Article
Ecology
Kaifang Shi, Guifen Liu, Liang Zhou, Yuanzheng Cui, Shirao Liu, Yizhen Wu
Summary: The slope climbing of urban land expansion (SCUE) is a widespread phenomenon that poses challenges to sustainable urban development. This study quantified and evaluated the global SCUE from 2000 to 2018, showing an increase in average slope globally. The study also found that hills are a key area for SCUE and provided insights into the sustainability of hillside urbanization worldwide.
LANDSCAPE AND URBAN PLANNING
(2023)
Review
Environmental Studies
Min Wu, Bingxin Yan, Ying Huang, Md Nazirul Islam Sarker
Summary: With the rapid urbanization, ensuring urban sustainability has become a crucial goal for urban life. Big data-driven technologies offer great potential for addressing the challenges in urban management and sustainability. By utilizing big data analytics, urban management can make informed decisions, enhance governance, and improve real-time management. Urban sustainability involves strategic planning in the social, economic, and environmental dimensions, and big data technologies can facilitate various aspects of urban affairs such as transport, waste management, and citizen participation.
Article
Environmental Sciences
Rolf Simoes, Gilberto Camara, Gilberto Queiroz, Felipe Souza, Pedro R. Andrade, Lorena Santos, Alexandre Carvalho, Karine Ferreira
Summary: This paper introduces an open-source R package sits for satellite image time series analysis using machine learning, which adopts a time-first, space-later approach and supports the complete cycle of data analysis for land classification. The software provides a simple but powerful set of functions and works in different cloud computing environments. It includes methods for quality assessment of training data and provides validation and accuracy measurement methods.
Article
Environmental Sciences
Panpan Xu, Nandin-Erdene Tsendbazar, Martin Herold, Jan G. P. W. Clevers, Linlin Li
Summary: This study evaluates the potential of multi-source freely available Earth Observation (EO) data for improving the characterization of aquatic land cover globally. Results show that the combination of different data sources can enhance the classification performance of water and vegetation types in aquatic areas. However, single-sensor data has limitations in discriminating mixed and spectrally similar types.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Min Zhao, Changxiu Cheng, Yuyu Zhou, Xuecao Li, Shi Shen, Changqing Song
Summary: This study generated a global dataset of annual urban extents from consistent nighttime light observations and analyzed the spatiotemporal patterns of global urban dynamics over nearly 30 years. The resulting dataset was evaluated and found reliable for characterizing spatial extents associated with intensive human settlement and high-intensity socioeconomic activities. This dataset provides unique information for capturing the historical and future trajectories of urbanization and understanding its impacts on various aspects.
EARTH SYSTEM SCIENCE DATA
(2022)
Article
Environmental Sciences
Xuecao Li, Yuyu Zhou, Mohamad Hejazi, Marshall Wise, Chris Vernon, Gokul Iyer, Wei Chen
Summary: A high resolution global dataset of urban dynamics was developed using urban cellular automata modelling, with projections indicating the greatest urban sprawl and environmental impacts under a fossil-fuelled development shared socioeconomic pathway.
COMMUNICATIONS EARTH & ENVIRONMENT
(2021)
Article
Remote Sensing
Qing Ding, Zhenfeng Shao, Xiao Huang, Orhan Altan, Bin Hu
Summary: Accurate land cover mapping is crucial for ecological environment protection and sustainable urban development. In this study, we proposed a novel time-series large-scale mapping approach that utilizes OpenStreetMap volunteered data to obtain high-quality training samples and transfers them for land cover mapping in historical years. By relying on data from the Google Earth Engine platform, we constructed a discriminating feature set that includes spectrum, texture, and backscatter coefficient. The proposed mapping approach demonstrates high accuracy and reliability, providing a valid decision-making basis for urban planning.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Environmental Sciences
Jie Cao, Weiqi Zhou, Wenjuan Yu, Xiaofang Hu, Miao Yu, Jing Wang, Jia Wang
Summary: This study analyzes the data from Beijing from 1985 to 2018 and finds that urban expansion and local land cover change have a joint impact on urban warming, but their relative contributions change over time and city size, with three turning points. These results can provide insights for urban planning and adaptation to the urban heat island effect.
