<abstract xmlns="http://www.w3.org/1999/xhtml"><p> 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.</p></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.

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

Department of Geoinformation and Remote Sensing Faculty of Geography and Regional Studies University of Warsaw, Institute of Geophysics University of Warsaw

Laboratory of Image-based Information and Modelling Faculty of Biology University of Warsaw

Miscellanea Geographica

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Remote sensing from unmanned aerial systems (UAS) has been gaining popularity in the last few years. In the field of vegetation mapping, digital cameras...

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

Online veröffentlicht: 17. Juni 2014

Seitenbereich: 35 - 45

Eingereicht: 14. Nov. 2013

Akzeptiert: 08. Apr. 2014

DOI: https://doi.org/10.2478/mgrsd-2014-0017

Schlüsselwörter
Remote sensing, vegetation index, digital camera, UAS, atmospheric correction

© by Michał T. Chiliński

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Online veröffentlicht: 17. Juni 2014

Seitenbereich: 35 - 45

Eingereicht: 14. Nov. 2013

Akzeptiert: 08. Apr. 2014

DOI: https://doi.org/10.2478/mgrsd-2014-0017

SchlüsselwörterRemote sensing, vegetation index, digital camera, UAS, atmospheric correction

© by Michał T. Chiliński

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Remote sensing, vegetation index, digital camera, UAS, atmospheric correction