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Open biomass burning (OBB) significantly impacts regional and global air quality, climate change, and human health. Northeast China (NEC) is susceptible to OBB, including forest, shrubland, grassland, peatland, and cropland burning. Here, we develop a high-resolution (1 km × 1 km), multi-year (2001–2017), and monthly emission inventory associated with OBB in NEC using the burned area product (MCD64A1), satellite and observational biomass data, vegetation index-derived spatiotemporal variable combustion efficiency, and emission factors. The emissions produced from the burning of 11 types of crop-residues were calculated using measured and MODIS fire radiative power (FRP) data. The results showed that the average annual OBB emissions in NEC for 2001–2017 were 23.4, 95.1, 1538.0, 30,816.8, 18.8, 258.5, 69.8, 133.7, 225.3, 321.8, and 11.3 Gg of BC, CH4, CO, CO2, NH3, NMVOC, NOx, OC, PM2.5, PM10, and SO2, respectively. Taking CO2 as an example, crop residue burning was observed to be the largest contributor of CO2 overall, accounting for 68% (20.9 × 103 Gg a−1) of the total CO2 emissions, which was followed by forest (30%) and grassland (2%) fires. Heilongjiang Province was the largest emitter of CO2 (16.7 × 103 Gg a−1) compared to Jilin (5.8 × 103 Gg a−1), Inner Mongolia (5.3 × 103 Gg a−1), and Liaoning (3.0 × 103 Gg a−1). Crop residue burning was dominant in Heilongjiang, Jilin, and Liaoning, while forest fires were dominant in Inner Mongolia. Furthermore, CO2 emissions showed considerable interannual variability, with peaks in 2003 and 2008. Extensive burning of crop residues in the four provinces jointly determined these peak CO2 emissions, which occurred in March and October. Our high-resolution and multi-year inventory of OBB emissions can be applied to air quality modeling, atmospheric transport simulation, and biogeochemical cycling studies.
Yusheng Shi; Shiyao Gong; Shuying Zang; Yue Zhao; Wen Wang; Zhenghan Lv; Tsuneo Matsunaga; Yasushi Yamaguchi; Yanbing Bai. High-resolution and multi-year estimation of emissions from open biomass burning in Northeast China during 2001–2017. Journal of Cleaner Production 2021, 310, 127496 .
AMA StyleYusheng Shi, Shiyao Gong, Shuying Zang, Yue Zhao, Wen Wang, Zhenghan Lv, Tsuneo Matsunaga, Yasushi Yamaguchi, Yanbing Bai. High-resolution and multi-year estimation of emissions from open biomass burning in Northeast China during 2001–2017. Journal of Cleaner Production. 2021; 310 ():127496.
Chicago/Turabian StyleYusheng Shi; Shiyao Gong; Shuying Zang; Yue Zhao; Wen Wang; Zhenghan Lv; Tsuneo Matsunaga; Yasushi Yamaguchi; Yanbing Bai. 2021. "High-resolution and multi-year estimation of emissions from open biomass burning in Northeast China during 2001–2017." Journal of Cleaner Production 310, no. : 127496.
Biomass burning in the tropics significantly impacts the regional and global atmospheric budget, climate change, and air pollution. This study developed a multi-year (2001–2017), high-resolution (0.1° × 0.1°), monthly biomass burning emissions inventory covering all land types in tropical continents (Americas, Africa, and Asia). The emissions inventory was based on the updated MCD64A1 burned area product, MODIS fire radiative power (FRP) data, satellite and observational data of aboveground biomass density, spatiotemporal variable combustion efficiency, a conversion ratio, and emission factors. The results showed that the average annual emissions in tropical continents for 2001–2017 were 1.73 Tg BC, 10.85 Tg CH4, 261.41 Tg CO, 6083.69 Tg CO2, 3.60 Tg NH3, 39.75 Tg NMOC, 11.99 Tg NOx, 18.40 Tg OC, 29.63 Tg PM2.5, and 2.19 Tg SO2. Taking CO2 as an example, woody savanna/shrubland fire was the largest contributor, accounting for 52% (3.16 × 103 Tg a−1) of total CO2 emissions, followed by fires in savanna/grassland (27%), forest (17%), cropland (3%), and peatland (1%). Africa was the largest emitter (3.77 × 103 Tg a−1), larger than Asia (1.20 × 103 Tg a−1) and the Americas (1.11 × 103 Tg a−1). The dominant fire types of vegetation burning were savanna/grassland in the Americas, woody savanna/shrubland in Africa, and forest in Asia. Moreover, biomass burning CO2 emissions exhibited considerable interannual variations, with high values in 2004, 2007, 2010, and 2015. Extensive savanna/grassland burning in the Americas in September and woody savanna/shrubland fires in Africa in August jointly led to peak CO2 emissions in August–September. This multi-year and high-resolution inventory for biomass burning emissions could be used in studies on global and regional biogeochemical circulation, atmospheric simulation, and air quality modeling.
Yusheng Shi; Shuying Zang; Tsuneo Matsunaga; Yasushi Yamaguchi. A multi-year and high-resolution inventory of biomass burning emissions in tropical continents from 2001–2017 based on satellite observations. Journal of Cleaner Production 2020, 270, 122511 .
AMA StyleYusheng Shi, Shuying Zang, Tsuneo Matsunaga, Yasushi Yamaguchi. A multi-year and high-resolution inventory of biomass burning emissions in tropical continents from 2001–2017 based on satellite observations. Journal of Cleaner Production. 2020; 270 ():122511.
