Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle Imagery

Siqueira, Paulo Henrique de Lima; Silva, Marx Leandro Naves; Cândido, Bernardo Moreira; Avalos, Fabio Arnaldo Pomar; Batista, Pedro Velloso Gomes; Curi, Nilton; Lima, Wellington de; Quinton, John

doi:10.1590/18069657rbcs20190051

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…A erosão do solo, particularmente devido à perda de solo, é preocupante face à redução na capacidade produtiva do solo, aumento do assoreamento de recursos hídricos e redução da qualidade da água. Estudos sobre erosão do solo envolvem a quantificação da erodibilidade K do solo no campo sob chuva natural e o desenvolvimento de nomogramas para solo subtropical (Cassol et al 2018) ou em condições de laboratório (Thomaz e Fidalski, 2020), fator erosividade R (Avanzi et al, 2019) e uso e manejo C e práticas conservacionistas P da USLE , monitoramento do impacto do uso do solo sobre a produção de sedimentos em bacias hidrográficas para identificação de fontes de sedimentos (Rodrigues et al, 2018;Valente et al, 2020Valente et al, , 2021 ou pagamento por serviços ambientais (Bispo et al, 2020), efeito de plantas de cobertura na erosão do solo (Beniaich et al, 2020), práticas de manejo e relação com perda de solo, água e nutrientes (Reichert et al, 2019), perda do solo como indicador de risco à desertificação (Rios et al, 2020), fontes de sedimentos e volume erodido em voçorocas (Cândido et al, 2020), erosão em áreas degradas (Siqueira Junior et al, 2019), relação posição relevo solo com erosão e propriedades do solo (Almeida et al, 2019), e modelagem hidrossedimentológica em bacias hidrográficas (Mauri et al, 2020;Ebling et al, 2021). Além disso, a erosão tem clara relação com a qualidade da água (Becker et al, 2009;Kaiser et al, 2015), sendo necessária a identificação de fontes de poluição (Bastos et al, 2021) e com o balanço hídrico em bacias hidrográficas (Reichert et al, 2017;Ferreto et al, 2020.…”

Section: Introductionunclassified

Estratégia Metodológica para Zoneamento pelo Potencial de Perda de Solo na Bacia Hidrográfica Cachoeira Cinco Veados, RS-Brasil

Weiler

Cruz

Ferreira

et al. 2021

Rev. Bras. Geog. Fis.

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The aim of this study was to propose a methodological approach to determine the best land use based on USLE model parameters, using the watershed as planning unit. The model USLE parameters were spatialized using the software ArcGis 10.5, for the case study of the Cachoeira Cinco Veados watershed, RS-Brazil, and the erosive values were categorized according to the methodology of Ribeiro (2006). We reclassified the areas in “suitable” and “not suitable” to the tested use, according to two limit-criteria adopted as maximum acceptable soil losses (20 and 50 t ha-1 year-1). The methodology consists of constructing two strategies: the first is a construction of a thematic map, considering a priority order of uses in the watershed, where the most spendthrift use was analyzed first (Script of Hierarchical Analysis among Uses); and the second consists of the construction of maps that correspond to scenarios with watershed areas suitable to a given use, according to the classification criterion used, and their crossing with the current use map (Analysis Script by Use). The results show it is possible to classify the areas in “suitable” and “not suitable” for a given use, allowing with this organizational strategy to identify, quantify and spatialize the areas in accordance with the limit of potential soil loss and point out those that do not tolerate the tested use. This is a useful information for decision makers when studying regional planning.

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Section: Introductionunclassified

Estratégia Metodológica para Zoneamento pelo Potencial de Perda de Solo na Bacia Hidrográfica Cachoeira Cinco Veados, RS-Brasil

Weiler

Cruz

Ferreira

et al. 2021

Rev. Bras. Geog. Fis.

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“…Traditional methods such as pins (Desir and Marín, 2007), microtopographic profiles (Casalí et al, 2006), surveys with total stations (Ehiorobo and Audu, 2012) and poles are being replaced by techniques based on high-resolution photogrammetry (Castillo et al, 2012). Several studies have quantified gully erosion through photogrammetry associated with three-dimensional soil surface reconstruction methods, such as structure-from-motion/multiview-stereo (SfM-MVS) (Castillo et al, 2012;Gómez-Gutiérrez et al, 2014;Kaiser et al, 2014;Di Stefano et al, 2017;Ben Slimane et al, 2018;Siqueira Junior et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Sediment source and volume of soil erosion in a gully system using UAV photogrammetry

Cândido¹,

James²,

Quinton³

et al. 2020

Revista Brasileira De Ciência Do Solo

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Sensitivity Assessment of Spatial Resolution Difference in DEM for Soil Erosion Estimation Based on UAV Observations: An Experiment on Agriculture Terraces in the Middle Hill of Nepal

Chidi

Zhao

Chaudhary

et al. 2021

IJGI

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Soil erosion in the agricultural area of a hill slope is a fundamental issue for crop productivity and environmental sustainability. Building terrace is a very popular way to control soil erosion, and accurate assessment of the soil erosion rate is important for sustainable agriculture and environmental management. Currently, many soil erosion estimations are mainly based on the freely available medium or coarse resolution digital elevation model (DEM) data that neglect micro topographic modification of the agriculture terraces. The development of unmanned aerial vehicle (UAV) technology enables the development of high-resolution (centimeter level) DEM to present accurate topographic features. To demonstrate the sensitivity of soil erosion estimates to DEM resolution at this high-resolution level, this study tries to evaluate soil erosion estimation in the Middle Hill agriculture terraces in Nepal based on UAV derived high-resolution (5 × 5 cm) DEM data and make a comparative study for the estimates by using the DEM data aggregated into different spatial resolutions (5 × 5 cm to 10 × 10 m). Firstly, slope gradient, slope length, and topographic factors were calculated at different resolutions. Then, the revised universal soil loss estimation (RUSLE) model was applied to estimate soil erosion rates with the derived LS factor at different resolutions. The results indicated that there was higher change rate in slope gradient, slope length, LS factor, and soil erosion rate when using DEM data with resolution from 5 × 5 cm to 2 × 2 m than using coarser DEM data. A power trend line was effectively used to present the relationship between soil erosion rate and DEM resolution. The findings indicated that soil erosion estimates are highly sensitive to DEM resolution (from 5 × 5 cm to 2 × 2 m), and the changes become relatively stable from 2 × 2 m. The use of DEM data with pixel size larger than 2 × 2 m cannot detect the micro topography. With the insights about the influencing mechanism of DEM resolution on soil erosion estimates, this study provides important suggestions for appropriate DEM data selection that should be investigated first for accurate soil erosion estimation.

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Assessing Water Erosion Processes in Degraded Area Using Unmanned Aerial Vehicle Imagery

Abstract: Assessing water erosion processes in degraded area using unmanned aerial vehicle imagery. Rev Bras Cienc Solo. 2019;43:e0190051.

Cited by 3 publications

References 23 publications

Estratégia Metodológica para Zoneamento pelo Potencial de Perda de Solo na Bacia Hidrográfica Cachoeira Cinco Veados, RS-Brasil

Estratégia Metodológica para Zoneamento pelo Potencial de Perda de Solo na Bacia Hidrográfica Cachoeira Cinco Veados, RS-Brasil

Sediment source and volume of soil erosion in a gully system using UAV photogrammetry

Sensitivity Assessment of Spatial Resolution Difference in DEM for Soil Erosion Estimation Based on UAV Observations: An Experiment on Agriculture Terraces in the Middle Hill of Nepal

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