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Equifertiles - the key to extend the supervised areas of ground based remote sensing systems. (S04-schnug790987-oral)

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Equifertiles - the key to extend the supervised areas of ground based remote sensing systems. (S04-schnug790987-oral)

Authors:

E. Schnug* - Inst. of Plant Nutrition & Soil Science (FAL-P H. Lilienthal - Inst. of Plant Nutrition & Soil Science (FAL-PB) K. Panten - Inst. of Plant Nutrition & Soil Science (FAL-PB) S. Haneklaus - Insti. of Plant Nutrition & Soil Science (FAL-PB)

Abstract:

Equifertiles (EQF) are areas of similar productivity within a field. EQFs can be derived either from yield data (inductive approach) or from soil fertility data closely related to crop productivity (deductive approach). EQFs are the basis for management zones required to run spatial operations in precision agriculture (PA). The contribution describes the deduction of EQFs from different geo-referenced data sources, discusses their temporal and spatial stability, and sources of errors. Additionally, the concept of LASSIE (Low Altitude Stationary Surveillance Instrumental Equipment) combined with the

application of EQFs is described. LASSIE is an innovative ground based remote sensing concept for the continuous acquisition of real time images of crop and soil surfaces, which will be automatically rectified and geo-coded in a GIS. LASSIEs have no temporal constraints, are independent of weather conditions and yield only low maintenance costs. LASSIEs are a new tool to gather spatially variable soil and crop information and to create dynamic maps, which will substantially contribute to optimizing PA operations. The problem that the area covered by a LASSIE is limited can be overcome by applying EQFs for modelling spectral reflectance data for areas outside the range of observation.

Speaker Information: Ewald Schnug, Inst. of Plant Nutrition & Soil Science (FAL-P, Institute of Plant Nutrition and Soil Science; Fed, Braunschweig, D-38116; Phone: +49 531 596 2102; E-mail:

[email protected]

Session Information: Tuesday, November 4, 2003, 7:55 AM-11:30 AM Presentation Start: 9:30 AM

Keywords: remote sensing; equifertiles; dynamic mapping; LASSIE

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