Remote sensing for resources development and environmental management: Remote sensing for resources development and environmental management

Damen, M. C. J.

Bibliographic data

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

355 Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 Remote sensing in the evaluation of natural resources: Forestry in Italy Eraldo Amadesi & Rodolfo Zecchi Geography Department, Bologna University, Italy Stefano Bizzi & Roberto Medri Consortium CISET-Advanced Computer Systems, Rome, Italy Gilmo Vianello CSSAS-Experimental Centre of Land Research and Analysis, Bologna University, Italy ABSTRACT: Presented here is a methodology adopted for the process recognition and the surface evaluation of this type of forest in Italy. This methodology is based on satellite imageries and aerial photos, previous the construction of a "ground point net", the definition of the "interpretation keys" and the "spectral response patterns" related to the forestry legend classes. RESUME: On présente une méthodologie d'étude pour le levé et l'évaluation de la surface de forêt et des bois en Italie. La méthodologie développée, se basant sur l'etude des images et l'analyse des spectrales signatures de satellite Landsat TM comparées avec 1'interpretation photographique et les contrôles sur le terrain, amène à la classification et à la delimitation de forêt et des bois. NTROOUCT10N The necessity of constructing, in a short period of time, a map showing the wooded or forest areas of the entire country on a scale of 1:100,000 was met using the methods of photointerpretation and teledetection. The determination of the legend for this map was done based on the information available from the interpretation of aerial photographs and analysis of images obtained via satellite (Table 1). For this purpose, aerial photographs o Italian territory taken after 1982 were used. Since recent aerial photographs were not always available, it was felt worthwhile, for some Regions, to undertake experiments involving the interpretation of suitably elaborated satellite produced images, in particular those coming from Landsat-5 "Thematic Mapper" sensor. The experimental work has shown that, if suitably processed, the satellite images can give satisfactory results for the mapping of wooded or forest areas. The procedure followed for the study is reported, schematically, in Table 2. METHXCLCGY l phase: calibration of the inteoretative keys Once the area under study had been delineated on territorial map of the "Istituto Geografico Militare" (I.G.M.) on a scale of 1:100,000, "sample windows' were then established, reasonably distributed throughout the area under study such that all the different situations occurring in that area were taken into consideration. This initial verification is possible, obviously, by consulting pre-existing aerial photographs and thematic maps. When this initial analysis was completed, the next step was to proceed with extensive photointerpretation of each of the “sample windows", using more recent aerial photographs. The experiments carried out allowed verification of how a correct analysis of the satellite images from Landsat 5 (resolution at ground level around 30 x 3C meters) requires prior calibration via photointerpretation of sufficiently extensive, non puntiform areas or of individual pixels. Optimum results using these calibrations are obtained with "windows" on the earth in a double photographic "models" on a scale of around 1:30,000 and corresponding approximately to a surface area of 48 Km 2 . This new method of study and territorial analysis differs substantially from preeciding methods based more or less on puntiform calibrations or calibrations limited to small areas. In our case, where it was necessary to locate and homogenize a large number of wooded and forest formations covering the entire national territory from north to south, including the islands, with considerable differences in latitude, elevation and climate, only an extensive calibration such as that proposed could give qualitatively valid results. The size of the “windows", therefore, was conditioned by and related to the necessity of studying an area large enough to include the greatest possible number of wooded or forest formations, taking into consideration the time of day of satellite images acquisition over Italian territory (9:30 a.m. GMT), the time ol year in which the images were taken and the specific local environmental conditions (elevation, exposition, slope of the hills, etc.). After the photointerpretation work, specific field studies must be made, with the two-fold objective of controlling the correspondence on the ground ol the interpretations made and determining precise reference points for successive elaboration. The control on the ground, for sample areas, satisfies the requirement of testing the accuracy of the maps drawn. FORMATION FORMAZIONE GCVEFNAMBTTGCVERNO CADUCEOUS (prevalent beech) CADUCIFOGLIE (a prevalenza di faggio) mature wood fustaia coupse ceduo CADUCEOUS TREES (prevalent oak, chestnut, hornbeam) CADUCIFOGLIE (a prevalenza quercie, castagno, cerpino) mature wood fustaia coupse ceduo EVERGREEN MEDITERRANEE (ilex, cork-oak) LATIFOGLIE SEMPREVERDI MEDITERRANEE (leccio, sughero) mature wood fustaia coupse ceduo CONIFERS CONIFERE REAFFORESTATION RMBOSCH1MENT1E POPOLAMENTI ARTIFICIALI BUSHY LAND I f CESPUGLIETI, ARBUSTETI, MACCHIE 1 WOOD PLANTATIONS (popoiar-wood, eucalyptus-wood) PIANTAGIONI ARBOREE DA LEGNO | P (pioppeti, eucalipteti) Mixt wood formations are indicated with the double marks: the first one is referred to the prevalent wood formation. Le formazioni miste vengono indicate con la doppia siglatura: la prima lettera indica la formazione prevalente. TABLE 1 - Legend of the forestry map (Scale 1:100,000)

Access restriction

Copyright

fullscreen: Remote sensing for resources development and environmental management (Volume 1)

Multivolume work

Volume

Chapter

Chapter

Table of contents

Cite and reuse

Volume

Chapter

Image

Image fragment

Citation links

Citation recommendation