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

As GIS technology has become accepted as a planning tool, a wide variety of data sources are being integrated into such systems. Generally, GIS are used to store large volumes of spatial data derived from a variety of sources including remote sensors and to efficiently retrieve, manipulate, analyze and display these data according to user-defined specifications for entire regions or parts of a region. A GIS can facilitate decision making based upon analysis of complex spatial interrelationships in a rapid, cost-effective manner. Ideally, GIS technology is suited to integrate the diverse, multi-disciplinary data required for global research studies. Ripple (1987) provided specific examples involving water, soil and vegetation resources management applications based on the integrated use of GIS and image processing technologies. Tomlinson and Boyle (1982) summarized the various categories of spatial data handling functions developed during the 1960's and 1970's for use in natural resources management studies. Kennard et a). (1988) are developing a GIS system for land use planning and management of the semi-arid regions in northeastern Brazil using Landsat TM and SPOT data and Teotia et al_. (1988) conducted optical and digital interpretations of SPOT imagery of the area. Steyaert (1989) explained that current GIS technology and cartographic data represent major untapped resources to meet cross- disciplinary research needs of nontraditional GIS users involved with global change research. The GIS technology can contribute to several types of research including 1) spatial data base management, 2) natural resources inventories, 3) thematic mapping, 4) environmental monitoring, etc. The purpose of our research using remote sensing and GIS technology was to apply image processing and pattern recognition techniques to SPOT multi spectral image data to derive seven types of earth resources information: 1. Land use and land cover classification (Anderson et^ al_., 1976) 2. Soil associations (USDA, 1975) 3. Land capability classification (USDA, 1966) 4. Slope classes (USDA, 1975 and SUDENE, 1972) 5. Land irrigability classification (IARI, 1972) 6. Agro-technical limitations (USDA,1975) 7. Suitability classification for land development and irrigation potential Data about the various components such as land use, soil, topography, geology, slope and elevation, vegetation and forest cover, climate, irrigation and satellite data were gathered from various federal and state agencies and institutions. PROCEDURES Study Area The study area chosen for this research is a part of the semi-arid region of Paraiba, Brazil, (Santa Luzia and its environs) covering an area of approximately 700 knr (Figure 1). The study was carried out on terrain which ranges from mountainous to alluvial and low

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