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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:
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

489 
Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
Application of multispectral scanning remote sensing 
in agricultural water management problems 
G.J.A.Nieuwenhuis 
Institute for Land and Water Management Research (ICW), Wageningen, Netherlands 
J.M.M.Bouwmans 
Government Service for Land and Water Use (LD), Utrecht, Netherlands 
ABSTRACT: A method has been developed for the automatical mapping of évapotranspiration from digitally taken 
reflection and thermal images. This method has been tested in combination with field measurements and agro- 
hydrological model calculations. We found that an important improvement of the hydrological description of an 
area can be achieved by combining the remote sensing approach with conventional methods. Especially the spatial 
variation in soil physical characteristics can be determined more accurately by applying remote sensing 
techniques. Satellite and airplane images acquired after a dry period supply information about the occurrence 
of drought damage. Because of the fast changing weather conditions in humid areas like the Netherlands remote 
sensing in water management will mainly depend on scanning techniques from airplanes. 
1 INTRODUCTION 
Remote sensing techniques can be applied to obtain 
information about the hydrological characteristics 
of an area. In a remote sensing study project per 
formed in the eastern part of the Netherlands (East 
Gelderland) we developed a method to automatically 
derive an évapotranspiration map from reflection and 
thermal infrared multispectral scanning images. In 
formation about regional évapotranspiration of crops 
is important for optimal water management in agri 
culture and for the determination of the effect of 
man-made changes in the overall hydrological situa 
tion. 
In the framework of the mentioned study project 
experience is obtained especially with the detection 
of drought damage. From an economical point of view 
prevention of damage caused by excess of water is 
also important in the Netherlands. Untili now only 
Figure 1. Location of the three study areas in the 
Netherlands 
limited experience has been obtained with remote 
sensing like MSS techniques and radar. Probably remote 
sensing images taken directly after the winter period 
can supply information about the regional distribution 
of areas with water excess. At the beginning of the 
growth stage information about excess of water might 
be obtained through differences in germination. 
We are currently testing the usefulness of remote 
sensing to solve water management problems. In several 
projects we are investigating whether the additional 
use of remote sensing is technically and financially 
advantageous in determining the effects of hydrolog 
ical measures. 
In this paper we give an overview of the MSS re 
search. The concerning study areas are indicated in 
Figure 1. 
2 THEORY AND METHODS 
2.1 Relation between instantaneous crop temperature 
and 24 hour évapotranspiration rate 
For the translation of instantaneous to daily values 
the TERGRA-model has been developed (Soer 1977). In 
terpretation of thermal images with the aid of the 
TERGRA-model is rather complicated, however, because 
of the large number of input parameters that are re 
quired. For an operational use of remote sensing 
techniques simplified procedures are of importance. 
For this aim Jackson et al. (1977) related midday 
surface-air temperature differences linearly to 24 
hour évapotranspiration and net radiation values. To 
estimate the slope of this relationship a crop depen 
dent analytical expression has been derived by Seguin 
and Itier (1983). 
With the approach of Jackson absolute estimates of 
crop évapotranspiration are obtained. As heat images 
are mainly applied to determine reductions in évapo 
transpiration this approach has been adjusted 
(Nieuwenhuis et al. 1985). 
The surface air temperature difference in the ap 
proach of Jackson has been replaced by the temperature 
difference that exists between the crop that is 
transpiring under the actual restriction of the soil 
moisture condition and that transpiring under optimal 
soil moisture conditions (T C ~T*). The net radiation 
term was replaced by the 24 hour potential évapotrans 
piration rate of the crop. With this adjustment they 
obtained:
	        

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