Article
Remote Sensing
Linda Luck, Mirjam Kaestli, Lindsay B. Hutley, Kim Calders, Shaun R. Levick
Summary: Low-cost TLS data acquisition and efficient processing can be used for large-scale assessment of tree volume. A simple voxel model was used to calculate individual tree volume in a 1 ha plot in a tropical savanna woodland, and an allometric model based on aerial surveys explained 99% of variance in total tree volume. This study highlights the utility of lower-cost data acquisition and efficient processing for vegetation mapping and monitoring.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Plant Sciences
Daniel Kukenbrink, Oliver Gardi, Felix Morsdorf, Esther Thurig, Andreas Schellenberger, Lukas Mathys
Summary: This study demonstrates the potential of terrestrial laser scanning (TLS) techniques for extracting detailed information on urban tree structure and above-ground biomass (AGB). The study found that TLS-derived AGB estimates showed good performance compared to destructively harvested references, offering a non-destructive and accurate method for estimating tree AGB across different species, sizes, and forms.
Article
Agronomy
Aline Bornand, Nataliia Rehush, Felix Morsdorf, Esther Thurig, Meinrad Abegg
Summary: This study evaluates the correlation between individual tree volume estimation methods based on 3D reconstruction and existing models, and determines the relationship between geometric parameters obtained from laser scanning data and tree volume. The results show that geometric parameters can effectively estimate tree volume, especially for coniferous species. This is crucial for calibration and validation of biomass mapping products based on remote sensing data.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Environmental Sciences
Man Wang, Jungho Im, Yinghui Zhao, Zhen Zhen
Summary: This study explores the non-destructive estimation of individual tree aboveground biomass using unmanned aerial vehicle and terrestrial LiDAR data. The results show that the hierarchical Bayesian method and multi-platform LiDAR data provide a potential solution for accurate individual tree AGB modeling with small sample sizes.
Article
Plant Sciences
Jiayuan Lin, Decao Chen, Wenjian Wu, Xiaohan Liao
Summary: Urban forests play a crucial role in urban ecological environments. Utilizing UAV remote sensing technology and a new allometric equation, accurate estimation of tree aboveground biomass in urban forests is achievable.
URBAN FORESTRY & URBAN GREENING
(2022)
Review
Environmental Sciences
Tasiyiwa Priscilla Muumbe, Jussi Baade, Jenia Singh, Christiane Schmullius, Christian Thau
Summary: Savannas are diverse ecosystems with complex vegetation, conventional methods may underestimate carbon storage potential. TLS technology shows promise in accurate vegetation parameter extraction, future research should focus on algorithm development and improvement.
Article
Forestry
Fan Wang, Yuman Sun, Weiwei Jia, Wancai Zhu, Dandan Li, Xiaoyong Zhang, Yiren Tang, Haotian Guo
Summary: Forest biomass is crucial for assessing carbon cycling in forests, and improving biomass estimation accuracy is urgent. Terrestrial laser scanning (TLS) accurately captures the 3D structure of forests and provides valuable information on individual trees, making it a vital approach for accurate aboveground biomass (AGB) estimation. This study developed individual tree AGB estimation models based on TLS-derived parameters that are not available with traditional methods. Results showed that including height and crown parameters improved model estimation accuracy by 3.76% compared to a diameter-based model. The optimal model included variables such as diameter at breast height, minimum contact height, etc. TLS has great potential to enhance individual-tree AGB estimation accuracy, reduce field workload, and improve estimation efficiency, providing a novel approach for large-scale forest biomass estimation.
Article
Forestry
Steven Wagers, Guillermo Castilla, Michelle Filiatrault, G. Arturo Sanchez-Azofeifa
Summary: This study develops new models for estimating biomass of small black spruce trees in peatlands, utilizing TLS-measured variables that outperform commonly used DBH equations. These equations are based on predictors that can be measured from above, and may enable accurate biomass reference data creation in treed peatlands in North America.
Article
Environmental Sciences
Maria Menendez-Miguelez, Guillermo Madrigal, Hortensia Sixto, Nerea Oliveira, Rafael Calama
Summary: In this study, we proposed a methodology using terrestrial laser scanning (TLS) to develop biomass models for poplar plantations in high-density and short-rotation coppices (SRC). Our results showed that the TLS-derived models outperformed traditional models in accurately estimating biomass at both individual-stool and plot levels.
