探究花椒(Zanthoxylum bungeanum Maxim.)和竹叶花椒(Z.armatum DC.)适宜生长地区,科学选择栽培区域。收集花椒分布样点196个,竹叶花椒分布样点289个,采用《药用植物全球产地生态适宜性信息系统》(Geographic Information System for Gl...探究花椒(Zanthoxylum bungeanum Maxim.)和竹叶花椒(Z.armatum DC.)适宜生长地区,科学选择栽培区域。收集花椒分布样点196个,竹叶花椒分布样点289个,采用《药用植物全球产地生态适宜性信息系统》(Geographic Information System for Global Medicinal Plants,GMPGIS)进行生态适宜性分析。结果显示,中国境内花椒生态适宜区包括云南、四川、湖北、陕西、湖南、贵州等28个省(区),竹叶花椒生态适宜区包括云南省、四川省、广西壮族自治区、湖南省、湖北省、贵州省等21个省(区)。全球范围内花椒生态适宜区包括55个国家和地区,主要在亚洲、欧洲、北美洲,竹叶花椒生态适宜区包括42个国家和地区,主要在亚洲、欧洲、北美洲、南美洲和大洋洲,均以中国和美国面积最大,占全球适宜区总面积的70%以上。花椒、竹叶花椒分布上有明显差异,花椒的适宜区域较竹叶花椒广泛,且在分布上有一定的重叠区域。展开更多
With remote sensing information products becoming increasingly varied and arguably improved, scientific applications of such products rely on their quality assessment. In an operational context such as the NASA (Natio...With remote sensing information products becoming increasingly varied and arguably improved, scientific applications of such products rely on their quality assessment. In an operational context such as the NASA (National Aeronautics and Space Administration) information production based on the MODIS (Moderate Resolution Imaging Spectroradiometer) instrument on board Earth Observing System (EOS) Terra and Aqua satellites, efficient ways of detecting product anomaly, i.e., to discriminate between product artifacts and real changes in Earth processes being monitored, are extremely important to assist and inform the user communities about potential unreliability in the products. A technique for anomaly detection, known as MAD (the median of absolute deviate from the median), in MODIS land products via time series analysis is described, which can handle intra- and in-ter-annual variation in the data by using MAD statistics of the original data and their first-order difference. This method is shown to be robust and work across major land products, including NDVI, active fire, snow cover, and surface reflectance, and its applicabil-ity to multi-disciplinary products is anticipated.展开更多
Using GIS, GPS, GPRS and RFID, a dynamic information management system of digital mining in an open pit was designed and developed.A linear programming model was set up in a practical application.By the model, the sys...Using GIS, GPS, GPRS and RFID, a dynamic information management system of digital mining in an open pit was designed and developed.A linear programming model was set up in a practical application.By the model, the system can automatically draw up production plan of ore blending well every day.The system can monitor and dispatch open-pit trucks and shovels well, and can play back their historical paths.It can monitor and control the process of mining production in real time.By RFID, the system can also count the number of trucks'delivery and shovels'loading automatically.Experiments on real scenes show that the performance of this system is stable and can satisfy production standards of mining in open pits.展开更多
It is discussed features and tbe producing mechanism of buried geological information in geological, geophysical and remote sensing data in Huaibei coal field, and studied the methods extracting buried tectonic and ig...It is discussed features and tbe producing mechanism of buried geological information in geological, geophysical and remote sensing data in Huaibei coal field, and studied the methods extracting buried tectonic and igneous rock information from various geologicaI data using digital image processing techoiques.展开更多
Basic standards of information are for all construction work. The formulation for a standard system for housing and real-estate industry information is of great significance to the promotion of the sound development o...Basic standards of information are for all construction work. The formulation for a standard system for housing and real-estate industry information is of great significance to the promotion of the sound development of uniform construction and the transformation of production operations and management mode. This article gives an introduction to the application of information in the housing and real-estate industry, putting forward the consideration and framework for establishing the standard system of housing and the real-estate industry information to meet the needs of actual demands in China.展开更多
In terms of demands of rice farming in the southern China, the information processing system and the yield measurement system that is installed in combine harvester, are designed and completed. Now the systems have be...In terms of demands of rice farming in the southern China, the information processing system and the yield measurement system that is installed in combine harvester, are designed and completed. Now the systems have been used in demonstration site in the Experiment Base of Shanghai Precision Agriculture. Based on the idea of spatial-oriented, object-oriented, user-oriented, the Farm Geographic Information System for precision farming of rice was developed, which is characterized by intelligence and visualized. The Decision-making Management System is integrated with rice growth model, expert model for rice cultivation. The DGPS, RS, GIS and intelligence sensors and computer technique were adopted in building the artificial intelligence system for measuring grain yield that is installed in combine harvester, so the combine harvester could provide the grain yield distribution map real-timely. The environmental and economic assessment shows that the precision rice farming applied in the demonstration site will benefit the society, economy and ecology greatly.展开更多
