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:
An integrated study of the Nairobi area - Land-cover map based on FCC 1:1M. F. Grootenhuis & H. Weeda, K. Kalambo
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

447 
The mountain area (M) occurs above 2100 m 
with contour-lines close together, slopes 
>5% with parallel drainage. 
The slope area (S) ranges from between 
1500-1800 to 2100 m, the general slope is 
<5% with parallel drainage. 
The escarpment area (E) ranges from 1800- 
2100 m and is relatively flat with internal 
drainage. 
The plains (P) form the lowest elevation 
category below 1500-1800 m, slope <2% and a 
dendritic drainage pattern. 
In the mountain, area and the slope area, the 
altitude declines from NW-SE giving contour 
patterns with a SW-NE trend. The slope area 
has a very dissected appearance with the 
streams flowing to the SE giving a striking 
texture to the whole of this zone. The es 
carpment, the eastern edge of the Gregory 
Rift, is a distinct zone with an abrupt ele 
vation change marked by clear fault lines 
visible on the image. The plains in contrast 
are flatter and characterized by much less 
striking features. Vegetation is closely 
associated with these zones and provides more 
detail within these broad physiographic cate 
gories. 
For the landscape planner, this background 
knowledge of the physiography, is of great 
importance for constructing a viable plan. 
Land-use and proposed land-use must be appro 
priate to the whole bio-physical environment, 
and in the case of Nairobi, this cannot be 
properly understood without a perception of 
the physiography. Related to the physio 
graphic zones are variables such as climate, 
vegetation and soils which control human 
activity and ultimately establish land values, 
3.2 Land-cover map 1:1M (Figure 4) 
The checking of the map in the field provided 
information on the location and character of 
the identified boundaries. The upper and lo 
wer boundaries of zone M, S,- E anti P could be- 
verified, but other boundaries within these 
zones were also visible. In some cases, the 
boundaries are a transition between forest 
and agriculture which is never very clear; 
foresters cultivate crops and farmers grow 
trees. Other boundaries between slopes (S) 
and plains (P) are very clear where large 
Table 
2. Photo-tones 
of the land 
-coven map 
Symbol 
Phototone 
Land cover 
Location 
M1 
dark red, 
red patches 
forest 
Aberdare Range 
M2 
red, light yellow 
rangeland 
forest 
Ngong Hills 
E 
green mottled 
rangeland 
W of Nairobi 
light yellow 
yellow brown 
red 
bright red 
built up 
agriculture 
forest 
Limuru Road 
S1 
light red 
light yellow 
(small patches) 
agriculture 
N£ of Limuru 
S2 
green 
agriculture 
red mottled 
yellow 
built up 
Kikuyu 
Kiambu area 
S3 
bright red 
Kahawa 
green 
agriculture 
Ruiru 
red mottled 
yellow 
black 
built up 
water bodies 
Thika area 
S4 
bright red 
pink 
yellow (few spots) 
agriculture 
dairy 
SE of Limuru 
S5 
brownish red 
built up 
Nairobi 
yellow/brown 
blue (few spots) 
agriculture 
range land 
forest 
Ngong area 
P1 
yellow brown 
blue/brown/green 
rangeland 
Athi Plains 
P2 
bright blue 
yellow/brown 
(small patches) 
built up 
Nairobi 
P3 
green/yellow 
bright red 
brown 
rangeland 
agriculture 
between 
Nairobi and Thika 
P4 
brown agriculture 
bright red 
yellow/brown rangeland 
(all' in small patches) 
01 Donyo Sabuk 
Ruiru area 
Figure 4. Land-cover map. 
scale irrigated coffee plantations have been 
established. Informal settlements at the out 
skirts of Nairobi City, small scale farms and 
pastoral settlements form a transition and 
not a sharp line. The escarpment area (E) is 
more clearly delineated by the geographical 
features producing differences in physio 
graphic characteristics. 
These variations in vegetation and land- 
use visible on the satellite image, led to 
the realization that the original four ?ones 
could be further sub-divided into nine land- 
cover zones, based on differences in texture 
and tone (Table 2) 
In the mountain area (M) two zones were 
distinguished. M1, on the slope of the Aber- 
dares, this is a zone of forest plantations 
and mixed indigenous forest. M2, the Ngong 
Hills, which is a zone of grasslands with 
small forest remnants (Photo 1 and 2).
	        

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.

What color is the blue sky?:

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