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Measurement of Soil Tillage using UAV High-resolution 3D Data

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Created: Oct 27, 2021 at 10:11 a.m.
Last updated: Oct 27, 2021 at 3:04 p.m.
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Content types: Geographic Raster Content 
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Abstract: Remote sensing methodologies could contribute to a more sustainable agriculture, such as monitoring soil preparation for cultivation, which should be done properly, according to the topographic characteristics and the crop’s nature. The objectives of this work are to (1) demonstrate the potential of unmanned aerial vehicle (UAV) technology in the acquisition of 3D data before and after soil tillage, for the quantification of mobilised soil volume; (2) propose a methodology that enables the co-registration of multi-temporal DTMs that were obtained from UAV surveys; and (3) show the relevance of quality control and positional accuracy assessment in processing and results. An unchanged-area-matching method based on multiple linear regression analysis was implemented to reduce the deviation between the Digital Terrain Models (DTMs) to calculate a more reliable mobilised soil volume. The production of DTMs followed the usual photogrammetric-based Structure from Motion (SfM) workflow; the extraction of fill and cut areas was made through raster spatial modelling and statistical tools to support the analysis. Results highlight that the quality of the differential DTM should be ensured for a reliable estimation of areas and mobilised soil volume. This study is a contribution to the use of multi-temporal DTMs produced from different UAV surveys. Furthermore, it demonstrates the potential of UAV data in the understanding of soil variability within precision agriculture.

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Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Ferreira do Alntejo, Portugal
North Latitude
East Longitude
South Latitude
West Longitude


Start Date:
End Date:


Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.


Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
Portuguese Foundation for Science and Technology (FCT) PTDC/CTA-OHR/32360/2017

How to Cite

Rebelo, C., J. Nascimento (2021). Measurement of Soil Tillage using UAV High-resolution 3D Data, HydroShare,

This resource is shared under the Creative Commons Attribution CC BY.


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