Special UNISPACE III volume

Marsteller, Deborah

Bibliographic data

Monograph

Persistent identifier:: 856485039

Author:: Marsteller, Deborah

Title:: Special UNISPACE III volume

Sub title:: including: ISPRS Workshop on "Resource Mapping from Space", ISPRS-EARSeL Workshop on "Remote Sensing for the Detection, Monitoring and Mitigation of Natural Disasters", ISPRS-NASA Seminar on "Environment and Remote Sensing for Sustainable Development", July 1999, Vienna, Austria

Scope:: IV, 170 Seiten

Year of publication:: 1999

Place of publication:: Coventry

Publisher of the original:: RICS Books

Identifier (digital):: 856485039

Illustration:: Illustrationen, Diagramme, Karten

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: ISPRS Workshop on "Resource Mapping from Space"

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: PERSONAL GROUND STATION (PGS) SCANER - NETWORK FOR "RESURS-O" SATELLITE DATA ACQUISITION AND PROCESSING. NEW IMAGE NEURONET PROCESSING TECHNOLOGY FOR ENVIRONMENT MONITORING AND RESOURCE MAPPING. Dr. Vladimir E. Gershenzon

Document type:: Monograph

Structure type:: Chapter

I5PR5 UNISPACE III - ISPRS Workshop on “Resource Mapping from Space” 9:00 am-12:00 pm, 22 July 1999, VIC RoomB Vienna, Austria I5PR5 width and positioning accuracy - differ significantly what makes a software designed to control the ScanER station considerably more complex (and the station cost - perceptibly higher). Despite of these essential internal differences, the stations very little differ in weight and size of the hardware and practically do not differ in a user’s interface of applications which control them. As to ScanViewer and Catalogue Manager, they work as well with any type of data created with ScanEx stations. Correspondingly, a sequence of actions a user has to carry out to get an image - from obtaining the satellite orbital elements to registering the image in the data base - is the same, and the actions are described m the same terms and executed with identical program controls. In other words, a user familiar with the ScanEx station caa master the ScanER station in half of an hour, and this half of an hour is needed mostly to leam features in behavior of the satellites - not the applications. This all gives us still more grounds to define the ScanER as a personal station. The whole process of obtaining images and preparing them for the following thematic processing includes the following steps: 1. Approximately once in a week, a user must get fresh orbital elements and calculate a schedule - also for a week - in the station control application (the Resurs Receiver for ScanER station). Since Resurs-Ol satellites transmit data not permanently, a user must select lines in the shcedule accordingly to the so-called "Resurs 1-4 Measurement Program" (a schedule of downloads distributed by the Center of Program Research of Russian Space Agency (CPR of RSA)) and save the schedule into a file. 2. After the schedule is loaded into the control applicatioa it receives data automatically. The user must only observe an image and stop the reception when he find a level of errors in the image too high, or restart the reception in a case of accidental loss of the signal. 3. The user looks through the received image with the ScanViewer, check the image georeference and correct it in the first-order approximation, manually selects fragments for the long-term storage and saves them in new files. Taken into acount in the fragmentation are a noise level, surface illumination and the image contents itself (say. long pieces of open sea surface are usually cut out). But the main is cloudness: if no clouds an image may need no fragmentation as well as a dense cloudness may make the whole image invalid for any further usage. Usually an image is cut into 2 - 4 fragments. 4. Selected fragments are written to CD-ROMs. When a CD is full, the Catalogue Manager is called to scan the CD and write a description of images into the data base. An example of concrete thematic application As an example, involving multitemporal features in the field of decoding characteristic gives a great opportunity for mapping infrastructure of forest massifs. To this must be added that factors of forest growth became more recognizable after multitemporal analyze. In our work we had found five principle time periods substantial for such research, especially in northern and middle taiga regions. But in spite of the best opportunities that remote sensing investigations can give to monitoring forested lands there are some problems. Main part of them are associated with wide spectrum of decoding characteristics different forest ecosystems. Information excessive of the remote sensing data increase the quality of the local experimental results, but strongly worse the results of regional and global estimations. The main difficulty on our view is incompatible and unreproducible methods image processing the remote sensing data. The neuro-based decoding technology can give a chance to avoid most part of that problems. Using algorithms ANN SOM (Self- Organizing maps. T. Kohonen, Springer Verlag. 1997) allow cvantifay remote sensing image on homogenous areas. Also, it allow to connect this rated regions with thematically constants feature of current mapping object. So, analysis of remote sensing data in suggested technology begins from measurement image quality and checking up its suitability for the studying current decoding task. After that tire process of teaching neuron-net begins. Various sizes of teaching massifs and its stmcture or topology in the field of remote sensed image allow to obtain very high selectivity of decoding knowledge On the basis of this technology during the period 1997-1999 different thematic maps (1:50 000 - 1:1000 000) were created. The most part of them obtained on the basis of Resurs-Ol N3 satellite images and deal with the problems of the forest exploitation, crave dynamic and land use in forested lands. Region of application includes different territories of northern, middle and southern taiga in the board of Russian Federation. The thematic application of the Resurs-0 images, besides forestry, is wide: multitemporal environmental monitoring, agriculture, control for the hazardous territories, control for the seashore zones, etc. A network of ScanER stations The first ScanER station was put on work in Moscow in May 1996 for receiving information from Resurs-Ol #3. It was followed by stations in Kurgan (December, 1996), Salekhard (May, 1997), Krasnoyarsk (August, 1997), Khanty-Mansiysk (October, 1997), N. Novgorod (November, 1997), Tomsk (2 stations. December, 1997). Ufa (January, 1998) and S- Petersburg (end of April, 1998), Yuzhno-Sakhalinsk (June. 1998), Irkutsk (August, 1998) installed and exploited by local environment protection services. Now there are three stations are operating in Moscow, Irkutsk and Khanty-Mansiskfor receiving information from Resurs 0-1 #4. At present two stations operate in Moscow and Yuzhno- Sakhalinsk for reception information from Resurs-Ol #3 on International Archives of Photogrammetiy and Remote Sensing. Vol. XXXII Part 7C2, UNISPACE III, Vienna. 1999 75

Access restriction

Copyright

fullscreen: Special UNISPACE III volume

Monograph

Chapter

Chapter

Table of contents

Cite and reuse

Monograph

Chapter

Image

Image fragment

Citation links

Citation recommendation