Pub Date : 2023-03-31DOI: 10.11922/11-6035.csd.2023.0032.zh
Yu Zhang, Juanle Wang
The Mongolian Plateau is one of the cradles of sandstorms in Asia, among which the Gobi region of Mongolia and the desert region of western Inner Mongolia are to blame for the frequent sandstorms in China and Mongolia in recent years. First, based on meteorological observation data about sandstorms and text data of news events, we collected 76 sandstorm events on the Mongolian Plateau from 2000 to 2021 in the study. Second, we downloaded MODIS data of corresponding spatiotemporal regions, which were screened and processed in combination with the cloud size. And we preprocessed the MODIS data for geometric correction with MRTK plugin in the ENVI software. Then, we constructed the DSDI of dust index and extracted the spatial distribution information of dust to obtain the of spring sandstorm distribution of Mongolian Plateau. With the ArcGIS software for random selection of verification points, we used the station record, text data, image enhancement, visual interpretation to complete the accuracy evaluation. The overall classification accuracy reaches 85.24% with a Kappa coefficient of 0.7636. This dataset can directly reflect the spatial distribution of sandstorms on the Mongolian Plateau, which can provide detailed and reliable data support for the control of sandstorm disasters. At the same time, it can also back up decision-making process of controlling the risk of sandstorm disasters on the Mongolian Plateau.
{"title":"A dataset of spring sandstorm distribution on the Mongolian Plateau (2000-2021)","authors":"Yu Zhang, Juanle Wang","doi":"10.11922/11-6035.csd.2023.0032.zh","DOIUrl":"https://doi.org/10.11922/11-6035.csd.2023.0032.zh","url":null,"abstract":"The Mongolian Plateau is one of the cradles of sandstorms in Asia, among which the Gobi region of Mongolia and the desert region of western Inner Mongolia are to blame for the frequent sandstorms in China and Mongolia in recent years. First, based on meteorological observation data about sandstorms and text data of news events, we collected 76 sandstorm events on the Mongolian Plateau from 2000 to 2021 in the study. Second, we downloaded MODIS data of corresponding spatiotemporal regions, which were screened and processed in combination with the cloud size. And we preprocessed the MODIS data for geometric correction with MRTK plugin in the ENVI software. Then, we constructed the DSDI of dust index and extracted the spatial distribution information of dust to obtain the of spring sandstorm distribution of Mongolian Plateau. With the ArcGIS software for random selection of verification points, we used the station record, text data, image enhancement, visual interpretation to complete the accuracy evaluation. The overall classification accuracy reaches 85.24% with a Kappa coefficient of 0.7636. This dataset can directly reflect the spatial distribution of sandstorms on the Mongolian Plateau, which can provide detailed and reliable data support for the control of sandstorm disasters. At the same time, it can also back up decision-making process of controlling the risk of sandstorm disasters on the Mongolian Plateau.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41333965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The abundance of widely-developed carbonate rocks of the Leikoupo Formation in Central Sichuan Basin shows good exploration prospects and great exploration potential. Carbonate reservoirs in central Sichuan Basin are well formed, and various pores are well developed and preserved. Supergene dissolution, buried dissolution, and dolomitization have improved reservoir physical properties and is conducive to the reservoir permeability. Pore types including intragranular dissolved pores, intergranular dissolved pores, mold pores, etc. brings out connected dissolution fractures. At the top, a good paleoweathering crust reservoir is formed under karstification. By collecting the strata of Leikoupo Formation encountered in Well LG 19, Well LG 173, Well ZT 1, Well TN 112, Well Y 105, and Well PL 19 in the Central Sichuan Basin as the research object, we produced a dataset of rock micro thin section data. Leikoupo Formation in the Central Sichuan Basin is mainly composed of algal laminar dolomite, sandy dolomite, and breccia dolomite. The sedimentary facies are carbonate evaporation limited platform facies. The subfacies can be divided into tidal flat and intra platform beach subfacies. The tidal flat has microfacies such as cloud flat and gypsum cloud flat. And the intra platform beach can be subdivided into bioclastic beach and sandy beach. This dataset can be used to divide the sedimentary microfacies of the Leikoupo Formation in this area, study the control of the formation and distribution of micro relative reservoirs, determine the favorable reservoir microfacies, and provide effective guidance for oil and gas exploration and development. The image dataset can further provide basic data support for the production of machine learning image dataset.
{"title":"A dataset of microscopic images of carbonate rocks of Leikoupo Formation of Middle Triassic in the Central Sichuan","authors":"Keran Li, Jinmin Song, Shu-gen Liu, Yuannan Feng, Zhi-wu Li, Xin Jin, Jian-Hao Fan, Wei Chen","doi":"10.11922/11-6035.csd.2021.0054.zh","DOIUrl":"https://doi.org/10.11922/11-6035.csd.2021.0054.zh","url":null,"abstract":"The abundance of widely-developed carbonate rocks of the Leikoupo Formation in Central Sichuan Basin shows good exploration prospects and great exploration potential. Carbonate reservoirs in central Sichuan Basin are well formed, and various pores are well developed and preserved. Supergene dissolution, buried dissolution, and dolomitization have improved reservoir physical properties and is conducive to the reservoir permeability. Pore types including intragranular dissolved pores, intergranular dissolved pores, mold pores, etc. brings out connected dissolution fractures. At the top, a good paleoweathering crust reservoir is formed under karstification. By collecting the strata of Leikoupo Formation encountered in Well LG 19, Well LG 173, Well ZT 1, Well TN 112, Well Y 105, and Well PL 19 in the Central Sichuan Basin as the research object, we produced a dataset of rock micro thin section data. Leikoupo Formation in the Central Sichuan Basin is mainly composed of algal laminar dolomite, sandy dolomite, and breccia dolomite. The sedimentary facies are carbonate evaporation limited platform facies. The subfacies can be divided into tidal flat and intra platform beach subfacies. The tidal flat has microfacies such as cloud flat and gypsum cloud flat. And the intra platform beach can be subdivided into bioclastic beach and sandy beach. This dataset can be used to divide the sedimentary microfacies of the Leikoupo Formation in this area, study the control of the formation and distribution of micro relative reservoirs, determine the favorable reservoir microfacies, and provide effective guidance for oil and gas exploration and development. The image dataset can further provide basic data support for the production of machine learning image dataset.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41352490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.11922/11-6035.csd.2022.0072.zh
Hongbin Huang, Jiao Sun, Hui Wei, Kaiming Xiao, Mao Wang, Xuan Li
The text dataset of the military field is the basis for event extraction in the military field, and the datasets of high quality can effectively promote the study of event extraction in this field. However, the event extraction dataset commonly used in the real world (such as ACE2005, etc.) is oriented to the general field, and the text corpus resources on military events are scarce. Therefore, we collected a large amount of military news content from public military news websites. Firstly, on the basis of text content analysis, we first established an event model of military news including event types, entity types and entity relationship types. Secondly, we manually labeled the text data according to the event model, which was iteratively verified and corrected simultaneously. Finally, we obtained dataset of 13,000 high-quality military news events with a full variety of labels. We make this military news event dataset publicly available in this paper.
