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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:
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

483 
Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
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er-Verlag. 
Farm development using aerial photointerpretation 
in Ruvu River Valley, Ragamoyo, Tanzania, East Africa 
B.P.Mdamu & M.A.Pazi 
Ministry of water energy & minerals project preparation division, Tanzania 
ABSTRACT: Soil survey study using romote sensing techniques is important in agricultural 
development planning. Aerial photography has to be enhanced in acquiring accurate soil 
and other natural resources maps. Aerial photographs were used to delineate soil bounda 
ries of a 10,000 acre farm at Maktirunge Village in Bagamoyo district. The virgin wood 
land project area lies approximately 6.5 and 6.75» South and between 38*5 and 39«0 
East. Rainfall is bimodal with intervening short dry season. Landscape mapping was phy- 
siographically done using 1:50,000 aerial photographs taken in 1966. Landforms were 
almost flat alluvial plain and undulating coastal plain» The soils originated from sedi 
mentary and metamorphic rocks with alluvium deposits. After collecting and analysing a 
total of 206 soil samples, a soil map was compiled at a scale of 1:10,000. Analytical 
data revealed that soils were non-saline with reasonable amounts of available phosphorus, 
nitrogen and organic matter. Proper soil management practices are essential in improving 
the soil conditions. 
1. INTRODUCTION 
1.1. Purpose of the study 
Agriculture is the backbone of Tanzania's 
economy. In 1982 the government outlined 
a national agricultural policy which was 
aimed at foods self sufficiency in the co 
untry. In implementing the policy a nu 
mber of firms government and private, sta 
rted to open up newland for development. 
One of the areas opened up being Makurunge 
Farm in Bagamoyo district. 
However, in order to be precise in land 
planning and soil fertility management 
soils had to be tested scientificaly and 
evaluated. The Project Preparation Divi 
sion in the Ministry of Water, Energy and 
Minerals was requested to carry out a Semi 
detailed soil survey of 10,000 acres and 
make recommendations on the soils potenti- 
lity and fertility status. The field soil 
survey was started on 6th August, 1984 and 
ended up on 4 th September, 1984. A total 
of 52 soil profiles were dug and described 
and 206 soil samples collected for Chemical 
analyses. Therefore this paper is a result 
of the conducted soil survey and the soil 
analyses conducted to determine the soils 
physical and chemical characteristics and 
their suitability to agricultural purposes. 
1.2. Site Location 
The Makurunge farm is in Bagamoyo district 
l6.0km. South West of Bagamoyo township. 
It is bordored in the East by Ruvu riveTr, 
in the south by Msumbiji river, in the No 
rth and North West by the Old Makurunge 
Village. It extends between latitudes 
6.5 south and 6.75 South, and between lo 
ngitudes 38.5° Bast and 39.00° East. The 
area also lies within the coastal belt of 
the Indian ocean and its altitude is within 
200 meters above sea level. Most of the 
area is a virgin woodland w r i th bush. It 
consists of two landscapes namely:- 
1. The coastal plain area and 
2. The Alluvial flood plain. 
In general the entire area has a more or 
less low uniform relief with drainage va 
lleys. 
1.3« Climate 
This area has two rain seasons. The heavy- 
long rains begin in March and end in June 
whereas the short rains normally start in 
October and December. The rains are cau 
sed by the movement of the Inter Tropical 
Convergence zone (ITCZ) over the area. The 
convergence zone moves across the area in 
October when the belt is shifting from the 
Northen hemisphere to the South and some 
time in January when the belt moves from 
the southern hemisphere to the North. The 
duration of the short and long rains de 
pends upon the fluctuations of the belt 
over the area. 
The climatological data obtained from 
Bagamoyo town meteorological station which 
is situated l6.0km East of the Makurunge 
Farm and fo\ind within the same elevation 
of the project area, indicates that the 
mean annual rainfall is between 800 and 
1000mm. The highest rainfall is received 
in April with a precipitation of about 
286.9mm. A pronounced dry season starts 
in June to September. There is a short 
dry season from January to Mid March. The 
average mean tempre is 24.5 C. (figure 2). 
1.4 Geology of the area 
The geological substratum of the region is 
underlain by rocks of the kainozoic system 
which is stratigraphically made up of se 
dimentary and metamorphic rocks. The flood 
plain valley is dominated by recent alluv 
ial material deposited by the river during 
floods. Which consist of silt clay and 
raregravels. The coastal plain area is 
made up of sedimentary and metamorphic 
rocks with interbedded sandy clays and 
scattered gravels; calcareous materials 
are found in some localities at deeper 
depths (l00-150cm) e.g pits number 4-13» 
25-29 (Appendix 1).
	        

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