Remote sensing in agriculture : 26 - 28 June 2000, Royal Agricultural College, Circester

Inhalt

• Evaluation of structural coincidences of patterns in remote sensing images and yield maps for the identification of sampling locations

  S. 37

  Panten, Kerstin; Schnug, Ewald; Panten, Kerstin

• Relationships between images and ground truth parameters

  S. 83

  Haneklaus, Silvia; Schnug, Ewald; Panten, Kerstin

• LASSIE : an innovative approach for the continuous remote sensing of crops

  S. 147

  Schnug, Ewald; Haneklaus, Silvia; Lilienthal, Holger; Panten, Kerstin

• Utilisation of hyperspectral data for the evaluation of the spatial variability of the nitrogen status of wheat

  S. 189

  Lilienthal, Holger; Haneklaus, Silvia; Schnug, Ewald; Haveresch, Edith