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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:
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

Table 1« Electrical Conductivity Standards for plant growth. 
487 
ELECTRICAL 
2 
Saturation 
extract 
CONDUCTIVITY mmhos/cm 
at 25°C 
1:5 soil to water 
suspension 
RELATIVE LEVEL OF 
SOLUBLE SALTS 
PLANT GROWTH RESPONCE 
2 
0.1 
Low non saline 
No injury to plants . 
2-4 
0.1-0.4 
Medium slightly 
saline. 
Very salt sensitive plants may 
be injured. 
cc 
1 
-cr 
0.4-0.75 
High moderately 
saline. 
Injurious to salt sensitive plants 
8 
0-75 
Excessive strongly 
Very injurious to many plants of 
any age only salt tone cant crops 
can grow. 
2. \vith regard to soils fertility in 
almost all of the soil profile sites samp 
led and analysed, the soils have a defici 
ency of sodium, potasium, calcium and ma 
gnesium. It is therefore necessary to 
raise the levels of the macronutrients by 
the application of fertilizers. From the 
soils analytical data, also the soils have 
reasonable amounts of available phosphorus, 
nitrogen and organic matter. 
3. The soils in the study area range from 
deep sand, excessively drained, (northwest 
part of the farm) to sandy clay loams (in 
the middle part of the farm). They were 
classified as canbic Arenosols, utric 
gleysols (mapping unit c). The Alluvial 
flood plain consists of deep poorly drai 
ned heavy clay soils. They were classified 
as Eutric Fluvisols, Utricgleysols and 
pellic Vertisols (mapping Unit A). 
REFERENCES 
CIDA, 1979. Coast Dar es Salaam Regions 
Water Master Plan Report Vol. B. Land 
Resource s. 
Goosen D, 1967. Aerial photointerpretation 
in soil survey SOIL Bui. 6 FAO Rome. 
Nyle C. Brady 1968. The Nature and 
Properties of soils. 
4. CONCLUSION 
1. 
From the analyti 
cal re 
sul 
t s 
, it can 
be con 
eluded tha 
t the 
f e r t i 1 
ity 
0 
f the 
soil i 
s 1 ok e s p e 
cially 
in th 
e c 
oa 
stal 
plain 
area. How r 
ever , 
d e pe nd 
ing 
u 
pon the 
crops 
to be plan 
ted t h 
e alluvia 
1 
plain 
area n 
eeds littl 
e fort 
ilizat 
ion 
• 
2. 
Due to the 
fine 
textur 
e 0 
f 
the soils 
in the 
alluvial 
flood 
plain, 
wa 
te 
r does 
not dr 
ain easily 
. Ser 
ious d 
ama 
ge 
may be 
caused 
to heavy 
soils 
by plo 
rgh 
in 
g when 
soil s 
are too w r e 
t. Th 
is c au 
ses 
i 
mpemeable 
pans , 
compac tion 
and s 
mearin 
g « 
ff 
ect of the 
soils. 
Therefor 
e i t i 
s reco 
mmend 
ed that 
proper 
farming methods 
, use 
of 
th 
e required 
f armin 
g machines 
and i 
mpleme 
nt s 
shotild be 
ad opte 
d in order 
to pr 
e serve 
go 
od 
soil 
struc t 
ure . 
( 
3. 
Soil manag 
ement 
practi 
ces 
«. g . 
instal 
lation of 
an und 
ergrou 
nd 
ti 
le d r a- 
inage system) aimed at improving the 
soils drainage would be necessary. 
4. Fairly accurate and economical soil 
surveys for agricultural development 
planning can be achieved by using aerial 
photographs. Tanzania has good aerial 
photography coverage lor natural resources 
inventories and exploitation. Therefore 
it is recommended that aerial photo inter 
pretation should be user! as a tool in soil 
surveys. 
enforced. 
It has to be emphasized and
	        

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