Chicago/Turabian StyleYusheng Shi; Shuying Zang; Tsuneo Matsunaga; Yasushi Yamaguchi. 2020. "A multi-year and high-resolution inventory of biomass burning emissions in tropical continents from 2001–2017 based on satellite observations." Journal of Cleaner Production 270, no. : 122511.
The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) is a researchfacility instrument on NASA’s Terra spacecraft.
Yasushi Yamaguchi; Michael Abrams. Editorial for the Special Issue “ASTER 20th Anniversary”. Remote Sensing 2020, 12, 884 .
AMA StyleYasushi Yamaguchi, Michael Abrams. Editorial for the Special Issue “ASTER 20th Anniversary”. Remote Sensing. 2020; 12 (5):884.
Chicago/Turabian StyleYasushi Yamaguchi; Michael Abrams. 2020. "Editorial for the Special Issue “ASTER 20th Anniversary”." Remote Sensing 12, no. 5: 884.
The Advanced Spaceborne Thermal Emission and Reflection Radiometer is one of five instruments operating on the National Aeronautics and Space Administration (NASA) Terra platform. Launched in 1999, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) has been acquiring optical data for 20 years. ASTER is a joint project between Japan’s Ministry of Economy, Trade and Industry; and U.S. National Aeronautics and Space Administration. Numerous reports of geologic mapping and mineral exploration applications of ASTER data attest to the unique capabilities of the instrument. Until 2000, Landsat was the instrument of choice to provide surface composition information. Its scanners had two broadband short wave infrared (SWIR) bands and a single thermal infrared band. A single SWIR band amalgamated all diagnostic absorption features in the 2–2.5 micron wavelength region into a single band, providing no information on mineral composition. Clays, carbonates, and sulfates could only be detected as a single group. The single thermal infrared (TIR) band provided no information on silicate composition (felsic vs. mafic igneous rocks; quartz content of sedimentary rocks). Since 2000, all of these mineralogical distinctions, and more, could be accomplished due to ASTER’s unique, high spatial resolution multispectral bands: six in the SWIR and five in the TIR. The data have sufficient information to provide good results using the simplest techniques, like band ratios, or more sophisticated analyses, like machine learning. A robust archive of images facilitated use of the data for global exploration and mapping.
Michael Abrams; Yasushi Yamaguchi. Twenty Years of ASTER Contributions to Lithologic Mapping and Mineral Exploration. Remote Sensing 2019, 11, 1394 .
AMA StyleMichael Abrams, Yasushi Yamaguchi. Twenty Years of ASTER Contributions to Lithologic Mapping and Mineral Exploration. Remote Sensing. 2019; 11 (11):1394.
Chicago/Turabian StyleMichael Abrams; Yasushi Yamaguchi. 2019. "Twenty Years of ASTER Contributions to Lithologic Mapping and Mineral Exploration." Remote Sensing 11, no. 11: 1394.
Hydrothermal alteration minerals, which are important as indicators in the exploration of ore deposits, exhibit diagnostic absorption peaks in the short-wavelength infrared region. We propose an approach for the identification of alteration minerals that uses a deep learning method and compare it with conventional identification methods which use numerical calculation. Inexpensive spectrometers often tend to show errors in the wavelength direction, even after wavelength calibration, which causes erroneous mineral identification. In this study, deep learning is applied to extract features from reflectance spectra to remove such errors. Two typical deep learning methods—a convolutional neural network and a multi-layer perceptron—were applied to spectral reflectance data, with and without hull quotient processing, and their accuracy rates and f-values were evaluated. There was an improvement in mineral identification accuracy when hull quotient processing was applied to the learning data.
Soichiro Tanaka; Hideo Tsuru; Kazuaki Someno; Yasushi Yamaguchi. Identification of Alteration Minerals from Unstable Reflectance Spectra Using a Deep Learning Method. Geosciences 2019, 9, 195 .
AMA StyleSoichiro Tanaka, Hideo Tsuru, Kazuaki Someno, Yasushi Yamaguchi. Identification of Alteration Minerals from Unstable Reflectance Spectra Using a Deep Learning Method. Geosciences. 2019; 9 (5):195.
Chicago/Turabian StyleSoichiro Tanaka; Hideo Tsuru; Kazuaki Someno; Yasushi Yamaguchi. 2019. "Identification of Alteration Minerals from Unstable Reflectance Spectra Using a Deep Learning Method." Geosciences 9, no. 5: 195.
The contrast in the emissivity spectra of phosphorite and associated carbonate rock can be used as a guide to delineate phosphorite within dolomite. The thermal emissivity spectrum of phosphorite is characterized by a strong doublet emissivity feature with their absorption minima at 9 µm and 9.5 µm; whereas, host rock dolomite has relatively subdued emissivity minima at ~9 µm. Using the contrast in the emissivity spectra of phosphorite and dolomite, data obtained by the thermal bands of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) sensor were processed to delineate phosphorite within dolomite. A decorrelation stretched ASTER radiance composite could not enhance phosphorite rich zones within the dolomite host rock. However, a decorrelation stretched image composite of selected emissivity bands derived using the emissivity normalization method was suitable to enhance large surface exposures of phosphorite. We have found that the depth of the emissivity minima of phosphorite gradually has increased from dolomite to high-grade phosphorite, while low-grade phosphate has an intermediate emissivity value and the emissivity feature can be studied using three thermal bands of ASTER. In this context, we also propose a relative band depth (RBD) image using selected emissivity bands (bands 11, 12, and 13) to delineate phosphorite from the host rock. We also propose that the RBD image can be used as a proxy to estimate the relative grades of phosphorites, provided the surface exposures of phosphorite are large enough to subdue the role of intrapixel spectral mixing, which can also influence the depth of the diagnostic feature along with the grade. We have validated the phosphorite pixels of the RBD image in the field by carrying out colorimetric analysis to confirm the presence of phosphorite. The result of the study indicates the utility of the proposed relative band depth image derived using ASTER TIR bands for delineating Proterozoic carbonate-hosted phosphorite.
