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

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Multivolume work

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:: [WP-2 LAND USE AND LAND COVER]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: DIGITAL IMAGE PROCESSING AND GIS APPLICATIONS FOR NATURAL RESOURCES MONITORING AND EVALUATION IN NORTHEASTERN BRAZIL. H. S. Teotia, W. C. Kennard, D. L. Civco and K. A. Ulbricht

Document type:: Multivolume work

Structure type:: Chapter

less accuracy. These latter classes also yielded a high agreement with ground truth data (89.0%, 79.9% and 83.7%). The corresponding percent commissions, however, were higher at 36.4% and 19.5%. Some other classes, such as dense urban area and mixed and cultivated fallow land, were more spectrally heterogeneous and had low overall classification accuracies (58.7% and 53.2%) and high commission percentages (27.2% and 58.0%). These results indicated that classification became less accurate as the level of detail was increased. The relatively low accuracies of some categories at Level II could be attributed to cross-confusion among related categories. To obtain more reliable information regarding the land use and land cover classes, SPOT images from several seasons would be necessary. BACKGROUND DISCUSSION Remote sensing and geographical information systems (GIS) are important and advanced tools for the inventory and analysis of natural resources for regional and local planning. Various types of remote sensing data (MSS, TM, AVHRR, etc.) have been used for natural resources management. Hill and Megier (1986) performed a digital classification of the Ardeche region of southern France using Landsat 5 data as part of a region-wide resources inventory. Pettinger (1982) performed a comprehensive digital classification of vegetation and land cover in Idaho producing maps at different levels of detail for natural resources management purposes. LaBash et al . (1989) conducted a digital image analysis of Landsat TM data Tn eastern Connecticut for regional land use and land cover classification. Civco (1989) concluded that knowledge-based image analysis for classifying Landsat Thematic Mapper region-based spectral data, coupled with ancillary digital spatial information, not only is feasible but also preferable to the per-pixel, spectral data only, statistical methods more traditionally employed in deriving land use and land cover information for natural resources management. This approach produces results both more accurate and more visually comprehensible than the traditional method of maximum likelihood classification. Furthermore, SPOT HRV data are becoming widely available and provide opportunities for increased spatial resolution and temporal coverage for mapping. For example, the authors have initiated a comprehensive land use planning study in the semi-arid regions of northeastern Brazil using SPOT HRV data. Guebert et al. (1989) concluded that in the geologic and climatic setting, it is possible to characterize the infiltration capacities of disturbed watersheds of central Pennsylvania by remotely sensed data. Because of the relationships between infiltration capacity and surface features observed by SPOT (vegetation and rock type), infiltration can be generalized into low, moderate and high in filtration capacity categories. These relationships hold for surfaces of similar rock type and vegetation, although as climate and rock type change, the magnitude of the relationship may vary. 348

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