Article
Environmental Sciences
Jinjing Hou, Houkui Zhou, Junguo Hu, Huimin Yu, Haoji Hu
Summary: This paper proposes a remote sensing image forest tree species classification method based on the Multi-Scale Convolution and Multi-Level Fusion Network (MCMFN) architecture. By introducing the Shallow Multi-Scale Convolution Attention Combination (SMCAC) module and Multi-layer Selection Feature Fusion (MSFF) module, the method effectively improves the classification accuracy. Experimental results demonstrate the feasibility and effectiveness of the proposed method.
Article
Environmental Sciences
Xinran Chen, Xingfa Gu, Yulin Zhan, Dakang Wang, Yazhou Zhang, Faisal Mumtaz, Shuaiyi Shi, Qixin Liu
Summary: Research on the impact of anthropogenic heat discharge in a thermal environment is significant in climate change research. This study investigated the impact of central heating on the thermal environment in Shenyang, Changchun, and Harbin using remote sensing technology. The results showed a significant increase in the equivalent heat island areas at night, which was positively correlated with the central heating supply. These findings provide important insights for future studies on urban thermal environment changes.
Article
Environmental Sciences
Junyu Gao, Maoguo Gong, Xuelong Li
Summary: In this paper, we propose a method named SwinCounter for object counting in remote sensing. The method addresses the issue of imbalanced object labels by introducing a Balanced MSE Loss and captures multi-scale information accurately using the attention mechanism. Experiments on the RSOC dataset demonstrate the competitiveness and superiority of the proposed method.
Article
Computer Science, Information Systems
Yuxiang Yan, Xianwen Yu, Fengyang Long, Yanfeng Dong
Summary: This study evaluated the urban ecological environment of Shanghai using remote sensing technology and a projection pursuit model, showing an improvement in the overall ecological environment in the past five years. Districts like Hongkou, Jingan, and Huangpu have lower ecological quality and need more effort in improvement.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Review
Energy & Fuels
Lei Feng, Yu You, Weiling Liao, Jiawei Pang, Ronghao Hu, Li Feng
Summary: Water is crucial for life, but global water security is facing challenges. Monitoring water resources changes continuously is essential for sustainable management, and a distributed parallel method based on cloud computing is proposed to efficiently detect changes in massive remote sensing images.
Article
Geosciences, Multidisciplinary
Cheng Liu, Chengzhi Xing, Qihou Hu, Shanshan Wang, Shaohua Zhao, Meng Gao
Summary: This article reviews the recent advances in hyperspectral remote sensing techniques and discusses the future application prospects in air pollution monitoring. It recommends the use of a multi-means joint hyperspectral stereoscopic remote sensing monitoring mode for effective monitoring and regulation of air pollution.
EARTH-SCIENCE REVIEWS
(2022)
Article
Mathematics, Applied
Shanshan Chen, Jie Liu, Yixiang Wu
Summary: This paper investigates a competition model of two species in a stream, considering both random and directed movements of individuals, while assuming the two species are identical except for their movement rates. The paper focuses on whether the resident species can be invaded by another species, and provides insight into the global dynamics of the model within certain parameter ranges.
STUDIES IN APPLIED MATHEMATICS
(2022)
Article
Computer Science, Artificial Intelligence
Sixian Chan, Jingcheng Zheng, Lina Wang, Tingting Wang, Xiaolong Zhou, Yinkun Xu, Kai Fang
Summary: This study proposes a different approach based on YOLOv5 for object detection with angles in remote-sensing images. By adding angle information dimension and angle regression, and calculating the loss of the boundary box using ciou and smoothl1, the obtained boundary box is more suitable for the actual object. Experimental results show that this method has a unique effect in detecting rotating objects.
Review
Environmental Sciences
Yidan Si, Qifeng Lu, Xingying Zhang, Xiuqing Hu, Fu Wang, Lei Li, Songyan Gu
Summary: This paper introduces the common technique of using satellite observation data to retrieve atmospheric pollution parameters and summarizes the new developments in detecting aerosol parameters with multi-angle and/or polarized remote sensing observation instruments. The research status of aerosol characteristics in recent years is discussed from the perspective of airborne, space-borne, and ground-based detections, introducing the advancements in data set accuracy evaluation, inversion algorithm improvement, and product application.
