Article
Agronomy
Decheng Zhou, Liangxia Zhang, Lu Hao, Ge Sun, Jingfeng Xiao, Xing Li
Summary: Mountain ecosystems provide multiple ecosystem services and are natural laboratories to understand ecosystem responses to global change. Remote sensing indices are the major and sometimes the only measures to monitor the vegetation growth dynamics in mountains. However, there are large discrepancies in those indices that should be quantified in mountainous regions.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Green & Sustainable Science & Technology
Nikola Cvetkovic, Aleksandar Dokovic, Milan Dobrota, Milan Radojicic
Summary: This study describes a methodology for detecting corn stress using RGB imagery and vegetation indices. The results showed high accuracy in detecting corn stress, confirming that this method can be used in various setups and is not dependent on specific sensors or vegetation indices.
Article
Agriculture, Multidisciplinary
Felipe Cardoso de Oliveira Maia, Vinicius Bof Bufon, Tairone Paiva Leao
Summary: In the Brazilian Cerrado biome, classifying sugarcane management zones (MZs) using remote sensing and vegetation indices is an effective and efficient alternative to conventional soil sampling.
PRECISION AGRICULTURE
(2023)
Article
Remote Sensing
Moshe Mandelmilch, Ido Livne, Eyal Ben-Dor, Efrat Sheffer
Summary: This study demonstrated the use of remote-sensing data to predict and map phosphorus concentration in leaves of different woody Mediterranean plant species. Accurate models were built using spectral measurements, contributing to a better understanding of phosphorus concentration in the foliage of these plant species for forest ecologists.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Agriculture, Multidisciplinary
Brayden W. Burns, V. Steven Green, Ahmed A. Hashem, Joseph H. Massey, Aaron M. Shew, M. Arlene A. Adviento-Borbe, Mohamed Milad
Summary: This study aims to determine the precise nitrogen fertilizer requirement for maize by using remote sensing technology to detect nitrogen deficiency and predict grain yield. The results show that specific vegetation indices can effectively detect nitrogen deficiency and predict maize yield.
PRECISION AGRICULTURE
(2022)
Article
Biodiversity Conservation
Luka Rumora, Ivan Majic, Mario Miler, Damir Medak
Summary: This study examines the use of a modified GoPro camera mounted on a car for urban vegetation monitoring, testing the performance of four vegetation indices and finding that GBNDVI performs best with an average classification accuracy of 95.10% for all study sites.
Article
Remote Sensing
Eylul Malkoc, Marius Ruetschi, Christian Ginzler, Lars T. Waser
Summary: The study aims to fill the spatial information gap of Trees Outside Forests (TOF) resources at the national scale through an automated mapping approach based on the UNFAO-FRA definitions. Results show varying accuracy across different regions in Switzerland, with the application of biophysical thresholds influencing error types. The final TOF map produced by the approach covers the entire country, surpasses existing information, and meets management and reporting needs while allowing for biomass, carbon sequestration potential, and species distribution derivation.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Xiaoping Wang, Jingming Shi, Chenfeng Wang, Chao Gao, Fei Zhang
Summary: This study uses remote sensing inversion and mapping techniques to estimate forest stand age, taking into account the remote sensing mechanism of vegetation indices and the physiological function and canopy structure of the forest. Multiple linear regression and random forest models are used for the estimation, and the accuracy of the models is evaluated. The results show that the reflectance of the canopy decreases with the increase of forest stand age, and the relationship between forest stand age and red edge is the most significant. The random forest model has a higher accuracy in estimating forest stand age.
Review
Plant Sciences
Karina Angelica Garcia-Pardo, David Moreno-Rangel, Samuel Dominguez-Amarillo, Jose Roberto Garcia-Chavez
Summary: The study and assessment of ecosystem services through remote sensing has increased substantially in the past two decades. Technological advancements in satellite imagery have improved the observation, classification, and monitoring of vegetation on Earth's surface. However, there are methodological challenges in evaluating ecosystem services in complex environments such as cities.
URBAN FORESTRY & URBAN GREENING
(2022)
Article
Environmental Sciences
Koffi Dodji Noumonvi, Gal Oblisar, Ana Zust, Ursa Vilhar
Summary: Phenological events are sensitive indicators of climate change, and remote sensing has been used to model phenology in pure forests, but faces challenges in mixed forests. This study shows that using the seasonal midpoint method with MODIS GPP can estimate the start and end of the season in mixed forests with moderate errors.
Article
Environmental Sciences
Huipeng Ma, Tianxiang Cui, Lin Cao
Summary: Greenhouse gas emissions have altered the global climate, resulting in increased drought frequency and extent. Forests are crucial resources for ecological security. Monitoring drought stress in forests is essential for sustainable forestry development.
Article
Environmental Sciences
Robbe Neyns, Frank Canters
Summary: Green space plays a crucial role in urban environments, and the management and planning of urban vegetation is important for maximizing its benefits. This review article provides an overview of approaches to map urban vegetation using high-resolution remote sensing data. It identifies the use of deep learning and the fusion of different remote sensing data as promising techniques to improve mapping accuracy. However, there are research gaps in mapping non-tree and understory species, as well as in mapping private green spaces. The use of high spatial and temporal resolution imagery for species-level mapping in urban contexts is still limited. Time-series analysis and the use of new data sources hold great promise for advancing the field.
