作者: Kerstin Voss , Jonas Franke , Thorsten Mewes , Gunter Menz , Walter Kühbauch
DOI: 10.1007/978-90-481-9277-9_7
关键词: Explicit knowledge 、 Image resolution 、 Crop protection 、 Environmental science 、 Data needs 、 Remote sensing 、 Scale (map) 、 Remote sensing (archaeology) 、 Identification (information) 、 Dimension (data warehouse)
摘要: Management strategies for precision crop protection necessitate spatially and temporally explicit knowledge about growth heterogeneity within fields. Remote sensing techniques are appropriate tools the derivation of relevant parameters. However, even a first discrimination between stressed productive stands, several aspects related to phenomenon sensor characteristics need be considered. The question which prerequisites must fulfil at specific scales an effective identification within-field heterogeneities arises. Besides scale -related issues observed phenomenon, remote data needs differentiated into sensor-defining dimensions: spatial, temporal spectral . This chapter examines each dimension in detail. For spatial , different landscape metrics were calculated threshold minimal resolution stress detection could thus defined. observations is rather phenomenon-dependent, as various factors such type produce dynamics, determine sensor-technical prerequisites. With respect scale, its strongly depend on given dimensions. Different wavebands considered (e.g., near-range vs. sensing) well variances phonological stages). demonstrates importance scale-related highlights that perspectives have taken account by using sensing.