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Remote sensing for resources development and environmental management (Volume 1)

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

Bibliographic data

fullscreen: Remote sensing for resources development and environmental management (Volume 1)

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:
3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
Multitemporal analysis of Thematic Mapper data for soil survey in Southern Tunisia. G. F. Epema
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 1)
  • Cover
  • Title page
  • Title page
  • Title page
  • Preface
  • Organization of the Symposium
  • Working Groups
  • Table of contents
  • 1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder
  • 2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul
  • 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik
  • Relationship between soil and leaf metal content and Landsat MSS and TM acquired canopy reflectance data. C. Banninger
  • The conception of a project investigating the spectral reflectivity of plant targets using high spectral resolution and manifold repetitions. F. Boochs
  • CAESAR: CCD Airborne Experimental Scanner for Applications in Remote Sensing. N. J. J. Bunnik & H. Pouwels, C. Smorenburg & A. L. G. van Valkenburg
  • LANDSAT TM band combinations for crop discrimination. Sherry Chou Chen, Getulio Teixeira Batista & Antonio Tebaldi Tardin
  • The derivation of a simplified reflectance model for the estimation of LAI. J. G. P. W. Clevers
  • The application of a vegetation index in correcting the infrared reflectance for soil background. J. G. P. W. Clevers
  • The use of multispectral photography in agricultural research. J. G. P. W. Clevers
  • TURTLE and HARE, two detailed crop reflection models. J. A. den Dulk
  • Sugar beet biomass estimation using spectral data derived from colour infrared slides. Robert R. De Wulf & Roland E. Goossens
  • Multitemporal analysis of Thematic Mapper data for soil survey in Southern Tunisia. G. F. Epema
  • Insertion of hydrological decorralated data from photographic sensors of the Shuttle in a digital cartography of geophysical explorations (Spacelab 1-Metric Camera and Large Format Camera). G. Galibert
  • Spectral signature of rice fields using Landsat-5 TM in the Mediterranean coast of Spain. S. Gandia, V. Caselles, A. Gilabert & J. Meliá
  • The canopy hot-spot as crop identifier. S. A. W. Gerstl, C. Simmer & B. J. Powers
  • An evaluation of different green vegetation indices for wheat yield forecasting. A. Giovacchini
  • Spectral and botanical classification of grasslands: Auxois example. C. M. Girard
  • The use of Thematic Mapper imagery for geomorphological mapping in arid and semi-arid environments. A. R. Jones
  • Determination of spectral signatures of different forest damages from varying altitudes of multispectral scanner data. A. Kadro
  • A preliminary assessment of an airborne thermal video frame scanning system for environmental engineering surveys. T. J. M. Kennie & C. D. Dale, G. C. Stove
  • Study on the spectral radiometric characteristics and the spectrum yield model of spring wheat in the field of BeiAn city, HeilonJiang province, China (primary report). Ma-Yanyou, You-Bochung, Guo-Ruikuan, Lin-Weigang & Mo-Hong
  • Multitemporal analysis of LANDSAT Multispectral Scanner (MSS) and Thematic Mapper (TM) data to map crops in the Po valley (Italy) and in Mendoza (Argentina). M. Menenti & S. Azzali, D. A. Collado & S. Leguizamon
  • Selection of bands for a newly developed Multispectral Airborne Reference-aided Calibrated Scanner (MARCS). M. A. Mulders, A. N. de Jong, K. Schurer, D. de Hoop
  • Mapping of available solar radiation at ground. Ehrhard Raschke & Martin Rieland
  • Spectral signatures of soils and terrain conditions using lasers and spectrometers. H. Schreier
  • Relation between spectral reflectance and vegetation index. S. M. Singh
  • On the estimation of the condition of agricultural objects from spectral signatures in the VIS, NIR, MIR and TIR wavebands. R. Söllner, K.-H. Marek & H. Weichelt, H. Barsch
  • LANDSAT temporal-spectral profiles of crops on the South African Highveld. B. Turner
  • Theoretic reflection modelling of soil surface properties. B. P. J. van den Bergh & B. A. M. Bouman
  • Monitoring of renewable resources in equatorial countries. R. van Konijnenburg, Mahsum Irsyam
  • Assessment of soil properties from spectral data. G. Venkatachalam & V. K. R. Jeyasingh
  • Spectral components analysis: Rationale and results. C. L. Wiegand & A. J. Richardson
  • 4 Renewable resources in rural areas: Vegetation, forestry, agriculture, soil survey, land and water use. Chairman: J. Besenicar, Liaisons: M. Molenaar, Th. A. de Boer
  • Cover