Article
Environmental Sciences
Rui Jiang, Jiayuan Lin, Tianxi Li
Summary: This study utilized TLS-acquired point cloud data to accurately estimate the aboveground biomass (AGB) of bamboo forests, showcasing the unique benefits of TLS in measuring structural parameters of Moso bamboos and accurately estimating their AGBs through the development of new segmentation methods and precise measurements of bamboo diameters and lengths.
Article
Forestry
Zoe Schindler, Thomas Seifert, Jonathan P. Sheppard, Christopher Morhart
Summary: This study provides a set of allometric models for wild cherry trees in agroforestry systems. Through terrestrial laser scanning and quantitative structure models, 70 trees in southwestern Germany were surveyed and analyzed. The derived biomass model, based on volume estimates converted to biomass, shows no significant differences to a previous study conducted on agroforestry trees under a different management regime in the same region.
ANNALS OF FOREST SCIENCE
(2023)
Article
Ecology
Jiayuan Lin, Decao Chen, Shuai Yang, Xiaohan Liao
Summary: Plantation forest is an important component of global forest resources, and accurately estimating tree aboveground biomass is crucial for evaluating carbon sequestration capacity. This study utilized UAV-borne LiDAR technology to scan a sample plot of DR trees and constructed a novel allometric model for estimating tree aboveground biomass.
FRONTIERS IN FORESTS AND GLOBAL CHANGE
(2023)
Article
Forestry
Ioan Dutca, Alexandra Cernat, Petru Tudor Stancioiu, Florin Ioras, Mihai Daniel Nita
Summary: The slope aspect significantly affects the tree shape and volume allometry of European beech trees, with trees on the north-facing slope being thinner, having longer branching systems, and larger volumes compared to those on the south-facing slope.
Article
Environmental Sciences
Sukant Chaudhry, David Salido-Monzu, Andreas Wieser
Summary: The study presents a simple model for predicting the resolution capability in a laser scanning point cloud, specifically focusing on the angular direction. It utilizes an elliptical Gaussian beam for quantification and verifies the approximation of RC while considering scanning resolution. The model is accessible and supports assessing the suitability of specific scanners or scanning parameters for different applications.
Article
Environmental Sciences
Bastien Vandendaele, Olivier Martin-Ducup, Richard A. Fournier, Gaetan Pelletier, Philippe Lejeune
Summary: The emergence of mobile laser scanning (MLS) systems that use simultaneous localization and mapping (SLAM) technology to map their environment opens up new opportunities for characterizing forest structure. This study assessed the potential of MLS data to estimate tree structural attributes in a temperate hardwood stand and found that SLAM-based MLS systems provided accurate estimates of various attributes when compared to TLS and destructive measurements.
Article
Ecology
Rens W. Vaessen, Patrick A. Jansen, Cecile Richard-Hansen, Rene G. A. Boot, Thomas Denis, Geraldine Derroire, Pascal Petronelli, Jesse S. de Vries, Kathryn E. Barry, Hans ter Steege, Marijke van Kuijk
Summary: The study shows that hunting impacts the functional composition of tropical rainforest tree recruits, with the loss of vertebrates causing changes in seed dispersal and browsing processes. These changes have significant implications for the long-term stability of forests.
