Monitoring soil surface by close-range photogrammetry in multiple scales
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F18%3A00330091" target="_blank" >RIV/68407700:21110/18:00330091 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Monitoring soil surface by close-range photogrammetry in multiple scales
Original language description
UAV and close-range photogrammetry can be used for complex monitoring of soil surface and related degradation processes. We can accurately assess the rill volumes by creating DEMs with millimeter resolutions. The system of automatic volumetric analyses in larger scales needs accurate rill boundary definitions to be able to create pre-erosion surface estimation. For the purpose different morphometry analyses were tested but skilled visual interpretation proved to be the best. Here multiple flying altitudes can serve to get from handheld imagery in testing zones (sub millimeter GSD) to accurate total field estimates. We could estimate actual sediment fluxes over ca 10 ha watersheds. Secondly, handheld imagery serves as a basis for estimating actual soil surface roughness under different tillage types and a soil roughness decay in time related to rain impact. Here ca 1 mm GSD surface models provide necessary information. Finally, close range photogrammetry in micrometer resolution is used to define changes in soil surface morphometry induced directly by raindrop impacts. Experiments with splash cups aim to define relation between rain kinetic energy and splash erosion. Here photogrammetry is used to interpret differences in surface change of different soils, in soil aggregates’ destruction by raindrops of different sizes and velocities. The research is supported by project of Ministry of Agriculture of the Czech Republic No. QK1720289 and by project No. GA17-33751L.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
10500 - Earth and related environmental sciences
Result continuities
Project
<a href="/en/project/QK1720289" target="_blank" >QK1720289: Development of automated tools for optimizing monitoring erosion of agricultural land using remote sensing methods</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů