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

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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:
Spectral signatures of soils and terrain conditions using lasers and spectrometers. H. Schreier
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

311 
Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
Spectral signatures of soils and terrain conditions 
using lasers and spectrometers 
H.Schreier 
Department of Soil Science, University of British Columbia, Vancouver, B.C., Canada 
ABSTRACT: A pulsed infrared laser system was flown over a number of test sites and the results showed that 
high resolution data on terrain and vegetation height, and surface reflection can be obtained simultaneously. 
With this combined data set it is possible to examine the effect of surface roughness on spectral reflection 
measurements and this greatly facilitates terrain and vegetation assessments. To explore the development 
of multispectral lasers ground based reflection measurements were made with a spectrometer using three 
different sets of soil samples. The results showed that % carbon, % iron and % sand content were significantly 
correlated with spectral reflection measurements at 550, 630 and 1600 nm wavelengths respectively. However, 
these relationships are not universal and are only applicable on a site specific basis. Organic carbon could 
only be predicted with confidence from soils originating from a field where the organic carbon content was 
highly variable and greater than 2.0%. In a different sample set where organic carbon content was below 2% 
the % sand variability could be predicted. Finally, a third set of samples, originating from mine tailings 
having no carbon present and high iron variability, showed significant relationships with reflection at 630 nm 
wavelength. These results suggest that if we are interested in quantifying soil fertility conditions the 
development and use of a multispectral laser might provide a new dimension to remote sensing since it would 
provide both essential reflection and surface roughness assessments at the same time. 
1 INTRODUCTION 2 REMOTE SENSING WITH AN AIRBORNE LASER 
Surface roughness has a significant influence on de 
tailed spectral reflection measurements and until 
recently this subject has been largely ignored 
because of the difficulties in measuring roughness 
by remote means. With the introduction of airborne 
lasers it is now possible to not only measure the 
terrain surface reflection but also to quantify 
surface roughness or height variations. As shown by 
Schreier et al (1984), Krabill et al (1984) and 
Schreier et al (1985) terrain height variation can be 
determined with a pulsed airborne laser reaching 
vertical accuracies of better than 20 cm and a newer 
model laser as indicated by Jepsky (1986) has shown 
even greater accuracy. In this way tree height 
measurements and tracings of the canopy of individual 
trees is readily possible. The laser generates an 
active energy source and laser amplitude or reflec 
tion measurements can be carried out simultaneously 
with the height measurements and this provides a new 
dimension in detailed terrain assessments by remote 
sensing. The surface roughness or height component 
is of particular interest in vegetation studies which 
involve biomass determinations, species identifica 
tions, nutrient deficiency assessment through foliage 
analysis, and assessment of toxicity or plant stress 
for geochemical prospecting. Another application 
where the assessment of roughness is of importance is 
in the analysis of soil fertility where the surface 
structure and cultivation pattern at the soil surface 
has a profound influence on reflection. 
Current lasers operate at single narrow wavelength 
bands and in order to fully exploit this technology 
multispectral laser capabilities need to be explored. 
It is the aim of this paper to first document the 
results of airborne laser test flights so as to 
emphasize the laser capabilities at a single wave 
length band. The second aim is to provide background 
information for spectral properties which are essen 
tial for the development, application and use of 
multispectral airborne lasers. Examples from the 
airborne laser test flights focus on vegetation 
applications, while the quantification of soil types 
for fertilizer assessments is emphasized in the 
second aim. 
2.1 Description of laser system 
A gallium arsenide laser built by Associated Controls 
and Communication Inc. (ACCI) was used in this study 
The system operates at 904 nm wavelength, has a 
pulse rate of 2000 pps and a peak power output of 
80 watts. In order to provide optimum ground 
coverage and to facilitate data verification an 
inertial navigation system, a photogrammetric camera, 
and an airborne data acquisition system were inter 
linked with the laser. The footprint of the laser 
covered an area of 50 x 50 cm on the ground. 
2.2 Terrain assessment with the airborne laser 
The system was tested for height and reflection 
accuracy over the National Research Council photo 
grammetric test site in Sudbury and the research 
forest at the Petawawa National Forestry Institute. 
As reported elsewhere (Schreier et al 1984) average 
height accuracies between 10 and 24 cm were obtained 
by the airborne laser. A wide range of vegetation 
could be differentiated on the basis of reflection 
measurements alone and this in spite of the limita 
tion of using a single wavelength frequency. 
An example of the dual capability of height and 
reflection measurement is provided in Figure 1 which 
shows a height and reflection profile of a mixed 
forest transect at the Petawawa research station. 
As indicated in Figure 1 grass, broadleaf, and 
coniferous trees could be separated by reflection 
measurements alone but the height profile clearly 
facilitates the interpretations since some broadleaf 
trees reflect the near infrared energy at a rate 
similar to some of the understory vegetation. An 
additional component which helps in the interpreta 
tion is the fact that the laser penetrates the coni 
fer tree canopy much more frequently than the broad 
leaf tree canopy. This gives a more spiky tree 
profile for spruce and pine trees and a more rounded 
profile for maple and poplar trees which in fact 
reflects the tree structure. Using a very high pulse
	        

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