Article
Plant Sciences
Iris Hordijk, Daniel S. Maynard, Simon P. Hart, Lidong Mo, Hans ter Steege, Jingjing Liang, Sergio de-Miguel, Gert-Jan Nabuurs, Peter B. Reich, Meinrad Abegg, C. Yves Adou Yao, Giorgio Alberti, Angelica M. Almeyda Zambrano, Braulio V. Alvarado, Alvarez-Davila Esteban, Patricia Alvarez-Loayza, Luciana F. Alves, Christian Ammer, Clara Anton-Fernandez, Alejandro Araujo-Murakami, Luzmila Arroyo, Valerio Avitabile, Gerardo A. Aymard C, Timothy Baker, Radomir Balazy, Olaf Banki, Jorcely Barroso, Meredith L. Bastian, Jean-Francois Bastin, Luca Birigazzi, Philippe Birnbaum, Robert Bitariho, Pascal Boeckx, Frans Bongers, Olivier Bouriaud, Pedro H. S. Brancalion, Susanne Brandl, Roel Brienen, Eben N. Broadbent, Helge Bruelheide, Filippo Bussotti, Roberto Cazzolla Gatti, Ricardo G. Cesar, Goran Cesljar, Robin Chazdon, Han Y. H. Chen, Chelsea Chisholm, Emil Cienciala, Connie J. Clark, David B. Clark, Gabriel Colletta, David Coomes, Fernando Cornejo Valverde, Jose J. Corral-Rivas, Philip Crim, Jonathan Cumming, Selvadurai Dayanandan, Andre L. de Gasper, Mathieu Decuyper, Geraldine Derroire, Ben DeVries, Ilija Djordjevic, Amaral Ieda, Aurelie Dourdain, Engone Obiang Nestor Laurier, Brian Enquist, Teresa Eyre, Adande Belarmain Fandohan, Tom M. Fayle, Leandro V. Ferreira, Ted R. Feldpausch, Leena Finer, Markus Fischer, Christine Fletcher, Lorenzo Frizzera, Javier G. P. Gamarra, Damiano Gianelle, Henry B. Glick, David Harris, Andrew Hector, Andrea Hemp, Geerten Hengeveld, Bruno Herault, John Herbohn, Annika Hillers, Euridice N. Honorio Coronado, Cang Hui, Hyunkook Cho, Thomas Ibanez, Il Bin Jung, Nobuo Imai, Andrzej M. Jagodzinski, Bogdan Jaroszewicz, Vivian Johanssen, Carlos A. Joly, Tommaso Jucker, Viktor Karminov, Kuswata Kartawinata, Elizabeth Kearsley, David Kenfack, Deborah Kennard, Sebastian Kepfer-Rojas, Gunnar Keppel, Mohammed Latif Khan, Timothy Killeen, Hyun Seok Kim, Kanehiro Kitayama, Michael Koehl, Henn Korjus, Florian Kraxner, Diana Laarmann, Mait Lang, Simon Lewis, Huicu Lu, Natalia Lukina, Brian Maitner, Yadvinder Malhi, Eric Marcon, Beatriz Schwantes Marimon, Ben Hur Marimon-Junior, Andrew Robert Marshall, Emanuel Martin, Olga Martynenko, Jorge A. Meave, Omar Melo-Cruz, Casimiro Mendoza, Cory Merow, Miscicki Stanislaw, Abel Monteagudo Mendoza, Vanessa Moreno, Sharif A. Mukul, Philip Mundhenk, Maria G. Nava-Miranda, David Neill, Victor Neldner, Radovan Nevenic, Michael Ngugi, Pascal A. Niklaus, Jacek Oleksyn, Petr Ontikov, Edgar Ortiz-Malavasi, Yude Pan, Alain Paquette, Alexander Parada-Gutierrez, Elena Parfenova, Minjee Park, Mar Parren, Narayanaswamy Parthasarathy, Pablo L. Peri, Sebastian Pfautsch, Oliver L. Phillips, Nicolas Picard, Maria Teresa Piedade, Daniel Piotto, Nigel C. A. Pitman, Irina Polo, Lourens Poorter, Axel Dalberg Poulsen, John R. Poulsen, Hans Pretzsch, Freddy Ramirez Arevalo, Zorayda Restrepo-Correa, Mirco Rodeghiero, Samir Rolim, Anand Roopsind, Francesco Rovero, Ervan Rutishauser, Purabi Saikia, Christian Salas-Eljatib, Peter Schall, Dmitry Schepaschenko, Michael Scherer-Lorenzen, Bernhard Schmid, Jochen Schongart, Eric B. Searle, Vladimir Seben, Josep M. Serra-Diaz, Douglas Sheil, Anatoly Shvidenko, Javier Silva-Espejo, Marcos Silveira, James Singh, Plini Sist, Ferry Slik, Bonaventure Sonke, Alexandre F. Souza, Krzysztof Sterenczak, Jens-Christian Svenning, Miroslav Svoboda, Ben Swanepoel, Natalia Targhetta, Nadja Tchebakova, Raquel Thomas, Elen Tikhonova, Peter Umunay, Vladimir Usoltsev, Renato Valencia, Fernando Valladares, Fons van Der Plas, Do Van Tran, Michael E. Van Nuland, Rodolfo Vasquez Martinez, Hans Verbeeck, Helder Viana, Alexander C. Vibrans, Simone Vieira, Klaus von Gadow, Hua-Feng Wang, James Watson, Gijsbert D. A. Werner, Susan K. Wiser, Florian Wittmann, Verginia Wortel, Roderick Zagt, Tomasz Zawila-Niedzwiecki, Chunyu Zhang, Xiuhai Zhao, Mo Zhou, Zhi-Xin Zhu, Irie Casimir Zo-Bi, Thomas W. Crowther
Summary: Biodiversity is important for ecosystems, with higher species richness often leading to increased productivity. However, the relationship between biodiversity and productivity varies across environments and is less pronounced at high levels of species richness. Community evenness can mediate this relationship, and our study shows that it is negatively correlated with species richness and plays a crucial role in the biodiversity-productivity relationship.
