Analyzing actual volumes of erosion rills from UAV data and close range photogrammetry

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F19%3A00339309" target="_blank" >RIV/68407700:21110/19:00339309 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Analyzing actual volumes of erosion rills from UAV data and close range photogrammetry

Popis výsledku v původním jazyce

At selected fields detailed monitoring survey by DJI Phantom 4, DJI Phantom 4 pro and handheld close range photogrammetry was provided to assess the capability of different data and data resolution on accuracy of volumetric assessments. Total volumes of erosion rills were in detail computed for closely monitored rills by detailed volumetric comparison of assessed DEMs. Getting high resolution data (DTM GSD less than 10 mm) is hard to get for entire parcels of dozens of hectares. Therefore, total volumes of rills for entire fields were estimated by analogy of rill profiles between low and high resolution data of different UAV campaign elevations. The scale dependencies, and the benefits and limits of the analyses were presented.

Název v anglickém jazyce

Analyzing actual volumes of erosion rills from UAV data and close range photogrammetry

Popis výsledku anglicky

At selected fields detailed monitoring survey by DJI Phantom 4, DJI Phantom 4 pro and handheld close range photogrammetry was provided to assess the capability of different data and data resolution on accuracy of volumetric assessments. Total volumes of erosion rills were in detail computed for closely monitored rills by detailed volumetric comparison of assessed DEMs. Getting high resolution data (DTM GSD less than 10 mm) is hard to get for entire parcels of dozens of hectares. Therefore, total volumes of rills for entire fields were estimated by analogy of rill profiles between low and high resolution data of different UAV campaign elevations. The scale dependencies, and the benefits and limits of the analyses were presented.

Druh

O - Ostatní výsledky

CEP obor

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OECD FORD obor

20705 - Remote sensing

Projekt

<a href="/cs/project/QK1720289" target="_blank" >QK1720289: Vývoj automatizovaného nástroje pro optimalizaci monitoringu eroze zemědělské půdy pomocí distančních metod</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů