Error simulations of uncorrected NDVI and DCVI during remote sensing measurements from UAS

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Abstract

Remote sensing from unmanned aerial systems (UAS) has been gaining popularity in the last few years. In the field of vegetation mapping, digital cameras converted to calculate vegetation index (DCVI) are one of the most popular sensors. This paper presents simulations using a radiative transfer model (libRadtran) of DCVI and NDVI results in an environment of possible UAS flight scenarios. The analysis of the results is focused on the comparison of atmosphere influence on both indices. The results revealed uncertainties in uncorrected DCVI measurements up to 25% at the altitude of 5 km, 5% at 1 km and around 1% at 0.15 km, which suggests that DCVI can be widely used on small UAS operating below 0.2 km.

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Regional Studies on Development

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CiteScore 2017: 0.73

SCImago Journal Rank (SJR) 2017: 0.404
Source Normalized Impact per Paper (SNIP) 2017: 0.759

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