{"title":"A dataset of domain events based on open-source military news","authors":"Hongbin Huang, Jiao Sun, Hui Wei, Kaiming Xiao, Mao Wang, Xuan Li","doi":"10.11922/11-6035.csd.2022.0072.zh","DOIUrl":"https://doi.org/10.11922/11-6035.csd.2022.0072.zh","url":null,"abstract":"The text dataset of the military field is the basis for event extraction in the military field, and the datasets of high quality can effectively promote the study of event extraction in this field. However, the event extraction dataset commonly used in the real world (such as ACE2005, etc.) is oriented to the general field, and the text corpus resources on military events are scarce. Therefore, we collected a large amount of military news content from public military news websites. Firstly, on the basis of text content analysis, we first established an event model of military news including event types, entity types and entity relationship types. Secondly, we manually labeled the text data according to the event model, which was iteratively verified and corrected simultaneously. Finally, we obtained dataset of 13,000 high-quality military news events with a full variety of labels. We make this military news event dataset publicly available in this paper.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48968800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-31DOI: 10.11922/11-6035.ncdc.2023.0002.zh
Lihua Kong, Shushu Chen, Yan Xi, Xue Lei, Lin Zeng, Yangqin Lang, Yuanchun Zhou, Xiaomin Liu, Yang Wang
As an important output of scientific research, scientific data play an important role in scholarly communication. The establishment of the data policy of STM journals is of great significance to promote the data sharing, data reuse, data citation and scientific research evaluation. In this paper, by means of literature research and online research and based on the information published on journal websites, we surveyed the data policies operation status of 302 STM journals that were selected as the leading journals, key journals, and echelon journals in the Excellence Action Plan for China's STM Journals. Then we statistically analyzed the data policy setting, and the features of the policy, such as classification types, data availability, and data citation. The survey shows the current practice progress of China’s high-level STM journals related to scientific data publishing. Among the statistical journal sources, 81.82% of leading journals, 62.07% of key journals, 34.67% of echelon journals and 69.23% of high-starting new journals have formulated relevant data policies. According to survey results, the publication of data in STM journals has been widely recognized as one of the effective ways to promote scientific data sharing. Presently, all major publishing institutions have developed relevant data policies. Compared with the international counterparts, the data publishing of China’s STM journals still has a long way to go in industry recognition and framework strategy, and it is urgent to develop a universal data policy framework for different journals and publishers.
{"title":"Survey and analysis of the data policy of the journals listed in the Excellence Action Plan for China's STM Journals Program for example","authors":"Lihua Kong, Shushu Chen, Yan Xi, Xue Lei, Lin Zeng, Yangqin Lang, Yuanchun Zhou, Xiaomin Liu, Yang Wang","doi":"10.11922/11-6035.ncdc.2023.0002.zh","DOIUrl":"https://doi.org/10.11922/11-6035.ncdc.2023.0002.zh","url":null,"abstract":"As an important output of scientific research, scientific data play an important role in scholarly communication. The establishment of the data policy of STM journals is of great significance to promote the data sharing, data reuse, data citation and scientific research evaluation. In this paper, by means of literature research and online research and based on the information published on journal websites, we surveyed the data policies operation status of 302 STM journals that were selected as the leading journals, key journals, and echelon journals in the Excellence Action Plan for China's STM Journals. Then we statistically analyzed the data policy setting, and the features of the policy, such as classification types, data availability, and data citation. The survey shows the current practice progress of China’s high-level STM journals related to scientific data publishing. Among the statistical journal sources, 81.82% of leading journals, 62.07% of key journals, 34.67% of echelon journals and 69.23% of high-starting new journals have formulated relevant data policies. According to survey results, the publication of data in STM journals has been widely recognized as one of the effective ways to promote scientific data sharing. Presently, all major publishing institutions have developed relevant data policies. Compared with the international counterparts, the data publishing of China’s STM journals still has a long way to go in industry recognition and framework strategy, and it is urgent to develop a universal data policy framework for different journals and publishers.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43247445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-31DOI: 10.11922/11-6035.ncdc.2021.0024.zh
Jianfang Kang, Yaonan Zhang, Chun Liu
The Yellow River basin, bordering Kunlun in the west, Yinshan in the north, Qinling in the south and Bohai in the east, flows through nine provinces in China. As an important ecological security barrier area, residential area and economic development area in China, it plays a pivotal strategic role in the national development layout and socialist modernization. Based on historical paper and network data from 103 counties and districts of the nine provinces in the basin, this dataset is composed of 28 subsets, including the data on population (the total population, urban population distribution, ethnic habitat and population, gender structure), economy (per capita disposable income of urban residents , investment in fixed assets), agriculture (cultivated land area, grain planting area, wheat planting area, corn planting area, cotton planting area, oil plant planting area, grain output, the output of meat, eggs and milk products, aquatic product output, gross output value and index of agriculture, forestry, animal husbandry and fishery), industry (the number of industrial enterprises above designated size, the number of large and medium-sized industrial enterprises, the number of state-owned industrial enterprises, the number of private industrial enterprises, the output of major industrial products, industrial profits above scale, added value of the construction sector), urban and rural areas (urban and rural overall planning, overall planning and near-term construction plan of economic development zones, urban control detailed planning, power consumption) as well as tourism (the red culture along the Yellow River). This dataset is expected to provide data support for ecological protection and high-quality development of the Yellow River Basin.
