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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:
Remote sensing in the evaluation of natural resources: Forestry in Italy. Eraldo Amadesi & Rodolfo Zecchi, Stefano Bizzi & Roberto Medri, Gilmo Vianello
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

gray-levels (extracted from band 5 of the original Thematic Mapper scene), for a 
better readlblllty of the results. In alternative, the output Is presented on a 
transparent support for the superlmposltlon on a topographic map. 
Ill phase: application of the methodology to a sample area 
As a first model of the application of the methodology described here, ar 
area was chosen (around 3200 Km^) south of the Via Emilia corresponding to the 
ridge of the Tuscan-Emillan Appennlnes, In which the following features are 
found from east to west: the principal hydrographical basis, mountains and hills 
of the Savena, Reno, Samoggia, Panaro and Secchla rivers. The area Is of great 
Interest to the study since It contains several wooded and forest formations lr 
different morphological and climatic conditions. The aerial photographs used tc 
establish the Interpretative "windows" were taken from photos made by I.G.M. lr 
1982 and 10 double stereoscopic models were Interpreted In this way taking Intr 
account that each photogram was on a scale varying from 1:30,000 to 1:25,000. 
Landsat Thematic Mapper Imagery were chosen of two dates: December 82 and 
August 84. Preliminary analysis of the Images suggested the exclusion of the 
winter scene from the process, because of the deep shadows and low dynamic. Thr 
comparison between the forest thematic maps elaborated on the basis of 
satellite Images and those obtained from photointerpretation on this sample area 
was more than good, In fact, In most cases the results of the two different 
methods of study coincided on the scale of 1:100,000 (see Tab.4 ). 
Water 
99.0% 
Urban 
97.4 % 
Agriculture 
97.0 % 
Conifers ( C in Tab. 1) 
96.7 % 
Caduceous ( Q and a in Tab.1) 
92.1 % 
Caduceous ( F and f in Tab. 1) 
88.1 % 
Waste land / bush (A in Tab. 1) 
86.4 % 
Overall classification accuracy 
91.4% 
AMADESI E., GIORGI G., VIANELLO G., 1982 - An investigation methodology for 
territorial studies In unknown areas (East 
Kallmantan-TImur, Indonesia). International 
Archives of ISPRS, v. 24 - VII/1, Toulouse. 
AMADESI E.. CASALICCHIO G., VIANELLO G„ 1984 - Methodology of environmental 
research for new settlements In the Eastern 
Sulawesi (Indonesia). International Archives of 
Photogrammetry and Remote Sensing, v. XXV/ A7 
Rio de Janeiro. 
AMADESI E., VIANELLO G., ZECCHI R., 1985 - La teledetezione nella valutazione 
delle risorse naturali: forestazione In Italia. XXI 
convegno AlC-Poster Session, Roma. 
AMERICAN SOCIETY OF PHOTOGRAMMETRY, 1983 - Manual of Remote Sensing v.ll 
Falls Church, Virginia. 
ASPIAZU C., 1977 Application of Landsat-1 data to crop area and 
yield estimates, forest Identification, and soil 
classification In IOWA. IOWA State University. 
REGIONE EMILIA-ROMAGNA, 1976/80 - Carta d'utlllzzazlone reale del suolo In 
scala 1:25.000, Bologna. 
VIANELLO G., 1980 La cartografia dell'utilizzazione reale del suolo 
come strumento di base per la corretta gestione 
del territorio, CNR-P.F. Qualità dell'ambiente, S.P. 
Descrizione Ecosistemi, AC/1/124-129, Roma. 
ENERGETIC FINALIZED PROJECT, SUBPROJECT WOOD AND 
AGRICOLTURE, C.N.R., ITALY 
TAB 4. Classification accuracy on all the test areas 
CONCLUSIONS 
The proposed methodology, based on the calibration with data obtained 
from field surveys of a "sample windows" extended to an area contained In a 
double photographic model on a scale of about 1:30,000, has been shown valid for 
the Identification ot wooded and forest formations by photointerpretation 
methods. 
The experimental application of the most recent techniques of 
tele-surveying, using sultablly elaborated Images supplied by the Landsat 5 
satellite, has given results which consents the extension of this methodology tc 
those regions not completely covered by recent aerial photographs. 
On the basis of the results obtained, compatible with the times of release 
of the new aeras photographed by the I.G.M. and with data trasmitted to the earth 
by Landsat 5, the research for the realization of a thematic map on the scale of 
1:100,000 of the national patrimony In wooded and forest regions will be 
extended to the entire national territory using the photointerpretation method foi 
the Regions covered by flights made after 1982 and the remotely sensed satellite 
data for those Regions where recent aerial photographs are not available. 
BIBLIOGRAPHY 
AMADESI E., VIANELLO G., 1976 - Use of false colour photos for a concrete 
utilization territory (land use) map. XII congress 
of ISP, Helsinki.
	        

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