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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:
Photo-interpretation of wetland vegetation in the Lesser Antilles. B. Rollet
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

Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
499 
Photo-interpretation of wetland vegetation in the Lesser Antilles 
B.Rollet 
Office National des Forêts, Basse-Terre, Guadeloupe, France 
ABSTRACT: The wetlands of Guadeloupe are typified through photo interpretation on panchromatic 1:20000 flown in 
1984 and earlier. Examples of interpreted photos are given and discussed. 
Geomorphology is a useful approach. Field observations for checking and collecting additional data especially 
on soils are indispensable before producing an ecological map. 
RESUME: Les terres basses de Guadeloupe sont classées en types de végétation par interprétation de photos 
aériennes panchromatiques au 1:20000 prises en 1984 et antérieurement. On donne des exemples de photos inter 
prétées et commentées. La géomorphologie est une approche utile mais des observations de terrain sont indis 
pensables pour vérifier avant extrapolation et pour prendre d'autres données, en particulier sur les sols 
afin d'établir une carte écologique. 
1 INTRODUCTION 
Wetland vegetation is understood in a broad sense 
i.e. a vegetation under the influence of periodic 
inundation (fresh or seawater) or with poor drainage.; 
this includes mangroves, Pterocarpus and open swamps 
with 0 to 10 ? salinity submitted to tides or perma 
nent inundation during 6 to 8 months a year. Inun- 
dable pasture lands are discarded. 
2 WETLAND VEGETATION TYPES 
The following is distinguishable on 1:20000 panchro 
matic : 
- Mangrove as a whole and its subtypes 
- Pterocarpus swamp forest 
- Dry deciduous or semi evergreen forest on karst 
Chrysobalanus thicket, sedge and fern swamps 
- Mudflat with algal cover, saltflats. 
Minor types, essentially woodlands or thickets are 
not readily recognizable : Hibiscus tiliaceus, 
Thespesia populnea, Conocarpus erectus, Annona 
glabra, Symphonia globulifera ; Dalbergia monetaria, 
Montrichardia along rivers. 
3 PHOTO INTERPRETATION 
In Guadeloupe available airphotos are 1:20000 pan 
chromatic flown by IGN in 1962-63, 1968-69, 1982, 
1984, also 1:50000 in 1950; and on limited areas 
1:10000 colour taken by ORSTOM. The same applies 
to Martinique except that false colour 1:20000 was 
flown is 1975 (chanteur et al, 1980). 
The scale 1:50000 is indadequate to map distinct 
forest types within mangroves but mature monospe 
cific stands on large areas are recognizable (young 
stages much less so). Rules of generalization are 
necessary to map the innumerable mixtures of age- 
classes and species in a readable way. The identi 
fication of small areas e.g. 5 mm diameter of thickets 
woodlands and forests will not be possible generally 
for all the species enumerated above. 
Detailed field checks are always necessary. 
Cyperaceae (Cladium, Eleocharis, Rhynchospora) and 
fern swamps (Acrostichum, Nephrolepis) are well 
recognized as a whole but the species are difficult 
to separate even with the help of ecological consi 
derations. Unless there is a need for agriculture 
(disease detection, yield prediction), it is unli 
kely that special photography will be used for 
forestry only. 
Concerning the main vegetation types the situation 
is much brighter. Pterocarpus forests are easy 
to delimitate in general ; they show a dark velvety 
tone when crowns are fused ; emergents, irregularly 
open stands, transition zones, food crops beneath 
the forest introduce differences in the normal 
pattern. Large patches are quasi monospecific but 
quite often there is an assemblage with scattered 
rainforest species (Ficus, Symphonia, Cassipourea, 
Maytenus guianensis), and sometimes with Rhizophora 
(northern bank of the lower course of Grande Rivière 
à Goyaves or Laguncularia (west of Rivière Salée), 
in all cases undetectable. 
Mangroves can be subdivided fairly easily when 
stands are pure and mature : Rhizophora mangle 
is almost black, Avicennia germinans is salt and 
pepper (white with grey dots), Laguncularia racemosa 
is darker than Avicennia. Young stages of the three 
species are indistinct, pale grey, getting progres 
sively darker for Rhizophora when stands grow older. 
False colour is available in Martinique (not 
in Guadeloupe). Chanteur et al (1980) mention that 
Rhizophora and Laguncularia come out red, Avicennia 
blue, Conocarpus blue grey. Young stages are not 
distinguishable. These results confirm the findings 
in Mexico (Rollet, 1974) except that on 1:10000 
Conocarpus was rather purple grey. 
On colour photos 1:10000 Avicennia is pale green, 
more yellowish than the two other species, not 
very distinct. On mature stands Rhizophora is bottle 
green, Avicennia yellow green, Laguncularia grey 
green easily mistaken for Rhizophora in mixtures. 
Mudflats come out white or mauve. The use of colour 
is questionable because of the extra cost for a 
limited additional information. 
False colour is an obvious breakthrough for spot 
ting Avicennia pure or in mixtures. Another device 
is needed to separate Laguncularia from Rhizophora. 
Undergrowths are not seen in most cases so that 
succession escape interpretation. Ill or decaying 
trees turn blue in false colour, in particular 
Rhizophora (Rollet, 1974), a source of misinterpre 
tation. Other mistakes will be avoided with some 
care : water bodies may be black or white in pan 
chromatic according to sun reflection and should 
not be taken for saltflats or mudflats. Film proces
	        

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