Remote Sensing for Agriculture, Ecosystems, and Hydrology XXV 2023
DOI: 10.1117/12.2680350
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Towards optimising the derivation of phenological phases of different crop types over Germany using optical high resolution image time series

Abdelaziz Htitiou,
Markus Möller,
Heike Gerighausen

Abstract: Crop phenological phases have traditionally been observed from the ground, which is a labor-intensive and timeconsuming activity that also lacks spatial variability due to the sparse and limited network of ground data, if any are available. In view of this, remote sensing can provide a low-cost avenue to systematically monitor and detect phenological phases from space. The most common approach for retrieving vegetation phenology from remotely sensed time series is the dynamic threshold method. However, only a … Show more

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