Article
Geochemistry & Geophysics
Wei Tu, Yatao Zhang, Qingquan Li, Ke Mai, Jinzhou Cao
Summary: This study explores the scale effect of fusing remote sensing and human sensing, proposing a dynamic weighting strategy. Through a case study on urban function inference and evaluation of fusion effects, it is demonstrated that fusing enables recognition of multiple urban function types, with results significantly influenced by scale.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Review
Plant Sciences
Amir Reza Shahtahmassebi, Chenlu Li, Yifan Fan, Yani Wu, Yue Lin, Muye Gan, Ke Wang, Arunima Malik, George Alan Blackburn
Summary: Remote sensing technologies play an important role in analyzing urban green spaces, but a comprehensive evaluation of the current status, challenges and potential in this area is lacking. Studies have focused on mapping UGSs and classifying species, with fewer examples of non-tree species mapping, change detection, biomass mapping, and vegetation health assessment within UGSs.
URBAN FORESTRY & URBAN GREENING
(2021)
Article
Remote Sensing
Yong Cheng, Wei Wang, Zhoupeng Ren, Yingfen Zhao, Yilan Liao, Yong Ge, Jun Wang, Jiaxin He, Yakang Gu, Yixuan Wang, Wenjie Zhang, Ce Zhang
Summary: Accurate extraction of urban green space is critical for preserving urban ecological balance and enhancing urban life quality. This study proposed a novel deep learning method called MFFTNet, which utilizes multi-scale feature fusion, transformer network, and vegetation feature extraction to effectively extract urban green space from high-resolution images. Experimental results demonstrate that MFFTNet outperforms existing popular deep learning models in urban green space segmentation.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Environmental Sciences
Stefano Tebaldini, Marco Manzoni, Dario Tagliaferri, Marco Rizzi, Andrea Virgilio Monti-Guarnieri, Claudio Maria Prati, Umberto Spagnolini, Monica Nicoli, Ivan Russo, Christian Mazzucco
Summary: This paper discusses the possibility of generating high-resolution mapping of urban or extra-urban environments using synthetic aperture radar (SAR) processing applied to data collected by mm-wave automotive radars. The role of SAR imaging in the automotive context is discussed from a theoretical and experimental perspective, including the benefits, technological aspects, and computational cost evaluation.
Article
Construction & Building Technology
Qian Zhang, Dian Zhou, Duo Xu, Alessandro Rogora
Summary: This study focuses on 36 green spaces in Xi'an and explores the impact of urban spatial indicators, such as building density and building floor area ratio, on the cooling effect of green spaces. The results show a significant correlation between these urban indicators and the cooling effect of green spaces. The study also finds that the relative position between the surrounding area and green space plays a role in the cooling effect, with the best effect observed when the green space is located on the north side.
BUILDING AND ENVIRONMENT
(2022)
Article
Engineering, Electrical & Electronic
Jacob Arndt, Dalton Lunga
Summary: The combination of remote sensing and deep learning has been proven to be an effective tool for efficiently and accurately classifying land-use and land-cover across large geographic areas. Experimental results in 13 cities show that deep learning outperforms traditional methods in categorizing urban structural units, demonstrating its potential in this field.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Jie Chen, Xinyi Dai, Ya Guo, Jingru Zhu, Xiaoming Mei, Min Deng, Geng Sun
Summary: A high-quality built environment is crucial for human well-being. This paper proposes an intelligent evaluation method based on high-resolution remote sensing images to assess the urban built environment. The results demonstrate that the deep-learning-driven method is effective for representing high-resolution remote-sensing image scenes and assessing large-scale urban built areas.
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
Multidisciplinary Sciences
Qian Zhang, Dian Zhou, Duo Xu, Jiayin Cheng, Alessandro Rogora
Summary: The physical indicators of green space have a significant impact on its thermal environment, and the results of this study are important for urban planning and policy making.
Article
Environmental Sciences
Melissande Machefer, Marti Perpinya-Valles, Maria Jose Escorihuela, David Gustafsson, Laia Romero
Summary: Surface water availability is crucial for effective climate adaptation and mitigation plans. This study introduces new methodologies for comprehensive monitoring of water bodies and accurate water level measurement. The results show significant improvements compared to existing platforms. Furthermore, various applications and educational challenges are discussed.
