Article
Environmental Sciences
Christina Cappello, Arun Kumar Pratihast, Alonso Perez Ojeda del Arco, Johannes Reiche, Veronique De Sy, Martin Herold, Rolando Eduardo Vivanco Vicencio, Daniel Castillo Soto
Summary: Community-based monitoring is a sustainable approach to establishing a forest monitoring system. The National Forest Conservation Program in Peru has made significant contributions to the REDD+ scheme, providing rich information on forest change. However, challenges such as data delays, community participation, and standardization exist. The use of mobile devices improves monitoring efficiency, and expanding training and equipment would further enhance the system.
Review
Environmental Sciences
George C. Hurtt, Arlyn Andrews, Kevin Bowman, Molly E. Brown, Abhishek Chatterjee, Vanessa Escobar, Lola Fatoyinbo, Peter Griffith, Maddie Guy, Sean P. Healey, Daniel J. Jacob, Robert Kennedy, Steven Lohrenz, Megan E. McGroddy, Valeria Morales, Thomas Nehrkorn, Lesley Ott, Sassan Saatchi, Edil Sepulveda Carlo, Shawn P. Serbin, Hanqin Tian
Summary: By synthesizing the activities of the NASA Carbon Monitoring System from 2011 to 2019, this review assesses the current achievements and future directions of the project, and identifies key priorities and next steps for future work.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Review
Environmental Sciences
Hugo E. Lazcano-Hernandez, Javier Arellano-Verdejo, Rosa E. Rodriguez-Martinez
Summary: Massive arrivals of pelagic Sargassum to the coasts of several countries in the Atlantic Ocean began in 2011. Monitoring the abundance and distribution of Sargassum in the ocean and along the coasts is necessary to understand the phenomena better and develop forecasting products and management protocols.
FRONTIERS IN MARINE SCIENCE
(2023)
Article
Environmental Sciences
Helen Blue Parache, Timothy Mayer, Kelsey E. Herndon, Africa Ixmucane Flores-Anderson, Yang Lei, Quyen Nguyen, Thannarot Kunlamai, Robert Griffin
Summary: A study using ALOS PALSAR satellite data for forest height estimation showed comparable results to previous research. Despite limitations in data quality and quantity, the use case in Savannakhet, Lao demonstrated the applicability of these techniques for estimating FSH in tropical forests.
Article
Environmental Sciences
Ellen Crocker, Kumari Gurung, Jared Calvert, C. Dana Nelson, Jian Yang
Summary: Oak decline refers to the gradual dieback and mortality of oak trees caused by various accumulating stress factors. In this study, a risk map of oak decline was developed for the Daniel Boone National Forest (DBNF) by combining GIS, remote sensing (RS), and citizen science (CS). Ground reports (CS) and four predisposing factors (elevation, slope, solar radiation, and topographic wetness) were used to create a site-scale model (GIS and RS) for oak decline, which was then optimized and expanded to the entire DBNF based on stand inventory data. The integration of GIS, remote sensing, and citizen science proved to be useful for planning and risk assessment.
Article
Environmental Sciences
Lev D. Labzovskii, Joshua Vande Hey, Aleksey A. Romanov, Polina Golovatina-Mora, Dmitriy Belikov, Azam Lashkari, Samuel Takele Kenea, Erik Hekman
Summary: Researchers warn that the popularity of low-cost commercial sensors for monitoring air quality can lead to a shift in the paradigm of who measures air quality in cities. This study showcases a practical example of this paradigm shift in Krasnoyarsk, Russia, where severe problems with urban air quality triggered the decentralization of air quality monitoring. Both governmental and activist networks are now used for scientific and advisory purposes. This decentralization can potentially lead to a synergy between government and citizen action, tackling air pollution with combined resources and strategies.
ENVIRONMENTAL SCIENCE & POLICY
(2023)
Article
Environmental Sciences
Mariana Cardoso-Andrade, Frederico Cruz-Jesus, Jesus Souza Troncoso, Henrique Queiroga, Jorge M. S. Gonsalves
Summary: Environmental and nature conservation authorities are calling for a collective effort to break or reduce the current cycle of environmental degradation, with a set of guidelines provided to achieve citizen engagement and retention in CS coastal environment monitoring projects.
