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UAS dataset for soil moisture mapping

Authors: Zhuang, Ruodan; Manfreda, Salvatore; Zeng, Yijian; Sasso, Silvano F. Dal; Romano, Nunzio; Dor, Eyal Ben; Nasta, Paolo; +7 Authors

UAS dataset for soil moisture mapping

Abstract

This dataset is obtained from a UAS survey on 13-14 June 2019 on the field site MFC2 located in Monteforte Cilento (SA, Italy), within the Harmonious COST action CA16219 - Harmonization of UAS techniques for agricultural and natural ecosystems monitoring-, activities framework. The general aim was soil moisture mapping using the thermal inertia method and vegetation-temperature triangle model method. A multispectral camera (tetracam) and a thermal one (FLIR tau2) were used. The NDVI was calculated from the red and near-infrared reflectance from the multispectral imagery, and the land surface temperature was generated from the thermal imagery

Country
Netherlands
Keywords

soil moisture, UAS, land surface temperature, NDVI

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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