Article
Ecology
Yunyu Tian, Nandin-Erdene Tsendbazar, Eveline van Leeuwen, Rasmus Fensholt, Martin Herold
Summary: This study is the first global attempt to characterize the complexity of urbanization, showing significant variations across regions and times. It found that increased population density and built-up structure were dominant in Asia and Africa, while Europe and North America exhibited steady urbanization combined with greening.
LANDSCAPE AND URBAN PLANNING
(2022)
Article
Remote Sensing
Hantian Wu, Bo Huang, Zhaoju Zheng, Ranhao Sun, Deyong Hu, Yuan Zeng
Summary: This study proposes an urban anthropogenic heat index (UAHI) to quantify the contribution of anthropogenic heat flux (AHF) to urban heat islands (UHIs). The UAHI is calculated based on the differences in land surface temperature (LST) and albedo between urban and rural areas using Landsat and MODIS data. The spatial and temporal association between UAHI and AHF in Beijing is investigated. The results show that the UAHI can accurately represent the spatial heterogeneity and temporal variations in AHF, providing a new option for improving the knowledge of urban thermal environments.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Environmental Sciences
Qiquan Yang, Xin Huang, Xiaohua Tong, Changjiang Xiao, Jie Yang, Yue Liu, Yinxia Cao
Summary: This study fills the research gap by investigating the spatiotemporal pattern of urban trees' cooling efficiency (CE) in 510 global cities. Results show that daytime CE decreases with increasing fractional tree cover (FTC) in most cities, while nighttime CE weakens. CE varies among cities and tends to be higher in hot and dry cities. Additionally, CE exhibits distinct seasonal variation.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Matthew C. Hansen, Peter Potapov, Amy H. Pickens, Alexandra Tyukavina, Andres Hernandez-Serna, Viviana Zalles, Svetlana Turubanova, Indrani Kommareddy, Steve Stehman, Xiao-Peng Song, Anil Kommareddy
Summary: The conversion of natural land cover into human-dominated land use systems has significant impacts on the environment. Global mapping and monitoring of human-dominated land use extent via satellites provides an empirical basis for assessing land use pressures. Results highlight the need for planning efforts to preserve natural systems and associated ecosystem services.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Geography
Daisy San Martin Saldias, Liliana Guzman Aguayo, Luke Wallace, Karin Reinke, Blythe McLennan
Summary: Understanding how individuals and communities perceive landscape is crucial for land management decisions. This study compared satellite estimates of land use with the perceptions of Yungay's inhabitants in Chile, using viewshed analysis to reconcile differences. It was found that restricting the satellite cover estimate to the visible landscape provided similar results to the participants' estimates, with variations observed among different demographic groups.
Article
Remote Sensing
Hao Wu, Anqi Lin, Xudong Xing, Danxia Song, Yan Li
Summary: This study proposed a margin-based measure of random forest to identify the core driving factors of urban land use change, which was found to be more reliable and sensitive in detecting the driving mechanism behind land use change. Regardless of the similarity measure chosen and applied, the importance values and ranking orders of driving factors measured by the margin-based method were stable.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Yongjun Jia, Kailin Xiao, Mingsen Lin, Xi Zhang
Summary: This study uses satellite data to examine changes in global sea level from 2002 to 2020. The results show that the global sea level is rising at an average rate of 3.3 mm per year, with 62.7% of the rise attributed to water volume increase.
