Article
Remote Sensing
Yunkun Bai, Guangmin Sun, Yu Li, Peifeng Ma, Gang Li, Yuanzhi Zhang
Summary: Optical features show stronger capabilities in LULC classification, with key features like NDVI and GLCM's Mean value carrying distinct information for discriminating certain land-use types. The complementary mechanism of optical and polarimetric SAR features can be observed in the radar chart.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Yanyu Wang, Jun Wang, Huanxin Zhang, Nathan Janechek, Yi Wang, Meng Zhou, Pengke Shen, Jianguo Tan, Qianshan He, Tiantao Cheng, Cheng Huang
Summary: Unprecedented land use and land cover change (LULCC) has occurred in China in the past two decades. This study quantifies the impact of LULCC on summer temperatures in urban and rural areas in Eastern China from 2003 to 2019. The results show that LULCC causes urban areas, especially new urban areas, to become warmer, while rural areas become cooler and greener. The analysis also reveals that reductions in latent heat play a dominant role in urban warming. The study highlights the importance of larger greenspaces and albedo management in urban areas as part of LULCC policies to alleviate temperature disparity between urban and rural areas.
ATMOSPHERIC ENVIRONMENT
(2023)
Article
Computer Science, Information Systems
Fang Fang, Yafang Yu, Shengwen Li, Zejun Zuo, Yuanyuan Liu, Bo Wan, Zhongwen Luo
Summary: Land-use maps play a crucial role in urban planning and environmental research. Street view images (SVIs) have shown great potential for automated land-use classification, but previous studies have overlooked the contextual information from SVIs. This study proposes a novel method that synthesizes location semantics from SVIs to improve land-use classification accuracy.
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
(2021)
Article
Biodiversity Conservation
Gengzhe Wang, Qi Han, Bauke de Vries
Summary: This study implemented spatial optimization in Eindhoven, Netherlands, classified land use patterns into six categories, and found that vegetation geographic features are crucial factors affecting carbon emissions. Through a multi-objective spatial optimization model, carbon emissions were successfully reduced, and the impact of different land use categories on carbon emissions was analyzed.
ECOLOGICAL INDICATORS
(2021)
Article
Plant Sciences
Pauliina Salmi, Matti A. Eskelinen, Matti T. Leppanen, Ilkka Polonen
Summary: A study was conducted to test the effectiveness of a commercial hyperspectral camera in monitoring the growth of different algae strains in liquid samples. Various indices calculated from wavebands showed strong correlations with algae abundance and wet biomass, providing practical protocols for evaluating algae cultures.
Article
Plant Sciences
Yiru Ma, Lulu Ma, Qiang Zhang, Changping Huang, Xiang Yi, Xiangyu Chen, Tongyu Hou, Xin Lv, Ze Zhang
Summary: UAV remote sensing is of great significance in cotton yield monitoring. Visible vegetation indices and texture features extracted from RGB images obtained by UAVs are significantly correlated with cotton yield. Combining these indices and features in a model can accurately monitor cotton yield.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Environmental Sciences
Ying Tu, Bin Chen, Wei Lang, Tingting Chen, Miao Li, Tao Zhang, Bing Xu
Summary: Detailed information on urban land uses has been an essential requirement for urban land management and policymaking. Recent advances in remote sensing and machine learning technologies have contributed to the mapping and monitoring of multi-scale urban land uses, yet there lacks a holistic mapping framework that is compatible with different end users' demands. Our proposed framework offered an alternative to investigating urban land use composition, which could be applied in a broad range of implications in future urban studies.
Article
Environmental Sciences
Fahime Arabi Aliabad, Hamid Reza Ghafarian Malamiri, Saeed Shojaei, Alireza Sarsangi, Carla Sofia Santos Ferreira, Zahra Kalantari
Summary: One of the main problems in developing countries is unplanned urban growth and land use change. This study examined the possibility of identifying new constructions in urban areas using images from unmanned aerial vehicles (UAV), Google Earth and Sentinel-2. Different processing methods were compared to find the most accurate classification method, and a novel method for identifying new constructions was proposed.
Article
Environmental Sciences
Mojtaba Saboori, Saeid Homayouni, Reza Shah-Hosseini, Ying Zhang
Summary: This paper proposes a comprehensive analysis for optimum feature selection and the most efficient classifier for accurate urban area mapping. The experiments reveal that RF, PSO, and NCA are the most efficient classifiers, and wrapper-based and filter-based methods are the most efficient feature selection methods. Dissimilarity, contrast, and correlation features play the greatest contributing role in the classification performance.
Article
Environmental Sciences
Shuangtao Wang, Pingping Luo, Chengyi Xu, Wei Zhu, Zhe Cao, Steven Ly
Summary: Reconstruction of historical land uses and analysis of modern land-use data showed an increase in urban construction land area, a decrease in unused land and water bodies over the past 435 years in Xi'an. The increase in urban green space and buildings, along with factors such as impervious surfaces, building density, and water areas, contribute to exacerbating urban flooding risks in the study area.
Article
Soil Science
Hao Wang, Guang-hui Zhang
Summary: Seasonal variations in soil erodibility indices were detected in different land use types on the Loess Plateau, with soil cohesion, saturated conductivity, drop impact, soil aggregate size, penetration resistance, and erodibility index generally increasing, while erodibility K factor decreasing. These changes were attributed to variations in biological soil crust thickness, plant litter density, root mass density, soil organic matter content, and soil bulk density over the course of one growing season.
Article
Meteorology & Atmospheric Sciences
Bijay Halder, Tiyasha Tiyasha, Shamsuddin Shahid, Zaher Mundher Yaseen
Summary: Drought is a dominant climatic feature in arid and semiarid regions, and investigating drought dynamics is crucial for natural resource planning in these areas. Using remote sensing indices and earth observational datasets, this study examined drought in the Indian city of Bikaner, revealing a gradual increase in drought in recent years.
THEORETICAL AND APPLIED CLIMATOLOGY
(2022)
Review
Remote Sensing
Jiadi Yin, Jinwei Dong, Nicholas A. S. Hamm, Zhichao Li, Jianghao Wang, Hanfa Xing, Ping Fu
Summary: Remote Sensing has been used in urban mapping for a long time, however, the complexity and diversity of urban functional patterns are difficult to be captured by RS only. Emerging Geospatial Big Data are considered as the supplement to RS data, and help to contribute to our understanding of urban lands from physical aspects to socioeconomic aspects. The integration of RS and GBD features were categorized into feature-level integration and decision-level integration in urban land use classification.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Gengsheng Fang, Xiaobing He, Yuhui Weng, Luming Fang
Summary: This study investigates the prediction of Forest growing stock volume (GSV) using Sentinel-2 spectral predictors and image textures derived from spectral bands and vegetation indices. The results show that texture features derived from vegetation indices are superior to spectral parameters or texture features derived from spectral bands for estimating the GSV. In addition, texture features based on shortwave infrared bands or related vegetation indices are emphasized, and the mean value at the plot level exhibits slightly stronger potential than the standard deviation in general.
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
Ecology
Koen W. Thijs, Raf Aerts, Pieter van de Moortele, Job Aben, Winfred Musila, Petri Pellikka, Hubert Gulinck, Bart Muys
LANDSCAPE AND URBAN PLANNING
(2015)
Article
Environmental Sciences
Frederik Lerouge, Kurt Sannen, Hubert Gulinck, Liesbet Vranken
ENVIRONMENTAL SCIENCE & POLICY
(2016)
Article
Green & Sustainable Science & Technology
Hubert Gulinck, Ernesto Marcheggiani, Anna Verhoeve, Kirsten Bomans, Valerie Dewaelheyns, Frederik Lerouge, Andrea Galli
Article
Ecology
Koen W. Thijs, Raf Aerts, Winfred Musila, Mika Siljander, Erik Matthysen, Luc Lens, Petri Pellikka, Hubert Gulinck, Bart Muys
BASIC AND APPLIED ECOLOGY
(2014)
Article
Ecology
Valerie Dewaelheyns, Annemie Elsen, Hilde Vandendriessche, Hubert Gulinck
LANDSCAPE AND URBAN PLANNING
(2013)
Article
Plant Sciences
Raf Aerts, Koen W. Thijs, Valerie Lehouck, Henk Beentje, Benny Bytebier, Erik Matthysen, Hubert Gulinck, Luc Lens, Bart Muys
Article
Ecology
Koen W. Thijs, Raf Aerts, Pieter Van de Moortele, Winfred Musila, Hubert Gulinck, Bart Muys
RESTORATION ECOLOGY
(2014)
Review
Economics
Natalia Girao Rodrigues de Mello, Hubert Gulinck, Pieter Van den Broeck, Constanza Parra
FOREST POLICY AND ECONOMICS
(2020)
Article
Soil Science
Boniface H. J. Massawe, Leigh Winowiecki, Joel L. Meliyo, Joseph D. J. Mbogoni, Balthazar M. Msanya, Didas Kimaro, Jozef Deckers, Hubert Gulinck, Charles Lyamchai, George Sayula, Elizabeth Msoka, Tor-Gunnar Vagen, Gladness Brush, Nicolas A. Jelinski
Article
Biodiversity Conservation
Frederik Lerouge, Hubert Gulinck, Liesbet Vranken
ECOLOGICAL INDICATORS
(2017)
Article
Environmental Studies
Anna Verhoeve, Valerie Dewaelheyns, Eva Kerselaers, Elke Rogge, Hubert Gulinck
Article
Geography
Valerie Dewaelheyns, Elke Rogge, Hubert Gulinck
Article
Urban Studies
Valerie Dewaelheyns, Elke Vanempten, Kirsten Bomans, Anna Verhoeve, Hubert Gulinck
JOURNAL OF URBAN DESIGN
(2014)
Proceedings Paper
Computer Science, Software Engineering
Ernesto Marcheggiani, Hubert Gulinck, Andrea Galli
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2013, PT IV
(2013)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Ernesto Marcheggiani, Andrea Galli, Hubert Gulinck
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2011, PT I
(2011)
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)