{"title":"A dataset of human culture and economy in the Yellow River Basin during 2015–2019","authors":"Jianfang Kang, Yaonan Zhang, Chun Liu","doi":"10.11922/11-6035.ncdc.2021.0024.zh","DOIUrl":"https://doi.org/10.11922/11-6035.ncdc.2021.0024.zh","url":null,"abstract":"The Yellow River basin, bordering Kunlun in the west, Yinshan in the north, Qinling in the south and Bohai in the east, flows through nine provinces in China. As an important ecological security barrier area, residential area and economic development area in China, it plays a pivotal strategic role in the national development layout and socialist modernization. Based on historical paper and network data from 103 counties and districts of the nine provinces in the basin, this dataset is composed of 28 subsets, including the data on population (the total population, urban population distribution, ethnic habitat and population, gender structure), economy (per capita disposable income of urban residents , investment in fixed assets), agriculture (cultivated land area, grain planting area, wheat planting area, corn planting area, cotton planting area, oil plant planting area, grain output, the output of meat, eggs and milk products, aquatic product output, gross output value and index of agriculture, forestry, animal husbandry and fishery), industry (the number of industrial enterprises above designated size, the number of large and medium-sized industrial enterprises, the number of state-owned industrial enterprises, the number of private industrial enterprises, the output of major industrial products, industrial profits above scale, added value of the construction sector), urban and rural areas (urban and rural overall planning, overall planning and near-term construction plan of economic development zones, urban control detailed planning, power consumption) as well as tourism (the red culture along the Yellow River). This dataset is expected to provide data support for ecological protection and high-quality development of the Yellow River Basin.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48554136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Evergreen broad-leaved forests are one of the main types of Chinese forests. The meteorological data of them are of great value for the study on the function and ecological process of evergreen broad-leaved forest ecosystem, and can serve as a major data source for weather forecast and disaster warning. Zhejiang Tiantong National Forest Ecosystem Observation and Research Station located in the subtropical broad-leaved evergreen forest in Tiantong Forest Park in eastern China. Since April 2003, we had collected long-term meteorological data by setting up the automatic meteorological observation system. This dataset contains the monthly data (177 entries) and annual data (15 entries) from 2013 to 2017, including 18 meteorological observation indexes, such as atmospheric temperature, atmospheric humidity, precipitation, atmospheric pressure, total radiation, net radiation, reflected radiation, UV radiation, photosynthetically active radiation, sunshine hours and soil temperature in different depths (0 cm, 5 cm, 10 cm, 15 cm, 20 cm, 40 cm, 60 cm and 100 cm). It is expected to provide data support for studying the ecological process, evaluating ecosystem service function and increasing disaster warning accuracy of local forests in Tiantong zone.