Article
Green & Sustainable Science & Technology
Yue Liu, Hui Li, Chang Li, Cheng Zhong, Xueye Chen
Summary: Rapid urbanization and population growth create pressures on urban environments, with green space landscape changes playing a significant role in impacting urban ecology. Built-up areas have negative effects on eco-environment factors, while green spaces have beneficial impacts on urban eco-environments.
Article
Remote Sensing
Dingyuan Chen, Ailong Ma, Yanfei Zhong
Summary: This paper proposes a semi-supervised knowledge distillation framework GUMONet for accurate global-scale urban man-made object mapping. It includes a label diversity progressive learning module and a size-variable knowledge distillation module to improve the mapping accuracy by generating high-quality labels and optimizing the data-model matching process.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Remote Sensing
Jibril Muhammad Adam, Weiquan Liu, Zang Yu, Muhammad Kamran Afzal, Saifullahi Aminu Bello, Abdullahi Uwaisu Muhammad, Cheng Wang, Jonathan Li
Summary: In this paper, we present the first comprehensive survey of recent advances in utilizing deep learning techniques for the semantic segmentation of urban-scale 3D meshes. We describe the different approaches employed by mesh-based learning methods to achieve element-wise classification tasks. We also provide a comparative analysis of the surveyed methods, benchmark datasets, and evaluation metrics for assessing segmentation performance.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Environmental Sciences
Wei Wang, Yong Cheng, Zhoupeng Ren, Jiaxin He, Yingfen Zhao, Jun Wang, Wenjie Zhang
Summary: This study proposes a new network model MAFANet that utilizes high-resolution remote sensing images and deep learning methods for urban green space segmentation. By incorporating feature engineering, MAFANet achieves improved segmentation accuracy and determination of green space boundaries. Experimental results demonstrate that MAFANet exhibits high robustness and accuracy in green space segmentation.
Article
Geography, Physical
Jianhua Guo, Qingsong Xu, Yue Zeng, Zhiheng Liu, Xiao Xiang Zhu
Summary: Urban tree canopy maps are crucial for providing urban ecosystem services. This study developed a semi-supervised deep learning method to robustly segment urban trees from high-resolution remote sensing images in order to better serve Brazil's urban ecosystem. The results showed that the urban tree canopy coverage in Brazil ranges from 5% to 35%, with an average coverage of approximately 18.68%. These canopy maps quantified the nationwide urban tree canopy inequality problem in Brazil. It is expected that these maps will encourage research on Brazilian urban ecosystem services, support urban development, and improve inhabitants' quality of life to achieve the Agenda for Sustainable Development goals.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2023)
Article
Soil Science
Zheng Guanghui, Dongryeol Ryu, Jiao Caixia, Hong Changqiao
Article
Environmental Sciences
Changqiao Hong, Xiaobin Jin, Jie Ren, Zhengming Gu, Yinkang Zhou
SCIENCE OF THE TOTAL ENVIRONMENT
(2019)
Article
Environmental Sciences
Changqiao Hong, Xiaobin Jin, Yeting Fan, Xiaomin Xiang, Shuai Cao, Changchun Chen, Guang Zheng, Yinkang Zhou
LAND DEGRADATION & DEVELOPMENT
(2020)
Article
Green & Sustainable Science & Technology
Wei Shan, Xiaobin Jin, Jie Ren, Yongcai Wang, Zhigang Xu, Yeting Fan, Zhengming Gu, Changqiao Hong, Jinhuang Lin, Yinkang Zhou
JOURNAL OF CLEANER PRODUCTION
(2019)
Article
Green & Sustainable Science & Technology
Weixing Lin, Changqiao Hong, Yinkang Zho
Article
Environmental Sciences
Yeting Fan, Le Gan, Changqiao Hong, Laura H. Jessup, Xiaobin Jin, Bryan C. Pijanowski, Yan Sun, Ligang Lv
Summary: This study quantified 12 LUFs using a geospatial model and statistical analysis in Jiangsu Province, identified the relationships among agricultural production function (APF), urban-rural living function (ULF), and ecological maintenance function (EMF), and explored the determinants of LUF trade-offs. The study provides valuable insights for policy-makers in future land use planning and management.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Environmental Sciences
Changqiao Hong, Alexander V. Prishchepov, Xiaobin Jin, Bo Han, Jinhuang Lin, Jingping Liu, Jie Ren, Yinkang Zhou
Summary: This study utilized multisource satellite imagery to monitor and analyze cropland abandonment in Nanjing County, China. The results showed that 31.85% of croplands have been abandoned in the past 20 years, with over 1/4 of townships experiencing high abandonment rates. Cropland abandonment mainly occurred in unfavorable areas for agricultural production, such as areas with a slope above 6 degrees.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Biodiversity Conservation
Yongcui Lan, Jinliang Wang, Qianwei Liu, Fang Liu, Lanfang Liu, Jie Li, Mengjia Luo