Arindam Guha; Yasushi Yamaguchi; Snehamoy Chatterjee; Komal Rani; Kumranchat Vinod Kumar. Emittance Spectroscopy and Broadband Thermal Remote Sensing Applied to Phosphorite and Its Utility in Geoexploration: A Study in the Parts of Rajasthan, India. Remote Sensing 2019, 11, 1003 .
AMA StyleArindam Guha, Yasushi Yamaguchi, Snehamoy Chatterjee, Komal Rani, Kumranchat Vinod Kumar. Emittance Spectroscopy and Broadband Thermal Remote Sensing Applied to Phosphorite and Its Utility in Geoexploration: A Study in the Parts of Rajasthan, India. Remote Sensing. 2019; 11 (9):1003.
Chicago/Turabian StyleArindam Guha; Yasushi Yamaguchi; Snehamoy Chatterjee; Komal Rani; Kumranchat Vinod Kumar. 2019. "Emittance Spectroscopy and Broadband Thermal Remote Sensing Applied to Phosphorite and Its Utility in Geoexploration: A Study in the Parts of Rajasthan, India." Remote Sensing 11, no. 9: 1003.
This paper proposes a method of combining and visualizing multiple lithological indices derived from Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data and topographical information derived from digital elevation model (DEM) data in a single color image that can be easily interpreted from a geological point of view. For the purposes of mapping silicate rocks, carbonate rocks, and clay minerals in hydrothermal alteration zones, two new indices derived from ASTER thermal infrared emissivity data were developed to identify silicate rocks, and existing indices were adopted to indicate the distribution of carbonate rocks and the species and amounts of clay mineral. In addition, another new method was developed to visualize the topography from DEM data. The lithological indices and topographical information were integrated using the hue–saturation–value (HSV) color model. The resultant integrated image was evaluated by field survey and through comparison with the results of previous studies in the Cuprite and Goldfield areas, Nevada, USA. It was confirmed that the proposed method can be used to visualize geological information and that the resulting images can easily be interpreted from a geological point of view.
Kana Kurata; Yasushi Yamaguchi. Integration and Visualization of Mineralogical and Topographical Information Derived from ASTER and DEM Data. Remote Sensing 2019, 11, 162 .
AMA StyleKana Kurata, Yasushi Yamaguchi. Integration and Visualization of Mineralogical and Topographical Information Derived from ASTER and DEM Data. Remote Sensing. 2019; 11 (2):162.
Chicago/Turabian StyleKana Kurata; Yasushi Yamaguchi. 2019. "Integration and Visualization of Mineralogical and Topographical Information Derived from ASTER and DEM Data." Remote Sensing 11, no. 2: 162.
Spherical Fe-oxide concretions on Earth, especially in Utah, USA, have been investigated as an analog of hematite spherules found in Meridiani Planum on Mars to support interpretations of water-rock interactions in early Mars. Although several formation mechanisms have been proposed for the Fe-oxide concretions on Earth, it is still unclear whether these mechanisms are viable because a precise formation process and precursor of the concretions are missing. This paper presents evidence that Fe-oxide concretions in Utah and newly found Fe-oxide concretions in Mongolia had spherical calcite concretions as precursors. Different formation stages of calcite and Fe-oxide concretions observed, both in Utah and Mongolia, indicate that calcite concretions initially formed within eolian sandstone strata and were dissolved by infiltrating Fe-rich acidic waters to form spherical FeO(OH) crusts due to pH buffering. The similarity between these Fe-oxide concretions on Earth and the hematite spherule occurrences in Meridiani Planum, combined with evidence of acid sulfate water influences on Mars, suggest that the hematite spherules also formed from dissolution of preexisting carbonate spherules possibly formed under a dense carbon dioxide early martian atmosphere.
H. Yoshida; H. Hasegawa; N. Katsuta; I. Maruyama; S. Sirono; M. Minami; Y. Asahara; S. Nishimoto; Y. Yamaguchi; N. Ichinnorov; R. Metcalfe. Fe-oxide concretions formed by interacting carbonate and acidic waters on Earth and Mars. Science Advances 2018, 4, eaau0872 .
AMA StyleH. Yoshida, H. Hasegawa, N. Katsuta, I. Maruyama, S. Sirono, M. Minami, Y. Asahara, S. Nishimoto, Y. Yamaguchi, N. Ichinnorov, R. Metcalfe. Fe-oxide concretions formed by interacting carbonate and acidic waters on Earth and Mars. Science Advances. 2018; 4 (12):eaau0872.
Chicago/Turabian StyleH. Yoshida; H. Hasegawa; N. Katsuta; I. Maruyama; S. Sirono; M. Minami; Y. Asahara; S. Nishimoto; Y. Yamaguchi; N. Ichinnorov; R. Metcalfe. 2018. "Fe-oxide concretions formed by interacting carbonate and acidic waters on Earth and Mars." Science Advances 4, no. 12: eaau0872.