Article
Agronomy
Wenqi Liu, Jinwei Dong, Guoming Du, Geli Zhang, Zhixin Hao, Nanshan You, Guosong Zhao, K. Colton Flynn, Tong Yang, Yuting Zhou
Summary: This study examined the biophysical effects of paddy rice expansion in northeast China on land surface temperature (LST), using satellite-derived data and a high-resolution crop map. The results showed that rice paddies had lower LST compared to corn and soybean fields during the growing season, with daytime cooling and nighttime warming. The study also found that both radiative and nonradiative processes play a role in the LST response of paddy rice.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Review
Agronomy
Yanyan Pei, Jinwei Dong, Yao Zhang, Wenping Yuan, Russell Doughty, Jilin Yang, Decheng Zhou, Liangxia Zhang, Xiangming Xiao
Summary: This study investigates the evolution of light use efficiency (LUE) models and identifies their improvements in various components. It also highlights the uncertainties caused by model structures, parameterizations, input data, and scale mismatch issues.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Agronomy
Chao Zhang, Jinwei Dong, Lijun Zuo, Quansheng Ge
Summary: This study proposed a two-step strategy to map annual irrigated areas in China from 2000 to 2019. The results showed that the total irrigated area in China increased by 24.8%, mainly in the northern region, due to land reclamation and improved irrigation infrastructure.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Agriculture, Multidisciplinary
Chao Zhang, Jinwei Dong, Quansheng Ge
Summary: With the development of remote sensing technology, fine-resolution cropland datasets have become powerful tools for agriculture planning and food security evaluation. This study compared and evaluated six crop-land products in China in 2015, finding differences in spatial consistency, provincial area accuracy, and pixel-wise accuracy.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Environmental Sciences
Zhichao Li, Shuai Zhang, Jinwei Dong
Summary: This study proposes a framework that combines two state-of-the-art models, three commonly used active learning strategies, and landscape characterization to reduce the effort of data annotation in CNN-based building extraction. The study provides insights into the advantages of active learning and suggests what kind of image tiles are more advantageous for CNN-based building extraction.
Article
Environmental Sciences
Ruoqi Liu, Geli Zhang, Jinwei Dong, Yan Zhou, Nanshan You, Yingli He, Xiangming Xiao
Summary: The phenology-based approach is effective for paddy rice mapping, but it can be affected by data availability during the flooding and transplanting phase. This study compares the effects of different sensors' data availability in this critical phenology phase and analyzes the spatial pattern of valid observations related to certain factors. The integration of Landsat-7 and 8 and Sentinel-2 imagery proves reliable for paddy rice mapping in China.
Article
Multidisciplinary Sciences
Chao Zhang, Jinwei Dong, Quansheng Ge
Summary: This study developed annual 500-m irrigated cropland maps for China from 2000 to 2019, using a two-step strategy that integrated statistics, remote sensing, and existing irrigation products. The resulting maps, with moderate overall accuracies, provide important information about the spatial distribution and extent of irrigated croplands, contributing to sustainable water use and agricultural development.
Article
Ecology
Boyu Wang, Huimin Yan, Jinwei Dong
Summary: Protected areas play an important role in ecological conservation, especially in developing countries. This study assessed the rationality of protected area designation and analyzed the conservation effectiveness from the perspective of human pressure. The results showed a correlation between the rationality and effectiveness of protected areas with the Human Development Index of countries. The study calls for increased efforts in protected area construction in developing countries along the Belt and Road Initiative to achieve ecological conservation goals.
ECOLOGICAL ENGINEERING
(2022)
Article
Environmental Sciences
Wenqi Liu, Yuting Zhou, Jinwei Dong, Geli Zhang, Tong Yang, Nanshan You, K. Colton Flynn, Pradeep Wagle, Haoxuan Yang
Summary: With the increasing demand for livestock consumption, the planted area of green fodder in China has been rapidly expanding and will continue to do so. However, the climate feedback of this land cover conversion remains unclear. By using remote sensing observation and meteorological data, this study compared the land surface temperature of green fodder plantations and native grassland in the northeastern Tibetan Plateau. The results showed that the green fodder areas were cooler than the native grassland throughout the growing season, with the highest cooling effect observed in August. The study highlighted the potential cooling effects of expanding green fodder areas on native grasslands, emphasizing the need to investigate climate feedback from anthropogenic land use change.
ENVIRONMENTAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Kailong Cui, Jilin Yang, Jinwei Dong, Guosong Zhao, Yaoping Cui
Summary: This study examines the sensitivity of phenological retrievals for deciduous broadleaf forests (DBF) using different spatial resolution data and proxy indices. The results show that 30 m Landsat-Sentinel-2 data and 500 m MODIS data accurately capture DBF phenological metrics, with different indices performing better for the start and end of the growing season. The study provides guidance for accurate monitoring of DBF phenology at a broad scale.
Article
Environmental Sciences
Chang Fan, Jilin Yang, Guosong Zhao, Junhu Dai, Mengyao Zhu, Jinwei Dong, Ruoqi Liu, Geli Zhang
Summary: This study compared ground and satellite observations and found that the 30m Landsat/Sentinel-2 data was more consistent with ground observations in wetland vegetation phenology, indicating its advantage over the 500m MODIS data. The study also highlighted the complexity of wetland phenology and its role in global climate change.
Article
Green & Sustainable Science & Technology
Ziqi Meng, Jinwei Dong, Erle C. Ellis, Graciela Metternicht, Yuanwei Qin, Xiao-Peng Song, Sara Lofqvist, Rachael D. Garrett, Xiaopeng Jia, Xiangming Xiao
Summary: This study uses 30-m cropland maps to show that cropland expansion in protected areas accelerated dramatically from 2000 to 2019, compared with the expansion of global croplands, threatening the aspirations of the post-2020 global biodiversity framework.
NATURE SUSTAINABILITY
(2023)
Article
Multidisciplinary Sciences
Xi Chen, Jinwei Dong, Lin Huang, Lajiao Chen, Zhichao Li, Nanshan You, Mrinal Singha, Fulu Tao
Summary: Floods occur more frequently in the context of climate change, but flood monitoring capacity has not been established well. This study characterized summer floods in the middle and lower reaches of the Yangtze River Plain in 2020 using a synergic mapping framework, considering both flood extent and intensity. It was found that a total of 4936 km(2) was flooded from July to August, with 1658, 1382, and 1896 km(2) experiencing triple, double, and single floods respectively. The study highlights the importance of rapid regional flood disaster assessment and mitigation.
Article
Agriculture, Multidisciplinary
Guosong Zhao, Jinwei Dong, Jilin Yang, Huanjiong Wang, Junhu Dai, Yan Zhou, Yaoping Cui, Quansheng Ge
Summary: The impacts of anthropogenic effects on advanced spring green-up dates (GUDs) induced by global climate change are still unclear. This study examines the differences in GUDs between agroecosystems and natural ecosystems in China and explores the potential effects of cropland expansion on vegetation spring phenology. The results show that agroecosystems have significantly later GUDs than adjacent natural ecosystems, and the delay is more distinct in regions with remarkable land reclamation. The study emphasizes the importance of understanding the role of cropland expansion in driving inter-annual change of vegetation spring phenology and the integration of realistic crop green-up timing into climate models.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2023)
Article
Agronomy
Yuanyuan Di, Nanshan You, Jinwei Dong, Xiaoyong Liao, Kaishan Song, Ping Fu
Summary: With over 80% of soybean demand dependent on imports, China has implemented various policies to improve soybean self-sufficiency. However, the effects of these policies on soybean planting areas and cropping patterns in Northeast China, the leading soybean-producing region, are unclear. By analyzing crop maps from 2017 to 2021, it was found that the soybean subsidy policy released in 2017 did not revive soybean planting areas but only stabilized them. The decline (-27.9%) in soybean planting areas during 2020-2021 was attributed to the comparative benefits of maize cultivation. The routine maize-soybean rotation system was found to dominate cropping patterns instead of the subsidy policy.
EUROPEAN JOURNAL OF AGRONOMY
(2023)
