How is the learning process of digital soil mapping in a diverse group of land use planners?

Dalmolin, Ricardo Simão Diniz; Moura-Bueno, Jean Michel; Samuel‐Rosa, Alessandro; Flores, Carlos A.

doi:10.36783/18069657rbcs20190037

Cited by 3 publications

(4 citation statements)

References 27 publications

(39 reference statements)

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“…And this can be decisive for the maintenance of survey projects across the country, especially within the scope of PronaSolos. And this can be decisive for the maintenance of survey projects across the country, especially within the scope of PronaSolos (Dalmolin et al, 2020). We believe that the approach showed in this paper can be implemented with the PronaSolos program using the infrastructure that already exists in Brazilian Universities and the Residency Program in Agronomy, which is already implemented at UFRRJ.…”

Section: Pedology and Soil Mappingmentioning

confidence: 96%

“…Digital Soil Mapping involves traditional methods of classification and mapping and mathematical modeling for the creation and population of spatial information systems using field and laboratory data coupled with environmental covariates (McBratney et al, 2003;Ma et al, 2019). Although the DSM represents an evolution in the soil mapping process, the formation of new pedologists also represents a challenge, once besides the former knowledge, the training process must constantly be provided in new technologies (remote and proximal sensors, software, and hardware), and data analysis methods and algorithms (Dalmolin et al, 2020). Considering that the world requires more detailed soil maps and information about soil security, there is an increasing demand for pedologists to execute DSM.…”

Section: Introductionmentioning

confidence: 99%

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Training pedologist for soil mapping: Contextualizing methods and its accuracy using the project pedagogy approach

Costa

Ceddia

Santos

et al. 2021

Revista Brasileira De Ciência Do Solo

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Section: Pedology and Soil Mappingmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

Training pedologist for soil mapping: Contextualizing methods and its accuracy using the project pedagogy approach

Costa

Ceddia

Santos

et al. 2021

Revista Brasileira De Ciência Do Solo

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show abstract

“…Our results reveal the potential of an effective method to depict the soil spatial variability using computational systems and EO data by producing a synthetic soil image (SYSI). In this sense, capacitation courses (e.g., Universidade PronaSolos), free and open access datasets and products (e.g., febr) and software (e.g., Python, R), collaborative work and others, will be necessary to increase the assimilation of these technologies in future works (Dalmolin et al, 2020;Samuel-Rosa et al, 2020;Costa et al, 2021).…”

Section: Some Considerations Regarding the Pronasolosmentioning

confidence: 99%

Fine-scale soil mapping with Earth Observation data: a multiple geographic level comparison

Safanelli¹,

Demattê²,

Santos³

et al. 2021

Revista Brasileira De Ciência Do Solo

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Multitemporal collections of satellite images and their products have recently been explored in digital soil mapping. This study aimed to produce a bare soil image (BSI) for the São Paulo State (Brazil) to perform a pedometric analysis for different geographical levels. First, we assessed the potential of the BSI for predicting the surface (0.00-0.20 m) and subsurface (0.80-1.00 m) clay, iron oxides (Fe 2 O 3 ), aluminum (m%) and bases saturation (V%) contents at the state level, which are important properties for soil classification. In this task, legacy soil samples, the BSI and terrain attributes were employed in machine learning. In a second moment, we evaluated the capacity of the BSI for clustering the landscape at the regional level, comparing the predicted patterns with a legacy semi-detailed soil map from a smaller reference site. In the final stage, the predicted soil maps from the state level were investigated at the farm level considering several sites distributed across the São Paulo state. Our results demonstrated that clay and Fe 2 O 3 reached the best prediction performance for both depths at the state level, reaching a RMSE of less than 10 %, RPIQ higher than 1.6 and R 2 of at least 0.41. Additionally, the predicted landscape clusters had a significant association with the main pedological classes, subsurface color, soil mineralogy and texture from the legacy semi-detailed soil map. Illustrative examples at the farm level indicated great capacity of BSI in detecting the variations of soils, which were linked to several soil properties, such as texture, iron content, drainage network, among others. Therefore, this study demonstrates that BSI is valuable information derived from optical Earth Observation data that can contribute to the future of soil survey and mapping in Brazil (PronaSolos).

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“…To verify the mapping accuracy and precision, the "random point validation" technique was applied, using the Qgis 2.18.0 software, according to methodologies employed by [42] [43]. Thus, polygons with an area of less than five (5) hectares (ha) were excluded, since there is great fragmentation in the classification.…”

Section: Mapping Statistics and Field Surveymentioning

confidence: 99%

Multitemporal Analysis of Land Use and Coverage in the Low Course of the Araguaia River

Oliveira¹,

Souza²,

Lima³

2020

JGIS

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This work aimed to analyze the spatial behavior of plant formations and land use in the Ecological Tension Area Amazon-Cerrado. To this end, the Araguaia river basin was selected, in its low course, because it constitutes a physical-natural limit between the two Biomms, with intense dynamics of use and land cover Thus, in addition to researching scientific references and socioeconomic data from secondary sources, a geographic database was elaborated, with georeferenced data, and spatial operations are carried out. Among them, a supervised classification of land use and coverage, with multi-temporal analysis between the years 1984, 2000 and 2018. Thus, an expansion of 4.2 ha of Forest (Amazon biome) was observed on the savanic phytophysiognomy (Cerrado). However, the suppression of forested areas reached values around 21,700 km 2 , with direct conversions to anthropic activities, mainly pasture, about 71%. The results of the mapping compared with the data of the agricultural census show that the landscape of the Araguaia river basin, in its low course, is dominated by areas of pasture managed. However, public policies and government investments have fomented the expansion of agriculture in the direct bank of the river Araguaia, from 2000 onwards, and that the landscape of the left bank is dominated by pasture managed. Finally, it was found that the implantation of protective areas contributed to the vegetational regeneration of both biomms.

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How is the learning process of digital soil mapping in a diverse group of land use planners?

Cited by 3 publications

References 27 publications

Training pedologist for soil mapping: Contextualizing methods and its accuracy using the project pedagogy approach

Training pedologist for soil mapping: Contextualizing methods and its accuracy using the project pedagogy approach

Fine-scale soil mapping with Earth Observation data: a multiple geographic level comparison

Multitemporal Analysis of Land Use and Coverage in the Low Course of the Araguaia River

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