Mercury emissions from biomass burning contribute significantly to the atmospheric mercury budget and the interannual variation of mercury concentrations in the troposphere. This study developed a high-resolution (0.1° × 0.1°) monthly inventory of mercury emissions from biomass burning across five land types in the tropical continents (Central and South America, Africa, and South and Southeast Asia) during 2001–2017. The inventory estimates of mercury emissions from biomass burning are based on the newly released MCD64A1 Version 6 Burned Area data product, satellite and observational data of biomass density, and spatial and temporal variable combustion factors. Results from the inventory demonstrated that during 2001–2017, the average annual mercury emissions from biomass burning in tropical continents was 497 Mg and ranged from 289 Mg to 681 Mg. Forest fires were the largest contributor, accounting for 61% (300 Mg) of the total mercury emissions from biomass burning, followed by fires in woody savanna/shrubland (30%, 151 Mg), savanna/grassland (7%, 35 Mg), peatland (1%, 6 Mg), and cropland (1%, 5 Mg). However, these proportions varied between the continents; in the Americas and Asia, the largest biomass burning emissions came from forest fires, and in Africa the largest emissions were from fires woody savanna/shrubland. Between the three continents, Africa released 41% of the mercury emissions from biomass burning (202 Mg year−1), Asia released 31% (154 Mg year−1), and the Americas released 28% (141 Mg year−1). The total mercury emissions from biomass burning in these tropical continents exhibited strong interannual variations from 2001 to 2017, with peak emissions in March and August to September, and forest fires were the primary land type controlling the interannual variations.
Yusheng Shi; Aimei Zhao; Tsuneo Matsunaga; Yasushi Yamaguchi; Shuying Zang; Zhengqiang Li; Tao Yu; Xingfa Gu. High-resolution inventory of mercury emissions from biomass burning in tropical continents during 2001–2017. Science of The Total Environment 2018, 653, 638 -648.
AMA StyleYusheng Shi, Aimei Zhao, Tsuneo Matsunaga, Yasushi Yamaguchi, Shuying Zang, Zhengqiang Li, Tao Yu, Xingfa Gu. High-resolution inventory of mercury emissions from biomass burning in tropical continents during 2001–2017. Science of The Total Environment. 2018; 653 ():638-648.
Chicago/Turabian StyleYusheng Shi; Aimei Zhao; Tsuneo Matsunaga; Yasushi Yamaguchi; Shuying Zang; Zhengqiang Li; Tao Yu; Xingfa Gu. 2018. "High-resolution inventory of mercury emissions from biomass burning in tropical continents during 2001–2017." Science of The Total Environment 653, no. : 638-648.
Quantification of spatial and temporal variations in premature mortality attributable to PM2.5 has important implications for air quality control in South and Southeast Asia (SSEA). The number of PM2.5-induced premature deaths during 1999–2014 in SSEA was estimated using an integrated exposure-response model based on 0.01° × 0.01° satellite-retrieved PM2.5 data, population density, and spatially and temporally variable baseline mortality data. The results showed extremely high premature death rates in North India and Bangladesh. PM2.5-induced premature deaths in SSEA increased with small interannual variations from 1999 to 2014 owing to the interannual variations in PM2.5 concentrations. Moreover, four scenarios on the effects of premature deaths by PM2.5 mitigation efforts based on World Health Organization (WHO) air quality guidelines (AQG) and interim targets (ITs) were investigated for each disease and each country during 1999–2014. Four scenarios based on WHO AQG (10 μg/m3), IT-3 (15 μg/m3), IT-2 (25 μg/m3), and IT-1 (35 μg/m3) resulted in 69.3%, 49.1%, 25.4%, and 12.8% reductions compared to the total reference premature deaths (1256,300), which was calculated using the original PM2.5 datasets. Overall, stroke was the most serious disease associated with air pollution, causing 40% of total premature deaths. Ischemic heart disease was the largest contributor (58%) to the deaths in relatively cleaner air (Scenario 1). The annual rate of change in premature deaths in South Asian countries (India, Bangladesh, and Pakistan) was higher than that in Southeast Asian countries under all scenarios. The results for different scenarios provide insight into the largest health benefits of PM2.5 reduction efforts.
Yusheng Shi; Aimei Zhao; Tsuneo Matsunaga; Yasushi Yamaguchi; Shuying Zang; Zhengqiang Li; Tao Yu; Xingfa Gu. Underlying causes of PM2.5-induced premature mortality and potential health benefits of air pollution control in South and Southeast Asia from 1999 to 2014. Environment International 2018, 121, 814 -823.
AMA StyleYusheng Shi, Aimei Zhao, Tsuneo Matsunaga, Yasushi Yamaguchi, Shuying Zang, Zhengqiang Li, Tao Yu, Xingfa Gu. Underlying causes of PM2.5-induced premature mortality and potential health benefits of air pollution control in South and Southeast Asia from 1999 to 2014. Environment International. 2018; 121 ():814-823.
Chicago/Turabian StyleYusheng Shi; Aimei Zhao; Tsuneo Matsunaga; Yasushi Yamaguchi; Shuying Zang; Zhengqiang Li; Tao Yu; Xingfa Gu. 2018. "Underlying causes of PM2.5-induced premature mortality and potential health benefits of air pollution control in South and Southeast Asia from 1999 to 2014." Environment International 121, no. : 814-823.
