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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:
Field experience with different types of remote-sensing data in a small-scale soil and land resource survey in southern Tanzania. T. Christiansen
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

. For. Res. 
Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
t Interpreta- 
g von Fichte 
JLlgem. Forst 
Dwarfmistle- 
tains of New 
Aspects of 
g of actual 
ng und Luft- 
ihre Erfas- 
n, E. and G. 
irben wissen. 
pp. 97-111. 
tigations to 
onditions of 
r irginia Agr. 
he spruce in 
)gy Bull. 28, 
)ocumentation 
1. J. Forest 
Acid deposi- 
nd Tech. 17: 
ruce budworms 
USDA Forest 
stry Service 
tatus of the 
and Tennes- 
v. State and 
-1-1, 12 pp. 
tates trees, 
. USDA Misc. 
sel zur Aus- 
mr die Wald- 
Lts 39:1093- 
en, and W.M. 
if red spruce 
, Forest Pest 
i, Fort Col- 
worth. 1985. 
• forests of 
—Mt. Rogers 
>untains and 
l Appalachian 
:t, 67 pp. 
[ahrer. 1981. 
iterpretation 
L.) auf mit- 
len. Memoirs- 
Forsliche 
.and 57:433- 
lmann. 1982. 
Mountains of 
.09:162-168. 
1966. Aerial 
lg damage by 
est Service, 
Exp. Sta., 
, M. Miller- 
ative survey 
ind mortality 
lire - 1984. 
a, NA-TP-11, 
italitat des 
s Bundesins- 
80 pp. plus 
Field experience with different types of remote-sensing data 
in a small-scale soil and land resource survey in southern Tanzania 
T.Christiansen 
Agrar- und Hydrotechnik GmbH, Essen, FR Germany 
ABSTRACT: During a small-scale agro-ecological land resource and soil survey for the Iringa Region in south 
ern Tanzania the advantages and imperfections of black & white panchromatic aerial photographs and two types 
of Landsat MSS imagery (standard false-colour composites, colour-enhanced imagery) were examined. Both types 
of satellite imagery turned out to be of little use in areas with high rainfall (900 - 1600 mm) and a dense 
vegetation cover, but they gave very good information in drier parts of the survey area (550 - 900 mm). The 
aerial photographs contributed little information on the flat parts of the drier areas. They were most useful 
in an intermediate zone with complex relief. Colour interpretation keys for the satellite imagery of selected 
areas were compiled. The results indicate that the validity of such keys is generally limited to relatively 
small, agro-climatically homogeneous areas. 
RESUME: Au cours d'une étude à petite échelle portant sur les sols et les ressources agro-écologiques de la 
Région d'Iringa dans le Sud de la Tanzanie, ont été comparés les avantages et inconvénients respectifs de 
photographies aériennes panchromatiques noir et blanc et de deux types d'images-satellite Landsat MSS (compo 
sitions colorées, l'une avec fausses couleurs standard et l'autre avec accentuation des couleurs). Les deux 
types d'images-satellite se sont révélés être peu utiles dans les zones à pluviométrie élevée (900 - 1600 mm) 
et à dense couverture végétale, mais par contre ont apporté beaucoup d'informations dans les zones plus 
sèches (550 - 900 mm). Les photographies aériennes n'ont livré que peu d'informations dans les zones sèches à 
relief très aplani. Par contre, elles ont été d'un grand intérêt dans une zone modérément humide à relief 
complexe. Des clés d'interprétation des couleurs des deux types d'images-satellite ont été élaborées pour 
deux zones sélectionnées. Il en ressort que la validité de telles clés d'interprétation est généralement res 
treinte à des zones peu étendues et agro-écologiquement homogènes. 
1. INTRODUCTION 
For a long time soil surveyors have successfully 
been utilizing remote sensing data for small-scale 
soil and land resource surveys. A considerable num 
ber of publications already exist about the appli 
cation of aerial photographs and satellite imagery 
for this type of mapping (Allan 1978, Carrol 1984, 
Goosen 1967, Hilwig 1982, Mathews et al. 1973, 
Nieuwenhuis 1978, Siegal and Goetz 1977, Thompson 
et al. 1984, van Sleen 1983, Westin and Frazee 
1976). 
Relatively little, however, is published about 
the question of how different types of remote sens 
ing data stand the test in daily routine work and 
what their respective advantages and shortcomings 
are in different climatic and physiographic areas. 
During a small-scale survey of a large area in 
southern Tanzania some interesting field experience 
was gained which might help to reduce this informa 
tion gap. 
2. THE SURVEY AREA 
The survey area is located in the southwest of 
Tanzania. It comprises the Iringa Region except 
from the Ruaha National Park in the northwest and 
the Eastern Forest Reserve in the northeast of the 
region. The area totals about 46,000 sq km (by com 
parison: Switzerland 41,288 sq km). 
The area includes strongly different altitude le 
vels, landscapes and climates. It ranges from hot 
semi-arid savanna areas with Acacia-thornbush vege 
tation at 500 metres altitude up to warm -températe 
tropical highlands with tea plantations and alti 
tudes of almost 3,000 metres. For African standards 
the area is comparatively densely populated. 
The soils of the survey area vary from saline 
dark and red loams and dark cracking clays at the 
lower elevations up to very leached red and yellow 
clays at the higher altitudes. In some areas soils 
have developed from volcanic ash deposits. 
3. THE SURVEY: BACKGROUND, TASKS AND WORKING CONDI 
TIONS 
A land resource map (scale 1:250,000) and a soil 
map (scale 1:100,000) had to be produced within the 
frame of a regional agricultural development plan 
for the Iringa Region. The survey had to be carried 
out under typical consulting conditions, i.e. very 
tight schedule, almost no preparation time and li 
mited base information. 
The most important survey details are summarized 
in the following table. 
Table 1. Survey Details 
Land 
Resource 
Survey 
Soil 
Survey 
Total time available 
(man-months) 
6 
19 
Fieldwork time 
(man-months) 
3 
12 
Number of surveyors 
2 
3 
Observation density 
no specific. 
1/1000 ha 
Survey output p>er 
mapping day 
900 sqkm 
300 sqkm 
Time for fieldwork 
preparation 
1 day / 
1 day / 
4200 sq km 
600 sq km 
The survey followed a two-step procedure: in the 
first step a map was compiled of agro-ecological 
zones and land units. This map was mainly based on 
the evaluation of climatic data, interpretation of 
satellite imagery, and a reconnaissance field sur 
vey. Beside the climatic information this map also 
includes some major soil boundaries. In a second 
397
	        

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