Article
Computer Science, Interdisciplinary Applications
L. Vilar, S. Herrera, E. Tafur-Garcia, M. Yebra, J. Martinez-Vega, P. Echavarria, M. P. Martin
Summary: This study used a statistically based regression model to estimate the future probability of wildfire occurrence in four regions of Spain over a 20-year period. The results showed regional differences in the increased probability of wildfires, providing valuable information for planning and management actions in the future.
ENVIRONMENTAL MODELLING & SOFTWARE
(2021)
Article
Environmental Sciences
Eugenio Y. Arima, Audrey Denvir, Kenneth R. Young, Antonio Gonzalez-Rodriguez, Felipe Garcia-Oliva
Summary: The study found that as demand for avocado increases, avocado production in Michoacan expands into new areas, influenced by factors such as existing agriculture, accessibility, and diminishing availability of soils. Future expansion may result in loss of various forest types, particularly pine-oak forest, mesophilic montane forest, and oyamel fir forest. The wider avocado crop production footprint could lead to orchard establishment in forests hosting high biodiversity.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Irena Nimac, Ivana Herceg-Bulic, Maja Zuvela-Aloise
Summary: Urban climate is impacted by weather, global climate change, and urban development. This study reveals that climate change has a dominant effect on the heat load of Zagreb, while land-use/land-cover changes have a weaker impact but significant spatial variability on heat load.
Article
Agriculture, Multidisciplinary
Qinsi He, De Li Liu, Bin Wang, Aaron Simmons, Cathy Waters, Linchao Li, Puyu Feng, Yi Li, Annette Cowie, Peter de Voil, Alfredo Huete, Qiang Yu
Summary: Conservation agriculture management practices, such as cover crops and residue retention, have been found to improve soil quality and environmental sustainability in dryland cropping systems. The long-term adoption of cowpea cover crops could be a potential practice to sustain crop productivity with environmental co-benefits, especially in the wetter regions of southeast Australia.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2023)
Article
Environmental Sciences
James Fryer, Ian D. Williams
Summary: Accurate assessment of carbon stocks is a global challenge that requires a spatially-targeted approach for strategic carbon management. This study conducted a regional carbon assessment using biophysical-process modelling and high resolution land cover data within a UK National Park.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Meteorology & Atmospheric Sciences
Fuqiang Cao, Li Dan, Zhuguo Ma, Tao Gao
Summary: The study explores the impacts of land use change on regional climate in East Asia using a regional coupled model. It shows significant seasonal and interdecadal signals in climate and terrestrial processes, specifically highlighting the transitions of forest and cropland areas. The results suggest that besides LULCC, other factors such as East Asian monsoon circulations also play a role in modulating climate change in the region.
THEORETICAL AND APPLIED CLIMATOLOGY
(2021)
Article
Environmental Sciences
Decheng Zhou, Jingfeng Xiao, Steve Frolking, Liangxia Zhang, Guoyi Zhou
Summary: Increasing urbanization leads to the urban heat island effect and worsens health risks from heat waves due to global warming. Using high-resolution satellite observations, this study quantifies the warming effects of urbanization at local, regional, and global scales. The results show that 88% of urbanized areas globally experience local warming effects, while the remaining areas have cooling effects on average. The study also highlights the substantial regional warming effects of urbanization, particularly in eastern China, the eastern United States, and Europe. Furthermore, global urban expansion is responsible for over three-quarters of the urban heat island effect, and its impact is projected to increase by 50% to 200% by the end of the century.
Article
Meteorology & Atmospheric Sciences
Astrid Manciu, Anja Rammig, Andreas Krause, Benjamin Raphael Quesada
Summary: Colombia is vulnerable to climate change, especially due to regional deforestation. This study examines the impact of historical land cover changes and global warming on temperature and precipitation in Colombia. The results show that anthropogenic climate change has led to a temperature increase and increased precipitation, while land cover changes have reduced precipitation. La Nina events have a stronger impact in the Andes region compared to El Nino, but a weaker impact on the coast. Accurately accounting for both land cover changes and global warming is important for hydroclimatic assessments.