JOURNAL OF ECOLOGY
(2023)
Article
Environmental Sciences
Stefano Tebaldini, Mauro Mariotti d'Alessandro, Lars M. H. Ulander, Patrik Bennet, Anders Gustavsson, Alex Coccia, Karlus Macedo, Mathias Disney, Phil Wilkes, Hans -Joachim Spors, Nico Schumacher, Jan Hanus, Jan Novotny, Benjamin Brede, Harm Bartholomeus, Alvaro Lau, Jens van der Zee, Martin Herold, Dirk Schuettemeyer, Klaus Scipal
Summary: The TomoSense experiment, funded by the ESA, studied remote sensing of forested areas using SAR data, with a focus on using TomoSAR to study the vertical structure of vegetation. The experiment used a temperate forest in the Eifel National Park in Germany, with dominant species being beech and spruce trees. The dataset includes SAR data as well as lidar data for comparison and analysis.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Janneke Scheeres, Johan de Jong, Benjamin Brede, Pedro H. S. Brancalion, Eben Noth Broadbent, Angelica Maria Almeyda Zambrano, Eric Bastos Gorgens, Carlos Alberto Silva, Ruben Valbuena, Paulo Molin, Scott Stark, Ricardo Ribeiro Rodrigues, Ribeiro Rodrigues, Giulio Brossi Santoro, Catherine Torres de Almeida, Danilo Roberti Alves de Almeida
Summary: By using UAV-borne LiDAR, it is possible to distinguish different forest types in restoration landscapes in southeastern Brazil. Using a random forest classification model, the study successfully classified conservation and production forests with a high accuracy. However, classifying all six forest types proved to be more challenging due to their similarities in management, regeneration dynamics, and structure.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Gregoire Vincent, Philippe Verley, Benjamin Brede, Guillaume Delaitre, Eliott Maurent, James Ball, Ilona Clocher, Nicolas Barbier
Summary: Leaf area is a crucial feature of forest canopies, and Airborne Laser Scanning (ALS) can provide accurate estimates of plant area density. However, inconsistencies between ALS sensors hinder the generation of globally harmonised estimates. This study shows that differences in scanner characteristics lead to discrepancies in light attenuation estimates, emphasizing the need for intercalibration procedures.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Ecology
Na Chen, Nandin-Erdene Tsendbazar, Daniela Requena Suarez, Jan Verbesselt, Martin Herold
Summary: Characterization of regrowing forests is essential for understanding forest dynamics and supporting sustainable forest management. This study analyzed the effects of environmental and human factors on regrowing forests in Brazil. The results showed that the time since disturbance interpreted from satellite time series is the most important predictor for characterizing aboveground biomass and tree cover of regrowing forests.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2023)
Article
Ecology
Kim Calders, Benjamin Brede, Glenn Newnham, Darius Culvenor, John Armston, Harm Bartholomeus, Anne Griebel, Jodie Hayward, Samuli Junttila, Alvaro Lau, Shaun Levick, Rosalinda Morrone, Niall Origo, Marion Pfeifer, Jan Verbesselt, Martin Herold
Summary: Climate change and human activities are affecting ecosystems and biodiversity. Quantitative measurements of essential biodiversity variables and climate variables are used to monitor and evaluate interventions. Spaceborne measurements lack detailed information on three-dimensional vegetation structure at local scales, but ground-based laser scanning shows potential for systematic monitoring.
