Paper
24 February 2004 Remote sensing, GIS, and GPS technologies for assessment potentialities of sustainable eco-agriculture development
Albena Valentinova Pavlova, Mitko Minkov Tsvetkovski
Author Affiliations +
Abstract
The problem of ecological agriculture production is a question of present interest all over the world. For the past few years in Bulgaria were performed a number of reforms associated with utilization and management of agricultural and forest areas. Contemporary the problem cover eco-monitoring, specification of the trends and rehabilitation criteria determination on the basis of satellite technologies. The recent work presents a methodic for determination of suitable areas for sustainable ecoagriculture development. The main item in this methodic is test area definition based on remote sensing basis. It is proposed "point-polygon" method for correlation links between test point objects and certain test polygon. The test point objects are defined by GPS techniques. This approach enables complex quantitative assessment of the region with minimum resources consumption. For precise results obtaining is performed interpretatation of multispectral and panchromatic aerophoto and satellite images of different time periods, it is specified crop phenology and field check. Data are integrated in GIS for more efficient monitoring of the characteristics of the region of interest. The methodologies developed during these investigations can be applied to other regions, and have potential for providing modelers with extended data sets of independently derived agriculture data and monitoring studies.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Albena Valentinova Pavlova and Mitko Minkov Tsvetkovski "Remote sensing, GIS, and GPS technologies for assessment potentialities of sustainable eco-agriculture development", Proc. SPIE 5232, Remote Sensing for Agriculture, Ecosystems, and Hydrology V, (24 February 2004); https://doi.org/10.1117/12.510459
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KEYWORDS
Agriculture

Cadmium

Copper

Lead

Satellites

Zinc

Geographic information systems

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