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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:
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
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

321 
Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
On the estimation of the condition of agricultural objects 
from spectral signatures in the VIS, NIR, MIR and TIR wavebands 
R.Sôllner, K.-H.Marek & H.Weichelt 
Central Institute for Physics of the Earth, Academy of Sciences of the GDR, Potsdam 
H.Barsch 
Pedagocial University, Potsdam, GDR 
ABSTRACT: During the Interkosmos-Experiment KURSK-85 the biometric indices of different 
crops in the Kirov collective farm v/ere used as a measure for their productivity which 
the interpretation of spectral signatures can refer to. A productivity criterion, 
derived from the spectral signatures in the VIS, NIR, MIR and TIR wavebands was used for 
the differentiation of the crops. The groups of vitality obtained in this way are in 
good correspondence with the ground reference data. 
1 SURVEY APPROACH 
The information value of remote sensing 
data of agricultural objects exceeds by 
far the ascertainment of the size and the 
spatial distribution of the sowing areas 
and furthermore permits the recognition 
of differentiation levels in the state of 
crops, their spreading and their proportions 
of the entire area. Partly this is already 
possible with the interpretation of the 
spectral signatures of the agricultural 
targets in the red band of the visible 
light (VIS) and in the near infrared 
spectral band (NIR). In this connection 
much more extensive and complex information 
is derivable if additionally the spectral 
signatures of the medium (MIR) and thermal 
infrared (TIR) as well as the microwave 
band (MW) are registered (cf. among 
others BAR SC H, MAREK, S'ÜLLNER , WEICHELT 
1984 ; BAUER, VANDERGILDT, ROBINSON 1980; 
MIGUET, BARET, GUYOT 1983; VASILEV, 
KACINSKI 1984). The interpretation of 
these signatures demands an efficient 
physical model for the diagnosis of the 
connection between Geophysical plant 
features and the spectral signatures. For 
the deveploment and the qualification of 
these model conceptions the terrestrial 
measurements of these features have to be 
related to the remote sensing data. 
In the Interkosmos Programme experimental 
surveys for the designation of the yield 
formation of crops with remote sensing 
data are therefore carried out on different 
survey levels (VASILEV, VEDESIN 1933). 
Accordingly the application of aerospace 
as well as terrestrial sensors for spectral 
signature measurements in VIS, NIR, MIR, 
TIR and MW-band was coupled with pedological 
and biometrical soil testing during the 
Interkosmos Experiment KURSK-85. The 
contribution of the GDR to that experiment 
was concentrated on the participation in 
terrestrial soil and biogeographical 
surveys and in spectral signature 
measurements in the lower survey levels, 
especially trajectories. 
2 METHODOLOGY AND RESULTS OF TERRESTRIAL 
SURVEY 
In the forest steppe, north and south of a 
communication road, which 25 km south of 
Kursk branches off the main motorway Moscow- 
Kursk-Charkov in easterly direction and 
crosses the loess-territory of the 
collective farm Kirov, soil 
(chernozem) and vegetation samples from 
12 fields were taken at a length of about 
5 km. This was done at altogether 27 test 
spots because differences in the stock 
density and the plant development within 
the and plots had to be taken into 
consideration. The designation of 
components of the yield formation through 
soil and vegetation features was partly 
immediately carried out on the terrain 
(soil colour, stock density, stock height, 
phenology, drilling clearance, humid mass 
of soil and plant), partly it was done in 
the laboratory of the Kursk research 
station of the Geographical Institute of 
the USSR Academy of Science (dry residue 
of soil and plant, crop.index spectro- 
metrically after HOLM and LEFORT, leaf 
area index - LAI) C 
The results show fig. 1, 2. 
The consideration or the spatial 
differentiation of the soil features made 
clear that the highest indices of the 
soil humidity, the KUK and the content 
of organic substances, the best humus 
quality and the darkest colours of the 
upper soil are to be found in the centre 
of the loess plates. Sites at the margin 
of the plates, marked here by the working 
plots 56, 57 and 58 as well as (at the 
roots of erosion hollows) the working 
plots 36 and 42, show significant 
degradation symptoms of the soil in the 
loess black earth through lower indices. 
But here, too, the pedological parameter 
still show a high soil fertility. The 
boundary conditions for the yield forma 
tion here result from the climate, espe 
cially from the shorter duration of the 
vegetation period in comparison to Central 
Europe (185 daily means above 5°C, 130 
days above 10°C) and the high summer 
evapot ranspiration.
	        

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