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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:
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
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
Application of multispectral scanning remote sensing in agricultural water management problems. G. J. A. Nieuwenhuis, J. M. M. Bouwmans
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
  • 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
  • Remote sensing in the evaluation of natural resources: Forestry in Italy. Eraldo Amadesi & Rodolfo Zecchi, Stefano Bizzi & Roberto Medri, Gilmo Vianello
  • Visual interpretation of MSS-FCC manual cartographic integration of data. E. Amamoo-Otchere
  • Optimal Thematic Mapper bands and transformations for discerning metal stress in coniferous tree canopies. C. Banninger
  • Land use along the Tana River, Kenya - A study with small format aerial photography and microlight aircraft. R. Beck, S. W. Taiti, D. C. P. Thalen
  • The use of multitemporal Landsat data for improving crop mapping accuracy. Alan S. Belward & John C. Taylor
  • Aerial photography photointerpretation system. J. Besenicar, A. Bilc
  • Inventory of decline and mortality in spruce-fir forests of the eastern U.S. with CIR photos. W. M. Ciesla, C. W. Dull, L. R. McCreery & M. E. Mielke
  • Field experience with different types of remote-sensing data in a small-scale soil and land resource survey in southern Tanzania. T. Christiansen
  • A remote sensing aided inventory of fuelwood volumes in the Sahel region of west Africa: A case study of five urban zones in the Republic of Niger. Steven J. Daus & Mamane Guero, Lawally Ada
  • Development of a regional mapping system for the sahelian region of west Africa using medium scale aerial photography. Steven J. Daus, Mamane Guero, Francois Sesso Codjo, Cecilia Polansky & Joseph Tabor
  • A preliminary study on NOAA images for non-destructive estimation of pasture biomass in semi-arid regions of China. Ding Zhi, Tong Qing-xi, Zheng Lan-fen & Wang Er-he, Xiao Qiang-Uang, Chen Wei-ying & Zhou Ci-song
  • The application of remote sensing technology to natural resource investigation in semi-arid and arid regions. Ding Zhi
  • Use of remote sensing for regional mapping of soil organisation data Application in Brittany (France) and French Guiana. M. Dosso, F. Seyler
  • The use of SPOT simulation data in forestry mapping. S. J. Dury, W. G. Collins & P. D. Hedges
  • Spruce budworm infestation detection using an airborne pushbroom scanner and Thematic Mapper data. H. Epp, R. Reed
  • Land use from aerial photographs: A case study in the Nigerian Savannah. N. J. Field, W. G. Collins
  • The use of aerial photography for assessing soil disturbance caused by logging. J. G. Firth
  • An integrated study of the Nairobi area - Land-cover map based on FCC 1:1M. F. Grootenhuis & H. Weeda, K. Kalambo
  • Explorations of the enhanced FCC 1:100.000 for development planning Land-use identification in the Nairobi area. F. Grootenhuis & H. Weeda, K. Kalambo
  • Contribution of remote sensing to food security and early warning systems in drought affected countries in Africa. Abdishakour A. Gulaid
  • Double sampling for rice in Bangladesh using Landsat MSS data. Barry N. Haack
  • Studies on human interference in the Dhaka Sal (Shorea robusta) forest using remote sensing techniques. Md. Jinnahtul Islam
  • Experiences in application of multispectral scanner-data for forest damage inventory. A. Kadro & S. Kuntz
  • Landscape methods of air-space data interpretation. D. M. Kirejev
  • Remote sensing in evaluating land use, land cover and land capability of a part of Cuddapan District, Andhra Preadesh, India. S. V. B. Krishna Bhagavan & K. L. V. Ramana Rao
  • Farm development using aerial photointerpretation in Ruvu River Valley, Ragamoyo, Tanzania, East Africa. B. P. Mdamu & M. A. Pazi
  • Application of multispectral scanning remote sensing in agricultural water management problems. G. J. A. Nieuwenhuis, J. M. M. Bouwmans
  • Mangrove mapping and monitoring. John B. Rehder, Samuel G. Patterson
  • Photo-interpretation of wetland vegetation in the Lesser Antilles. B. Rollet
  • Global vegetation monitoring using NOAA GAC data. H. Shimoda, K. Fukue, T. Hosomura & T. Sakata
  • National land use and land cover mapping: The use of low level sample photography. R. Sinange Kimanga & J. Lumasia Agatsiva
  • Tropical forest cover classification using Landsat data in north-eastern India. Ashbindu Singh
  • Classification of the Riverina Forests of south east Australia using co-registered Landsat MSS and SIR-B radar data. A. K. Skidmore, P. W. Woodgate & J. A. Richards
  • Remote sensing methods of monitoring the anthropogenic activities in the forest. V. I. Sukhikh
  • Comparison of SPOT-simulated and Landsat 5 TM imagery in vegetation mapping. H. Tommervik
  • Multi-temporal Landsat for land unit mapping on project scale of the Sudd-floodplain, Southern Sudan. Y. A. Yath, H. A. M. J. van Gils
  • Assessment of TM thermal infrared band contribution in land cover/land use multispectral classification. José A. Valdes Altamira, Marion F. Baumgardner, Carlos R. Valenzuela
  • An efficient classification scheme for verifying lack fidelity of existing county level findings to cultivated land cover areas. Yang Kai, Lin Kaiyu, Chen Jun & Lu Jian
  • The application of remote sensing in Song-nen plain of Heilongjiang province, China. Zhang Xiu-yin, Jin Jing, Cui Da
  • Cover