ATMOSPHERIC ENVIRONMENT
(2021)
Article
Remote Sensing
Jingjin Hou, Houkui Zhou, Huimin Yu, Haoji Hu
Summary: This article introduces a forest tree species classification method based on the Hollow Pyramid Attention Combination (HPAC) network. The method enhances feature extraction and classification accuracy by introducing a Shallow Multi-scale Hollow Fusion (SMHF) module and a Maxpool Avgpool Fusion (MAF) module. Experimental results demonstrate the effectiveness of the proposed method.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2023)
Article
Mathematics, Applied
Chang-Yuan Cheng, Kuang-Hui Lin, Chih-Wen Shih
Summary: This study examines the impact of resource competition and environmental adaptation on the evolution of ecological populations by analyzing a model with two life stages and competition between two species. The findings reveal that competition strength is determined by the maturation times of the species and multiple competition outcomes exist.
JOURNAL OF DYNAMICS AND DIFFERENTIAL EQUATIONS
(2022)
Article
Environmental Sciences
Haihui You, Juntao Gu, Weipeng Jing
Summary: This study proposes a multi-label classification model for multi-source remote sensing images that combines dense convolution and an attention mechanism. The model enhances feature extraction and classification accuracy by adding fusion channel attention and a spatial attention mechanism, as well as replacing the softmax activation function with the sigmoid activation function.
Article
Ecology
Mario Minguito-Frutos, Jordi Boada, Jordi F. Pages, Candela Marco-Mendez, Rohan Arthur, Matthew P. Adams, Teresa Alcoverro
Summary: This study investigates the relationship between the vertical distribution of seagrass species and their plant traits. The results show that the vertical distribution of seagrasses is mainly influenced by their acclimatization capacity, including saturation irradiance, leaves per shoot, and above-ground biomass. In contrast, seagrass size and growth/reproductive strategy have no predictive power on their vertical distribution.
GLOBAL ECOLOGY AND BIOGEOGRAPHY
(2023)
Article
Environmental Sciences
Madhusmita Mohapatra, Shivakumara Manu, Stiti Prangya Dash, Gurdeep Rastogi
Summary: This study investigated the differences in bacterial communities between seagrasses and bulk sediments in Chilika, a brackish water coastal lagoon of India. The results showed that seagrasses had an effect on the diversity, composition, and abundances of benthic bacterial communities. Seagrasses supported higher bacterial abundances compared to bulk sediments, and the interactions and connectedness among seagrass bacterial communities were stronger. Seagrasses and environmental factors were the major drivers of benthic bacterial community composition. Heterotrophic bacteria in seagrass sediments showed higher metabolic diversity and activity than in bulk sediments, and seagrass sediments enhanced the utilization of carbon substrate guilds. Seagrasses play crucial roles in the organic matter cycling and degradation of hydrocarbon and xenobiotics in coastal sediments.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Chemistry, Analytical
Pablo Flores Pena, Marco Andres Luna, Mohammad Sadeq Ale Isaac, Ahmed Refaat Ragab, Khaled Elmenshawy, David Martin Gomez, Pascual Campoy, Martin Molina
Summary: This paper proposes the design of the communications, control systems, and navigation algorithms of a multi-UAV system focused on remote sensing operations. A new controller based on a compensator and a nominal controller is designed to dynamically regulate the UAVs' attitude. The navigation system addresses the multi-region coverage trajectory planning task using a new approach to solve the TSP-CPP problem. The combination of the proposed navigation techniques and control strategy was simulated to optimize the controller's parameters, and the results demonstrate the robustness of the controller and optimal performance of the route planner.
