Retrodigitalisierung Logo Full screen
  • First image
  • Previous image
  • Next image
  • Last image
  • Show double pages
Use the mouse to select the image area you want to share.
Please select which information should be copied to the clipboard by clicking on the link:
  • Link to the viewer page with highlighted frame
  • Link to IIIF image fragment

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

Access restriction

There is no access restriction for this record.

Copyright

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:
Farm development using aerial photointerpretation in Ruvu River Valley, Ragamoyo, Tanzania, East Africa. B. P. Mdamu & M. A. Pazi
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

485 
Boundary 
Boundary 
Road 
toad 
site 
;entre - ( City ) 
) 60Kms 
Line 
Figure 2- Monthly temperature ana 
raintall data of Bagamoyo area 1978 ,1981 & 1984 
moyo 
irial photo- 
ire a Vi'as 
le on ove- 
L n 1966. 
Lte the fact 
:>il survey 
iat diffe- 
; photogra- 
,md on the 
se and ve- 
ince 1966 
taken). 
v as quite 
Lmatt photo- 
In total 
nple ting 
;s were 
jrial-photo- 
t of scale 
1H00,000 was used as base map for establi 
shing landscape boundaries. Also a contour 
map was jointly used to delimit the lands 
capes. 
2.2. Reconnaissance field survey 
A one day reconnaissance survey was condu 
cted to the farm area inorder to i aniilia- 
lize with the landscapes and thus access 
the soils occuring in different parts of 
the farm. During the survey the following 
factors were observed. 
1. The area was found to be in accessi 
ble due to tall grass vegetation (elephant 
grass). These occupied the whole flood 
plain area. On the coastal plain, woodland 
with bushes and thorny tall trees were 
the main vegetation. The floodplain area 
also had some abandened water logged mars 
hes. 
2. The vegetation being tall thorny 
trees and thick bushes, intensive ground 
clearing was necessary to enable the crew' 
to move freely through the farm. 
3. All parts of the project area were 
inhabited by wild animals and reptiles 
thus an experienced game scout was needed 
to safeguard the team during the exercise 0 
2.3. Aerialphoto Interpretation 
Physiographic analyses method (FA0, Goosen 
D.I967) was used in mapping the units. 
Photo elements which were considered most 
were relief drainage pattern, vegetation, 
and colourtone (grey tone). During field 
work the mapping units were further ins 
pected to check soils boundaries as well 
as the interpretation. The map unit bou 
ndaries were finaly transfered to a topo 
graphical map of scale 1:100,000 by hand. 
Two mainlandtypes were mapped from the 
photos. 
1. The Alluvial flood plain - (a) 
The topography is generaly nearly level 
and flat but with local scars and meanders 
of ponded marshes. On the photographs 
the unit was charcterized by dark tone 
depicting of wetness on the ground (caused 
by flooding). The vegetation was chara 
cterised by tine texture of grass vegeta 
tion. 
2. The Coastal plain (C) 
The topography is gently undulating to 
undulating with few defined inter mittent 
stream valleys which enter the alluvial 
flood ¡»lain. The woodland vegetation was 
visualized on photos by coarse light grey- 
t one . 
2.4. Legend 
The legend reflects the kind of survey 
which has been made. As has been dismissed 
previously, the boundaries between mapping 
units were established by topographical 
features observed on the photographs and
	        

Cite and reuse

Cite and reuse

Here you will find download options and citation links to the record and current image.

Volume

METS METS (entire work) MARC XML Dublin Core RIS Mirador ALTO TEI Full text PDF DFG-Viewer OPAC
TOC

Chapter

PDF RIS

Image

PDF ALTO TEI Full text
Download

Image fragment

Link to the viewer page with highlighted frame Link to IIIF image fragment

Citation links

Citation links

Volume

To quote this record the following variants are available:
Here you can copy a Goobi viewer own URL:

Chapter

To quote this structural element, the following variants are available:
Here you can copy a Goobi viewer own URL:

Image

To quote this image the following variants are available:
Here you can copy a Goobi viewer own URL:

Citation recommendation

Damen, M. .C. .J. Remote Sensing for Resources Development and Environmental Management. A. A. Balkema, 1986.
Please check the citation before using it.

Image manipulation tools

Tools not available

Share image region

Use the mouse to select the image area you want to share.
Please select which information should be copied to the clipboard by clicking on the link:
  • Link to the viewer page with highlighted frame
  • Link to IIIF image fragment

Contact

Have you found an error? Do you have any suggestions for making our service even better or any other questions about this page? Please write to us and we'll make sure we get back to you.

How many letters is "Goobi"?:

I hereby confirm the use of my personal data within the context of the enquiry made.