Full text

494 
properties would be of great importance for crop 
monitoring ('CROPSAT': Bouwmans 1985). At present 
technical and economical constraints make such a 
solution rather unlikely. The data produced by the 
LANDSAT-TM scanner and the SPOT satellite does al 
ready put a serious challenge to the current proces 
sing capabilities of both satellite operators and 
users. This is notwithstanding the request dependent 
coverage of both satellites. For the time being ap 
plication of MSS-techniques in humid regions with 
intensive land use, as in the Netherlands, will main 
ly depend on airborne sensors. 
sensing. Deelrapport 4, remote sensing studiepro- 
ject Oost-Gelderland. Nota 1542. Institute for 
Land and Water Management Research, Wageningen. 
85 pp. 
Tucker, C.J. 1977. Use of near infrared/red radiance 
ratios for estimating vegetation biomass and 
physiological status. Proc. 11th int. symposium of 
remote sensing of environment 1:493-494. 
REFERENCES 
Badhwar, G.D., J.G. Carnes & W.W. Austin 1982. Use of 
LANDSAT-derived temporal profiles for corn - soy 
bean feature extraction and classification. Remote 
Sens. Environ. 12:57-79. 
Batista, G.T., H.M. Hixson & M.E. Bauer 1985. LAND- 
SAT-MSS crop classification performance as a func 
tion of scene characteristics. Int. J. Remote 
Sensing 6,9:1521-1533. 
Belmans, C., J.G. Wesseling & R.A. Feddes 1983. Simu 
lation model of the water balance of a cropped soil: 
SWATRE. J. Hydro1. 63:271-286. Techn. Bull, ns 21. 
Institute for Land and Water Management Research 
(ICW), Wageningen. 
Bouwmans, J.M.M. 1985. Practical application of remote 
sensing techniques in water management problems, 
state of the art. Proc. Intern, workshop on hydro- 
logic applications of space technology. Cocoa 
Beach, Florida, August 18-23 (in press). 
Crist, E. & W. Malila 1981. A technique for automatic 
labeling of LANDSAT agricultural scene elements by 
analysis of temporal-spectral patterns. Proc. 15th 
intern, symposium on remote sensing of environment. 
Ann Arbor, Michigan:1227-1236. 
Feddes, R.A., P.J. Kowalik & H. Zaradny 1978. Simula 
tion of field water use and crop yield. Simulation 
Monographs. PUDOC, Wageningen. 189 pp. 
Jackson, R.D., R.J. Reginato & S.B. Idso 1977. Wheat 
canopy temperature: a practical tool for evaluating 
water requirements. Water Res. Res. 13:651-656. 
Kok, A. 1984. Studie naar de effecten van grondverbe- 
tering in de veenkoloniën met remote sensing. Nota 
1532. Institute for Land and Water Management Re 
search (ICW), Wageningen. 50 pp. 
Laat, P.J.M. de & R.H.C.M. Awater 1978. Groundwater 
flow and évapotranspiration; a simulation model. 
Part 1. Theory. Basisrapport Commissie Bestudering 
Waterhuishouding Gelderland. Provinciale Waterstaat 
van Gelderland, Arnhem. 64 pp. 
Nieuwenhuis, G.J.A., E.H. Smidt & H.A.M. Thunnissen 
1985. Estimation of regional évapotranspiration of 
arable crops from thermal infrared images. Int. J. 
Remote Sensing 6,8:1319-1334. 
Seguin, B. & B. Itier 1983. Using midday surface tem 
perature to estimate daily evaporation from satel 
lite thermal IR data. Int. J. Remote Sensing 4,2: 
371-383. 
Soer, G.J.R. 1977. The TERGRA model - a mathematical 
model for the simulation of the daily behaviour of 
crop surface temperature and actual évapotranspira 
tion. Nota 1014. Institute for Land and Water 
Management Research (ICW), Wageningen. 44 pp. 
Spaans, J.H. 1985. Studie naar de invloed van leemla- 
gen in de ondergrond op de vochtvoorziening van 
gras en mais in een gebied nabij Rucphen (West- 
Brabant); de toepassing van remote sensing technie- 
ken en hydrologische modelberekeningen. Nota 1696. 
Institute for Land and Water Management Research, 
Wageningen. 57 pp. 
Thunnissen, H.A.M. 1984a. Eenvoudige méthode voor de 
bepaling van de régionale gewasverdamping. Deelrap 
port 6, remote sensing studieproject Oost-Gelder- 
land. Nota 1580. Institute for land and Water 
Management Research, Wageningen. 39 pp. 
Thunnissen, H.A.M. 1984b. Hydrologisch onderzoek: 
toepassing van hydrologische modellen en remote
	        

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