An Automated, Noncontact Laser Profile Meter for Measuring Soil Roughness in Situ

Bertuzzi, Patrick; Caussignac, Jean-Marie; Stengel, Pierre; Morel, G.; Lorendeau, J. Y.; Pelloux, G.

doi:10.1097/00010694-199003000-00006

Cited by 55 publications

(18 citation statements)

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“…In addition, the complexity of the effects of microscale soil surface variations on overland flow and erosion (e.g. Bertuzzi et al, 1990;Bruneau and Gascuel-Odoux, 1990;Poesen et al, 1990) has demonstrated the value of monitoring soil surface changes and processes at the subplot scale.…”

Section: The Value Of Repeat Microprofile Measurements In Soil Erosiomentioning

confidence: 99%

Ground‐level changes after wildfire and ploughing in eucalyptus and pine forests, Portugal: implications for soil microtopographical development and soil longevity

et al. 2002

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Soil level changes over four years at 50 sites in three types of post-fire eucalyptus and pine forest management practices (natural pine seedling regeneration; eucalyptus regrowth from coppiced stumps; and deep-(rip-) ploughed areas planted with eucalyptus seedlings) in the Á gueda Basin, Portugal are reported. Average ground lowering at regrowth sites was high during the first year after fire (up to an estimated 18 mm), declining sharply by the third year with vegetation growth and litter cover development. In the first year after rip-ploughing, there was greater surface lowering (up to 27 mm recorded), with recovery within three-four years. This sharp post-ploughing reduction in soil loss is attributed to stone lag development through erosion of fines. Soil erosion resulting from a wildfire-rip-ploughing cycle is estimated to be up to 174 t ha À1

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Section: The Value Of Repeat Microprofile Measurements In Soil Erosiomentioning

confidence: 99%

Ground‐level changes after wildfire and ploughing in eucalyptus and pine forests, Portugal: implications for soil microtopographical development and soil longevity

et al. 2002

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“…O rugosímetro laser consta de uma fonte e um receptor de hélio-neônio (He-Ne) de baixa potência e um sistema ótico acoplado, o qual permite projetar verticalmente os raios de luz à superfície do solo, como também tratar as imagens desfocalizadas que são refletidas (BERTUZZI et al, 1990).…”

Section: Dispositivo Experimental De Laboratório (Rugosímetro Laser)unclassified

“…O erro absoluto máximo das medidas com o equipamento utilizado é 0,25 mm (BERTUZZI et al, 1990;PAZ e TABOADA, 1996). Para reduzir os efeitos de borda analisou-se uma área de 0,50 m x 0,50 m, o que equivale a considerar 250 linhas de 270 pontos cada uma, totalizando 67.500 pontos individuais.…”

Section: Dispositivo Experimental De Laboratório (Rugosímetro Laser)unclassified

Variabilidade espacial da rugosidade superficial do solo medida com rugosímetros de agulhas e laser

et al. 2000

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RESUMOA variabilidade espacial da rugosidade superficial do solo foi estudada a partir de uma grade de dados pontuais medidos com instrumentos de diferentes graus de precisão. Para a medição da rugosidade utilizou-se um rugosímetro laser, em condições de laboratório, sendo as leituras realizadas antes e após a aplicação de diferentes quantidades de chuva (0 mm, 10 mm, 55 mm, 85 mm). Nas condições de campo (pastagem e superfície arada) utilizou-se um rugosimetro de agulhas, e as leituras foram realizadas em quatro datas distintas. Verificou-se alta dependência espacial para a rugosidade superficial, com os dados obtidos em ambos os métodos e em todos os tratamentos. Os parâmetros dos semivariogramas obtidos com os dados do rugosímetro de agulhas apresentaram grandes variações nas diferentes datas, devido à forma de distribuição e ao tamanho dos agregados. Isso indica a dificuldade de encontrar um modelo tridimensional, representativo do microrrelevo, em condições de campo. Verificou-se grande semelhança em todos os semivariogramas obtidos a partir dos dados do rugosímetro laser (superfície simulada) indicando que, apesar das alterações na rugosidade superficial, não foram observadas modificações no comportamento da dependência espacial com a aplicação de diferentes quantidades de chuva. Palavras-chave: microrrelevo, semivariograma escalonado, geoestatística, agregados do solo. ABSTRACT SPATIAL VARIABILITY OF SOIL SURFACE ROUGHNESS MEASURED BY PIN AND LASER RELIEFMETERSThe spatial variability of the soil surface roughness was analysed by instruments of different precision degrees in a grid of data points. For measuring the roughness it was used a laser reliefmeter before and after application of different amounts of rain (0 mm, 10 mm, 55 mm, 85 mm) in the laboratory. At field conditions (pasture and ploughed surface) a pin reliefmeter was used at four different dates. The results showed a great spatial dependence of soil surface roughness in both methods and for all treatments. The great variation of semivariogram parameters obtained with pin reliefmeter data for all different dates was due to the distribution and size of soil aggregates. This indicates how difficult it is to obtain a representative tridimensional microrelief model at field conditions. All other semivariograms obtained with laser reliefmeter data (simulated surface) were similar among themselves, indicating that despite the alterations in the soil surface roughness, the spatial dependence pattern did not change with different amounts of rain.

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“…On the other hand, several non-contact Fig. 1 Schematic representation of a three-dimensional sensor unit, positioned in front of the tractor for a feed-forward loop or alternatively behind the tractor for a feed-back system Precision Agric approaches potentially suitable for fast soil sensing have been proposed in the past and in recent years (Viscarra Rossel et al 2011), mainly based on image analysis techniques (Stafford and Ambler, 1990), laser scanning (Bertuzzi et al 1990;Darboux and Huang, 2003;Chatzinikos et al 2013) and photogrammetry (Aguilar et al 2009). However such techniques suffer from various impediments.…”

Section: Introductionmentioning

confidence: 99%

Application of the Kinect sensor for dynamic soil surface characterization

et al. 2015

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Agricultural soil roughness is pertinent to important agricultural phenomena, such as evaporation, infiltration or compression. Monitoring roughness variations would make possible the improvement of tillage operations. In the present work, implementation of the Microsoft Kinect™ RGB-depth camera for dynamic characterization of soil micro-relief is proposed and discussed. The metrological performance and the effect of the operating conditions on three-dimensional reconstruction was analyzed considering both laboratory tests on calibrated reference surfaces and field tests on different agricultural soil surfaces. Data set analysis was made on the basis of surface roughness parameters, as defined by ISO 25178 (2012) series: average roughness, root mean square roughness, skewness and kurtosis. Correlation between different tillage conditions and roughness parameters describing soil morphology was finally discussed

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An Automated, Noncontact Laser Profile Meter for Measuring Soil Roughness in Situ

Cited by 55 publications

References 0 publications

Ground‐level changes after wildfire and ploughing in eucalyptus and pine forests, Portugal: implications for soil microtopographical development and soil longevity

Ground‐level changes after wildfire and ploughing in eucalyptus and pine forests, Portugal: implications for soil microtopographical development and soil longevity

Variabilidade espacial da rugosidade superficial do solo medida com rugosímetros de agulhas e laser

Application of the Kinect sensor for dynamic soil surface characterization

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