Article
Optics
Kevin Walcarius, Joachim Rosin, Laurent Hespel, Malik Chami, Thibault Dartigalongue
Summary: 3D laser imaging technology can visualize objects hidden in turbid water. It mainly works at short distances due to light attenuation in water. The scattering events outside the optical depth of field can cause optical blur on images.
Article
Astronomy & Astrophysics
Christine E. Collins, Andreas Bauswein, Stuart A. Sim, Vimal Vijayan, Gabriel Martinez-Pinedo, Oliver Just, Luke J. Shingles, Markus Kromer
Summary: The detection of GW170817 and its electromagnetic counterpart AT2017gfo has provided valuable constraints for theoretical models of neutron star mergers and nucleosynthesis. Using a Monte Carlo radiative transfer code, the authors simulate synthetic light curves of the dynamical ejecta from a neutron star merger, taking into account neutrino interactions. They find that emission along polar lines of sight is brighter than that along equatorial lines of sight, and the bolometric light curve exhibits a monotonic decline with a shoulder when the ejecta becomes optically thin. The observed color evolution of AT2017gfo is reproduced by the simulation. The addition of a spherically symmetric secular ejecta component enhances the emission, leading to a shift in the shoulder time from 1-2 days to 6-10 days.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
Article
Geography, Physical
Jose Manuel Fernandez-Guisuraga, Susana Suarez-Seoane, Leonor Calvo
Summary: Forest managers require reliable and cost-efficient methodologies to implement forest resilience concepts after wildfires. This study developed a remote sensing-based tool to measure disturbance impact and engineering resilience in forest ecosystems affected by wildfires, which proved to be reliable and accurate for assessing ecosystem recovery.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Forestry
Jose Manuel Fernandez-Guisuraga, Paulo M. Fernandes, Reyes Tarrega, David Beltran-Marcos, Leonor Calvo
Summary: Large, severe wildfires in the Mediterranean can lead to unpredictable changes in plant communities, impacting ecosystem resilience. This study investigates the role of fire severity and geophysical drivers in post-fire vegetation recovery using remote sensing techniques and identifies the variables influencing recovery in different plant communities. The findings provide insights into the resilience processes of fire-prone communities in the region.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Plant Sciences
Cassy Anne Rodrigues, Alessandra Fidelis
Summary: Different fire frequencies can result in changes in plant communities of open savannas in central Brazil, but do not affect species richness. Annual fire treatments show consistency in post-fire regeneration, while biennial treatments show more variation. Species that appear immediately after a fire may not persist in the long term.
JOURNAL OF VEGETATION SCIENCE
(2022)
Article
Environmental Sciences
Jose Manuel Fernandez-Guisuraga, Jochem Verrelst, Leonor Calvo, Susana Suarez-Seoane
Summary: This study evaluated the potential of estimating FVC from high spatial resolution satellite reflectance data compared to coarser imagery in landscapes affected by a megafire in the western Mediterranean Basin. The accuracy of FVC retrieval was found to be substantially higher from WorldView-3 than from Sentinel-2, with oak forests showing more accurate retrieval compared to heathlands and broomlands. The findings highlight the effectiveness of high spatial resolution satellite data in capturing FVC ground spatial variability using a hybrid RTM retrieval method in heterogeneous burned areas.
REMOTE SENSING OF ENVIRONMENT
(2021)
Article
Environmental Sciences
Sandy P. Harrison, I. Colin Prentice, Keith J. Bloomfield, Ning Dong, Matthias Forkel, Matthew Forrest, Ramesh K. Ningthoujam, Adam Pellegrini, Yicheng Shen, Mara Baudena, Anabelle W. Cardoso, Jessica C. Huss, Jaideep Joshi, Imma Oliveras, Juli G. Pausas, Kimberley J. Simpson
Summary: Recent extreme wildfires are often linked to hot, dry conditions worsened by climate change. Despite much research on fire weather drivers, understanding natural wildfire regimes and their interactions with human activities remains limited. An ecosystem-centered approach is proposed to enhance comprehension and modeling of wildfires, emphasizing the importance of considering fire ecology in future projections in a changing climate.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Forestry
Austin M. Yantes, Samuel P. Reed, Anna M. Yang, Rebecca A. Montgomery
Summary: Temperate savannas are unique and biodiverse ecosystems that have experienced extensive habitat conversion worldwide. In the midwestern United States, the majority of historic oak savanna area has been lost, and the remaining patches are degraded due to the absence of fire and large herbivore disturbances. Restoring the degraded savanna remnants is challenging due to a lack of understanding of how to effectively mimic historic disturbance dynamics.
