Measurement of Soil Tillage Using UAV High-Resolution 3D Data

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...

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Autores principales:	Carla Rebelo, João Nascimento
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	volume changes digital terrain model differential DTM positional accuracy precision agriculture soil tillage Science Q
Acceso en línea:	https://doaj.org/article/76f0b31fa6e6461cbd1ff098727aa5b5
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spelling	oai:doaj.org-article:76f0b31fa6e6461cbd1ff098727aa5b52021-11-11T18:54:03ZMeasurement of Soil Tillage Using UAV High-Resolution 3D Data10.3390/rs132143362072-4292https://doaj.org/article/76f0b31fa6e6461cbd1ff098727aa5b52021-10-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/21/4336https://doaj.org/toc/2072-4292Remote 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.Carla RebeloJoão NascimentoMDPI AGarticlevolume changesdigital terrain modeldifferential DTMpositional accuracyprecision agriculturesoil tillageScienceQENRemote Sensing, Vol 13, Iss 4336, p 4336 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	volume changes digital terrain model differential DTM positional accuracy precision agriculture soil tillage Science Q
spellingShingle	volume changes digital terrain model differential DTM positional accuracy precision agriculture soil tillage Science Q Carla Rebelo João Nascimento Measurement of Soil Tillage Using UAV High-Resolution 3D Data
description	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.
format	article
author	Carla Rebelo João Nascimento
author_facet	Carla Rebelo João Nascimento
author_sort	Carla Rebelo
title	Measurement of Soil Tillage Using UAV High-Resolution 3D Data
title_short	Measurement of Soil Tillage Using UAV High-Resolution 3D Data
title_full	Measurement of Soil Tillage Using UAV High-Resolution 3D Data
title_fullStr	Measurement of Soil Tillage Using UAV High-Resolution 3D Data
title_full_unstemmed	Measurement of Soil Tillage Using UAV High-Resolution 3D Data
title_sort	measurement of soil tillage using uav high-resolution 3d data
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/76f0b31fa6e6461cbd1ff098727aa5b5
work_keys_str_mv	AT carlarebelo measurementofsoiltillageusinguavhighresolution3ddata AT joaonascimento measurementofsoiltillageusinguavhighresolution3ddata
_version_	1718431652691050496

Measurement of Soil Tillage Using UAV High-Resolution 3D Data

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