{"title":"A dataset of meteorological observations at Zhejiang Tiantong National Forest Ecosystem Observation and Research Station (2003 – 2017)","authors":"Shan-Qun Jiang, Heming Liu, Zemei Zheng, Haibo Yang, Fang-fang Yao, Xihua Wang, Enrong Yan","doi":"10.11922/11-6035.csd.2022.0078.zh","DOIUrl":"https://doi.org/10.11922/11-6035.csd.2022.0078.zh","url":null,"abstract":"Evergreen broad-leaved forests are one of the main types of Chinese forests. The meteorological data of them are of great value for the study on the function and ecological process of evergreen broad-leaved forest ecosystem, and can serve as a major data source for weather forecast and disaster warning. Zhejiang Tiantong National Forest Ecosystem Observation and Research Station located in the subtropical broad-leaved evergreen forest in Tiantong Forest Park in eastern China. Since April 2003, we had collected long-term meteorological data by setting up the automatic meteorological observation system. This dataset contains the monthly data (177 entries) and annual data (15 entries) from 2013 to 2017, including 18 meteorological observation indexes, such as atmospheric temperature, atmospheric humidity, precipitation, atmospheric pressure, total radiation, net radiation, reflected radiation, UV radiation, photosynthetically active radiation, sunshine hours and soil temperature in different depths (0 cm, 5 cm, 10 cm, 15 cm, 20 cm, 40 cm, 60 cm and 100 cm). It is expected to provide data support for studying the ecological process, evaluating ecosystem service function and increasing disaster warning accuracy of local forests in Tiantong zone.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47120060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-31DOI: 10.11922/11-6035.ncdc.2021.0019.zh
C. Cheng, Haijing Shi, Shaowei Zhang, J. Shui, X. Cao
As an important ecological barrier in China, the Yellow River Basin is characterized by fragile ecological environment and serious soil erosion. The hydrological analysis plays an important role in soil and water conservation and ecological environment protection in this area. This dataset contains four factors for hydrological analysis, namely flow direction, flow length and stream network. The data are sourced from the ALOS 12.5 m DEMs, which were then processed through preprocessing, framing, projection, mosaic and hydrological analysis and calculation. Compared with data products of the same.
黄河流域是我国重要的生态屏障，生态环境脆弱，水土流失严重。水文分析在该地区水土保持和生态环境保护中发挥着重要作用。该数据集包含四个水文分析因素，即流向、流量长度和河网。数据来源于ALOS 12.5 m DEM，然后通过预处理、成帧、投影、镶嵌以及水文分析和计算对其进行处理。与同类数据产品相比。
{"title":"A dataset of hydrogeomorphic quantitative analysis with 12.5 m spatial resolution in the Yellow River Basin","authors":"C. Cheng, Haijing Shi, Shaowei Zhang, J. Shui, X. Cao","doi":"10.11922/11-6035.ncdc.2021.0019.zh","DOIUrl":"https://doi.org/10.11922/11-6035.ncdc.2021.0019.zh","url":null,"abstract":"As an important ecological barrier in China, the Yellow River Basin is characterized by fragile ecological environment and serious soil erosion. The hydrological analysis plays an important role in soil and water conservation and ecological environment protection in this area. This dataset contains four factors for hydrological analysis, namely flow direction, flow length and stream network. The data are sourced from the ALOS 12.5 m DEMs, which were then processed through preprocessing, framing, projection, mosaic and hydrological analysis and calculation. Compared with data products of the same.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41723001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-31DOI: 10.11922/11-6035.noda.2022.0001.zh
Xuqiang Zhou, Zhaofei Wen
As an important geographical position in China, the middle and lower reaches of the Yangtze River play an important role in the construction and development of the Yangtze River Economic Belt. The evolution of mid-channel bar (MCB) has a good reference value for wetland protection and waterway safety, and the dynamic changes of vegetation on the continent are also crucial for river ecosystem functions and related ecosystem services. In this paper, based on the Landsat image data from 1987 to 2020, we used the ArcGIS software to synthesize the bands and improved the normalized differential water index method and the object-oriented classification method, so as to obtain the forms of MCB and some vegetation classification vectors on the continents in the middle and lower reaches of the Yangtze River in the past 30 years. In addition, we compared the data with high spatial resolution images to verify the accuracy and reliability of the data. This dataset can be used for analysis of the evolution of MCB in the middle and lower reaches of the Yangtze River, analysis of the impact of environmental factors, and research on landscape pattern changes.
