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Remote sensing for resources development and environmental management (Volume 2)

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CC BY: Attribution 4.0 International. You can find more information here.

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fullscreen: Remote sensing for resources development and environmental management (Volume 2)

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:
A hydrological comparison of Landsat TM, Landsat MSS and black & white aerial photography. M. J. France & P. D. Hedges
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • Remote sensing for resources development and environmental management
  • Remote sensing for resources development and environmental management (Volume 2)
  • Cover
  • Title page
  • Title page
  • Title page
  • Table of contents
  • 5 Non-renewable resources: Geology, geomorphology and engineering projects. Chairman: J. V. Taranik, Liaison: B. N. Koopmans
  • 6 Hydrology: Surface water, oceanography, coastal zone, ice and snow. Chairman: K. A. Ulbricht, Co-chairman: Mikio Takagi, Liaison: R. Spanhoff
  • A methodology for integrating satellite imagery and field observations for hydrological régionalisation in Alpine catchments. R. Allewijn
  • The JRC program for marine coastal monitoring. J. A. Bekkering
  • Shape and variability of the absorption spectrum of aquatic humus. H. Buiteveld & F. de Jong, R. Spanhoff, M. Donze
  • Rainlog and preslog: Novel tools for in-situ measurements. D. de Hoop
  • Simple classifiers of satellite data for hydrologic modelling. R. S.Drayton, T. R. E. Chidley & W. C. Collins
  • The delineation and classification of inland wetlands utilizing fcir stereo imagery. Stephen A. Estrin
  • A hydrological comparison of Landsat TM, Landsat MSS and black & white aerial photography. M. J. France & P. D. Hedges
  • Application of remote sensing in hydromorphology for third world development: A resource development study in parts of Haryana (India). A. S. Jadhav
  • Remote sensing of flow characteristics of the strait of Öresund. L. Jönsson
  • Present state, changes and quality of Sologne and Brenne, two French large wetlands, studied with the MSS and TM Landsat data. Michel Lenco, Jean-Pierre Dedieu
  • The quantification of floodplain inundation by the use of LANDSAT and Metric Camera information, Belize, Central America. S. T. Miller
  • Remote sensing as a tool for assessing environmental effects of hydroelectric development in a remote river basin. W. Murray Paterson & Stewart K. Sears
  • Environmental assessment for large scale civil engineering projects with data of DTM and remote sensing. Taichi Oshima & Atsushi Rikimaru, Youichi Kato & Masaharu Nakamura
  • Sea surface temperature studies in Norwegian coastal areas using AVHRR- and TM thermal infrared data. J. P. Pedersen
  • Satellite data in aquatic area research: Some ideas for future studies. Jouko T. Raitala
  • Analysis of Landsat multispectral-multitemporal images for geologic-lithologic map of the Bangladesh Delta. A. Sesören
  • Water quality monitoring of Lake Balaton using LANDSAT MSS data. H. Shimoda, M. Etaya & T. Sakata, L. Goda & K. Stelczer
  • Determination of spectral signatures of natural water by optical airborne and shipbome instruments. D. Spitzer & M. R. Wernand
  • Classification of bottom composition and bathymetry of shallow waters by passive remote sensing. D. Spitzer & R. W. J. Dirks
  • Satellite remote sensing of the coastal environment of Bombay. V. Subramanyan
  • A study with NOAA-7 AVHRR-imagery in monitoring ephemeral streams in the lower catchment area of the Tana River, Kenya. J. W. van den Brink
  • A simple atmospheric correction algorithm for Landsat Thematic Mapper satellite images. P. I. G. M. Vanouplines
  • 7 Human settlements: Urban surveys, human settlement analysis and archaeology. Chairman: W. G. Collins, Co-chairman: B. C. Forster, Liaison: P. Hofstee
  • 8 Geo-information systems. Chairman: J. J. Nossin
  • Cover

