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:: 856641294

Title:: Remote sensing for resources development and environmental management

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

Scope:: IX Seiten, Seiten 551-956

Year of publication:: 1986

Place of publication:: Rotterdam; Boston

Publisher of the original:: A,. A. Balkema

Identifier (digital):: 856641294

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(26,7,2)

Language:: English

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

Editor:: Damen, M. C. J.

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

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:: 6 Hydrology: Surface water, oceanography, coastal zone, ice and snow. Chairman: K. A. Ulbricht, Co-chairman: Mikio Takagi, Liaison: R. Spanhoff

Write comment:: Wegen zu enger Bindung kommt es teilweise im Original zu Textverlust.

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Remote sensing as a tool for assessing environmental effects of hydroelectric development in a remote river basin. W. Murray Paterson & Stewart K. Sears

Document type:: Multivolume work

Structure type:: Chapter

739 Symposium on Remote Sensing for Resources Development and Environmental Management-/ Enschede / August 1986 f the Spacelab Wessling. • • • ge, discharge Remote sensmg as a tool for assessing environmental effects Sibun rivers ^ rt & 126? ’ Land of hydroelectric development in a remote river basin W. Murray Paterson & Stewart K. Sears Ontario Hydro, Toronto, Canada ABSTRACT: The development of new hydroelectric generation projects in Ontario (Canada) requires environmental studies to be carried out at various stages in the project life cycle. The feasibility of using remotely-sensed LANDSAT satellite data to assist in these studies is assessed based on a pilot project carried out in a remote northern Ontario river basin. Results suggest that remote sensing technology offers a potentially effective and economical means of collecting, interpreting and presenting environmental information for studies related to broad level river basin planning, conceptual assessments, project scoping, impact assessment, and post-development project follow-up and monitoring. 1 INTRODUCTION In Ontario (Canada), existing legislation governing the planning and development of new hydroelectric projects requires environmental studies to be carried out at various stages in a project's life cycle. In the planning and design phase, studies are undertaken to assess the acceptability of selected development schemes and to gain approval under Ontario's Environmental Assessment Act. During the project construction and operation stages, studies are conducted to monitor construction activities, to verify predicted effects, to check the effectiveness of implemented mitigation measures, and to confirm the operating integrity of the facility. Completion of these studies requires the collection and analysis of large volumes of data over an extended period of time. The cost and effectiveness of such studies are strongly influenced by sampling methods used, and by the quality and vintage of available data. Much of the remaining, undeveloped hydroelectric potential in Ontario is located in remote, northern regions of the province. Baseline data acquisition and long-term monitoring in these areas can be both time-consuming and expensive. Therefore, cost-effective means of collecting and maintaining "suitable data" are highly desirable. Satellite remote sensing technology has been recommended as a useful and cost-effective tool for performing environmental studies (Ross and Singhroy 1983). In order to gain a generic assessment of the value of remote sensing, and to demonstrate ways the technology could augment or improve future environmental studies for hydroelectric projects, a pilot project was conducted by Ontario Hydro in 1985, in conjunction with the Ontario Centre for Remote Sensing (OCRS). The project involved mapping a remote study area - the 15,200 km^ Little Jackfish River (LJR) basin - according to a variety of cover types, using multi-date LANDSAT MSS satellite data. A series of secondary tests were also run on a sub-area of the drainage basin to further evaluate the data extraction and interpretative capabilities of the technology. 1.1 Study Area The LJR basin is located north of Lake Nipigon in Ontario (Canada) at about Latitude 50° 23'N, Longitude 88° 18'W (Figure 1). The basin is physiographically quite uniform and is typical of boreal forest environments on the Canadian Shield. Ontario Hydro is proposing construction of hydroelectric generating facilities on the LJR to develop about 132 MW of available hydraulic potential. A tentative dam site has been identified at approximately 12 km upstream of the river mouth. Studies have now entered the detailed environmental assessment (EA) phase and station in-service is expected in 1993. Results from this remote sensing pilot project proved to be very timely for use in the current EA studies on the LJR. Their direct use by the LJR project team provided an opportunity for some hands-on evaluation of the feasibility of using remote sensing to assist in project planning and development work. 2 METHOD Thematic maps of generalized land cover types were produced for the LJR at OCRS basin using digital analysis and visual interpretation of LANDSAT satellite data. The maps were produced using a standard supervised multispectral classification technique (Kalensky et al 1981).

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