Article
Biodiversity Conservation
Richard K. F. Unsworth, Lina Mtwana Nordlund, Leanne C. Cullen-Unsworth
CONSERVATION LETTERS
(2019)
Editorial Material
Environmental Sciences
Mike van Keulen, Lina Mtwana Nordlund, Leanne C. Cullen-Unsworth
MARINE POLLUTION BULLETIN
(2018)
Article
Engineering, Environmental
Richard K. F. Unsworth, Len J. McKenzie, Catherine J. Collier, Leanne C. Cullen-Unsworth, Carlos M. Duarte, Johan S. Ekloef, Jessie C. Jarvis, Benjamin L. Jones, Lina M. Nordlund
Article
Plant Sciences
Mehdi Aminipouri, Anders Jensen Knudby, E. Scott Krayenhoff, Kirsten Zickfeld, Ariane Middel
URBAN FORESTRY & URBAN GREENING
(2019)
Article
Environmental Sciences
Christopher O. Ilori, Nima Pahlevan, Anders Knudby
Article
Construction & Building Technology
Mehdi Aminipouri, David Rayner, Fredrik Lindberg, Sofia Thorsson, Anders Jensen Knudby, Kirsten Zickfeld, Ariane Middel, E. Scott Krayenhoff
BUILDING AND ENVIRONMENT
(2019)
Article
Ecology
Marlene Jahnke, Martin Gullstrom, Josefine Larsson, Maria E. Asplund, Said Mgeleka, Mathew Ogalo Silas, Arielle Hoamby, Jamal Mahafina, Lina Mtwana Nordlund
ECOLOGY AND EVOLUTION
(2019)
Article
Environmental Sciences
E. Alonso Aller, J. S. Eklof, M. Gullstrom, U. Kloiber, H. W. Linderholm, L. M. Nordlund
ENVIRONMENTAL MONITORING AND ASSESSMENT
(2019)
Article
Environmental Sciences
Len J. McKenzie, Lina M. Nordlund, Benjamin L. Jones, Leanne C. Cullen-Unsworth, Chris Roelfsema, Richard K. F. Unsworth
ENVIRONMENTAL RESEARCH LETTERS
(2020)
Article
Environmental Sciences
Christopher O. Ilori, Anders Knudby
Review
Environmental Sciences
Ghada Y. H. El Serafy, Blake A. Schaeffer, Merrie-Beth Neely, Anna Spinosa, Daniel Odermatt, Kathleen C. Weathers, Theo Baracchini, Damien Bouffard, Laurence Carvalho, Robyn N. Conmy, Liesbeth De Keukelaere, Peter D. Hunter, Cedric Jamet, Klaus D. Joehnk, John M. Johnston, Anders Knudby, Camille Minaudo, Nima Pahlevan, Ils Reusen, Kevin C. Rose, John Schalles, Maria Tzortziou
Summary: Water quality measures can be obtained from professional and volunteer monitoring programs as well as automated sensors, with the integration of these data resulting in a more holistic understanding of dynamic ecosystems and improved water resource management. Combining data from various sources to answer scientific questions is common, but methods for scaling and integrating data globally have only recently emerged.
Article
Environmental Sciences
Anna C. Talucci, Garrett W. Meigs, Anders Knudby, Meg A. Krawchuk
Summary: Bark beetle outbreaks and wildfires are two significant disturbances in western North American forests, and this study investigates how fuel conditions influenced by mountain pine beetle outbreaks impact the probability of high burn severity in subboreal forests of central interior British Columbia. The study found that mixtures of live and dead vegetation created by variable beetle damage were influential in determining high-severity fire, in addition to weather conditions. These findings highlight the importance of considering both top-down and bottom-up factors, including the legacies of bark beetle outbreaks, in understanding and managing wildfires in the region.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Multidisciplinary Sciences
James J. Logan, Amber Gigi Hoi, Michael Sawada, Anders Knudby, Tim Ramsay, Justine I. Blanford, Nicholas H. Ogden, Manisha A. Kulkarni
Summary: This study aimed to estimate the associations between socio-ecological characteristics and residential Lyme disease risk at the neighborhood scale. The results showed that increases in median household income, the number and proportion of forest patches, forest edge density, and mean forest patch size were associated with higher residential Lyme disease incidence, while increases in forest shape complexity and average distance to forest edge were associated with reduced incidence.
Article
Environmental Sciences
Anders Knudby, Galen Richardson
Summary: Mapping water depth in nearshore waters is crucial for navigation safety and human activities in coastal areas. Optical satellite imagery provides a cost-effective data source for this purpose. Five satellite-derived bathymetry models were compared and the convolutional neural network (CNN) model performed the best, especially in relatively deep areas. The use of more than two bands and spatial contextual information should become standard practice in satellite-derived bathymetry.
REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
(2023)
Article
Ecology
Martin Gullstrom, Liberatus D. Lyimo, Martin Dahl, Goran S. Samuelsson, Maria Eggertsen, Elisabeth Anderberg, Lina M. Rasmusson, Hans W. Linderholm, Anders Knudby, Salomo Bandeira, Lina Mtwana Nordlund, Mats Bjork