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
(2022)
Article
Environmental Sciences
Sarina Little, Tamlin M. Pavelsky, Faisal Hossain, Sheikh Ghafoor, Grant M. Parkins, Sarah K. Yelton, Megan Rodgers, Xiao Yang, Jean-Francois Cretaux, Catherine Hein, Mohammad Arman Ullah, Debolina Halder Lina, Hanne Thiede, Darren Kelly, Donald Wilson, Simon N. Topp
Summary: This study examines water storage variations in small lakes in four states in the USA, using lake level measurements gathered by citizen scientists and lake surface area measurements from optical satellite imagery. The results show that water storage variations between lake pairs are moderately positively correlated on average, with a substantial spread in the degree of correlation. The distance between lake pairs and the extent to which their volume changes are correlated exhibit a weak but statistically significant negative relationship.
Article
Environmental Sciences
Karimon Nesha, Martin Herold, Veronique De Sy, Amy E. Duchelle, Christopher Martius, Anne Branthomme, Monica Garzuglia, Orjan Jonsson, Anssi Pekkarinen
Summary: This study evaluates the use and quality of forest monitoring data sources for national reporting to the FAO Global Forest Resources Assessment (FRA) in 236 countries and territories, finding improvements in global capacities for monitoring forest area through remote sensing and national forest inventory. The study also highlights greater capacity improvements in the tropics in the period assessed.
ENVIRONMENTAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Solmaz Fathololoumi, Mohammad Karimi Firozjaei, Huijie Li, Asim Biswas
Summary: This study aims to improve the accuracy of land cover/land use classification by fusing different surface biophysical features and combining land cover maps from different scenarios. The results demonstrate that the fusion-based method significantly increases the overall accuracy of land cover/land use classification.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Oceanography
Phillipe Wernette, Ian M. Miller, Andrew W. Ritchie, Jonathan A. Warrick
Summary: This paper presents a SfM approach for monitoring environmental change in high relief coastal environments using crowd-sourced photos. The study demonstrates the efficacy of different alignment methods and suggests best practices for engaging citizen scientists in coastal cliff and bluff monitoring efforts.
CONTINENTAL SHELF RESEARCH
(2022)
Article
Biotechnology & Applied Microbiology
Martin Holub, Ethan Agena
Summary: A biofoundry is an automated facility for processing biological samples, playing a significant role in accelerating innovation and product development in engineering biology. It brings public and private stakeholders together to share resources, develop standards, and foster collaborations on national and international levels. This paper argues for expanding the role of biofoundries in biosurveillance and biosecurity, providing an overview of these potential applications and identifying roadblocks to their realization.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2023)
Article
Environmental Sciences
Shengwei Liu, Dailiang Peng, Bing Zhang, Zhengchao Chen, Le Yu, Junjie Chen, Yuhao Pan, Shijun Zheng, Jinkang Hu, Zihang Lou, Yue Chen, Songlin Yang
Summary: This study explored the accuracy of winter wheat identification at different growth stages using remote sensing data. The jointing-heading period was found to be the best for identification. Random forest classification and deep learning classification methods were used to establish models and achieve high accuracy. The results were validated using municipal statistical data.
Review
Forestry
Tiziana Panzavolta, Matteo Bracalini, Alessandra Benigno, Salvatore Moricca
Summary: Forest health is greatly impacted by invasive alien pathogens and pests, driven primarily by human activities like global trade. Early detection, prevention, and control measures are critical in combating the spread of these invasions, with the government playing a key role in endorsing necessary actions.
Article
Ecology
Ofer Arazy, Dan Malkinson
Summary: Citizen science is commonly used for biodiversity monitoring, but unstructured monitoring methods may lead to observer biases, affecting conclusions about species' spatio-temporal distribution trends. This study aims to understand observer biases in citizen science, developing a conceptual framework and utilizing a targeted questionnaire to address the issue.
