Proceedings of the Symposium on Global and Environmental Monitoring: Proceedings of the Symposium on Global and Environmental Monitoring

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Persistent identifier:: 856665355

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts ; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856665355

Language:: English

Document type:: Multivolume work

Volume

Persistent identifier:: 856669164

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Scope:: XIV, 912 Seiten

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856669164

Illustration:: Illustrationen, Diagramme, Karten

Signature of the source:: ZS 312(28,7,1)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

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:: [FA-3 FOREST DAMAGE]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: Comparison of Landsat Thematic Mapper and Airborne Thematic Mapper Simulator Data for Forest Damage Assessment. C. Banninger

Document type:: Multivolume work

Structure type:: Chapter

Landsat TM and NSOOl TMS Spectral Bands Both the Landsat Thematic Mapper and NSOOl Thematic Mapper Simulator sensor systems measure reflected radiation in the visible to shortwave infrared wavelength region (400 - 2500 rim) that conveys information on the state of health and vitality of a plant canopy. The airborne NSOOl TMS is the precursor instrument to the spaceborne Landsat TM, and differs from the Thematic Mapper only slightly in channel bandwidths and in the presence of an additional channel in the near-infrared spectral region. Tables 1, 2, 3, and 4 briefly describe the Landsat and NSOOl sensor systems (Slater, 1980, NASA, 1986) and the plant properties measured by their respective spectral bands (Tucker, 1978). The most significant difference between the two instruments is the nominal 30 m ground spatial resolution or instantaneous field of view (IFO V) of the Landsat TM sensor versus the flying height dependent, but generally 5 - 15 m GIFOV of the NSOOl TMS sensor. It is this factor that can give rise to marked variations in the spectral response characteristics of vegetation canopies recorded by the two sensor systems. Data Collection, Integration, and Analysis During the summer of 1986, NASA acquired NSOOl Thematic Mapper Simulator data from several test areas in Austria, including the stressed Norway spruce forest used as a test site for this study. Stress symptoms in the spruce stand are manifested primarily as a reduction in canopy biomass, as determined by DBH-based measurements of leaf area indices (LAI’s) obtained from 10-m diametre sample plots spaced at 50-m intervals over the test site and reformatted to a LAI isopleth map. Landsat TM data from June 1984 (Banninger, 1985) and NSOOl TMS data from July 1986 (Banninger, 1990) were co-registered to the LAI isopleth map and the weighted average of canopy LAI values calculated for each TM and TMS pixel corresponding to the Norway spruce forest, using an appropriately scaled 36-point dot grid for the TM and a 12-point dot grid for the TMS data sets. A pairwise linear regression analysis between TM and TMS pixel values and twenty-nine TM and TMS single and transformed bands (Table 5) selected for their ability to measure specific plant biochemical and biophysical properties statistically defined those bands and transformations which best discriminated stress in the Norway spruce canopy. TMS bands 4 and 5 measure similar plant properties and therefore only band 4 was used in the analysis. Before their inclusion in any computations, the TM and TMS bands were processed to remove the atmospheric haze component incorporated in their radiance values (Crane, 1971). Both data sets represent mid-morning acquisition times and nadir or near-nadir situated pixels relative to the field of view of the repective instruments. Results and Conclusions Although Landsat TM and NSOOl TMS spectral bands have almost identical band cen tres and bandwidths, TM data gave overall better results in the descrimination of stressed versus non-stressed areas in the Norway spruce forest, whereas TMS data performed better at delineating stressed parts of the canopy, but at the expense of including a significant number of non-stressed areas within the stressed group. Normalised difference, band difference, and the simple band ratio incorporating bands 1 and 4 proved overall best in detecting canopy stress for both the TM and TMS data sets employed in the analysis, as did the TM band difference utilising bands 3 and 4 and the TMS first principal component. The TM vegetation indices, however, ranked higher statistically than those of comparable TMS indices. 858

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