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

Damen, M. C. J.

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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

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Chapter

Title:: Comparison of SPOT-simulated and Landsat 5 TM imagery in vegetation mapping. H. Tommervik

Document type:: Multivolume work

Structure type:: Chapter

Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 525 Comparison of SPOT-simulated and Landsat 5 TM imagery in vegetation mapping H.T0mmervik Institute for Biology and Geology, University of Tromse, Norway ' ABSTRACT: In this paper I will present some results from work done on both SPOT-simulated imagery and Landsat 5 TM imagery. The testarea is situated in Central Troms, Northern Norway, and has a fairly wide variation in eco logical niches and comprises both forest landscape and mountain areas (Attic alpine vegetation). The ground truth program did include both a traditional vegetation mapping program and a test-site program. Digital image processing was carried out both on the SPOT-simulted imagery and the Landsat imageries, but the scenes were taken too early in the spring or too late in the autumn, to give a sufficient basis for a good classification. The investigation has shown that the Landsat scene from the springtime almost had the same accuracy by super vised classification as the SPOT-simulated imagery, due to the better radiometric resolution for the TM-sensor compared to the simulated HRV-sensor on the SPOT satellite. But classification on the SPOT-simulated imagery showed that the vegetation units within small areas, were better picked out due to the better spatial resolu tion, compared to the TM-sensor on the Landsat 5 satellite. Visual interpretation on the autumn-scene of Land sat 5 TM-sensor gave a successful detection of swamp forests at the riverbanks by using the channel combina tions of CH 456 and CH 543. 1 INTRODUCTION 2.3 Data acquisition In Norway there are very small areas that have been vegetation mapped, and there are in certain areas a very strong need for vegetation-maps as a basis for land use planning. Methods for mapping natural re sources has been strongly develloped the last decades, and one of the most used methods is Remote Sensing. In comparison with personalintensive and conventio nal methods, Remote Sensing from satellite give a good ability for mapping and monitoring the natural re sources, as a result of the great ceverage in area and the ability for repetetive passes. The aim of the present investigation is a comparison of SPOT-simulated and Landsat 5 TM imagery for vegeta tion mapping purposes. 2.0 The study area In this present study I have selected one of the test- areas which was included in the SPOT-simulation prog- ram in Norway 1982. This area called Habafjell-Skrub- ben (Cavarre in Sami language) is situated in the lar gest valleysystem in Central Troms, Northern Norway, and comprises parts of Rostadalen and Dividalen val leys (figure 1). This area has a fairly wide variation in ecologicalniches and most of the common vegetation types in the central part of Troms are represented in the study area. Forests covers about 60 % and alpine vegetation 30 % of the land area (Elven & Vorren 1980) 2.1 Ground truth program The ground truth program did include: 1. Traditional vegetation mapping of the whole study area based both on IR-aerial- and BW-aerial photo graphs . 2. A special training-site program. 3. Phytososiological investigation of the several vegetation types within the study area. 2.2 Fieldwork The fieldwork was carried out during June to September 1983 with supplementary visits to the area in 1984. Two Landsat 5 TM scenes were ordered, the first from 3. june 1984 and the second from 2. October 1984. Landsat 5 TM PASS 197/11 1984-06-03 Time: 09.50.00AM Sunelevation: 42 degrees. Landsat 5 TM PASS 197/11 1984-10-02 Time: 09.46.00AM Sunelevation: 17 degrees Figure 1. The position of the study area, and the most important geographical names mentioned in the text. (Based on Cappelen's map 9-10, 1:400 000).

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