Preprint Article Version 1 This version is not peer-reviewed

UAV Based Crop Water Stress Index for Wetland Habitats

Version 1 : Received: 17 October 2018 / Approved: 17 October 2018 / Online: 17 October 2018 (16:40:29 CEST)
Version 2 : Received: 23 November 2018 / Approved: 23 November 2018 / Online: 23 November 2018 (12:27:52 CET)

How to cite: Ciężkowski, W.; Jóźwiak, J.; Szporak-Wasilewska, S.; Kleniewska, M.; Gnatowski, T.; Dąbrowski, P.; Góraj, M.; Szatyłowicz, J.; Ignar, S.; Chormański, J. UAV Based Crop Water Stress Index for Wetland Habitats. Preprints 2018, 2018100389 (doi: 10.20944/preprints201810.0389.v1). Ciężkowski, W.; Jóźwiak, J.; Szporak-Wasilewska, S.; Kleniewska, M.; Gnatowski, T.; Dąbrowski, P.; Góraj, M.; Szatyłowicz, J.; Ignar, S.; Chormański, J. UAV Based Crop Water Stress Index for Wetland Habitats. Preprints 2018, 2018100389 (doi: 10.20944/preprints201810.0389.v1).

Abstract

Droughts occurring more and more frequently in recent years are usually associated with progressive climate changes. Modern monitoring methods is mainly associated with agricultural use due to the high market demand for services protecting against agricultural losses. In natural wetland ecosystem this problem is neglected which is probably due to fact that this are ecosystems rich in water by definition. Nevertheless this droughts might become a problem of wetlands, whose good condition depends on adequate hydration. Therefore this study focused on determination Crop Water Stress Index (CWSI) for natural heterogeneous wetland habitats. CWSI based on remotely sensed land surface temperature and associated basic meteorological (air temperature and humidity) measurements. CWSI was calculated based on high resolution LST measurements from UAV platform and compare with on ground measurements of soil moisture, CCI, fAPAR and meteorological conditions. Results shows that CWSI properly shows water condition of plants in measured habitats and revels high importance of metrological conditions during data acquisition.

Subject Areas

CWSI, , Natura 2000, thermal remote sensing, wetlands, land surface temperature

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