FRONTIERS IN ECOLOGY AND EVOLUTION
(2021)
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
Anne-Juul Welsink, Johannes Reiche, Veronique de Sy, Sarah Carter, Bart Slagter, Daniela Requena Suarez, Ben Batros, Marielos Pena-Claros, Martin Herold
Summary: Illegal logging is a major cause of tropical forest loss. Satellite-based alert systems can accurately estimate tree cover loss in logging concessions using 10 m scale satellite data, but reliability is lower in areas with few disturbances. There is a trade-off between aggregation level and accuracy in estimating logging volumes, which presents a challenge for remote verification of logging activities.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Biodiversity Conservation
Daniela Requena Suarez, Danae M. A. Rozendaal, Veronique De Sy, Mathieu Decuyper, Natalia Malaga, Patricia Duran Montesinos, Alexs Arana Olivos, Ricardo De la Cruz Paiva, Christopher Martius, Martin Herold
Summary: Amazonian forests play a vital role as reservoirs of biomass and biodiversity, contributing to climate change mitigation. This study examines the impact of disturbances on forest biomass and biodiversity in the Peruvian Amazon, using tree-level data and remotely sensed monitoring. The results show that disturbance intensity negatively affects tree species richness and biomass recovery. Surprisingly, time since disturbance has a small negative effect on species richness. Approximately 15% of Peruvian Amazonian forests have experienced disturbance since 1984, with an increase in biomass of 4.7 Mg ha(-1) year(-1) during the first 20 years.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Environmental Sciences
Stephanie Delalieux, Tom Hardy, Michel Ferry, Susi Gomez, Lammert Kooistra, Maria Culman, Laurent Tits
Summary: This study evaluates the potential of a remote sensing approach for the timely and reliable detection of Red Palm Weevil (RPW) infestation on palm canopies. The study found that thermal data can detect RPW infestation before visible canopy symptoms appear, and spectral vegetation index monitoring can detect infested palms before canopy symptoms are visible.
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
Robotics
Gonzalo Mier, Joao Valente, Sytze de Bruin
Summary: This letter introduces Fields2Cover, an open-source library for coverage path planning (CPP) for agricultural vehicles. The library provides a framework for planning coverage paths, developing new techniques, and benchmarking state-of-the-art algorithms. It features a modular and extensible architecture and supports various vehicles and applications. The functionalities of the library are demonstrated using 8 state-of-the-art methods and 7 objective functions in simulation and field experiments.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Agronomy
David Brown, Sytze de Bruin, Kaue de Sousa, Catherine Abadie, Sebastien Carpentier, Lewis Machida, Jacob van Etten
Summary: Rank-based data synthesis was used to assess the effect of climatic factors on the reaction of different Musa genotypes to black leaf streak disease. Differences in genotypic response were found between humid and dry environments. The information generated by the data synthesis supports further evaluation of Musa genotypes at new locations.
Review
Remote Sensing
Zhen Cao, Lammert Kooistra, Wensheng Wang, Leifeng Guo, Joao Valente
Summary: This paper systematically reviews previous studies on UAV real-time object detection, including application scenarios, hardware selection, real-time detection paradigms, detection algorithms and their optimization technologies, and evaluation metrics. The research findings reveal that real-time object detection is more in demand in scenarios such as emergency rescue and precision agriculture. Multi-rotor UAVs and RGB images are of more interest in applications, and real-time detection mainly uses edge computing and deep learning algorithms. Optimization algorithms need to be focused on resource-limited computing platform deployment. In addition to accuracy, speed, latency, and energy are equally important evaluation metrics. Future developments in autonomous UAVs and communications may have a prospective impact on UAV real-time target detection.
