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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:
1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
Airphoto map control with Landsat - An alternative to the slotted templet method. W. D. Langeraar
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

lines (cut through the jungle after the photos are 
flown), can be exactly reconstructed. 
Considering the quality of the provided airphotos 
in terms of variations in scale and tilt, the 
slotted templet method was in this case found to 
yield unsatisfactory results, even though the 
assembly of templets was fitted to pass-points 
identified and linked to traverses by 
Euroconsult's topographical team. Although the 
location and orientation of each individual 
airphoto was in theory in this way fixed relative 
to the planimetrie map of traverses, in actual 
fact it appeared that locations of field 
observations could not always be traced back. This 
was especially valid for parts of the terrain 
remote from pass-points. 
2.2 Use of Landsat 
Since the Australian Landsat Station (ALS) went on 
stream early in 1981, ample coverage by Landsat 
MSS imagery of southern Irian Jaya has become 
available. Although Landsat has been around since 
1972, up to the establishment of ALS only a 
one-time acquisition of the region existed and 
then mostly covered with clouds. In recent years, 
however, consultants operating in the area have 
had at their disposal more and more cloud-free 
Landsat MSS imagery to complement and connect the 
existing scattered blocks of aerial photography. 
As will be shown below, with this development 
the most important mapping constraint mentioned 
above was overcome by Euroconsult. Landsat MSS 
bulk processed photographic products appeared 
sufficiently true to scale and shape as to serve 
as planimetric control for the construction of 
airphoto-derived basemaps. 
3 THE SLOTTED TEMPLET METHOD 
3.1 Principles 
The method is based on the assumption that 
directions to objects, when reckoned from the 
centre of a vertical aerial photograph, are 
constant under all conditions of elevation 
difference and scale change. Under this principle 
a scale adjustment can be made for a block of 
photographs by allowing corresponding points on 
adjacent airphotos freedom of movement away from 
and towards their centre points. The block of 
airphotos can thus be adjusted to scale, by making 
it fit a number of control points (Slama et al, 
1980). 
The slotted templet method is a mechanical 
solution based on this principle. Although this 
method is obsolete as regards modern 
photogrammetric triangulation, in practice the 
slotted templet method is often still used in the 
field as the best option open to achieve a more or 
less usable result (depending on the quality of 
the photography). 
3.2 Conditions for use 
A prerequisite for the proper working of slotted 
templet method is that the centres (principal 
points.) should more or less coincide with the 
nadir points of the airphotos. Another condition 
is that the individual scales of the photos should 
not fluctuate too much. In other words, the aerial 
photographs should be flown carefully, with 
minimum tilt and altitude variations. 
Unfortunately, this is not always the case with 
aerial photography made available to consultants 
working in developing countries. In addition to 
the fact that tilt and scale variations hamper the 
use of the slotted templet method, the method also 
requires a tremendous amount of time and patience 
to physically assemble the entire set of templets. 
4 THE LANDSAT AIRPHOTO MAP CONTROL METHOD 
4.1 Principle 
The principle on which the Landsat airphoto map 
control method is based, is the merging of 
Landsat's high planimetric accuracy over large 
areas, with the high local detail of aerial 
photographs. 
Ideally, merging of these two characteristics is 
best done by registration of the airphoto onto the 
Landsat scene with a rectifier. Next, the settings 
which compensate tilt and scale are freezed. 
Finally, the airphoto is blown-up to basemap 
scale. Though airphoto and Landsat can be matched 
optimally in this way, the procedure clearly is 
not suited for application under field conditions. 
As a result, we have resorted to an approach in 
which corresponding control points are sought on 
Landsat scene and airphotos. This basically 
approximates the above procedure. It is this 
technique that is described in the next Section. 
4.2 Description 
The following is a step-by-step guide on how to 
use Landsat in combination with airphotos to 
produce a basemap under field conditions. 
* A Landsat scene covering the area of study is 
ordered in a conveniently large scale. (At ALS, 
1/I6th of an MSS scene can be ordered at a scale 
of 1/50 000 in false-colour, with excellent 
results.) The date of aquisition should be close 
to that of the aerial photography to facilitate 
the next step. 
* Salient landmarks discernible on both airphoto 
and Landsat are pinpointed and allocated a number. 
* Temporary and arbitrary x-y coordinates of the 
points, scaled off the Landsat scene with the aid 
of translucent millimetre grid on a stable base, 
are multiplied by the scale ratio factor so that 
the points can be plotted on the basemap scale 
(nominal photo scale). The resulting matrix of 
points serves as a field of control points for the 
assembly of the air photographs in a map. 
* A minimum of three control points per airphoto 
is required in order to correct not only scale but 
also tilt variations. More than three control 
points enable a better check on compatibility 
between Landsat and corresponding airphoto points 
and increase the matching accuracy between Landsat 
and airphoto. 
* In actual practice an optical pantograph can 
best be used to mate the control points on the 
airphotos with their corresponding points on the 
basemap. Pantographs that allow the introduction of 
a certain amount of distortion are to be preferred 
(e.g. the Stereo Facet Plotter by O.M.I.) as they 
make it possible to approximately adjust for 
obliquity. 
* Using this instrument the principal points of 
the photographs can be transferred to the basemap, 
including all relevant geographic information 
visible on the aerial photographs. 
The resulting map contains pertinent, highly 
detailed, geographic information true to scale and
	        

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