Article
Geosciences, Multidisciplinary
Varun Sharma, Franziska Gerber, Michael Lehning
Summary: Accurately simulating snow cover dynamics and the snow-atmosphere coupling is crucial for understanding water resources, natural hazards, and climate change impacts. CRYOWRF, a new modelling framework, couples the widely used atmospheric model WRF with the detailed snow cover model SNOWPACK. It enables the simulation of multiple snow layers and their interactions with the atmosphere at various scales. The introduction of a blowing snow scheme in CRYOWRF improves its capabilities. The article discusses CRYOWRF's design goals, performance costs, provides case studies, and outlines its future development and usage roadmap.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2023)
Article
Agronomy
Linfei Yu, Guoyong Leng
Summary: This study estimated the global biophysical temperature effects of LULCC using CMIP6 climate models and found a historical global warming effect of LULCC at a rate of 0.0025 degrees C/century. Forested/non-forested secondary land, urban land, and cropland have contributed over 70% to LULCC's temperature effect, with land transitions and land management also playing significant roles in the climate impact.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Ecology
Torbern Tagesson, Julia Kelly, Guy Schurgers, Feng Tian, Jonas Ardo, Stephanie Horion, Anders Ahlstrom, Stefan Olin, Rasmus Fensholt
Summary: This study developed an R-eco model driven by long-term global-scale Earth observations and analyzed the spatiotemporal dynamics of R-eco from 1982 to 2015. The results revealed a significant increase in global R-eco during recent decades, but a slower growth rate during 1998-2015, which partially explains the reduced growth rates of atmospheric CO2 during this period.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2023)
Article
Green & Sustainable Science & Technology
Khun La Yaung, Amnat Chidthaisong, Atsamon Limsakul, Pariwate Varnakovida, Can Trong Nguyen
Summary: This study quantitatively examined the contribution of LULC changes to temperature trends in Myanmar and Thailand, typical parts of Southeast Asia. The results showed that the decreases of forest land and cropland, as well as the expansions of settlements land fractions, were strongly correlated with the observed warming trends. The study provides scientific information for future development of more sustainable land use planning.
Article
Environmental Sciences
Lvlv Wang, Dunxian She, Jun Xia, Lin Meng, Lingcheng Li
Summary: This study investigated the difference in land surface phenology (LSP) between restored and native vegetation on the Loess Plateau in China, and how LSP responds to climate. Restored vegetation showed a longer growing season and a delay in greenup and senescence compared to native vegetation. Temperature primarily influenced greenup and maturity, while precipitation mainly controlled senescence and dormancy.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Jose Manuel Jimenez-Gutierrez, Francisco Valero, Jesus Ruiz-Martinez, Juan Pedro Montavez
Summary: The study analyzed the sensitivity of near surface air temperature to changes in vegetation, finding that increasing vegetation can lower minimum temperatures and affect maximum temperatures based on soil moisture. Overall, increasing vegetation will lead to a higher daily temperature range.
Article
Environmental Sciences
Baohui Mu, Xiang Zhao, Donghai Wu, Xinyan Wang, Jiacheng Zhao, Haoyu Wang, Qian Zhou, Xiaozheng Du, Naijing Liu
Summary: This study analyzed the vegetation cover change trends in China from 2001 to 2018 and found that CO2, climate-related factors, and land cover change played significant roles in driving these changes. CO2 was identified as the primary driving factor for vegetation cover changes, indicating its importance in vegetation growth research.
Article
Multidisciplinary Sciences
Paria Ettehadi Osgouei, Elif Sertel, M. Erdem Kabadayi
Summary: This study aims to determine the historical land use and land cover changes using different geospatial datasets from different time periods. The research proposes a method to prepare historical datasets and utilizes an object-oriented joint classification scheme to accurately map the spatio-temporal changes. The analysis shows diverging developments in the selected locations over a period of 162 years.
