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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:
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
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

409 
Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
Development of a regional mapping system for the sahelian region 
of west Africa using medium scale aerial photography 
Steven J.Daus, Mamane Guero, François Sesso Codjo, Cecilia Polansky & Joseph Tabor 
Resources Inventory and Monitoring section, Forestry and Land Use Planning project, Niamey, Niger 
ABSTRACT: In response to an expressed need by the government of the Republic of Niger, a systematic mapping 
procedure was developed to determine the surface area of forest lands in Niger. The objective was to develope 
an approach suitable to: 1) the nature and value of the resources to be mapped and evaluated, 2) the available 
source, or base, data, and 3) the technical capability of the Nigérien forestry personnel. The approach 
included, regional stratification using LANDSAT MSS imagery, collection of ground data, and extrapolation of 
this point specific data to the entire study area with the aid of a photo interpretation key developed for the 
region. 
RESUME: Selon des besoins precise par le governement de la Republique du Niger une procedure de la 
cartographie systématique a était develope afin de determiner la superficie des terrains forestier au Niger. 
L’objective était de établir et mis en oeuvre un system adapte a: la nature et valeur des ressources dresse, 
les données de base disponible, et les capacitees techniques des cadres forestiers du Niger. L'approache 
compris d'une delimitation regionelle a partir des images satellites LANDSAT, collection des données de 
terrain et extrapolation des données des sites jusqu'au niveau de la zone d'etude entire aide par une clef 
standard d'interpretation des photos aeriennes. 
1.0 INTRODUCTION 
The results presented in this paper are those from 
work completed at the Resource Inventory and 
Monitoring (RIMS) section of the Forestry and Land 
Use Planning (FLUP) project. This project is funded 
under the cooperative agreement #683-0230, between 
the United States Agency for International 
Development (USAID) and the government of the 
Republic of Niger (GON). The primary aim of this 
bilateral project is to establish within the 
National Forest Service (NFS) of the GON a unit 
capable of conducting resource inventories and 
provide technical assistance regarding forest 
management practices. This unit, the Office of 
Technical Assistance (OTA), would contribute 
information and technical assistance primarily at 
the planning level within the GON. 
The RIM section was established within the 
structure of the FLUP project in order to: 1) 
develop and implement resource inventory methods 
appropriate to the various information needs of the 
GON, and 2) train GON forestry personnel in the 
planning and conduct of such inventories. It is 
intended that the developed capability of the RIM 
section, both the procedures instituted and the 
personnel trained, will become an integral part of 
the OTA. 
2.0 SURFACE AREA OF FOREST LANDS: A PRIMARY 
INFORMATION REQUIREMENT IN NATURAL RESOURCE PLANNING 
AND POLICY 
A primary information requirement when conducting 
forest resource use and management planning is the 
total area covered by forest vegetation, and it's 
distribution within the area of interest. An 
estimate of 14,000,000 hectares of forested land has 
been put forward, but, this estimate was not based 
on a systematic mapping or estimation procedure and, 
as such, has not been incorporated in specific 
forestry policy or management decisions. The 
provision of this information was identified as one 
of the tasks to be addressed by the FLUP project 
and the RIM section, specifically. 
3.0 DETERMINING THE SURFACE AREA OF FOREST LANDS 
3.1 Selection of the basic approach 
When considering the various alternative 
procedures for determining the surface area of 
forest lands in the Republic of Niger several 
aspects are important. First of all there has been 
very little precedential application of large area 
inventories in the Sahel. Therefore, few 
results exist with which to compare one approach 
with another. A second consideration is the 
combination of the relatively low economic value of 
the resource and it's low concentrations. This 
eliminates from consideration approaches which have 
high costs per unit of area inventoried. A third is 
the appropriateness of the approach in the context 
of the capabilities of the GON forestry personnel 
being trained. The approach cannot include or 
utilize procedures which are highly complicated, 
rely heavily on the judgement and experience of the 
inventory specialists, or require equipment which is 
difficult to operate and/or maintain in conditions 
found in developing countries. Lastly, the approach 
must maximize the use of work and/or source data in 
existence and available. 
The best approach to furnishing this information 
to planning specialists is to produce a map which 
shows geographical distribution, extent and condition 
of forest lands. In arid land conditions, were the 
subject resource is in a very low density and widely 
distributed, and accessibility is a problem, a 
proven method for generating such maps is to 
interpret information from several levels of 
remotely sensed data and combine it with limited 
but highly representative, ground data. This 
approach was used in Mali (PIRT, 1982) and 
successfully produced terrain condition maps over 
the very large study area. The specific approach 
selected for application in the Nigérien situation 
is characterized by the following elements: 
- general stratification of the entire zone, 
creating units of a certain minimum size and 
homogeneity using LANDSAT satellite multispectral 
scanner (MSS) data.
	        

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