{"title":"A dataset of mid-channel bar forms and some mid-channel bars vegetation classification in the middle and lower reaches of the Yangtze River (1987–2020)","authors":"Xuqiang Zhou, Zhaofei Wen","doi":"10.11922/11-6035.noda.2022.0001.zh","DOIUrl":"https://doi.org/10.11922/11-6035.noda.2022.0001.zh","url":null,"abstract":"As an important geographical position in China, the middle and lower reaches of the Yangtze River play an important role in the construction and development of the Yangtze River Economic Belt. The evolution of mid-channel bar (MCB) has a good reference value for wetland protection and waterway safety, and the dynamic changes of vegetation on the continent are also crucial for river ecosystem functions and related ecosystem services. In this paper, based on the Landsat image data from 1987 to 2020, we used the ArcGIS software to synthesize the bands and improved the normalized differential water index method and the object-oriented classification method, so as to obtain the forms of MCB and some vegetation classification vectors on the continents in the middle and lower reaches of the Yangtze River in the past 30 years. In addition, we compared the data with high spatial resolution images to verify the accuracy and reliability of the data. This dataset can be used for analysis of the evolution of MCB in the middle and lower reaches of the Yangtze River, analysis of the impact of environmental factors, and research on landscape pattern changes.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49143044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-31DOI: 10.11922/11-6035.noda.2022.0011.zh
Li Zhang, Yongqiang Tang, Jingying Lin, Min Yan, Jingjuan Liao
The rapid development of aquaculture has caused certain social and environmental problems. Periodically monitoring the distribution and dynamic changes of aquaculture in coastal areas is of great significance for environmental protection.In this study, a total of 9 periods of Landsat TM/OLI data from 1987, 1990, 1995, 2000, 2005, 2010, 2015, 2018, 2020, combined with Google Earth images and field research data, were used to obtain an object-oriented classification method combining the threshold method to obtain the 1987 The data set of farming pond changes in Hainan Island in the years 1987-2020 was obtained by using an object-oriented classification method combined with the threshold method.The overall classification accuracy of this dataset is over 95%. It can be used for analysis of temporal and spatial changes in aquaculture ponds, as well as decision-making support for the site selection, management and utilization of aquaculture ponds. It is expected to provide data support for the sustainable development of aquaculture and ecological environment monitoring in Hainan Province.
{"title":"A dataset of aquaculture ponds in Hainan Island based on Landsat data during 1987–2020","authors":"Li Zhang, Yongqiang Tang, Jingying Lin, Min Yan, Jingjuan Liao","doi":"10.11922/11-6035.noda.2022.0011.zh","DOIUrl":"https://doi.org/10.11922/11-6035.noda.2022.0011.zh","url":null,"abstract":"The rapid development of aquaculture has caused certain social and environmental problems. Periodically monitoring the distribution and dynamic changes of aquaculture in coastal areas is of great significance for environmental protection.In this study, a total of 9 periods of Landsat TM/OLI data from 1987, 1990, 1995, 2000, 2005, 2010, 2015, 2018, 2020, combined with Google Earth images and field research data, were used to obtain an object-oriented classification method combining the threshold method to obtain the 1987 The data set of farming pond changes in Hainan Island in the years 1987-2020 was obtained by using an object-oriented classification method combined with the threshold method.The overall classification accuracy of this dataset is over 95%. It can be used for analysis of temporal and spatial changes in aquaculture ponds, as well as decision-making support for the site selection, management and utilization of aquaculture ponds. It is expected to provide data support for the sustainable development of aquaculture and ecological environment monitoring in Hainan Province.","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43423968","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-31DOI: 10.11922/11-6035.ncdc.2021.0034.zh
Meirong Gao, Yaonan Zhang, Jianfang Kang
{"title":"A dataset of Inner Mongolian soil species based on the Second National Soil Survey","authors":"Meirong Gao, Yaonan Zhang, Jianfang Kang","doi":"10.11922/11-6035.ncdc.2021.0034.zh","DOIUrl":"https://doi.org/10.11922/11-6035.ncdc.2021.0034.zh","url":null,"abstract":"","PeriodicalId":57643,"journal":{"name":"China Scientific Data","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44691381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：