A Genetikus Uzemi Talajterkepezes Modszerkonyve (The Handbook of the Large-Scale Genetic Soil Mapping)

1967 ◽  
Vol 31 (2) ◽  
pp. v-v
Author(s):  
S. A. Wilde
Keyword(s):  
2018 ◽  
Vol 10 (10) ◽  
pp. 1555 ◽  
Author(s):  
Caio Fongaro ◽  
José Demattê ◽  
Rodnei Rizzo ◽  
José Lucas Safanelli ◽  
Wanderson Mendes ◽  
...  

Soil mapping demands large-scale surveys that are costly and time consuming. It is necessary to identify strategies with reduced costs to obtain detailed information for soil mapping. We aimed to compare multispectral satellite image and relief parameters for the quantification and mapping of clay and sand contents. The Temporal Synthetic Spectral (TESS) reflectance and Synthetic Soil Image (SYSI) approaches were used to identify and characterize texture spectral signatures at the image level. Soil samples were collected (0–20 cm depth, 919 points) from an area of 14,614 km2 in Brazil for reference and model calibration. We compared different prediction approaches: (a) TESS and SYSI; (b) Relief-Derived Covariates (RDC); and (c) SYSI plus RDC. The TESS method produced highly similar behavior to the laboratory convolved data. The sandy textural class showed a greater increase in average spectral reflectance from Band 1 to 7 compared with the clayey class. The prediction using SYSI produced a better result for clay (R2 = 0.83; RMSE = 65.0 g kg−1) and sand (R2 = 0.86; RMSE = 79.9 g kg−1). Multispectral satellite images were more stable for the identification of soil properties than relief parameters.


2019 ◽  
Vol 70 (3) ◽  
pp. 198-210
Author(s):  
Nikolay Khitrov ◽  
Maria Smirnova ◽  
Nikolai Lozbenev ◽  
Ekaterina Levchenko ◽  
Vasiliy Gribov ◽  
...  

Abstract The soil cover of the forest-steppe and steppe zones of the East European Plain is characterized by diverse soil combinations revealed during large-scale and detailed soil mapping against the background of a traditional zonal sequence of dominant automorphic soils alternating from the north to the south and clearly displayed on small-scale soil maps. The composition, configuration and functioning of particular soil cover patterns are determined by the soil forming factors acting within a given area. The elementary soil areas (detailed scale) and elementary soil cover patterns maps (large scale) of the Central Russian, Kalach, and Volga Uplands are created by both traditional and digital soil mapping methods. Low-contrasting soil combinations with the background Haplic Chernozems (Loamic or Clayic, Pachic) alternating with zooturbated Haplic Chernozems (Loamic or Clayic, Pachic) on convex elements of the microtopography and Luvic Chernozems (Loamic or Clayic, Pachic) on concave elements of the microtopography prevails under conditions of thick clay loamy parent materials and free drainage. Under conditions of shallow embedding by low-permeable clayey sediments, the soil cover includes Chernozems or Chernic Phaeozems with stagnic features in some part of the soil profile or even Mollic Stagnosols. The presence of shrink-swell clays of different ages leads to the formation of Bathyvertic Chernozems, Vertic Chernozems, Vertic Chernic Phaeozems and/or Pellic Vertisols. The presence of soluble salts in the parent material leads to the development of solonetzic soil complexes consisting of Protosodic or Sodic Chernozems and different types of Solonetzes.