The dynamics of aboveground biomass (AGB) are driven by both climate variation and anthropogenic modification, however, few studies have evaluated the relative importance of these two drivers, especially in a heterogeneous landscape. Taking the Mongolian Plateau as a case study and employing the vegetation optical depth retrieval as a proxy of AGB, this study aimed to determine the relative importance of climatic and anthropogenic drivers on the dynamics of AGB in Mongolia (ML) and the Inner Mongolia Autonomous Region (IM), China. Spatial panel data model specific to each agro-ecological zone was employed to fulfill the task. The results revealed that: (1) Since the socio-institutional transition in the early 1990s, AGB declined in most parts of the grazing zone of Mongolia. The reduction of precipitation, the rise of temperature and the intensification of livestock grazing were the major drivers behind it. Ranked by their relative importance, the order in the grazing zone with relatively humid climate was: Precipitation ≈ temperature > livestock grazing; the order in the grazing zone with relatively arid climate was: Precipitation > temperature > livestock grazing; (2) Since the implementation of a series of ecological restoration programs in the early 2000s, AGB increased in most parts of the grazing zone of IM, and the increase of precipitation was the dominant driver behind it; (3) Since the early 2000s, AGB increased in most parts of the grazing-farming zone of IM. The increase of precipitation, the decline of temperature and the intensification of grain production were the major drivers behind it. Ranked by their relative importance, the order was: Precipitation > grain production > temperature; (4) Since the early 2000s, AGB increased in most parts of the farming zone of IM. The increase of precipitation and the intensification of grain production were the major drivers behind it. Ranked by their relative importance, the order was: Grain production > precipitation.
Xiang Zhou; Yasushi Yamaguchi. Relative Importance of Climatic and Anthropogenic Drivers on the Dynamics of Aboveground Biomass across Agro-Ecological Zones on the Mongolian Plateau. Sustainability 2018, 10, 3435 .
AMA StyleXiang Zhou, Yasushi Yamaguchi. Relative Importance of Climatic and Anthropogenic Drivers on the Dynamics of Aboveground Biomass across Agro-Ecological Zones on the Mongolian Plateau. Sustainability. 2018; 10 (10):3435.
Chicago/Turabian StyleXiang Zhou; Yasushi Yamaguchi. 2018. "Relative Importance of Climatic and Anthropogenic Drivers on the Dynamics of Aboveground Biomass across Agro-Ecological Zones on the Mongolian Plateau." Sustainability 10, no. 10: 3435.
Fine particulate matter (PM2.5) poses a potential threat to human health, including premature mortality under long-term exposure. Based on a long-term series of high-resolution (0.01° × 0.01°) satellite-retrieved PM2.5 concentrations, this study estimated the premature mortality attributable to PM2.5 in South and Southeast Asia (SSEA) from 1999 to 2014. Then, the long-term trends and spatial characteristics of PM2.5-induced premature deaths (1999–2014) were analyzed using trend analyses and standard deviation ellipses. Results showed the estimated number of PM2.5-induced average annual premature deaths in SSEA was 1,447,000. The numbers increased from 1,179,400 in 1999 to 1,724,900 in 2014, with a growth rate of 38% and net increase of 545,500. Stroke and ischemic heart disease were the two principal contributors, accounting for 39% and 35% of the total, respectively. High values were concentrated in North India, Bangladesh, East Pakistan, and some metropolitan areas of Southeast Asia. An estimated 991,600 deaths in India was quantified (i.e., ~69% of the total premature deaths in SSEA). The long-term trends (1999–2014) of PM2.5-related premature mortality exhibited consistent incremental tendencies in all countries except Sri Lanka. The findings of this study suggest that strict controls of PM2.5 concentrations in SSEA are urgently required.
Yusheng Shi; Tsuneo Matsunaga; Yasushi Yamaguchi; Aimei Zhao; Zhengqiang Li; Xingfa Gu. Long-term trends and spatial patterns of PM2.5-induced premature mortality in South and Southeast Asia from 1999 to 2014. Science of The Total Environment 2018, 631-632, 1504 -1514.
AMA StyleYusheng Shi, Tsuneo Matsunaga, Yasushi Yamaguchi, Aimei Zhao, Zhengqiang Li, Xingfa Gu. Long-term trends and spatial patterns of PM2.5-induced premature mortality in South and Southeast Asia from 1999 to 2014. Science of The Total Environment. 2018; 631-632 ():1504-1514.
Chicago/Turabian StyleYusheng Shi; Tsuneo Matsunaga; Yasushi Yamaguchi; Aimei Zhao; Zhengqiang Li; Xingfa Gu. 2018. "Long-term trends and spatial patterns of PM2.5-induced premature mortality in South and Southeast Asia from 1999 to 2014." Science of The Total Environment 631-632, no. : 1504-1514.
Ongoing global warming has triggered extreme climate events of increasing magnitude and frequency. Under this effect, a series of extreme climate events such as drought and increased rainfall during the El Nino Southern Oscillation (ENSO) are expected to be amplified in the coming years. Adequate mapping of regions with climate-sensitive vegetation and its associated time lag is required for appropriate mitigation planning to avoid potential negative ecological impacts towards vegetation. In this study, ENSO and climate indicator time series data, for example, Multivariate ENSO Index (MEI) and Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) data for rainfall were linked with long-term time series vegetation proxies from remote sensing (RS proxies). ENSO- and rainfall-sensitive areas were identified from each RS proxy using the bivariate Granger test, and the areas identified by multiple RS proxies were taken to identify climate-sensitive regions in Indonesia. Of the biome types in Indonesia, savanna was the most sensitive, with approximately 53% of the total savanna area in Indonesia shown to be sensitive to ENSO and rainfall by two or more RS proxies. Rolling correlation analysis also found that the ENSO effect on the vegetation region after rainfall was positively correlated with the RS proxies with a time lag of +5 months. Therefore, rainfall can be taken as a proxy of the effects of ENSO on the temporal dynamics of sensitive vegetation regions in Indonesia.
