• Nenhum resultado encontrado

Digital elevation model quality on digital soil mapping prediction accuracy

N/A
N/A
Protected

Academic year: 2019

Share "Digital elevation model quality on digital soil mapping prediction accuracy"

Copied!
15
0
0

Texto

Imagem

Figure 1: Location of study area in Southeastern Brazil, municipality of Pinheiral (inset map, blue star), and spatial  distribution of point elevation (green – calibration; red – validation) and soil data (black)
Table 1:  Digital  elevation  models  prepared  with  different  spatial  resolutions  using  various  data  sources  and  processing routines to simulate scenarios of digital elevation model data quality for digital soil mapping.
Table 2: Quality criteria used to select digital elevation models for digital soil mapping.
Figure 3:  Flowchart  of  compatibility  between  the  evaluation  of  DEMs  that  represent  different  scenarios  and  resolutions, and evaluation of predictions in the DSM using each DEM.
+6

Referências

Documentos relacionados

In this context, the main objective of this research was to assess the use of DSM techniques for mapping soils in western Haiti, specifically by assessing the importance

ma-se como um organismo que, quer a montante quer a jusante, articula com os mais diversos ser- viços: Centros de Emprego, Centros de Forma- ção Profissional, Serviços de

The objective of this study was to predict the levels of organic carbon (OC), clay, and extractable phosphorus (P), from the spectral responses of soil samples in the visible and

This study aimed to determine equations to estimate soil moisture using variables of color spaces obtained from images of a portable digital camera.. Material

The aim of this study was to map local soil classes by computer-assisted cartography (CAC), using several combinations of topographic properties produced by GIS (digital

In this context, this study differs from previous work in its objective to compare the efficiency of the two prediction methods (ANNs and MLC) for digital soil mapping, using

precision elevation by statistical tests based on field reference points, the root mean square error (RMSE), identification of the number and size of spurious depressions, and

There is no straightforward decision on whether to use ordinary kriging or regression kriging for mapping soil properties, because the quality of predictions depends on