FOREST ECOLOGY AND MANAGEMENT
(2023)
Article
Forestry
Richard van Dongen, Jaume Ruscalleda-Alvarez, Carl R. Gosper
Summary: The study found that a burn potential model based on vegetation recovery is a better predictor of when an area is likely to burn compared to a model based on years since last burn. This approach can assist fire managers in burn planning and assessing fire risk.
INTERNATIONAL JOURNAL OF WILDLAND FIRE
(2023)
Article
Forestry
Xuezheng Zong, Xiaorui Tian
Summary: This study investigates the likelihood of reburning and changes in fire behaviors during different recovery phases after a fire. The results show that areas with steep slopes and thin soil experience slower recovery rates, and most recovered vegetation in burned areas still has low burn likelihood and fire behaviors. Therefore, artificial regeneration and fire prevention measures should be implemented in highly vulnerable areas.
INTERNATIONAL JOURNAL OF WILDLAND FIRE
(2022)
Article
Thermodynamics
Rene Prieler, Raphael Langbauer, Hannes Gerhardter, Peter Kitzmueller, Stefan Thumser, Guenther Schwabegger, Christoph Hochenauer
Summary: The heat transfer in gypsum exposed to fire is influenced by heat conduction, mass transfer, and condensation/evaporation of water vapor. Previous models were limited to thin gypsum boards, but this study proposes a multi-phase approach to predict heat transfer in gypsum. Results show that considering water vapor transport and condensation can produce accurate predictions of the heating process of gypsum.
APPLIED THERMAL ENGINEERING
(2022)
Article
Astronomy & Astrophysics
R. J. Ridgway, M. Zamyatina, N. J. Mayne, J. Manners, F. H. Lambert, M. Braam, B. Drummond, E. Hebrard, P. Palmer, K. Kohary
Summary: Stellar flares and coronal mass ejections from M dwarf stars have significant impacts on the habitability and atmospheric composition of terrestrial planets. This study used a general circulation model coupled with a photochemical kinetics scheme to examine the response of an Earth-like atmosphere to these events. The research found that stellar flares increase ozone levels in the atmosphere and coronal mass ejections generate potential bio-signatures. However, the changes in atmospheric composition also reduce the amount of harmful ultraviolet light reaching the planetary surface.
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
(2023)
Article
Astronomy & Astrophysics
J. Fisak, J. Kubat, B. Kubatova, M. Kromer, J. Krticka
Summary: To address inaccuracies caused by inhomogeneities and deviations from spherical symmetry, a 3D Monte Carlo code for radiative transfer modelling is developed. This code accurately calculates plasma ionisation and excitation state, as well as photon-matter coupling. The code is compared with another Monte Carlo radiative transfer code, demonstrating its reliability and accuracy in solving the radiative transfer problem.
ASTRONOMY & ASTROPHYSICS
(2023)
Article
Environmental Sciences
Si Gao, Run Zhong, Kai Yan, Xuanlong Ma, Xinkun Chen, Jiabin Pu, Sicong Gao, Jianbo Qi, Gaofei Yin, Ranga B. Myneni
Summary: Vegetation indices (VIs) are widely used for remote sensing monitoring of vegetation vigor and growth dynamics. However, the saturation phenomenon of VIs limits their ability to characterize surface vegetation over dense canopies. In this study, two indicators were proposed to describe the saturation phenomenon, and the performance of different VIs under various conditions was evaluated using simulation and satellite data. The results showed that the simple ratio vegetation index (SR) performed best, with the highest saturation point and good characterization of surface vegetation until LAI reaches 4.