Sanjiwana Arjasakusuma; Yasushi Yamaguchi; Yasuhiro Hirano; Xiang Zhou. ENSO- and Rainfall-Sensitive Vegetation Regions in Indonesia as Identified from Multi-Sensor Remote Sensing Data. ISPRS International Journal of Geo-Information 2018, 7, 103 .
AMA StyleSanjiwana Arjasakusuma, Yasushi Yamaguchi, Yasuhiro Hirano, Xiang Zhou. ENSO- and Rainfall-Sensitive Vegetation Regions in Indonesia as Identified from Multi-Sensor Remote Sensing Data. ISPRS International Journal of Geo-Information. 2018; 7 (3):103.
Chicago/Turabian StyleSanjiwana Arjasakusuma; Yasushi Yamaguchi; Yasuhiro Hirano; Xiang Zhou. 2018. "ENSO- and Rainfall-Sensitive Vegetation Regions in Indonesia as Identified from Multi-Sensor Remote Sensing Data." ISPRS International Journal of Geo-Information 7, no. 3: 103.
Fine particulate matter, or PM, is a serious air pollutant and has significant effects on human health, including premature death. Based on a long-term series of satellite-retrieved PM concentrations, this study analyzed the spatial and temporal characteristics of PM in South and Southeast Asia (SSEA) from 1999 to 2014 using standard deviation ellipse and trend analyses. A health risk assessment of human exposure to PM between 1999 and 2014 was then undertaken. The results show that PM concentrations increased in most areas of SSEA from 1999 to 2014 and exceeded the World Health Organization average annual limit of primary PM standards. Bangladesh, Pakistan and India experienced average PM values higher than the total average for SSEA. From 1999 to 2014, the entirety of SSEA exhibited an increased rate of 0.02μg/m/year on average. Bangladesh and Myanmar witnessed greater incremental rates of PM than India. Correspondingly, the center of the average regional PM concentration gradually shifted to the southeast during the study period. The proportion of areas with PM concentrations exceeding 35μg/m increased consistently, and the areas with PM concentrations below 15μg/m decreased continuously. The proportion of the population exposed to high PM (above 35μg/m) increased annually. The extent of high-health-risk areas in SSEA expanded in size and extent between 1999 and 2014, particularly in North India, Bangladesh and East Pakistan. Therefore, all of SSEA should receive special attention, and strict controls on PM concentrations in SSEA countries are urgently required.
Yusheng Shi; Tsuneo Matsunaga; Yasushi Yamaguchi; Zhengqiang Li; Xingfa Gu; Xuehong Chen. Long-term trends and spatial patterns of satellite-retrieved PM2.5 concentrations in South and Southeast Asia from 1999 to 2014. Science of The Total Environment 2018, 615, 177 -186.
AMA StyleYusheng Shi, Tsuneo Matsunaga, Yasushi Yamaguchi, Zhengqiang Li, Xingfa Gu, Xuehong Chen. Long-term trends and spatial patterns of satellite-retrieved PM2.5 concentrations in South and Southeast Asia from 1999 to 2014. Science of The Total Environment. 2018; 615 ():177-186.
Chicago/Turabian StyleYusheng Shi; Tsuneo Matsunaga; Yasushi Yamaguchi; Zhengqiang Li; Xingfa Gu; Xuehong Chen. 2018. "Long-term trends and spatial patterns of satellite-retrieved PM2.5 concentrations in South and Southeast Asia from 1999 to 2014." Science of The Total Environment 615, no. : 177-186.
Normalized difference vegetation index (NDVI) has been widely applied for monitoring vegetation dynamics. However, NDVI values are known to be profoundly affected by various external factors. In this study, the variation of NDVI values and trends among the several long-term NDVI datasets with resolution of 1, 4 and 8 km were assessed to understand the differences between the available datasets. The assessment items were 1) Pearson’s correlation coefficient, 2) trend map and breakpoint spatial similarities and 3) comparison of NDVI from Landsat and Flux tower in 2007–2015. The comparison revealed a maximum correlation coefficient of 0.67 among NDVI datasets and average spatial similarity of 37.2% among the trend maps estimated from NDVI datasets. Furthermore, there was a possibility of having significantly opposite trends between two trend maps from different NDVI products. Comparisons with NDVI from vegetation pixel in Landsat 5 TM and 8 OLI resulted in the R2 between 0.06 and 0.68 and RMSE of 0.07–0.2, while comparison with NDVI from flux tower data yielded the RMSE of 0.04–0.41, although the R2 was relatively weak at 0–0.18. Our study highlights the possibility of differences among NDVI datasets, and suggests that these differences should be reconciled especially in time-series analysis.
Sanjiwana Arjasakusuma; Yasushi Yamaguchi; Tatsuro Nakaji; Yoshiko Kosugi; Siti-Aisah Shamsuddin; Marryanna Lion. Assessment of values and trends in coarse spatial resolution NDVI datasets in Southeast Asia landscapes. European Journal of Remote Sensing 2018, 51, 863 -877.
