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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:
Monitoring of renewable resources in equatorial countries. R. van Konijnenburg, Mahsum Irsyam
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

yellowing and finally harvesting. 
Figure 2 gives an outline of the proposed system. 
An initial data base of potential rice producing 
units has to be assembled. The irrigation unit, with 
its uniform irrigation and vegetation timescale, 
could be used as a base unit. This database will be 
filled by data from satellite imagery, aerial 
photography and fieldwork. The accuracy of this 
database is therefore not exclusively depending on 
the geometrical accuracy and resolution of satellite 
imagery. The operational 
system will then use the satellite data to identify 
whether the fields are actually irrigated and wether 
rice is growing and being harvested. 
4.3 Assessment of yield and detection of pests and 
diseases 
Apart from the identification of rice fields, remote 
sensing can also be used to detect the ratio between 
the high yielding varieties and the convential varie 
ties. Possibly a further detailed subdivision in 
these varieties could be made, but this has to be 
studied. 
In areas where crop diseases or pests are 
occurring, crop development monitoring can be used to 
determine the spread of the disease. To make disease 
and pest monitoring possible, the effect of the 
disease should be such that crop colour and 
associated structure have changed to such a degree, 
that the image interpreter can conclude that the 
cause of the change in crop appearance and associated 
patterns, should be attributed to the outbreak of a 
disease or pest. This information could be used to 
improve the efficiency of field surveys and of the 
measures to bring the diseases and pests under 
control. 
It is expected that the high repetition of obser 
vation in combination with the high spatial 
resolution and the spectral band selection optimized 
for vegetation monitoring, can provide an excellent 
tool for crop disease and pest control. 
The information on the extent of pests and 
diseases, in combination with the information on the 
distribution of the different rice varieties, can 
improve the yield forecasts and estimates. The 
related benefits are the reduction of production 
losses and the improved efficiency of pest control by 
a reduced usage of pesticides. On the basis of remote 
sensing data an early warning system could be 
established in order to minimize economic losses due 
to pests and diseases. 
5 UTILISATION PREPARATION PLAN 
Remote sensing as a source of information is already 
used by a number of organizations in Indonesia (e.g. 
Public Works, Transmigration, Forestry, Environment, 
Central Bureau of Statistics, Bakosurtanal). The 
projects of these organisations will benefit from the 
direct reception of Landsat images by the LAPAN 
groundstation, which will be operational in the near 
future. In the past these images arrived with long 
delays (and often too late) from foreign stations. By 
upgrading the station in the future, it will be 
possible to receive also the high resolution images 
from Landsat 5 and Spot and lateron possibly TERS. 
A requirement exists for an overall approach to the 
application of remote sensing techniques in 
Indonesia. Part of this should be an inventory of the 
present practical applications of remote sensing in 
Indonesia. In a large number of projects remote 
sensing methods are already used as an important 
source of information, especially in those cases 
where other sources of data, like topographic maps 
are outdated. In a stepwise development of remote 
sensing all the different available sources of data 
should be used in an integrative approach. 
Important steps are designated by the present 
Landsat station, for the reception of MSS data, 
becoming fully operational and the updating of this 
station to X-band for the acquisition of high 
resolution data like Landsat Thematic Mapper (TM) and 
Spot. On the one hand this station will supply data 
for applications (and research) and on the other hand 
it will produce on the job training in the handling 
of large datastreams as will be provided by most 
future satellites. 
Although no requirement exists for a centralized 
remote sensing institute, a coordinated national 
effort is required to develop the remote sensing 
techniques into operational tools for the Indonesian 
development programs. The platform for such a 
national program for the development of remote 
sensing is already available in the different 
organisations involved in the research and 
development as well as in the practical use of remote 
sensing. 
6 CONCLUSIONS 
Preliminary analysis of potential benefits of a 
satellite remote sensing system with the capability 
to monitor crops and forests indicates that multi 
million dollar benefits may be expected. Such a 
system is not yet in existence, but from imagery of 
present satellites the feasibility of realising these 
benefits can be demonstrated. Further studies are 
pursued in order to substantiate these findings and 
to arrive at conclusions, if and when such a multi 
million dollar investment for a dedicated equatorial 
earth observation system for the monitoring of 
renewable resources is justified. 
REFERENCES 
Mears, L.A. 1981. The New Rice Economy of Indonesia. 
Yogyakarta, Gadjah Mada University Press. 
Central Bureau of Statistics. 1982. Statistical 
Yearbook of Indonesia. Jakarta. 
Central Bureau of Statistics. 1981. Products Tanaman 
Bahan Makanan di Jawa. Jakarta. 
Malingreau, J.P. 1980. A Detailed Indonesian Case 
Study. Berkeley. 
Malingreau, J.P. 1983. Remote Sensing in Indonesia, a 
Review of the Available Technology and its 
Applications of Resources Surveys. Berkeley. 
Machin Ervan 1981. Use of Remote Sensing for Crop 
Production Estimation in Indonesia. Jakarta. 
Machin Ervan et al 1980. Remote Sensing for 
Indonesia, Agricultural Assessment: Evaluation 
Report for Pilot Survey in Lampung, Sumatra. 
Jakarta 
Cyril Ponnamperuma 1984. A case for the remote 
sensing of rice. Lausanne, IAF.
	        

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