Article
Remote Sensing
Arnan Araza, Martin Herold, Sytze de Bruin, Philippe Ciais, David A. Gibbs, Nancy Harris, Maurizio Santoro, Jean-Pierre Wigneron, Hui Yang, Natalia Malaga, Karimon Nesha, Pedro Rodriguez-Veiga, Olga Brovkina, Hugh C. A. Brown, Milen Chanev, Zlatomir Dimitrov, Lachezar Filchev, Jonas Fridman, Mariano Garcia, Alexander Gikov, Leen Govaere, Petar Dimitrov, Fardin Moradi, Adriane Esquivel Muelbert, Jan Novotny, Thomas A. M. Pugh, Mart-Jan Schelhaas, Dmitry Schepaschenko, Krzysztof Sterenczak, Lars Hein
Summary: This study assessed the net Delta AGB derived from four global multi-date AGB maps over the past decade. The comparison between LiDAR data and maps showed reasonable agreement, while the comparisons using NFI only had some agreements at smaller aggregation levels. Disagreement between maps is still large in key forest regions. The results suggest that the AGB assessed from current maps can be biased and any use of the estimates should consider this.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Engineering, Electrical & Electronic
Mitchell Thomas, Elizabeth Tellman, Daniel E. Osgood, Ben DeVries, Akm Saiful Islam, Michael S. Steckler, Maxwell Goodman, Maruf Billah
Summary: In this study, we aim to strengthen the use of satellite data for flood index insurance by proposing a set of criteria for assessing algorithm performance and providing a framework for remote sensing application validation in data-poor environments. The results show that the adapted Sentinel-1 algorithm significantly outperforms previous algorithms on the validation criteria. The proposed validation criteria can be used to develop and validate better remote sensing products for index insurance and other flood applications in places with inadequate ground truth data.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Environmental Sciences
Adugna Mullissa, Johannes Reiche, Martin Herold
Summary: The paper proposes a rapid forest disturbance detection approach for tropical dry forests using Sentinel-1 SAR and deep learning. The method shows effectiveness in detecting disturbances in near real-time, outperforming traditional methods based on Landsat data in terms of timeliness. The proposed approach has potential for operational use in generating large area disturbance alerts in the dry tropics.
REMOTE SENSING OF ENVIRONMENT
(2023)
Correction
Multidisciplinary Sciences
Camille S. Delavaux, Thomas W. Crowther, Constantin M. Zohner, Niamh M. Robmann, Thomas Lauber, Johan van den Hoogen, Sara Kuebbing, Jingjing Liang, Sergio de-Miguel, Gert-Jan Nabuurs, Peter B. Reich, Meinrad Abegg, Yves C. Adou Yao, Giorgio Alberti, Angelica M. Almeyda Zambrano, Braulio Vilchez Alvarado, Esteban Alvarez-Davila, Patricia Alvarez-Loayza, Luciana F. Alves, Christian Ammer, Clara Anton-Fernandez, Alejandro Araujo-Murakami, Luzmila Arroyo, Valerio Avitabile, Gerardo A. Aymard, Timothy R. Baker, Radomir Balazy, Olaf Banki, Jorcely G. 