AMA StyleSanjiwana Arjasakusuma, Yasushi Yamaguchi, Tatsuro Nakaji, Yoshiko Kosugi, Siti-Aisah Shamsuddin, Marryanna Lion. Assessment of values and trends in coarse spatial resolution NDVI datasets in Southeast Asia landscapes. European Journal of Remote Sensing. 2018; 51 (1):863-877.
Chicago/Turabian StyleSanjiwana Arjasakusuma; Yasushi Yamaguchi; Tatsuro Nakaji; Yoshiko Kosugi; Siti-Aisah Shamsuddin; Marryanna Lion. 2018. "Assessment of values and trends in coarse spatial resolution NDVI datasets in Southeast Asia landscapes." European Journal of Remote Sensing 51, no. 1: 863-877.
Distinguishing the vegetation dynamics induced by anthropogenic factors and identifying the major drivers can provide crucial information for designing actionable and practical countermeasures to restore degraded grassland ecosystems. Based on the residual trend (RESTREND) method, this study distinguished the vegetation dynamics induced by anthropogenic factors from the effects of climate variability on the Mongolian Plateau during 1993–2012 using vegetation optical depth (VOD) and normalized difference vegetation index (NDVI), which measure vegetation water content in aboveground biomass and chlorophyll abundance in canopy cover respectively; afterwards, the major drivers within different agricultural zones and socio-institutional periods were identified by integrating agricultural statistics with statistical analysis techniques. The results showed that grasslands in Mongolia and the grazing zone of Inner Mongolia Autonomous Region (IMAR), China underwent a significant human-induced decrease in aboveground biomass during 1993–2012 and 1993–2000 respectively, which was attributable to the rapid growth of livestock densities stimulated by livestock privatization and market factors; by contrast, grasslands in these two regions did not experience a concurrent human-induced reduction in canopy greenness. Besides, the results indicated that grasslands in the grazing zone of IMAR underwent a significant human-induced increase in aboveground biomass since 2000, which was attributable to the reduced grazing pressure induced by China's ecological restoration programs; concurrently, grasslands in this region also experienced a remarkable increase in canopy greenness, however, this increase was found not directly caused by the decreased stocking densities. Furthermore, the results revealed that the farming and semi-grazing/farming zone of IMAR underwent a significant human-induced increase in both aboveground biomass and canopy greenness since 2000, which was attributable to the intensified grain production stimulated by market factors, open grazing regulation and confined feeding popularization. These findings suggest that China's grassland restoration practice has important implications for Mongolia to reverse the severe and continuous grassland degradation in the future.
Xiang Zhou; Yasushi Yamaguchi; Sanjiwana Arjasakusuma. Distinguishing the vegetation dynamics induced by anthropogenic factors using vegetation optical depth and AVHRR NDVI: A cross-border study on the Mongolian Plateau. Science of The Total Environment 2017, 616-617, 730 -743.
AMA StyleXiang Zhou, Yasushi Yamaguchi, Sanjiwana Arjasakusuma. Distinguishing the vegetation dynamics induced by anthropogenic factors using vegetation optical depth and AVHRR NDVI: A cross-border study on the Mongolian Plateau. Science of The Total Environment. 2017; 616-617 ():730-743.
Chicago/Turabian StyleXiang Zhou; Yasushi Yamaguchi; Sanjiwana Arjasakusuma. 2017. "Distinguishing the vegetation dynamics induced by anthropogenic factors using vegetation optical depth and AVHRR NDVI: A cross-border study on the Mongolian Plateau." Science of The Total Environment 616-617, no. : 730-743.
Riparian regions in Siberia have experienced extreme floods in the last decade because winter precipitation has increased. However, detailed statistical information about spring floods is lacking. Remote sensing is an ideal tool for collecting data over large areas. The objective is to evaluate the relative usefulness and limitations of multiple satellite sensors for monitoring spring flooding across the entire Lena River. Spring floods progress at a speed of ~100 km day−1 during the snowmelt period, expanding the width of the floodplain from several kilometers upstream to several tens of kilometers downstream. The 30-m-resolution Landsat and 500-m-resolution MODIS were sufficient to monitor the spatial extent of the flood. However, the upstream floodplain was too narrow to detect using 25-km-resolution AMSR-E. The AMSR-E was barely able to detect the presence or absence of floods at midstream. However, the AMSR-E microwave sensor could monitor day-to-day variation of spring floods. Images from optical sensors such as Landsat and MODIS were considerably limited by cloud cover. The 10-m-resolution PALSAR was unable to monitor spring floods during the 5-year operational period, because the temporal resolution of 46 days was insufficient to monitor floods. It was sometimes possible to obtain meaningful results from a single remote sensor, but it was impossible to fully understand spring flood behavior over the entire Lena River. An assemblage of sensors with different spatial, temporal, and spectral resolutions would be helpful for flood risk management.
Toru Sakai; Hiroki Takakura; Makoto Okumura; Sigemi Hatta; Yasuhiro Yosikawa; Tetsuya Hiyama; Yasushi Yamaguchi. Monitoring Spring Floods on the Lena River Using Multiple Satellite Sensors. The Water-Energy-Food Nexus 2017, 53 -69.
AMA StyleToru Sakai, Hiroki Takakura, Makoto Okumura, Sigemi Hatta, Yasuhiro Yosikawa, Tetsuya Hiyama, Yasushi Yamaguchi. Monitoring Spring Floods on the Lena River Using Multiple Satellite Sensors. The Water-Energy-Food Nexus. 2017; ():53-69.