Full text

245 
Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
Multitemporal analysis of Thematic Mapper data 
for soil survey in Southern Tunisia 
G.F.Epema 
Department of soil science and geology, Laboratory for remote sensing, Agricultural University of Wageningen, Netherlands 
ABSTRACT: The possibilities of Thematic Mapper data for the examination of the dynamics of an area in Southern 
Tunisia are the subject of this study. A general view is given over the methods to compare Thematic Mapper 
data of different days. It was shown that different methods and products are complementary for interpretation. 
The most important changes were in salt content, vegetation and exposition. Recommendations and a start for 
further research in order to find more subtle changes and for a more quantitative approach havd been 
described. 
1. INTRODUCTION 
The dynamics of an area may give problems in 
relating satellite or other remote sensing data to 
surface characteristics. At the other hand the 
dynamics of the surface are an important 
characteristic of the units in an area. Also in 
arid regions with a very sparse vegetation cover 
important permanent and non permanent changes of 
the surface may occur. 
In this paper the possibilities and constraints 
of multitemporal analysis of Thematic Mapper data 
for the study of the dynamics of an arid area in 
Southern Tunisia (near Kebili) are presented. An 
extensive description of the area and of the use of 
Thematic Mapper for mapping this area have been 
presented by Mulders and Epema (1986) and Epema 
(1986). Therefore only a very general description 
will be given. The study area has an arid climate 
and covers both the margin of a playa and 
footslopes. Cuesta ridges are present with in front 
of it the footslopes, which are partly covered with 
gypsum crust. Moreover dunes of different heights 
are present on the footslope and in the playa 
border zone. In this last zone also spring mounds 
are present. The playa and playa border zone are 
saline flats with a groundwater depth less than 1 
meter. With the exception of the oases the cover 
with vegetation is small and in the playa even 
absent. 
For this area Thematic Mapper tapes were 
available for 29 January 1983 and 18 May 1985. 
These days represent the situation after 
respectively relatively dry and wet circumstances. 
Changes in multitemporal remote sensing data can be 
made visible with an interpretation of images of 
the different days. In order to make a valuable 
interpretation the type of image and limits of 
linear stretch must be appropriate. Therefore the 
spectral characteristics of the units have to be 
studied first. Then an overview is given of 
relevant possible differences between these two 
dates. These are due both to changes of the surface 
itself and to the effect of difference in sun 
elevation and turbidity of the atmosphere at 
Landsat overpass time. Different methods are 
compared in order to match the data in such a way 
that relevant changes in spectral reflectance can 
be read from the data. Then spatial differences in 
dynamics of reflectance will be shown. 
Thematic Mapper for 29 January 1983 and for 18 May 
1985. The digital numbers on these tapes were 
converted to reflectance values at the top of the 
atmosphere. With the aid of tables presented by the 
NASA (Technical Memorandum 86149; 1984) and more 
recent reports, characteristics of Thematic Mapper 
of Landsat 4 and 5 on these two days for the 
channels (or bands) could be gathered. A procedure 
leads to linear transformation from digital numbers 
to reflectance values with only a small intercept. 
Feature space plots, correlations between 
spectral bands and principal components were 
studied in order to get insight in the spectral 
behaviour of the surface. The feature space plots 
in fig. 1 are useful to show the main spectral 
groups. 
2. SPECTRAL CHARACTERISTICS 
Computer compatible tapes were available of 
Fig. 1. Plots of May reflectance at the top of the 
atmosphere for band 4 TM with bands 1, 3 and 7.
	        

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