Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

Damen, M. C. J.

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Multivolume work

Persistent identifier:: 856342815

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856342815

Language:: English

Additional Notes:: Volume 1-3 erschienen von 1986-1988

Editor:: Damen, M. C. J.

Document type:: Multivolume work

Volume

Persistent identifier:: 856343064

Title:: Remote sensing for resources development and environmental management

Sub title:: proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986

Scope:: XV, 547 Seiten

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A. A. Balkema

Identifier (digital):: 856343064

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,1)

Language:: English

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

Editor:: Damen, M. C. J.

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:: Volume

Collection:: Earth sciences

Chapter

Title:: 1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: A GIS-based image processing system for agricultural purposes (GIPS/ALP) - A discussion on its concept. J. Jin King Liu

Document type:: Multivolume work

Structure type:: Chapter

29 lg the approaches to iication in GIPS/ALP. dcentre is identified fieldcentre pixel is . By comparing this ith that originally he change, if any, etected. The acreage :udy area is derived ata instead of the y at the GIS accuracy The results of the previous three parts are the inputs to the particular classifier to classify the cover type of each unknown pixel. And, the subsequent results of the newly derived land cover data can be used to update the archival land cover file in the GIS. 4. UNIQUE ADVANTAGES OF GIPS/ALP This approach can dramatically reduce the data volume which has to be handled when spatial resolution is increased because the number of pixels of each crop field to be processed can be kept constant and the total number of fields for a defined size of area will remain unchanged in a certain period of time. The updating of polygon data file is not required so often as that of the content inside the polygon area. The classification accuracy will be considerably improved due to the purity of the pixel chosen and the high accessibility of ancillary data available in GIS. The field check strategy modified by this system can contribute the general accuracy, too. The geometric accuracy will be as good as that in the GIS which is claimed to be considerably higher than that can be derived from the most sophisticately corrected images because all the statistics related to geometry are estimated on basis of the data in geographic information system. 5. CONCLUSION Identified Change New Cover Condition Cl N (no ch) C2 C (chngd) id truth verification be directed to those .xels or are detected .on can be accurately ated map, on which larked automatically include (i) statistic s, and (iii) images, 1 both the geographic ensing system. assification strati the specific GIPS/ALP. A brief eographic information system are the two iLP. The geographic handling the fully note sensing system, e spatial data. tasks are involved, .ds with known land >es were taken, (ii) ¡ponding the fields p, (iii) extracting modifying the image aining statistics ification algorithm, istribution of each n be estimated from GIS. which a value stands re derived from RSS ucture. Both geographic information sensing system are effective spatial data. GIPS/ALP takes special features to resolve image processing which have They are the data volume, classification accuracy and geometric accuracy. system and remote tools for handling advantage of their the bottlenecks in existed for years. REFERENCES Allan, J.A. 1984. The role and future of remote sensing. In proceedings of the 10th Anniversary International Conference on Remote Sensing. Remote Sensing Society, UK. p.23 30. Anderson, J.R., E.E. Hardy, J.T. Roach & R.E. Witmer 1976. A land use and land cover classification system for use with remote sensor data. Geological Survey Professional Paper 964, USGS. 28p. Marble, D.F. & D.J. Peuquet 1983. Geographic information systems and remote sensing. In R.N. Cowell (ed.) Manual of remote sensing, vol.I, p.923 958. Tseng, W.T. & Q.C. Sung 1978. The evaluation of computer generated land use/land cover maps and the study of spectral characteristics of land covers. MRSO repot 088. Mining Research & Service Organization, ITRI. 39p.

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