文摘探究花椒(Zanthoxylum bungeanum Maxim.)和竹叶花椒(Z.armatum DC.)适宜生长地区,科学选择栽培区域。收集花椒分布样点196个,竹叶花椒分布样点289个,采用《药用植物全球产地生态适宜性信息系统》(Geographic Information System for Global Medicinal Plants,GMPGIS)进行生态适宜性分析。结果显示,中国境内花椒生态适宜区包括云南、四川、湖北、陕西、湖南、贵州等28个省(区),竹叶花椒生态适宜区包括云南省、四川省、广西壮族自治区、湖南省、湖北省、贵州省等21个省(区)。全球范围内花椒生态适宜区包括55个国家和地区,主要在亚洲、欧洲、北美洲,竹叶花椒生态适宜区包括42个国家和地区,主要在亚洲、欧洲、北美洲、南美洲和大洋洲,均以中国和美国面积最大,占全球适宜区总面积的70%以上。花椒、竹叶花椒分布上有明显差异,花椒的适宜区域较竹叶花椒广泛,且在分布上有一定的重叠区域。
基金Funded by the National 973 Program of China(No.2006CB701302).
文摘With remote sensing information products becoming increasingly varied and arguably improved, scientific applications of such products rely on their quality assessment. In an operational context such as the NASA (National Aeronautics and Space Administration) information production based on the MODIS (Moderate Resolution Imaging Spectroradiometer) instrument on board Earth Observing System (EOS) Terra and Aqua satellites, efficient ways of detecting product anomaly, i.e., to discriminate between product artifacts and real changes in Earth processes being monitored, are extremely important to assist and inform the user communities about potential unreliability in the products. A technique for anomaly detection, known as MAD (the median of absolute deviate from the median), in MODIS land products via time series analysis is described, which can handle intra- and in-ter-annual variation in the data by using MAD statistics of the original data and their first-order difference. This method is shown to be robust and work across major land products, including NDVI, active fire, snow cover, and surface reflectance, and its applicabil-ity to multi-disciplinary products is anticipated.
基金Supported by Shannxi Leading Academic Discipline ProjectShannxi Science and Technology Project(the Key Industries R&D Programme)(2009K08-25)
文摘Using GIS, GPS, GPRS and RFID, a dynamic information management system of digital mining in an open pit was designed and developed.A linear programming model was set up in a practical application.By the model, the system can automatically draw up production plan of ore blending well every day.The system can monitor and dispatch open-pit trucks and shovels well, and can play back their historical paths.It can monitor and control the process of mining production in real time.By RFID, the system can also count the number of trucks'delivery and shovels'loading automatically.Experiments on real scenes show that the performance of this system is stable and can satisfy production standards of mining in open pits.
文摘It is discussed features and tbe producing mechanism of buried geological information in geological, geophysical and remote sensing data in Huaibei coal field, and studied the methods extracting buried tectonic and igneous rock information from various geologicaI data using digital image processing techoiques.
文摘Basic standards of information are for all construction work. The formulation for a standard system for housing and real-estate industry information is of great significance to the promotion of the sound development of uniform construction and the transformation of production operations and management mode. This article gives an introduction to the application of information in the housing and real-estate industry, putting forward the consideration and framework for establishing the standard system of housing and the real-estate industry information to meet the needs of actual demands in China.
基金the Knowledge Innovation Project of the Chinese Academy of Sciences(No.KZCX2-412).
文摘In terms of demands of rice farming in the southern China, the information processing system and the yield measurement system that is installed in combine harvester, are designed and completed. Now the systems have been used in demonstration site in the Experiment Base of Shanghai Precision Agriculture. Based on the idea of spatial-oriented, object-oriented, user-oriented, the Farm Geographic Information System for precision farming of rice was developed, which is characterized by intelligence and visualized. The Decision-making Management System is integrated with rice growth model, expert model for rice cultivation. The DGPS, RS, GIS and intelligence sensors and computer technique were adopted in building the artificial intelligence system for measuring grain yield that is installed in combine harvester, so the combine harvester could provide the grain yield distribution map real-timely. The environmental and economic assessment shows that the precision rice farming applied in the demonstration site will benefit the society, economy and ecology greatly.