Article
Multidisciplinary Sciences
Bregje K. van Wesenbeeck, Guido Wolters, Jose A. A. Antolinez, Sudarshini A. Kalloe, Bas Hofland, Wiebe P. de Boer, Ceylan Cete, Tjeerd J. Bouma
Summary: Communities worldwide face increasing flood risk, but nature-based solutions like mangroves and riparian forests offer great potential for reducing these risks. Large-scale experiments have shown that trees can attenuate waves and reduce storm damages, even under extreme conditions. However, the application of forests in flood mitigation strategies is currently limited, and further research is needed.
SCIENTIFIC REPORTS
(2022)
Article
Environmental Sciences
Andrey Sirin, Maria Medvedeva
Summary: Peat fires differ from other wildfires in various aspects and are difficult to detect. This study successfully identified peat fires in the Moscow region using satellite data and provided accurate information about the burnt areas.
Article
Environmental Sciences
Bing Lu, Yuhong He
Summary: Chlorophyll is a crucial vegetation pigment influencing plant photosynthesis rate. Remote sensing images are used for mapping vegetation chlorophyll content in diverse ecosystems. Species composition impacts prediction accuracy of chlorophyll estimation. Species-specific models outperform universal models in mapping chlorophyll content.
Article
Environmental Sciences
Francisco J. Escobedo, Marius Bottin, Nicola Clerici, Salamanca Guibor Camargo, Alejandro Feged-Rivadeneira
Summary: Little is known about the influence of spatial literacy on mapping and decision-making in environmental management and ecosystem services. In our study, we assessed the role of spatial landscape literacy in participatory environmental management and found that it was significantly related to opinions on the environment. Education level had little impact on spatial landscape literacy.
ENVIRONMENTAL MANAGEMENT
(2022)
Article
Urology & Nephrology
Mayra I. Lucas, Parris Diaz, Francisco J. Escobedo, Bree'ava J. Limbrick, Kymora B. Scotland
Summary: This study investigated the online information accessed by patients seeking guidance on surgical treatments for benign prostatic hyperplasia (BPH). The findings showed that the quality of the accessed articles was suboptimal, and the readability was higher than the average adult patient's level. Additionally, the study revealed a growing interest in minimally invasive surgical therapies, particularly in Urolift.
JOURNAL OF ENDOUROLOGY
(2022)
Article
Plant Sciences
Tahia Devisscher, Camilo Ordonez-Barona, Cynnamon Dobbs, Mariana Dias Baptista, Nuria Monica Navarro, Luis Alberto Orozco Aguilar, Jose Felix Cercas Perez, Yolanny Rojas Mancebo, Francisco Javier Escobedo
Summary: This study examines the views of stakeholders in Latin America and Caribbean on urban forests and their management and governance. The findings show that stakeholders have different perspectives on public participation and operational issues. The study also highlights the demand for educational opportunities in the region, such as arboricultural certification.
URBAN FORESTRY & URBAN GREENING
(2022)
Article
Environmental Sciences
Zhen Guan, Amr Abd-Elrahman, Vance Whitaker, Shinsuke Agehara, Benjamin Wilkinson, Jean-Philippe Gastellu-Etchegorry, Bon Dewitt
Summary: This study developed and validated a methodology to simulate strawberry plant canopies using image-based and manual field measurements. The simulated canopies were compared with actual plant images and used to predict biophysical parameters. The results showed that both geometric and spectral variables were successful in modeling the in-situ biomass and leaf area, but combining them only slightly improved the predictive model.
Editorial Material
Urban Studies
Alessio Russo, Francisco J. Escobedo
Summary: In recent years, the integration of landscape architecture and urban forestry has become important in addressing pressing environmental, social, and economic issues in cities. New approaches and concepts in urban forestry have emerged for sustainable city planning, but research on these topics is still limited. This thematic issue provides new insight for policymakers and practitioners, contributing to the emerging literature on edible and forest cities. The findings can also contribute towards achieving the Sustainable Development Goals, although further studies are needed in developing countries and the Global South.
Article
Environmental Sciences
Alejandro Feged-Rivadeneira, Federico Andrade-Rivas, Felipe Gonzalez-Casabianca, Francisco J. Escobedo
Summary: There is a scale relationship between urbanization and disease transmission in Colombia, with contrary findings to previous epidemiological studies, as malaria shows higher infection intensity in smaller human settlements and specific ethnic groups.
GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
(2022)
Article
Multidisciplinary Sciences
Alyssa S. Thomas, Francisco J. Escobedo, Matthew R. Sloggy, Jose J. Sanchez
Summary: Larger and more severe wildfires are increasingly occurring and impacting communities. While existing literature focuses on burned ecosystems and destroyed structures, less attention is paid to the growing socioeconomic impacts faced by different communities. This study reviews the socio-demographic dimensions of wildfire literature using an environmental justice lens, highlighting the need to consider peri-urban areas, newer socio-demographic groups, and disadvantaged communities. The research reveals a lack of focus on secondary impacts and provides a wildfire-relevant definition of environmental justice to guide policy formulation.
