Timely Mapping of Crop Stage and Watering Events Through Sentinel-L Time-Series

Conference paper (2018)

Authors

L. Iannini Optical and Laser Remote Sensing -

R.A. Molijn Mathematical Geodesy and Positioning -

S.M. Alfieri Optical and Laser Remote Sensing -

S.C. Steele-Dunne Water Resources -

M. Menenti Optical and Laser Remote Sensing -

Massimo Menenti Optical and Laser Remote Sensing -

Research Group

Optical and Laser Remote Sensing () (TU Delft)

Synthetic Aperture Radar Precipitation Agriculture Irrigation Data assimilation Soil C-Band, Sentinel Land cover mapping

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Published Date

2018

Language

English

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Faculty

Civil Engineering & Geosciences

Department

Geoscience and Remote Sensing

Research Group

Optical and Laser Remote Sensing

Abstract

Reliable and timely mapping of crop growth conditions and of their water resources is considered a prioritary application in light of the abrupt climate changes. With this view, the paper presents a novel approach that makes use of dense C-Band time-series for the timely estimation of crop growth stages and for the detection of changes in crop water conditions, especially related to precipitation and irrigation events. Aided by vegetation indexes extracted from Landsat and Sentinel-2 imagery, the proposed Sentinel-l centered method exploits both temporal patterns of crop growth and spatial patterns of water anomalies to enhance its classification robustness.

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