Full text

Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
717 
A hydrological comparison of Landsat TM, Landsat MSS 
and black & white aerial photography 
M.J.France & P.D.Hedges 
Aston University, UK 
ABSTRACT: Landsat TM is evaluated for its accuracy in delineating, 
mapping and measuring, water bodies, drainage networks, catchment 
areas and landcover. A comparison is made with results from 
Landsat MSS imagery and 1:50000 scale black & white aerial 
photography, for the same area in North Wales, U.K. 
Landsat TM is found to have significant advantages over Landsat MSS 
for recording drainage network information. Lakes as small as 0.6 
hectares can be identified using Landsat TM imagery and the 
delineation of small streams aids in accurately defining catchment 
boundaries. 
1 INTRODUCTION 
Satellite remote sensing provides an attractive 
way of collecting hydrological data and is of 
particular significance in areas where traditional 
methods of hydrological data collection are 
inadequate or impractical. The data can be used 
as input to morphology or landcover -based 
hydrological models. 
This research is directed at a comparison of 
Landsat Multispectral Scanner (Landsat MSS) 
imagery, Landsat Thematic Mapper ( Landsat TM) 
imagery, 1:50000 scale Black & White aerial 
photography and the 1:50000 scale Ordnance Survey 
map of the area, using the same test area. 
Earlier work on Landsat MSS, with its 80m 
resolution found encouraging results in areas of 
high relief (Rango et al., 1975; Killpack and 
McCoy, 1981) but limited success in most British 
situations . It was thought that the Landsat TM 
with its greater spatial and spectral resolution 
might prove more successful. 
Table 1. Comparison of Landsat TM and MSS sensor 
characteristics. 
TM Data 
MSS Data 
Spectral 
Spatial 
Spectral 
Spatial 
Band 
range ,pm 
resoln. ,m 
Band 
range ,yu m 
resoln.,m 
1 
0.45-0.52 
30 
4 
0.5-0.6 
80 
2 
0.52-0.60 
30 
5 
0.6-0.7 
80 
3 
0.63-0.69 
30 
6 
0.7-0.8 
80 
4 
0.76-0.90 
30 
7 
0.8-1.1 
80 
5 
1.55-1.75 
30 
6 
10.4-12. 
120 
7 
2.08-2.35 
30 
Work concentrated particularly on the Landsat TM 
imagery as there is little relevant published 
material on this imagery. Specific aims were: 
1. To ascertain the efficiency of drainage mapping 
using Landsat TM imagery. 
2. To specify the most useful image enhancements 
for this purpose. 
3. To compare the efficiency of interpretation of 
Landsat MSS imagery, Landsat TM imagery and Black 
& White aerial photography. 
The area selected for this research, some 235km 2 
in extent, is the Dolgellau and Coed-y-Brenin area 
of North Wales, U.K. (see Figure 1). The area is, 
in the main, an upland region of hills and 
mountains with a maximum elevation of 754 metres. 
A Lowland valley runs across the southern part of 
the region. Streams and rivers in the area are 
bordered by various lowland and upland vegetation 
types and frequently pass through forests or 
woodland , giving opportunity for the examination 
of several water/vegetation interfaces. 
Figure 1. Location of study area. 
2 METHOD 
Four Landsat MSS images, with minimal or no cloud 
cover, were available for the area, the best of 
which is a scene from May 1977. One Landsat TM 
quarter scene from July 1984, with little cloud 
coverage was available from the U.K. National 
Remote Sensing Centre. These images were enhanced 
using the GEMS image processors at NRSC, 
Farnborough, and Silsoe College, Bedford and an 
I 2 S system at NERC, Swindon. 
Image enhancement was mainly directed at the 
Landsat TM data as little published work exists on 
the processing of this material. Individual bands, 
band combinations, principal components analysis 
and several edge enhancement techniques were 
evaluated for their enhancement of linear water 
bodies. Similar techniques were applied to the 
Landsat MSS imagery. Hard-copies of enhancements
	        

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