Chicago/Turabian StyleToru Sakai; Hiroki Takakura; Makoto Okumura; Sigemi Hatta; Yasuhiro Yosikawa; Tetsuya Hiyama; Yasushi Yamaguchi. 2017. "Monitoring Spring Floods on the Lena River Using Multiple Satellite Sensors." The Water-Energy-Food Nexus , no. : 53-69.
Mare basalts provide insights into the composition and thermal history of the lunar mantle. The ages of mare basalts suggest a first peak of magma activity at 3.2–3.8 Ga and a second peak at ~2 Ga. In this study, we reassess the correlation between the titanium contents and the eruption ages of mare basalt units using the compositional and chronological data updated by SELENE (Kaguya). Using morphological and geological criteria, we calculated the titanium content of 261 mare units across a representative area of each mare unit. In the Procellarum KREEP Terrane, where the latest eruptions are located, an increase in the mean titanium content is observed during the Eratosthenian period, as reported by previous studies. We found that the increase in the mean titanium content occurred within a relatively short period near approximately 2.3 Ga, suggesting that the magma source of the mare basalts changed at this particular age. Moreover, the high‐titanium basaltic eruptions are correlated with a second peak in volcanic activity near ~2 Ga. The high‐titanium basaltic eruptions occurring during the last volcanic activity period can be explained by the three possible scenarios (1) the ilmenite‐bearing cumulate rich layer in the core‐mantle boundary formed after the mantle overturn, (2) the basaltic material layers beneath the lunar crust formed through upwelling magmas, and (3) ilmenite‐bearing cumulate blocks remained in the upper mantle after the mantle overturn.
Shinsuke Kato; Tomokatsu Morota; Yasushi Yamaguchi; Sei-Ichiro Watanabe; Hisashi Otake; Makiko Ohtake. Magma source transition of lunar mare volcanism at 2.3 Ga. Meteoritics & Planetary Science 2017, 52, 1899 -1915.
AMA StyleShinsuke Kato, Tomokatsu Morota, Yasushi Yamaguchi, Sei-Ichiro Watanabe, Hisashi Otake, Makiko Ohtake. Magma source transition of lunar mare volcanism at 2.3 Ga. Meteoritics & Planetary Science. 2017; 52 (9):1899-1915.
Chicago/Turabian StyleShinsuke Kato; Tomokatsu Morota; Yasushi Yamaguchi; Sei-Ichiro Watanabe; Hisashi Otake; Makiko Ohtake. 2017. "Magma source transition of lunar mare volcanism at 2.3 Ga." Meteoritics & Planetary Science 52, no. 9: 1899-1915.
Shuho Noda; Yasushi Yamaguchi. Estimation of surface iron oxide abundance with suppression of grain size and topography effects. Ore Geology Reviews 2017, 83, 312 -320.
AMA StyleShuho Noda, Yasushi Yamaguchi. Estimation of surface iron oxide abundance with suppression of grain size and topography effects. Ore Geology Reviews. 2017; 83 ():312-320.
Chicago/Turabian StyleShuho Noda; Yasushi Yamaguchi. 2017. "Estimation of surface iron oxide abundance with suppression of grain size and topography effects." Ore Geology Reviews 83, no. : 312-320.
Droughts are projected to increase in severity and frequency on both regional and global scales. Despite the increasing occurrence and intensity of the 2009/2010 drought in southwestern China, the impacts of drought on vegetation in this region remain unclear. We examined the impacts of the 2009/2010 drought in southwestern China on vegetation by calculating the standardized anomalies of Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Normalized Difference Water Index (NDWI), and Land Surface Temperature (LST). The standardized anomalies of NDVI, EVI, and NDWI exhibited positively skewed frequency distributions, while the standardized anomalies of LST exhibited a negatively skewed frequency distribution. These results implied that the NDVI, EVI, and NDWI declined, while LST increased in the 2009/2010 drought-stricken vegetated areas during the drought period. The responses of vegetation to the 2009/2010 drought differed substantially among biomes. Savannas, croplands, and mixed forests were more vulnerable to the 2009/2010 drought than deciduous forest and grasslands, while evergreen forest was resistant to the 2009/2010 drought in southwestern China. We concluded that the 2009/2010 drought had negative impacts on vegetation in southwestern China. The resulting assessment on the impacts of drought assists in evaluating and mitigating its adverse effects in southwestern China.
Xiaoqiang Zhang; Yasushi Yamaguchi; Fei Li; Bin He; Yaning Chen. Assessing the Impacts of the 2009/2010 Drought on Vegetation Indices, Normalized Difference Water Index, and Land Surface Temperature in Southwestern China. Advances in Meteorology 2017, 2017, 1 -9.
AMA StyleXiaoqiang Zhang, Yasushi Yamaguchi, Fei Li, Bin He, Yaning Chen. Assessing the Impacts of the 2009/2010 Drought on Vegetation Indices, Normalized Difference Water Index, and Land Surface Temperature in Southwestern China. Advances in Meteorology. 2017; 2017 ():1-9.
Chicago/Turabian StyleXiaoqiang Zhang; Yasushi Yamaguchi; Fei Li; Bin He; Yaning Chen. 2017. "Assessing the Impacts of the 2009/2010 Drought on Vegetation Indices, Normalized Difference Water Index, and Land Surface Temperature in Southwestern China." Advances in Meteorology 2017, no. : 1-9.