SCIENTIFIC REPORTS
(2022)
Article
Computer Science, Information Systems
Serdar Kizilkaya, Ugur Alganci, Elif Sertel
Summary: This study introduces the VHRShips dataset, which is a unique and rich ship dataset that can improve the scalability of ship detection and mapping applications. A deep learning-based multi-stage approach called HieD is proposed for ship type classification. The results show that HieD outperforms other methods in localization, recognition, and identification stages.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Review
Geosciences, Multidisciplinary
Peijuan Wang, Bulent Bayram, Elif Sertel
Summary: This research aims to comprehensively evaluate DL-based SISR methods on optical remote sensing images. The study first introduces DL techniques used in SISR and then thoroughly summarizes RSISR algorithms, including DL models, commonly used remote sensing datasets, loss functions, and performance evaluation metrics. The research also provides a new multi-sensor dataset and evaluates the performance of state-of-the-art super-resolution methods on this dataset.
EARTH-SCIENCE REVIEWS
(2022)
Article
Computer Science, Artificial Intelligence
Tolga Bakirman, Irem Komurcu, Elif Sertel
Summary: Automatic building segmentation is a crucial task for various applications, and deep learning-based techniques have been widely adopted. In this study, a new building dataset called the Istanbul dataset was generated for building segmentation. The researchers conducted extensive experiments to explore the ideal architecture and parameters for this task using the Istanbul dataset. The results demonstrated that the Unet++ architecture with the SE-ResNeXt101 encoder pretrained on ImageNet achieved the best performance on the Istanbul dataset.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Environmental Sciences
Kubra Bahsi, Beyza Ustaoglu, Samet Aksoy, Elif Sertel
Summary: This research aims to determine the amount of crop-based residue burning (CRB) in the Southeastern Anatolia Region of Turkiye, using Sentinel-2 images and Intergovernmental Panel on Climate Change standards. The analysis showed that CRB practices in 2019 released 14,444.307 Gg of Greenhouse Gases and 117.809 Gg of Particulate Matters. The results can improve national statistics and support agricultural decision-making processes.
GEOCARTO INTERNATIONAL
(2023)
Article
Oceanography
Joshua Coupe, Cheryl Harrison, Alan Robock, Alice DuVivier, Elizabeth Maroon, Nicole S. Lovenduski, Scott Bachman, Laura Landrum, Charles Bardeen
Summary: A large-scale nuclear war could lead to rapid global climate change due to the injection of soot into the stratosphere. In climate model simulations, global cooling causes expansion of sea ice in the Northern Hemisphere, but in the Southern Hemisphere, sea ice initially expands and then suddenly loses 30% of its volume in a single melting season in the largest nuclear war simulation.
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
(2023)
Article
Computer Science, Artificial Intelligence
Peijuan Wang, Elif Sertel
Summary: With the advancement of artificial intelligence techniques and the launch of new satellites with video capturing capability, multi-frame super-resolution of remote sensing images has become a critical research topic. In this study, an attention-based Generative Adversarial Network (GAN) algorithm is proposed for multi-frame remote sensing image super-resolution. Several experiments were conducted, comparing the results of different models and the proposed approach using SpaceNet7 and Jilin-1 datasets.
KNOWLEDGE-BASED SYSTEMS
(2023)
Editorial Material
Geochemistry & Geophysics
Fabio Florindo, Valerio Acocella, Ann Marie Carlton, Paolo D'Odorico, Qingyun Duan, Andrew Gettelman, Jasper Halekas, Ruth Harris, Gesine Mollenhauer, Alan Robock, Claudine Stirling, Yusuke Yokoyama
Summary: Reviews of Geophysics is an AGU journal that publishes comprehensive review articles across various disciplines within the Earth and Space Sciences. It is a highly ranked journal in the fields of Geochemistry and Geophysics, with a high Journal Impact Factor (JIF). The journal's review papers provide crucial context for current work, establishing a framework for comprehensive understanding of research progress and interconnections between different communities.