Article
Environmental Sciences
Ali Gonzalez-Perez, Amr Abd-Elrahman, Benjamin Wilkinson, Daniel J. Johnson, Raymond R. Carthy
Summary: The recent developments in deep learning architectures provide accurate opportunities for classifying high-resolution unoccupied aerial system (UAS) images. The study found that the U-Net and DeepLabV3 deep learning techniques outperformed traditional machine learning algorithms SVM and RF in classifying coastal land cover types. The addition of CHM slightly increased the overall accuracy of deep learning models and notably improved the results of SVM and RF. The study also highlighted the advantage of using deep learning networks in highly diverse coastal landscapes and found that low-cost three-visible-band imagery produces comparable results to multispectral imagery.
Article
Environmental Sciences
Carter Kelly, Benjamin Wilkinson, Amr Abd-Elrahman, Orlando Cordero, H. Andrew Lassiter
Summary: Identifying and mitigating measurement error is crucial in geomatics research and the geospatial industry. An accuracy assessment of low-cost lidar scanners revealed a range bias caused by temporally correlated instability. This research analyzes the temporal stability of two scanners and implements methods to reduce systematic error. By exploiting the correlation between scanner temperature and distance measurements, the proposed solution significantly improves the accuracy of the scanner.
Article
Environmental Sciences
Giselle Toro, Maria Paula Otero, Nicola Clerici, Zoltan Szantoi, Andres Gonzalez-Gonzalez, Francisco J. Escobedo
Summary: This study explores how local-scale socio-ecological drivers affect carbon dynamics in a region in Colombia characterized by deforestation, land use changes, and armed conflict. The study found that livestock ranching, illegal crop cultivation, and rural population were significant drivers of deforestation and carbon storage changes. The findings can inform local and regional planning for forest conservation and ecosystem service policies in Neotropical forests.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2022)
Article
Construction & Building Technology
Francisco J. Escobedo, Cynnamon Dobbs, Yuli Tovar, Paloma Carin
Summary: The study investigated the spatial dynamics of tree allergenicity and its role as a negative effect in tropical urban ecosystems in Bogota, Colombia. It was found that tree species with high allergenic potential value were mainly present in the lowest socioeconomic strata and were concentrated in specific sectors of the city. Additionally, vulnerable neighborhoods lacking tree cover were identified, indicating a lack of both allergy-related ecosystem disservices and overall ecosystem services.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Geosciences, Multidisciplinary
Kamini Yadav, Francisco J. Escobedo, Alyssa S. Thomas, Nels G. Johnson
Summary: This study analyzes the impact of wildfires on different communities in California from 2010 to 2020. The findings show that higher income individuals, Whites, and renters were significantly and increasingly affected during this period. Hispanics and Asian Americans were also increasingly affected statewide, particularly during 2016-2020. Urban areas were statistically more affected by wildfires, while pollution-burdened disadvantaged communities were increasingly affected but not significantly. These findings can provide insights for defining communities, formulating environmental justice policies, and understanding socio-ecological trajectories.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Green & Sustainable Science & Technology
Edith B. de Guzman, Francisco J. Escobedo, Rachel O'Leary
Summary: Extreme heat in the United States disproportionately affects low-income communities of color. Planting trees can improve public health and reduce heat-related illnesses and deaths. However, there is a lack of information about the effectiveness of tree planting programs in promoting urban forest equity and public wellbeing.
FRONTIERS IN SUSTAINABLE CITIES
(2022)
Article
Environmental Studies
Matthew R. Sloggy, Francisco J. Escobedo, Jose J. Sanchez
Summary: The supply of ecosystem services and the benefits provided by peri-urban areas have a significant impact on society. Understanding people's spatial awareness is crucial for studying ecosystem services and influencing policy preferences and investments. Increasing spatial literacy is important for education, conservation, and management strategies to increase public engagement.
Article
Biodiversity Conservation
Manuel Esperon-Rodriguez, Paul D. Rymer, Sally A. Power, David N. Barton, Paloma Carinanos, Cynnamon Dobbs, Ana Alice Eleuterio, Francisco J. Escobedo, Richard Hauer, Martin Hermy, Ali Jahani, Jonathan C. Onyekwelu, Johan Ostberg, Diane Pataki, Thomas B. Randrup, Torres Rasmussen, Lara A. Roman, Alessio Russo, Charlie Shackleton, Ingjerd Solfjeld, Natalie S. Doorn, Matthew J. Wells, Bjorn Wistrom, Pengbo Yan, Jun Yang, Mark G. Tjoelker
Summary: Globally, urban greening initiatives are being planned by cities to improve quality of life and mitigate climate change. However, the survival of urban forests and the ecosystem benefits they provide are threatened by climate change. Long-term monitoring studies and adaptive management are needed to identify and prevent climate change-driven failures and mortality.
PLANTS PEOPLE PLANET
(2022)