2020 ◽  
Author(s):  
Robert Minařík ◽  
Daniel Žížala ◽  
Anna Juřicová

<p>Legacy soil data arising from traditional soil surveys are an important resource for digital soil mapping. In the Czech Republic, a large-scale (1:10 000) mapping of agricultural land was completed in 1970 after a decade of field investigation mapping. It represents a worldwide unique database of soil samples by its national extent and detail. This study aimed to create a detailed map of soil properties (organic carbon, ph, texture, soil unit) by using state-of-the-art digital soil mapping (DSM) methods. For this purpose we chose four geomorphologically different areas (2440 km<sup>2</sup> in total). A selected ensemble machine learning techniques based on bagging, boosting and stacking with random hyperparameters tuning were used to model each soil property. In addition to soil sample data, a DEM and its derivatives were used as common covariate layers. The models were evaluated using both internal repeated cross-validation and external validation. The best model was used for prediction of soil properties. The accuracy of prediction models is comparable with other studies. The resulting maps were also compared with the available original soil maps of the Czech Republic. The new maps reveal more spatial detail and natural variability of soil properties resulting from the use of DEM. This combination of high detailed legacy data with DSM results in the production of more spatially detailed and accurate maps, which may be particularly beneficial in supporting the decision-making of stakeholders.</p><p>The research has been supported by the project no. QK1820389 " Production of actual detailed maps of soil properties in the Czech Republic based on database of Large-scale Mapping of Agricultural Soils in Czechoslovakia and application of digital soil mapping" funding by Ministry of Agriculture of the Czech Republic.</p>


2019 ◽  
pp. 3-21
Author(s):  
N. V. Minayev ◽  
A. A. Nikitin ◽  
D. N. Kozlov

The identification of factor and indicational features, which are characterized by the high informativity and field of view in relation to the soil cover organization, plays a very important role in the soil mapping. Such characteristics are more common for Unmanned Aerial Vehicles (UAV), which include spectrazonal imagery and digital elevation model (DEM) with ultrahigh spatial resolution, necessary for obtaining fine and large scale images. However, the agrogenic micro- and nanotopography is considered as a noise during the studies of the soil cover topographic differentiation under the conditions of plowland, as the genetic soil properties correlate with natural micro- and mesotopography. A filtration algorithm for the land surface roughness, which is not related to the spatial organization of the objective soil properties, is suggested in the paper. The stages of linear dimension identification for self-similar structures of the glacial and agrogenic topography based on two-dimensional Fourier decomposition are demonstrated using the example of a field topography digital model for the area of 125 hectares. Filtering in the frequency domain allowed restoring the natural field topography and substantiating the effective resolution of the DEM and the size of the area to calculate local morphometric specificities of the topography for digital soil mapping.


Geoderma ◽  
2019 ◽  
Vol 335 ◽  
pp. 133-148 ◽  
Author(s):  
C. Brogi ◽  
J.A. Huisman ◽  
S. Pätzold ◽  
C. von Hebel ◽  
L. Weihermüller ◽  
...  

2021 ◽  
pp. 139-179
Author(s):  
M. I. Gerasimova ◽  
M. D. Bogdanova

The overview of publications on soil cartography in “Pochvovedenie”/“Eurasian Soil Science” journal for the period 1899–2020 demonstrates a high diversity of themes and certain trends in the number and dynamics of papers. Their total number (365), calculated per 5-year-long intervals, was distributed rather evenly among these 121 years: approximately 10–15 papers in each interval, although three maximums are rather clear. The first one fell on the post-war interval and was followed by 1965–1970 and 2010–2015 maximums. Discussion of large-scale maps dominated the early publications, many of them tackled soil surveys and applied problems; in the mid-century papers, soil maps of various regions of the country were described since it was time of extensive terrain investigations; numerous were also papers concerning methodology of soil mapping. New approaches and technique were actively discussed in the papers at the turn of centuries, such as remote sensing or digital soil mapping. Along with map compilation issues, there are publications on applying information provided by soil maps for both traditional and novel purposes: schemes of zoning in the former case and development of prognostic maps or assessment of pedodiversity in the latter case. The majority of papers on zoning, concern soil-geographical (later soil-ecological) schemes, whereas the derived types of zoning, for example, ameliorative or erosional, are discussed in few papers. The performed overview may be regarded as summing up the results of traditional soil mapping development with emphasizing its most valuable achievements, as well as indicating the initial signs of new trends.


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