, Vladislav Bastrikov
Summary: Greenland ice sheet mass loss is accelerating due to increasing global temperatures. The amount of absorbed solar energy, determined by the ice sheet's surface albedo, plays a crucial role in driving snow and ice melting. By optimizing the albedo scheme in the ORCHIDEE land surface model, focusing on the edges of the ice sheet, we improve the model's fit to data by reducing the root-mean-square deviation by over 25% for the entire ice sheet during the summer months. This improvement is consistent for all years and is also observed at in situ sites from the PROMICE network.
Article
Geosciences, Multidisciplinary
Jan Polcher, Anthony Schrapffer, Eliott Dupont, Lucia Rinchiuso, Xudong Zhou, Olivier Boucher, Emmanuel Mouche, Catherine Ottle, Jerome Servonnat
Summary: Land surface models use atmospheric grid for spatial decomposition and providing lower boundary conditions to the atmosphere, while lateral water flows require higher spatial discretization closely linked to topographic details. This study proposes a methodology to tile the atmospheric grid into hydrological coherent units, allowing easy transfer of land variables for water transport. The quality of generated river networks is compared to original data to quantify degradation introduced by discretization method. The proposed sub-grid approach allows realistic river discharge and temperature predictions independent of atmospheric grid used in an off-line version of ORCHIDEE LSM over Europe.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)
Article
Geosciences, Multidisciplinary
Kandice L. Harper, Celine Lamarche, Andrew Hartley, Philippe Peylin, Catherine Ottle, Vladislav Bastrikov, Rodrigo San Martin, Sylvia I. Bohnenstengel, Grit Kirches, Martin Boettcher, Roman Shevchuk, Carsten Brockmann, Pierre Defourny
Summary: The existing medium-resolution land cover time series provides detailed annual land cover maps at 300 m resolution from 1992 to 2020. To apply this series to Earth system and land surface models, land cover classes need to be converted into model-appropriate plant functional types (PFTs). A new ready-to-use data product has been created, which includes spatially explicit annual maps of PFT fractional composition at 300 m resolution for 1992-2020. This dataset has been used in land surface models to demonstrate its benefits over conventional maps.
EARTH SYSTEM SCIENCE DATA
(2023)
Article
Meteorology & Atmospheric Sciences
Ling Huang, Xuhui Wang, Yanzi Yan, Lei Jin, Kun Yang, Anping Chen, Rongshun Zheng, Catherine Ottle, Chenzhi Wang, Yaokui Cui, Shilong Piao
Summary: Lake surface water temperature (LSWT) is a key parameter in lake energy budget and is highly vulnerable to climate change. This study used a lake model to simulate LSWT for 91 large lakes across China over a 40-year period. The results show an overall warming trend in LSWT, but with large spatial variations. The study also identifies air temperature, downward longwave radiation, and wind speed as the most important climatic drivers for LSWT changes.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Geosciences, Multidisciplinary
Anthony Bernus, Catherine Ottle
Summary: The study coupled the freshwater 1-D FLake lake model with the ORCHIDEE land surface model to simulate global lake energy balance. The results showed that atmospheric forcing had a significant impact on lake energy budget simulations, and higher resolution products led to improvements. The depth parameterization strategy had a minimal influence on the results. Systematic errors were observed in the simulation of ice phenology, which could be explained by scale effects and deficiencies in modeling snow-ice processes. The use of remote sensing data was suggested to improve the model results.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2022)
Article
Geosciences, Multidisciplinary
Zun Yin, Catherine Ottle, Philippe Ciais, Feng Zhou, Xuhui Wang, Polcher Jan, Patrice Dumas, Shushi Peng, Laurent Li, Xudong Zhou, Yan Bo, Yi Xi, Shilong Piao
Summary: This study successfully simulated the streamflow of the Yellow River using a mechanistic global land surface model and quantified the impacts of irrigation and dam operation on streamflow fluctuations. The findings suggest that irrigation significantly reduces river streamflows, while dam operation has a greater impact on streamflow seasonality.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
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)