REMOTE SENSING OF ENVIRONMENT
(2023)
Letter
Geosciences, Multidisciplinary
Zheng Li, Jay P. Angerer, X. Ben Wu
Summary: This study found a significant increase in the area burned by large wildfires on rangelands in western United States from 1984 to 2017. While the proportion of areas burned at different severity levels showed no significant trends, the trends were most similar to herbaceous-dominated rangelands and notably different from shrub-dominated rangelands. These findings can assist in developing management strategies to anticipate and reduce wildfire risks, as well as enhance rangeland conservation and sustainability.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Harry Carstairs, Edward T. A. Mitchard, Iain McNicol, Chiara Aquino, Andrew Burt, Medard Obiang Ebanega, Anaick Modinga Dikongo, Jose-Luis Bueso-Bello, Mathias Disney
Summary: This paper investigates the relationship between TanDEM-X InSAR phase height (h phi) and aboveground biomass change in a hilly region of central Gabon. The study shows that minimizing multilooking and selecting appropriate pass directions on a pixel-by-pixel basis can enhance and improve degradation estimates.
Editorial Material
Ecology
Vincent Lecours, Mathias Disney, Kate He, Nathalie Pettorelli, J. Marcus Rowcliffe, Temuulen Sankey, Kylie Scales
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2022)
Article
Ecology
Thaiane R. Sousa, Juliana Schietti, Igor O. Ribeiro, Thaise Emilio, Rafael Herrera Fernandez, Hans ter Steege, Carolina Castilho, Adriane Esquivel-Muelbert, Timothy Baker, Aline Pontes-Lopes, Camila V. J. Silva, Juliana M. Silveira, Geraldine Derroire, Wendeson Castro, Abel Monteagudo Mendoza, Ademir Ruschel, Adriana Prieto, Adriano Jose Nogueira Lima, Agustin Rudas, Alejandro Araujo-Murakami, Alexander Parada Gutierrez, Ana Andrade, Anand Roopsind, Angelo Gilberto Manzatto, Anthony Di Fiore, Armando Torres-Lezama, Aurelie Dourdain, Beatriz Marimon, Ben Hur Marimon, Benoit Burban, Bert van Ulft, Bruno Herault, Carlos Quesada, Casimiro Mendoza, Clement Stahl, Damien Bonal, David Galbraith, David Neill, Edmar A. de Oliveira, Eduardo Hase, Eliana Jimenez-Rojas, Emilio Vilanova, Eric Arets, Erika Berenguer, Esteban Alvarez-Davila, Euridice N. Honorio Coronado, Everton Almeida, Fernanda Coelho, Fernando Cornejo Valverde, Fernando Elias, Foster Brown, Frans Bongers, Freddy Ramirez Arevalo, Gabriela Lopez-Gonzalez, Geertje van der Heijden, Gerardo A. Aymard, Gerardo Flores Llampazo, Guido Pardo, Hirma Ramirez-Angulo, Ieda Leao do Amaral, Ima Celia Guimaraes Vieira, Isau Huamantupa-Chuquimaco, James A. Comiskey, James Singh, Javier Silva Espejo, Jhon Del Aguila-Pasquel, Joeri Alexander Zwerts, Joey Talbot, John Terborgh, Joice Ferreira, Jorcely G. Barroso, Jos Barlow, Jose Luis Camargo, Juliana Stropp, Julie Peacock, Julio Serrano, Karina Melgaco, Leandro Ferreira, Lilian Blanc, Lourens Poorter, Luis Valenzuela Gamarra, Luiz Aragao, Luzmila Arroyo, Marcos Silveira, Maria Cristina Penuela-Mora, Mario Percy Nunez Vargas, Marisol Toledo, Mat Disney, Maxime Rejou-Mechain, Michel Baisie, Michelle Kalamandeen, Nadir Pallqui Camacho, Nallarett Davila Cardozo, Natalino Silva, Nigel Pitman, Niro Higuchi, Olaf Banki, Patricia Alvarez Loayza, Paulo M. L. A. Graca, Paulo S. Morandi, Peter J. van der Meer, Peter van der Hout, Petrus Naisso, Plinio Barbosa Camargo, Rafael Salomao, Raquel Thomas, Rene Boot, Ricardo Keichi Umetsu, Richarlly da Costa Silva, Robyn Burnham, Roderick Zagt, Rodolfo Vasquez Martinez, Roel Brienen, Sabina Cerruto Ribeiro, Simon L. Lewis, Simone Aparecida Vieira, Simone Matias de Almeida Reis, Sophie Fauset, Susan Laurance, Ted Feldpausch, Terry Erwin, Timothy Killeen, Verginia Wortel, Victor Chama Moscoso, Vincent Vos, Walter Huaraca Huasco, William Laurance, Yadvinder Malhi, William E. Magnusson, Oliver L. Phillips, Flavia R. C. Costa
