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:: Base map production from geocoded imagery. Dennis Ross Rose & Ian Laverty, Mark Sondheim

Document type:: Multivolume work

Structure type:: Chapter

67 .cal Research, Vol. Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 cloud ices. Submission to lospheric effects the thermal on satellites. The iadiometer (AVHRR), No. 1, p. 161- Base map production from geocoded imagery Dennis Ross Rose & Ian Laverty Macdonald Dettwiler and Associates Limited, Richmond, B.C., Canada Mark Sondheim British Columbia Ministry of Environment, Surveys and Resource Mapping Branch, Victoria, B.C., Canada ABSTRACT: Current techniques of producing topographic base maps rely chiefly on aerial photography as the data source. Topography and planimetry are derived using standard photogrammetric methods and manually operated equipment. Although this method meets current accuracy requirements when used properly, it has several inherent problems. For instance, the collection of source data is costly as it involves special aircraft collection missions. Extraction of relief and feature detail using manual methods is prone to operator error. Solutions to these problems must provide more cost-effective means of obtaining data and a more automated approach to information extraction from this data. During the past decade much progress has been made in the correction and processing of digital satellite imagery. Techniques such as geocoding have been developed and refined to the stage where map accurate imagery can be produced in a high-throughput environment. It is possible for mapping agencies to use this imagery as an input to many standard mapping operations. Using technology which is available today, it is possible to accurately derive planimetric, thematic, and topographic maps using this digital imagery as the primary source of information. This paper will discuss the recent advances in technology which have provided the means to produce such accurate imagery as well as describe how this imagery can be used to produce quality map products in a production environment. Topics such as feature extraction, thematic classification, elevation derivation, and resultant map accuracies will be discussed. A sample 1:50,000 scale base map, derived entirely from LANDSAT TM imagery, will be presented and evaluated to demonstrate the concepts discussed. BACKGROUND The year 1986 will prove to be a very significant one to both the remote sensing and cartographic communities. The recent launch of the SPOT satellite and the ability to generate LANDSAT-TM and SPOT precision geocoded products will, for the first time, allow cartographers to use digitally-processed satellite imagery as a prime data source for map production. Satellite imagery is economical and provides high information content. Production oriented mapping systems are now being developed which extract feature and relief content entirely from imagery. General acceptance of these systems will only come about once it can be shown that the satellite derived map products compare favorably to those generated by typical photogrammetric techniques. Current mapping procedures are based on photogrammetric methods and meet required accuracy standards. However, several problems exist with such methods. The procedure is slow and data acquisition is expensive. Resultant quality may vary from interpreter to interpreter. Developed nations often have well developed mapping programs. Such countries continue mapping to update existing maps or to improve the accuracy of existing maps. Developing nations frequently have not been mapped completely, and any existing maps may not be of acceptable quality. Such countries cannot afford the time (often decades) or cost required to produce a quality map data base. Digital satellite imagery should provide help for both of these cases. Satellite imagery provides very wide region coverage. A single LANDSAT-TM image covers an area of 34,000 sq. kilometres, compared to a 130 sq. kilometre aerial photograph (1:50,000 photo scale). Similarly, the amount of ground control required to correct a satellite image is one tenth of that required to correct a corresponding area of aerial photographs. These differences imply a highly reduced cost of data acquisition when comparing satellite imagery and control to aerial photography and control. The digital and multispectral nature of satellite imagery also provides advantages over aerial photographs. Using digital techniques it is possible to ~ extract' terrain, planimetry, and landcover information in an automated fashion from the imagery. Since the infomation is digital, it can be used easily with other digital data (e.g. digital maps). Finally, automated map production will lead to more consistant quality map production, as human intervention is reduced.

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