Proceedings; XXI International Congress for Photogrammetry and Remote Sensing: Proceedings; XXI International Congress for Photogrammetry and Remote Sensing

Chen, Jun

Bibliographic data

Monograph

Persistent identifier:: 1811911722

Author:: Peßler, Wilhelm

Title:: Sammelmappe Wilhelm Peßler

Sub title:: Merkblatt für Führungen, Vaterländisches Museum der Stadt Hannover ; Merkblätter zu Führungen in Hannovers Umgebung ; Merkblätter zur Vorlesung "Landes- und Volkskunde in Niedersachsen"

Scope:: circa 130 Seiten in verschiedenen Seitenzählungen

DOI:: 10.14463/KXP:1811911722

Year of publication:: 1926

Place of publication:: Hannover

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 1811911722

Illustration:: Illustrationen

Signature of the source:: a 2777

Language:: German

Additional Notes:: Enthält 37 maschinenschriftliche Blätter zu Führungen: Merkblatt für Führungen des Niedersächsichen Volksmuseum der Hauptstadt Hannover; Heft Januar 1930 vom "Volkstumgeographisches aus dem Vaterländischen Museum in Hannover"; Merkblätter für Führungen des Vaterländischen Museums der Stadt Hannover Nr. 8, 10, 15-17, 20-21, 23-24, 30-35, 39-41, 44; Merkblätter zu Führungen in Hannovers Umgebung Nr. 2-3 ; Merkblätter zur Vorlesung "Landes- und Volkskunde in Niedersachsen" Nr. 1-3; Die Blätter der Sammelmappe erschienen etwa von 1926-1949; Titel fingiert

Usage licence:: Urheberrechtsschutz 1.0

Publisher of the digital copy:: Technische Informationsbibliothek (TIB)

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2022

Document type:: Monograph

Collection:: Geography; Homeland and regional geography

Section

Title:: Nr. 21: Neustädter Andreas-Friedhof.

Document type:: Monograph

Structure type:: Section

965 2008 A DUST-STORM PROCESS DYNAMIC MONITORING WITH MULTI-TEMPORAL MODIS DATA DI Mei, LU Xiushan, SUN Lin, WANG Ping Geomatics College, ShanDong University of Science and Technology,ShanDong Qingdao 266510,China dimei666@ 163.com, sunlin6@ 126.com,pingwsd@ 163 .com KEY WORDS: Dust Storm; Dynamic Monitoring; Multi-Temporal Data; Terra/Aqua MODIS ABSTRACT: In recent years, the frequency of dust storm is rising. Dust storm can impact the climate changes and cause great damages to people. It is very necessary to monitor the disasters accurately. In this paper, a dust storm process occurred in April, 2006 has been monitored. According to the reflect and absorb characteristic of dust storm, the scope of dust storm is extracted successfully;and the intensity grades are estimated, then the moving trace is monitored by multi-temporal data. Result shows greet agreement with the meteorological department monitoring. Conclusion can be gotten: the dust storm process dynamic monitoring with multi-temporal data has great application prospect. 1. INTRODUCTION Dust storm, a general name of sand storm and dust storm, is the weather condition which means strong wind draws much sand and dust near the ground surface into the sky, making air very foul, causing visibility less than 1km .Dust storm is a complex process influenced by the interaction of earth-atmosphere system, mainly caused by high wind speed, bared soil and dry air condition etc. It often takes place in arid and semi-arid areas. In recent years, the frequency of dust storm is rising. Dust storm can impact the climate changes and cause great damage to people. It is very necessary to monitor the disasters timely and accurately. At present, the ground based measurement method and remote sensing technology are two main methods for monitoring dust storm (Li Haiping, Xiong Liya,Zhuang Dafang, 2003). When dust storm happens, the environmental condition is often very bad. The sites for measuring dust storm are usually laid sparsely. As a result, because of low temporal and spatial resolution, traditional ground based measurement method cannot meet the requirements of dust storm monitoring and forecasting very well. The technology of satellite remote sensing has many advantages, such as: wide coverage, continuous in the space and monitoring natural disasters quickly, so it can act as an important role in the dust storm monitoring. Remote sensing can monitor the scope of dust storm, its intensity grade and its moving trace. Lots of researchers in China and abroad have done numerous experiments on monitoring dust storm by the technology of satellite remote sensing. Luo Jingning (Luo Jingning,Fan Yida,Shi Peijun,2003) has constructed a comparable dust storm intensity index to solve this problem: because of different satellite platforms ,monitoring time and areas, a comparable monitored result cannot be given by using multi-source remote sensing data; Guo Ni (Guo Ni,Liang Yun,2006) has constructed two dust indexes to discriminate dust storm processes happened in 2002-2005; Li Qing (Li Qing,Wang Qiao,Wang Wenjie,2006) has monitored a strong dust storm process occurred in the northwest of China in 2003 by MODIS data; Liu Sanchao (Liu Sanchao,Liu Qinhuo,Gao Maofang,2006) has extracted dust storm areas by combining Terra and Aqua images at daytime and nighttime;John J. Qu(John J. Qu, Menas Kafatos, 2006) has proposed a normalized difference dust index(NDDI) to identify dust and cloud; J. K. Roskovensky (J. K. Roskovensky ,K. N. Liou, 2005)has combined short-wave reflectance ratio tests with long-wave brightness temperature differences to produce individual parameters to detect cirrus and dust. However, many researchers only focused on accurately identifying whether a pixel is contaminated by dust storm and then limit the areas of dust storm distribution. In these years, more and more satellites have been sent to the space, it has become possible to make certain the moving trace of the dust storm using the multi-temporal satellite images obtained from different satellite sensors. In this paper, the scope of dust storm is extracted successfully and then the moving trace and intensity grades are monitored by multi-temporal data. The results can help related departments grasp the moving trends of dust storm in macroscopic view and provide a basis for them to make decisions. 2. DATA In this paper, the data used to monitor dust storm disaster is MODIS data. MODIS sensors, boarded on both Terra and Aqua satellites, have 36 channels. Its spectrum range is 0.4pm~ 14.385pm,covering from visible to infrared. At least 4 MODIS images can be obtained every day. The timeliness of data is increasing, so dust storm can be monitored dynamically. In this paper, 4 MODIS images are chose to monitor a dust storm process happened in northwest of China on April 16-17, 2006 (see table 1).

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