REMOTE SENSING IN ECOLOGY AND CONSERVATION
(2023)
Review
Multidisciplinary Sciences
Osamu Ochiai, Benjamin Poulter, Frank Martin Seifert, Stephen Ward, Ian Jarvis, Alyssa Whitcraft, Ritvik Sahajpal, Sven Gilliams, Martin Herold, Sarah Carter, Laura Innice Duncanson, Heather Kay, Richard Lucas, Sylvia N. Wilson, Joana Melo, Joanna Post, Stephen Briggs, Shaun Quegan, Mark Dowell, Alessandro Cescatti, David Crisp, Sassan Saatchi, Takeo Tadono, Matt Steventon, Ake Rosenqvist
Summary: Space-based remote sensing can play a crucial role in monitoring greenhouse gas emissions and removals from AFOLU sector and addressing climate change through the UNFCCC Paris Agreement. International cooperation, led by CEOS, is essential for the development and realization of a long-term roadmap for observations. This paper identifies useful data and information for supporting the global stocktake of the Paris Agreement and provides a workflow for harmonization and contribution to greenhouse gas inventories and assessments.
Article
Ecology
Eliott Maurent, Bruno Herault, Camille Piponiot, Geraldine Derroire, Diego Delgado, Bryan Finegan, Melaine Aubry Kientz, Bienvenu H. K. Amani, Marie Ange Ngo Bieng
Summary: Despite the high biodiversity and carbon stocks, tropical forests are heavily disturbed. This study presents a novel modeling framework to examine the recovery of vegetation attributes in differently disturbed forests. Selective logging shows the highest recovery rate in above-ground biomass and diversity, while the intensity of disturbance has a significant effect on taxonomic composition recovery.
ECOLOGICAL MODELLING
(2023)
Article
Ecology
Sylvain Schmitt, Bruno Herault, Geraldine Derroire
Summary: Tree growth is crucial for species performance, but individual growth variability within a community and the influence of species evolutionary legacy and local environments are not well understood. This study used 36 years of diameter records for 7961 trees from 138 species in the Amazonian forest to assess individual growth. The researchers found that most growth variation occurred among individuals within species, with taxonomy explaining a third of the variation. Species growth was phylogenetically conserved up to the genus level and was predicted by root, wood, and leaf traits. Neighbourhood crowding reduced individual growth, but a significant amount of inter-individual variation remained unexplained, potentially allowing individuals to adapt to the diverse environments of the Amazonian forest.
Article
Multidisciplinary Sciences
Akane O. Abbasi, Xiaolu Tang, Nancy L. Harris, Elizabeth D. Goldman, Javier G. P. Gamarra, Martin Herold, Hyun Seok Kim, Weixue Luo, Carlos Alberto Silva, Nadezhda M. Tchebakova, Ankita Mitra, Yelena Finegold, Mohammad Reza Jahanshahi, Cesar Ivan Alvarez, Tae Kyung Kim, Daun Ryu, Jingjing Liang
Summary: Planted forests in East Asia, which account for approximately 36% of global planted forest area, play a critical role in climate change mitigation and timber/non-timber production. However, there is limited information available on the geographic distribution and tree species composition of these planted forests. This study presents the first spatial database of planted forests in East Asia, based on extensive data collection and modeling. The maps generated in this study provide valuable information for understanding the role of planted forests in climate change mitigation and guiding forest conservation and management decisions.
Article
Remote Sensing
Linda Luck, Mirjam Kaestli, Lindsay B. Hutley, Kim Calders, Shaun R. Levick
Summary: Low-cost TLS data acquisition and efficient processing can be used for large-scale assessment of tree volume. A simple voxel model was used to calculate individual tree volume in a 1 ha plot in a tropical savanna woodland, and an allometric model based on aerial surveys explained 99% of variance in total tree volume. This study highlights the utility of lower-cost data acquisition and efficient processing for vegetation mapping and monitoring.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
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)