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Quantifying the impacts of the COVID-19 pandemic lockdown and the armed conflict with Russia on Sentinel 5P TROPOMI NO_(2)changes in Ukraine

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Big Earth Data 2024年第1期8卷 58-81页

作者： Anh Phan hiromichi fukui Graduate School of Engineering Chubu UniversityKasugaiJapan Chubu Institute for Advanced Studies and International Digital Earth Applied Science Research Center(IDEAS) Chubu UniversityKasugaiJapan

This study investigated variations in nitrogen dioxide(NO_(2))levels in Ukraine during two significant periods:the COVID-19 pandemic lockdown in 2020 and the armed conflict with Russia in *** and reprocessed Sentinel 5P data products were utilized for the analysis.A machine learning model was employed to generate a business-as-usual NO_(2)time series that accounted for meteorological *** the nine most populous cities in Ukraine,during the lockdown in 2020 we observed a moderation of increases in NO_(2)levels during the lockdown compared to the pre-lockdown *** at the same months during the conflict period in 2022,we identified much more significant reductions in NO_(2)level in these cities,averaging 12.1%for original and 18.1%for reprocessed *** our examination of major urban areas,we observed reductions in NO_(2)levels in areas surrounding coal power plants damaged or destroyed by the *** the major urban areas in Ukraine,we conclude that changes in daily anthropogenic activities due to the conflict-related events had more substantial impacts on NO_(2)levels than did COVID-19 lockdown.

关键词： NO_(2) COVID-19 Russia-Ukraine armed conflict weather-normalization

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Improvement of Glacial Lakes Detection under Shadow Environment Using ASTER Data in Himalayas, Nepal

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Chinese Geographical Science 2013年第2期23卷 216-226页

作者： CHEN Wenbo fukui hiromichi DOKO Tomoko GU Xingfa Graduate School of Media and Governance Keio University Chubu Institute for Advanced Studies Chubu University Research Institute of Environment and Information Sciences Yokohama National University JSPS Research Fellow Institute of Remote Sensing Applications Chinese Academy of Sciences

The detection of glacial lake change in the Himalayas, Nepal is extremely significant since the glacial lake change is one of the crucial indicators of global climate change in this area, where is the most sensitive area of the global climate changes. In the Hima- layas, some of glacial lakes are covered by the dark mountains＇ shadow because of their location. Therefore, these lakes can not be de- tected by conventional method such as Normalized Difference Water Index （NDWI）, because the reflectance feature of shadowed glacial lake is different comparing to the ones which are located in the open flat area. The shadow causes two major problems： 1） glacial lakes which are covered by shadow completely result in underestimation of the number of glacial lakes; 2） glacial lakes which are partly iden- tified are considered to undervalue the area of glacial lakes. The aim of this study is to develop a new model, named Detection of Shadowed Glacial Lakes （DSGL） model, to identify glacial lakes under the shadow environment by using Advanced Space-borne Ther- mal Emission and Reflection Radiometer （ASTER） data in the Himalayas, Nepal. The DSGL model is based on integration of two dif- ferent modifications of NDWI, namely NDWls model and NDWIshe model. NDWI~ is defined as integration of the NDWI and slope analysis and used for detecting non-shadowed lake in the mountain area. The NDWIshe is proposed as a new methodology to overcome the weakness of NDWI~ on identifying shadowed lakes in highly elevated mountainous area such as the Himalayas. The first step of the NDWIshe is to enhance the data from ASTER 1B using the histogram equalization （HE） method, and its outcome product is named AS- TERho. We used the ASTERhe for calculating the NDWIhc and the NDWIshe. Integrated with terrain analysis using Digital Elevation Model （DEM） data, the NDWIshe can be used to identify the shadowed glacial lakes in the Himalayas. NDWIs value of 0.41 is used to identify the glacier lake （NDWI~ 〉 0.

关键词： glacial lake shadow environment DSGL model ASTER remote sensing Himalayas Nepal

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Digital Earth:A platform for the SDGs and green transformation at the global and local level,employing essential SDGs variables

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Big Earth Data 2021年第4期5卷 476-496页

作者： hiromichi fukui Duc Chuc Man Anh Phan Chubu Institute for Advanced Studies and International Digital Earth Applied Science Research Center(IDEAS) Chubu UniversityKasugaiJapan Graduate School of Engineering Chubu UniversityKasugaiJapan

The 17 Sustainable Development Goals present clear directions toward the green transformation being sought by the global *** SDGs are an integrated framework,with a complex network of interlinkages between the goals,targets and indicators,and they pose wicked problems to ***,measur-ing progress and achievements with the SDGs requires the integra-tion of various spatio-temporal datasets from different domains and the synthesis of disciplines to describe a system of *** Group on Earth Observations has developed the concept of Essential Variables to describe systems across Societal Benefit Areas that are applicable for this *** Earth is a virtual representation of the planet,potentially encompassing all its sys-tems and life forms,including human *** as a multidimensional,multi-scale,multi-temporal,and multi-layer informa-tion facility,Digital Earth is a valuable platform that can contribute to the achievement of the SDGs and a green *** that end,a set of Essential SDGs Variables(ESDGVs)for the platform are proposed and cases of implementation and use are introduced.

关键词： Digital Earth SDGs Earth Observation interoperability Essential Variables

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Changes in Imja Lake and Karda Lake in the Everest Region of Himalaya

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Natural Resources 2013年第7期4卷 449-455页

作者： Wenbo Chen Tomoko Doko hiromichi fukui Wanglin Yan Chubu Institute for Advanced Studies Chubu University Kasugai Japan Graduate School of Media and Governance Keio University Fujisawa Japan Research Institute of Environment and Information Sciences Yokohama National University Yokohama Japan Research Fellow of the Japan Society for the Promotion of Science Tokyo Japan

The Himalaya is a region sensitive to climate change. Changes in the glacial regime are one indicator of global climate changes. There are several studies focusing on analysis of temporal changes of these glacial lakes in the Himalaya region. However, the researches on addressing these trends in relation with surrounding topographical conditions are quite limited. In this study, we analyzed spatio-temporal changes in Imja Lake, located on the southern slope, and Karda Lake, located on the northern slope of the Mt. Everest region, in 1976, 1992, 2000, and 2008. Moreover, we examined whether the topographic conditions differ between the two slopes. Landsat and ASTER GDEM (advanced space borne thermal emission and reflection radiometer, global digital elevation model) data were used to identify boundaries of target glacial lakes and to calculate three indices of growth rate compared to year of 1976 (%, GRa), growth rate compared to preceding year (%, GRb), and growth speed (m2/year, GS) of the two lakes. The topographic conditions in circular buffer zones from the centroid of the two lakes were analyzed. Although the area of two lakes demonstrated linear increase from 1976 to 2008, growth rate compared to year of 1976 (GRa) differed significantly (Kruskal-Wallis test, p squared test for independence on m × n contingency table between 1976, 1992, 2000, and 2008 on growth speed (GS)). The two slopes differed in terms of three topographical variables: altitude, aspect, and angle of inclination (Kruskal-Wallis test,

关键词： Glacial Lakes Topography Himalaya Remote Sensing GIS

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