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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:
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:
Mangrove mapping and monitoring. John B. Rehder, Samuel G. Patterson
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

our research team to analyze and map cate 
gories of: red fringe, red riverine, black 
and mixed mangroves in addition to 
categories of upland and marsh ecosystems / 
sand and beach / and man-made surfaces of 
roads and urban developments. By compari 
son, in the Butera study Landsat MSS data of 
digitally mapped categories revealed black 
mangroves / mixed mangroves / a category 
called damaged mangroves because of hurri 
cane damage / water / other / and un 
classified. At no time was there a clear 
indication of the presence of red fringe or 
red riverine mangrove patterns. 
We realize that these are uneven compari 
sons based on differences in image scale, 
resolutions of 80 meters compared to 
resolutions of from 3 to 10 meters. All of 
which means that with these types of data, 
if one needs to investigate mangroves up 
close, then one must move close to the 
subject through the use of higher resolu 
tion aircraft imagery. In future research, 
we expect that the 30 meter Thematic Mapper 
Landsat data will be of greater use to us 
than the MSS data have shown and even may be 
comparable to high altitude aircraft data. 
2.2 Geographic Information Sysyterns (GIS) 
Aircraft imagery from 1952, 1962, 1973, and 
1984 were scaled to a common scale of 
1:24,000,interpreted and mapped for mangrove 
species and communities, and digitized into a 
GIS data base. Map overlays were initially 
produced from manually interpreted aircraft 
imagery in black and white and color infrared. 
The mangrove species and communities of red 
fringe, red riverine, black mangrove, mixed, 
and upland categories were delineated onto 
mylar overlays. The completed mylar overlays 
were then manually digitized on a Calcomp 
digitizer and entered into a GIS on an ERDAS 
(Earth Resources Data Analysis System). The 
pixel cell size of the digitized maps was 10 
meters. 
A matrix analysis was used to produce 
statistical comparisons between maps for 
different dates. Matrix analysis allowed for 
cross references and comparisons to be made 
for each pixel for each map for any combi 
nation of dates from 1952, 1962, 1973, and 
1984. The digital mapping of Marco Island 
provided a retrievable data base as a GIS 
that could be continually updated as eco 
systems and landcover changed. Such data 
bases, enabled us to inventory several cate 
gories of mangrove as well as landcover and 
to calculate acreages of change. 
3. CHANGE DETECTION 
A major concern has been the destruction of 
mangrove ecosystems by residential and com 
mercial development in the Marco Island area. 
As part of our work with aircraft data we 
completed a series of analyses of change 
detection. Four time periods were analyzed: 
1952, 1962, 1973, and 1984. 
The Marco Island inventory of mangrove com 
munities and landuse provided calculations of 
category descriptions and acreages. A clear 
trend showed a decline in mangrove acreages 
and an increase in the areal extent of resi 
dential and commercial land development. 
Comparisons between maps xor tne dates oi 
1952, 1962, 1973, and 1984 provided visual 
and statistical proof of changes in areal 
extent and distribution that have occurred to 
the categories of: mangrove communities/ 
converted or urban/ and "other land". 
Mangroves changed from a total acreage of 
11,285 in 1952 to a total of 8,577 in 1984. 
This represented an areal decrease of 2,708 
acres of mangroves in the 32 year period. In 
terms of species, black mangrove experienced 
the most dramatic changes over the 32 year 
period. Black mangroves changed from 4,250 
in 1952 to 2,344 in 1984. The net loss was 
1,906 acres. Despite the rapid growth and 
change in the area, mixed mangroves did not 
show large declines in acreage. Mixed man 
groves occupied 4,755 acres in 1952 and 4,495 
in 1984. This became a net loss of only 260 
acres. However,this is a misleading figure 
as categories changed and were offset by the 
natural expansion of the mixed mangrove 
category into areas formerly occupied by pure 
stands of black mangrove. The red fringe 
mangrove communities were reduced by 206 
acres by the changes between 1,390 acres 
for 1952 to 1,184 acres in 1984. 
The precipitous decline in the "other land" 
category from 3,506 acres to 845 acres be 
tween 1952 and 1984, was the result of water 
front development which began in 1962 but 
escalated in the 1969 through 1973 period. 
The net decline in "other land", pre 
dominantly uplands, was 2,661 acres. The 
change in the uplands was the most striking 
in that nearly all changes were the result of 
the land development of Marco Island. The 
uplands changed from 2,508 acres in 1952 to 
553 acres in 1984, with a net loss of 1,955 
acres. 
4. CONCLUSIONS 
Mangrove ecosystems of the Marco Island area 
were successfully mapped through the use of 
remote sensing and GIS techniques. Changes 
in the areal extent of the mangrove com 
munities were successfully identified with 
respect to man-induced disturbances. Between 
the years of 1952 and 1984, the total of 
mangrove acreages declined by 2,708 acres. 
Uplands were reduced by 1,955 acres. But 
developed urban residential and commercial 
property, increased by 5,102 acres at the 
expense of some important nutrient producing 
mangrove areas. 
Although mangroves are prime land for 
certain coastal developments, they are also 
vital to marine estuarine ecosystems. 
Knowledge of mangrove productivity in 
detrital(leaf litter) export for fisheries 
and map information on the distribution and 
areal extent of each mangrove community would 
enable researchers to estimate the ecological 
significance of site-specific disturbances. 
The areal extent of Florida's mangroves, and 
the ratio of black, mixed, red fringing, and 
red riverine must be measured and mapped in 
order to examine the ecological impacts of 
coastal development. 
The primary objective of this research has 
been to demonstrate the remote sensing and 
mapping techniques that best provide the 
necessary details for mangrove species and 
community analysis. Although Landsat MSS 
data provide adequate information on the 
broadest areal coverage, we must still rely 
on aircraft data for proper species identifi 
cation until such time we can determine the 
full capabilities of Landsat TM data for 
mapping the mangrove ecosystems for Florida 
and ultimately for much of the world's 
tropical mangrove regions.
	        

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