Summary: This study focuses on the five major plateau lake basins in central Yunnan, China, and constructs an ecological security pattern using the source-resistance surface-corridor-pinch point framework. The study simulates land use/cover change in the region and identifies early warning regions where future urban expansion poses a threat to current ecological source areas and corridors.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Pingping Huang, Feng Zhao, Bailing Zhou, Kuidong Xu
Summary: This study investigates the distribution of benthic microeukaryotes in the China Seas and finds that they can stride over the ecological barrier of 32 degrees N. The study also highlights the significant influence of depth, temperature, and latitude on communities in the China Seas.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Federico Morelli, Yanina Benedetti, Jesse Stanford, Leszek Jerzak, Piotr Tryjanowski, Paolo Perna, Riccardo Santolini
Summary: Species distribution models (SDMs) are numerical tools used for predicting species' spatial distribution. This study found that ecological characteristics, such as habitat specialization, play a role in improving the accuracy of SDMs.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Xiaoxuan Wu, Hang Liu, Wei Liu
Summary: Global climate change, urbanization, and economic development have increased the need for sustainable human development, urban ecological governance, and low-carbon energy transformation. This study analyzes the green ecological transition in Chengdu based on panel data from 2010 to 2020, exploring its spatiotemporal evolution and key factors. The results show an overall upward trend in Chengdu's green ecological development and positive spatial autocorrelation in certain districts.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Castaldi Simona, Formicola Nicola, Mastrocicco Micol, Morales Rodriguez Carmen, Morelli Raffaella, Prodorutti Daniele, Vannini Andrea, Zanzotti Roberto
Summary: Sustainable agricultural practices are increasingly important for global and national environmental policies and economy. This study compared the sustainability of grape production under integrated and organic management using multiple indicators. The results showed that organic management was more beneficial for most environmental aspects of the agroecosystem compared to integrated management, without affecting grape yield.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Gaia Vaglio Laurin, Alexander Cotrina-Sanchez, Luca Belelli-Marchesini, Enrico Tomelleri, Giovanna Battipaglia, Claudia Cocozza, Francesco Niccoli, Jerzy Piotr Kabala, Damiano Gianelle, Loris Vescovo, Luca Da Ros, Riccardo Valentini
Summary: Phenology monitoring is important for understanding forest functioning and climate impacts. This research compares the phenological behavior of European beech forests using Tree-Talker (TT+) and Sentinel 2 satellite data. The study finds differences in the information derived by the two sensor types, particularly in terms of season length, phenology changepoints, and leaf period variability. TT+ with its higher temporal resolution demonstrates precision in capturing the phenological changepoints, especially when satellite image availability is limited.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Huanhuan Pan, Ziqiang Du, Zhitao Wu, Hong Zhang, Keming Ma
Summary: The land use and cover changes resulting from coal mining activities and ecological restoration have had a significant impact on ecosystem services in mining areas. This study investigates the relationship between ecosystem services and land use intensity in coal mining areas, emphasizing the importance of understanding this interdependence for balanced human-land system development. The research examines the evolving relationship across different reclamation stages in Shanxi, China, using a coupling coordination degree model. The findings suggest the need for timely and judicious reclamation of coalfields, considering the land's bearing capacity.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Jingjuan He, Yijun Shi, Lihua Xu, Zhangwei Lu, Mao Feng
Summary: This study examines the spatial interplay between changes in the blue-green spatial distribution and modifications in land surface temperature grades in Shanghai. The findings reveal that the transformation of the blue-green spatial pattern differs between different sectors of the city, and the impact on the thermal environment varies spatially.
ECOLOGICAL INDICATORS
(2024)
Article
Biodiversity Conservation
Yi Xu, Di Zhang, Junqiang Lin, Qidong Peng, Xiaohui Lei, Tiantian Jin, Jia Wang, Ruifang Yuan
Summary: This study analyzed the response relationship between phytoplankton growth and water environmental parameters in the Middle Route of the South-to-North Water Diversion Project in China using long-term monitoring data and machine learning models. The results revealed the differences between monitoring sites and identified the key parameters that affect phytoplankton growth.
ECOLOGICAL INDICATORS
(2024)