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, Hyunkook Cho, Emil Cienciala, Connie Clark, David Clark, Gabriel D. Colletta, David A. Coomes, Fernando Cornejo Valverde, Jose J. Corral-Rivas, Philip M. Crim, Jonathan R. Cumming, Selvadurai Dayanandan, Andre L. de Gasper, Mathieu Decuyper, Geraldine Derroire, Ben DeVries, Ilija Djordjevic, Jiri Dolezal, Aurelie Dourdain, Nestor Laurier Engone Obiang, Brian J. Enquist, Teresa J. Eyre, Adande Belarmain Fandohan, Tom M. Fayle, Ted R. Feldpausch, Leandro V. Ferreira, Markus Fischer, Christine Fletcher, Lorenzo Frizzera, Javier G. P. Gamarra, Damiano Gianelle, Henry B. Glick, David J. Harris, Andrew Hector, Andreas Hemp, Geerten Hengeveld, Bruno Herault, John L. Herbohn, Martin Herold, Annika Hillers, Euridice N. Honorio Coronado, Cang Hui, Thomas T. Ibanez, Ieda Amaral, Nobuo Imai, Andrzej M. Jagodzinski, Bogdan Jaroszewicz, Vivian Kvist Johannsen, Carlos A. Joly, Tommaso Jucker, Ilbin Jung, Viktor Karminov, Kuswata Kartawinata, Elizabeth Kearsley, David Kenfack, Deborah K. Kennard, Sebastian Kepfer-Rojas, Gunnar Keppel, Mohammed Latif Khan, Timothy J. Killeen, Hyun Seok Kim, Kanehiro Kitayama, Michael Kohl, Henn Korjus, Florian Kraxner, Diana Laarmann, Mait Lang, Simon L. Lewis, Huicui Lu, Natalia V. Lukina, Brian S. Maitner, Yadvinder Malhi, Eric Marcon, Beatriz Schwantes Marimon, Ben Hur Marimon-Junior, Andrew R. Marshall, Emanuel H. Martin, Olga Martynenko, Jorge A. Meave, Omar Melo-Cruz, Casimiro Mendoza, Cory Merow, Abel Monteagudo Mendoza, Vanessa S. Moreno, Sharif A. Mukul, Philip Mundhenk, Maria Guadalupe Nava-Miranda, David Neill, Victor J. Neldner, Radovan V. Nevenic, Michael R. Ngugi, Pascal A. Niklaus, Jacek Oleksyn, Petr Ontikov, Edgar Ortiz-Malavasi, Yude Pan, Alain Paquette, Alexander Parada-Gutierrez, Elena I. Parfenova, Minjee Park, Marc Parren, Narayanaswamy Parthasarathy, Pablo L. Peri, Sebastian Pfautsch, Oliver L. Phillips, Nicolas Picard, Maria Teresa T. F. Piedade, Daniel Piotto, Nigel C. A. Pitman, Irina Polo, Lourens Poorter, Axel D. Poulsen, Hans Pretzsch, Freddy Ramirez Arevalo, Zorayda Restrepo-Correa, Mirco Rodeghiero, Samir G. Rolim, Anand Roopsind, Francesco Rovero, Ervan Rutishauser, Purabi Saikia, Christian Salas-Eljatib, Philippe Saner, Peter Schall, Dmitry Schepaschenko, Michael Scherer-Lorenzen, Bernhard Schmid, Jochen Schongart, Eric B. Searle, Vladimir Seben, Josep M. Serra-Diaz, Douglas Sheil, Anatoly Z. Shvidenko, Javier E. Silva-Espejo, Marcos Silveira, James Singh, Plinio Sist, Ferry Slik, Bonaventure Sonke, Alexandre F. Souza, Stanislaw Miscicki, Krzysztof J. Sterenczak, Jens-Christian Svenning, Miroslav Svoboda, Ben Swanepoel, Natalia Targhetta, Nadja Tchebakova, Hans ter Steege, Raquel Thomas, Elena Tikhonova, Peter M. Umunay, Vladimir A. Usoltsev, Renato Valencia, Fernando Valladares, Fons van der Plas, Tran Van Do, Michael E. van Nuland, Rodolfo M. Vasquez, Hans Verbeeck, Helder Viana, Alexander C. Vibrans, Simone Vieira, Klaus von Gadow, Hua-Feng Wang, James V. Watson, Gijsbert D. A. Werner, Susan K. Wiser, Florian Wittmann, Hannsjoerg Woell, Verginia Wortel, Roderik Zagt, Tomasz Zawila-Niedzwiecki, Chunyu Zhang, Xiuhai Zhao, Mo Zhou, Zhi-Xin Zhu, Irie C. Zo-Bi, Daniel S. Maynard
Article
Remote Sensing
Johannes Balling, Martin Herold, Johannes Reiche
Summary: Accurate information about tropical forest disturbances is crucial for forest management and law enforcement. Monitoring forest disturbances using cloud-penetrating SAR imagery has shown effective results. However, current methods based on backscatter values may cause omission errors. This research proposes a method to quantify the heterogeneity of neighboring pixel values using textural features, in order to overcome omission errors caused by post-disturbance tree remnants or debris. The combination of SAR-based textural features and backscatter improves the consistency and timeliness of forest disturbance monitoring.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
