Abstract
Field spectroscopy performs non-destructive chemical measurements without manipulating the measured materials, while providing the possibility of a broad spatial overview and a high temporal flexibility of measurements. High-resolution remote sensing applications can consolidate sustainable, prevention- and precision-oriented crop management strategies by decreasing their production risks. In this short communication technical aspects and research focuses of high resolution remote sensing in context of sustainable agricultural applications are presented. More detailed we focus on narrow band indications in the range of 400–1100 nm which are anticipated to become the basis of the next generation of commercialized agricultural sensors due to their cost-efficiency, non-saturating behavior and high sensitivity. Non-scanning snapshot hyperspectral imaging spectroscopy may enable researchers to overcome the gap in the “point-pixel-image”-upscaling of proximal remote sensing, while providing a flexible solution for regular field applications such as soil and/or physiological vegetation paremeters. Keywords: field spectroscopy, proximal sensing, sensors, precision farming
Highlights
When spectral and spatial field information are requested on regular temporal basis, remote sensing is often applied in many areas of agriculture (Lucas et al, 2004)
The VNIR spectral range will remain relevant in the generation of crop sensor developments as well (Bendig et al 2012; Zarco-Tejada et al, 2005) but it will likely be spectrally enhanced to produce high-resolution crop or soil sensors
Thenkabail gave an excellent overview of using hyperspectral narrow bands for vegetation analysis and agricultural applications
Summary
When spectral and spatial field information are requested on regular temporal basis, remote sensing is often applied in many areas of agriculture (Lucas et al, 2004). Remote sensing performs non-destructive chemical measurements without using chemical agents and without physically manipulating the measured materials, while allowing a broad spatial overview and a demand driven application time. These features can be applied in low-input and organic agriculture systems to monitor environmental and plant physiological conditions and trigger action at the exact moment and spot when and where necessary. Remote sensing sensors and platforms can typically be characterized by four parameters; the spectral, spatial, temporal and radiometric resolution. Nowadays the sensors are satellite based and hand-held or vehicle-based with high potential for mobility and flexiblity
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