REVIEWS OF GEOPHYSICS
(2023)
Article
Engineering, Geological
Bugrahan oezcihan, Levent Dogukan oezlue, Muemin Ilker Karakap, Halime Suermeli, Ugur Alganci, Elif Sertel
Summary: Satellite images are widely used in the production of geospatial information. Geometric correction is essential for image pre-processing to extract accurate locational information. This study performed geometric correction on satellite images obtained from Pleiades 1A (PHR) and SPOT-6 using empirical and physical models. Several experiments were conducted to investigate the effects of various parameters on the performance of the geometric correction procedure. The results showed that the model using RPC from data providers achieved lower RMSE values, providing better locational accuracy.
INTERNATIONAL JOURNAL OF ENGINEERING AND GEOSCIENCES
(2023)
Article
Food Science & Technology
Brendan Clark, Lili Xia, Alan Robock, Simone Tilmes, Jadwiga H. Richter, Daniele Visioni, Sam S. Rabin
Summary: This study analyzes the impacts of 11 different stratospheric aerosol intervention scenarios on maize, rice, soybean, and wheat production. The results show that higher-latitude nations produce the most calories under unabated climate change, while midlatitude nations maximize calories under moderate stratospheric aerosol intervention and equatorial nations produce the most calories from crops under high levels of intervention.
Article
Environmental Sciences
Alan Robock, Lili Xia, Cheryl S. Harrison, Joshua Coupe, Owen B. Toon, Charles G. Bardeen
Summary: The direct effects of nuclear war are terrible, but it can also lead to a nuclear winter, which would have catastrophic consequences for global food supplies. The theory of nuclear winter played a role in ending the nuclear arms race and led to the Treaty on the Prohibition of Nuclear Weapons in 2017, for which the International Campaign to Abolish Nuclear Weapons received the Nobel Peace Prize.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Review
Environmental Sciences
Daniele Visioni, Ben Kravitz, Alan Robock, Simone Tilmes, Jim Haywood, Olivier Boucher, Mark Lawrence, Peter Irvine, Ulrike Niemeier, Lili Xia, Gabriel Chiodo, Chris Lennard, Shingo Watanabe, John C. Moore, Helene Muri
Summary: The Geoengineering Model Intercomparison Project (GeoMIP) is a coordinating framework that aims to understand the physical processes and impacts of solar geoengineering. It has conducted numerous experiments and published over 100 studies. This critical assessment discusses its successes, missed opportunities, contributions to geoengineering research and climate science, and provides recommendations for future experiments and activities.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2023)
Article
Remote Sensing
Haydar Akcay, Samet Aksoy, Sinasi Kaya, Elif Sertel, Jadu Dash
Summary: This study evaluated the performance of Sentinel-1 and Sentinel-2 data fusion for regional mapping of olive trees. Using the Izmir Province in Turkiye as a case study, the researchers successfully produced a regional-scale olive distribution map. The results showed that this method can be scaled up to the entire country and replicated elsewhere, providing a foundation for other scientific studies and effective management practices.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2023)
Proceedings Paper
Engineering, Aerospace
Ramil Safarov, Elif Sertel
Summary: This study used Remote Sensing and Geographic Information Systems to analyze the coastal changes around the Baku International Sea Trade Port over the past thirty years. The results showed that the most significant shoreline change occurred on the east side of the port, while the smallest change was observed 11.5 kilometers south of the port. Additionally, the study found that the land area had increased by 633 hectares due to coastline filling.
2023 10TH INTERNATIONAL CONFERENCE ON RECENT ADVANCES IN AIR AND SPACE TECHNOLOGIES, RAST
(2023)
Article
Geochemistry & Geophysics
Cengiz Avci, Elif Sertel, Mustafa Erdem Kabadayi
Summary: The research aimed to propose an ideal architecture, encoder, and hyperparameter settings for historical road extraction, achieving the best results with the combination of Unet++ architecture and split-attention network (Timm-resnest200e) encoder, which can directly be used for inference of other historical maps and transfer learning.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
