Soil maps, legacy data and covariates

2012 ◽  
pp. 89-89
Keyword(s):  
Soil Maps ◽  
Legacy Data

scholarly journals Mapping soils in two watersheds using legacy data and extrapolation for similar surrounding areas

2016 ◽  
Vol 40 (5) ◽  
pp. 534-546 ◽  
Author(s):  
Marcelo Henrique Procópio Pelegrino ◽  
Sérgio Henrique Godinho Silva ◽  
Michele Duarte de Menezes ◽  
Elidiane da Silva ◽  
Phillip Ray Owens ◽  
...  
Keyword(s):  
Decision Trees ◽  
Soil Maps ◽  
Kappa Index ◽  
Digital Mapping ◽  
Legacy Data ◽  
Mapping Techniques ◽  
Surrounding Areas ◽  
Cart Algorithm ◽  
Source Of Information ◽  
Extract Information

ABSTRACT Existing soil maps (legacy data) associated with digital mapping techniques are alternatives to obtain information at lower costs, however, tests are required to do it more efficiently. This study had as objectives to compare different methods to extract information from detailed scale soil maps using decision trees for mapping soil classes at two watersheds in Minas Gerais, validate these maps in the field and use the best method to extrapolate information to larger areas, also validating these maps of larger areas. Detailed soil maps of Vista Bela creek (VBW) and Marcela creek (MCW) watersheds were used as source of information. Seven methods to extract information from maps were compared: the whole polygon, eliminating 20 and 40 m from the polygon boundaries, and with buffers around the sampled points with radii of 25 m, 50 m, 75 m, and 100 m. The Classification and Regression Trees (CART) algorithm was employed to create decision trees and enable creation of soil maps. Accuracy was assessed through overall accuracy and kappa index. The best method was used to extrapolate information to larger areas and maps were validated. The best methods for VCW and MCW were, respectively, eliminating 20 m from polygon edges and buffer of 25 m of radii from points. Maps for larger areas were obtained using these methods. Removing uncertainty areas from legacy soil maps contribute to better modeling and prediction of soil classes. Information generated in this work allowed for validated extrapolation of soil maps for regions surrounding the watersheds.

scholarly journals Populating soil maps with legacy data from a soil testing databases

GlobalSoilMap ◽  
2014 ◽  
pp. 319-323
Author(s):  
J Paroissien ◽  
N Saby ◽  
A de Forges ◽  
D Arrouays ◽  
B Louis
Keyword(s):  
Soil Testing ◽  
Soil Maps ◽  
Legacy Data

THE IMPORTANCE OF THE RED BOOK OF SOILS FOR MONITORING AND JUSTIFICATION OF CONSERVATION MEASURES

2020 ◽  
Author(s):  
O.S. Bezuglova ◽  
Keyword(s):  
Chemical Properties ◽  
Natural State ◽  
Soil Maps ◽  
Rostov Region ◽  
Conservation Measures ◽  
Background Data ◽  
The Russian Federation ◽  
Physical And Chemical ◽  
And Chemical Properties

Rostov Region belongs to the highly protected natural territories characterized by the continuous plowing. There territories are the only reserves with the soils preserved in their natural state. However, these areas often lack detailed information about the soils quality and composition. Surveying soils on these territories is crucial for determination of their basic physical and chemical properties. The resulted compilation of soil maps could lay a foundation for creating the Red Book of Soils and the formation of a section in the soil-geographical database of the Russian Federation. Subsequently, such information can be used as a background data for the main types of soils in the region. It will be also valuable during monitoring and justification of conservation measures.

Solving existing problems with soil maps in Ukraine

2018 ◽  
Vol 10 (1) ◽  
pp. 94-102
Author(s):  
V Cherlinka ◽  
◽  
Y Dmytruk ◽  
Keyword(s):  
Soil Maps ◽  
Existing Problems

scholarly journals Fence Placement for Legacy Data-Race-Free Programs via Synchronization Read Detection

2016 ◽  
Vol 12 (4) ◽  
pp. 1-23
Author(s):  
Andrew J. Mcpherson ◽  
Vijay Nagarajan ◽  
Susmit Sarkar ◽  
Marcelo Cintra
Keyword(s):  
Data Race ◽  
Legacy Data
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