Summary: The study found that both excess and deficit of water availability reduce productivity in Amazon upland forests. Biomass and productivity across the Amazon not only respond to regional climate, but also to its interaction with water table conditions, showing high local differentiation.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2022)
Article
Environmental Sciences
Louise Terryn, Kim Calders, Harm Bartholomeus, Renee E. Bartolo, Benjamin Brede, Barbara D'hont, Mathias Disney, Martin Herold, Alvaro Lau, Alexander Shenkin, Timothy G. Whiteside, Phil Wilkes, Hans Verbeeck
Summary: Accurately quantifying tree and forest structure is crucial for understanding and monitoring the functioning of terrestrial ecosystems in a changing climate. Terrestrial Laser Scanning (TLS) and Unoccupied Aerial Vehicle Laser Scanning (UAV-LS) have advanced the accurate measurement of forest structure. Combining TLS and UAV-LS data can further enhance the 3D structural mapping of dense tropical forests. TLS provides accurate measurements on a smaller scale, while UAV-LS provides comparable measurements on a larger scale. The fusion of TLS and UAV-LS can improve the measurement of structural metrics in these forests.
REMOTE SENSING OF ENVIRONMENT
(2022)
Review
Ecology
Miro Demol, Hans Verbeeck, Bert Gielen, John Armston, Andrew Burt, Mathias Disney, Laura Duncanson, Jan Hackenberg, Daniel Kukenbrink, Alvaro Lau, Pierre Ploton, Artie Sewdien, Atticus Stovall, Stephane Momo Takoudjou, Liubov Volkova, Christopher Weston, Verginia Wortel, Kim Calders
Summary: Improving global monitoring of above-ground biomass is crucial for effective forest management in mitigating climate change. Terrestrial laser scanning (TLS) data has been developed to estimate above-ground biomass, addressing uncertainties in current methods. A global dataset of TLS scanned and destructively measured trees was assembled, showing close agreement between TLS-derived values and destructive measurements. However, smaller trees and conifers had below-average performances. TLS estimates of above-ground biomass were more accurate than allometric scaling models, especially for larger trees. Further efforts are needed to understand and constrain TLS error sources for better accuracy. TLS-calibrated models can be a powerful tool for scaling above-ground biomass with less effort compared to destructive harvesting.
METHODS IN ECOLOGY AND EVOLUTION
(2022)
Article
Environmental Sciences
Jacqueline A. Oliver, Frederique C. Pivot, Qing Tan, Alan S. Cantin, Martin J. Wooster, Joshua M. Johnston
Summary: This study focuses on using a random forest classifier to segment waterbodies in thermal infrared images. The results show that this method achieves high accuracy in different situations and can be used for more complex deep learning approaches.
Article
Biodiversity Conservation
Nicolas Labriere, Stuart J. Davies, Mathias Disney, Laura Duncanson, Martin Herold, Simon L. Lewis, Oliver L. Phillips, Shaun Quegan, Sassan S. Saatchi, Dmitry G. Schepaschenko, Klaus Scipal, Plinio Sist, Jerome Chave
Summary: This study aims to establish a global forest biomass reference measurement system. To successfully implement this system, uniform data collection and processing standards, inclusive and equitable system establishment and management, as well as mandatory training and involvement of site partners in downstream activities are emphasized.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Environmental Sciences
Hamze Dokoohaki, Teerath Rai, Marissa Kivi, Philip Lewis, Jose L. Gomez-Dans, Feng Yin
Summary: The study explores the use of Earth Observations (EOs) to constrain agricultural system models and improve parameter estimation and system representation. The results demonstrate the potential practicality of EOs in constraining crop models and show comparable results to model calibration exercises using field measurements alone.
Article
Ecology
Louise Terryn, Kim Calders, Markku Akerblom, Harm Bartholomeus, Mathias Disney, Shaun Levick, Niall Origo, Pasi Raumonen, Hans Verbeeck
Summary: Detailed 3D quantification of tree structure is crucial for understanding tree- and plot-level biophysical processes. Our ITSMe toolbox, which works with LiDAR tree point clouds and quantitative structure models, provides a robust framework for obtaining individual tree structural metrics from 3D data. It is open-source and aims to make the use of 3D data more straightforward and transparent for researchers interested in tree structure information.
METHODS IN ECOLOGY AND EVOLUTION
(2023)
Article
Environmental Sciences
Chang Liu, Kim Calders, Niall Origo, Mathias Disney, Felicien Meunier, William Woodgate, Jean -Philippe Gastellu-Etchegorry, Joanne Nightingale, Eija Honkavaara, Teemu Hakala, Lauri Markelin, Hans Verbeeck
Summary: This study evaluated the trade-offs involved in two main subsampling approaches when reconstructing 3D-explicit forest scenes for radiative transfer modeling. The results showed that both subplot subsampling and tree library subsampling can effectively reconstruct the forest scenes, with the normalized mean BRF deviation decreasing as the sampling fraction increased. Sampling 20% of the forest area using the subplot subsampling method was found to be an effective reconstruction strategy for the temperate deciduous forest.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Geosciences, Multidisciplinary
Jose Luis Gomez-Dans, Philip Edward Lewis, Feng Yin, Kofi Asare, Patrick Lamptey, Kenneth Kobina Yedu Aidoo, Dilys Sefakor MacCarthy, Hongyuan Ma, Qingling Wu, Martin Addi, Stephen Aboagye-Ntow, Caroline Edinam Doe, Rahaman Alhassan, Isaac Kankam-Boadu, Jianxi Huang, Xuecao Li
Summary: Smallholder agriculture is essential for food production in sub-Saharan Africa, but yields are below their potential and are vulnerable to climate change impacts. This paper presents data collected in Ghana on crop locations, biophysical parameters, crop yield, and biomass. The data is used to evaluate cropland masks, develop an LAI retrieval method, create a maize classification dataset, and explore the relationship between LAI and crop yield. This dataset contributes to understanding crop evolution and distribution in smallholder farming systems.
EARTH SYSTEM SCIENCE DATA
(2022)
Article
Ecology
Kim Calders, Hans Verbeeck, Andrew Burt, Niall Origo, Joanne Nightingale, Yadvinder Malhi, Phil Wilkes, Pasi Raumonen, Robert G. H. Bunce, Mathias Disney
Summary: Accurate assessment of forest above-ground biomass is crucial for quantifying climate mitigation benefits. However, the current allometric models used for estimation are biased and result in substantial errors. Testing the underlying assumptions of these models and improving measurement methods are urgent priorities to address this issue.
ECOLOGICAL SOLUTIONS AND EVIDENCE
(2022)
Article
Geosciences, Multidisciplinary
Feng Yin, Philip E. Lewis, Jose L. Gomez-Dans
Summary: This work presents a Sensor Invariant Atmospheric Correction (SIAC) approach for mitigating atmospheric effects on medium resolution optical remote sensing data. By using a probabilistic framework, the method provides per-pixel uncertainty estimates for aerosol optical thickness (AOT), total column water vapour (TCWV), and surface reflectance. The experimental results demonstrate the effectiveness of SIAC in estimating AOT, TCWV, and surface reflectance accurately, and the method also provides viable uncertainty estimates.
GEOSCIENTIFIC MODEL DEVELOPMENT
(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)