Digital Elevation Model
Mostrando 1-12 de 93 artigos, teses e dissertações.
-
1. VERTICAL ACCURACY ASSESSMENT OF THE PROCESSED SRTM DATA FOR THE BRAZILIAN TERRITORY
Abstract: This research aims to determine the vertical accuracy of the Interferometric Digital Elevation Model (DEM) obtained from the processed Shuttle Radar Topographic Mission (SRTM) data. The research compared the SRTM-GL1 (Shuttle Radar Topographic Mission-Global 1) with 30-meter resolution and the following 90-meter resolution models: (a) EMBRAPA; (b)
Bol. Ciênc. Geod.. Publicado em: 02/12/2019
-
2. Prediction of soil classes in a complex landscape in Southern Brazil
Resumo: O objetivo deste trabalho foi avaliar o uso da seleção de covariáveis por conhecimento especializado no desempenho de modelos de predição de classes de solos em uma paisagem complexa, para identificar o melhor modelo preditivo para o mapeamento digital de solos na região Sul do Brasil. Um total de 164 pontos foram amostrados em campo, com uso d
Pesq. agropec. bras.. Publicado em: 11/11/2019
-
3. Digital mapping of soil attributes using machine learning
RESUMO O mapeamento de atributos químicos do solo em larga escala pode acarretar em ganhos no planejamento de uso e ocupação do mesmo. Existem diferentes técnicas disponíveis para tal fim, cujos desempenhos devem ser testados para diferentes situações de paisagem. Objetivou-se neste trabalho espacializar atributos químicos do solo, comparando oito m�
Rev. Ciênc. Agron.. Publicado em: 04/11/2019
-
4. Individualization of soil classes by disaggregation of physiographic map polygons
Resumo: O objetivo deste trabalho foi desagregar os polígonos de mapas de unidades fisiográficas, de modo a individualizar as classes de solos ocorrentes em cada unidade, para representá-las como unidades de mapeamento simples de solos e gerar um mapa de solos com maior detalhe cartográfico que o mapa original, ampliando a utilidade desses dados em deman
Pesq. agropec. bras.. Publicado em: 14/10/2019
-
5. Pastures Degradation and the Relation with Pedo-Geomorphological Attributes in Watershed
ABSTRACT The objective of this study was to map the levels of degradation of pastures and its association with chemical properties of the soil and relief. We selected a sub-basin located in the municipality of Viçosa, Minas Gerais, and we mapped the degradations through Ikonos images that were submitted for classification. Soil samples were collected and an
Floresta Ambient.. Publicado em: 30/09/2019
-
6. Monitoring of Sobradinho landslide (Brasília, Brazil) and a prototype vertical slope by time-lapse interferometry
Abstract The application of geophysical monitoring technologies may offer an opportunity to understand the dynamic of slopes in response to factors triggering their instability. In this study, Ambient Noise Interferometry was used as a monitoring approach on a man-made reduced-scale vertical slope and on a natural-scale landslide in Sobradinho (Brazil), unde
Braz. J. Geol.. Publicado em: 03/06/2019
-
7. Water Basin Delimitation in a Relief Transition Region
ABSTRACT The objective of this work was to evaluate the performance accuracy of digital elevation models in delimiting a water basin located in the relief transition region between the São Francisco Plateau, São Franciscana Depression and the Espinhaço mountain range. Four digital elevation models with data from the Shuttle Radar Topographic Mission (SRTM
Floresta Ambient.. Publicado em: 30/05/2019
-
8. COMPARISON BETWEEN ABSOLUTE AND RELATIVE POSITIONAL ACCURACY ASSESSMENT - A CASE STUDY APPLIED TO DIGITAL ELEVATION MODELS
Resumo Este artigo apresenta um estudo comparativo entre os métodos absoluto e relativo para a avaliação de acurácia posicional altimétrica de Modelos Digitais de Elevação (MDE). Para o embasamento teórico desta pesquisa, foram apresentadas as definições de acurácia (exatidão) e precisão, bem como conceitos relativos à acurácia posicional abso
Bol. Ciênc. Geod.. Publicado em: 18/04/2019
-
9. Selection of Environmental Covariates for Classifier Training Applied in Digital Soil Mapping
ABSTRACT A large number of predictor variables can be used in digital soil mapping; however, the presence of irrelevant covariables may compromise the prediction of soil types. Thus, algorithms can be applied to select the most relevant predictors. This study aimed to compare three covariable selection systems (two filter algorithms and one wrapper algorithm
Rev. Bras. Ciênc. Solo. Publicado em: 07/01/2019
-
10. Spatial and Temporal Potential Groundwater Recharge: the Case of the Doce River Basin, Brazil
ABSTRACT: Little is known about the groundwater recharge potential of weathered tropical catchments, where increasing water uptake is widespread to meet various water demands. This study aimed to estimate the volume of groundwater recharge of the Doce River Basin, Minas Gerais, Brazil. The BALSEQ model was applied to calculate the water balance over a period
Rev. Bras. Ciênc. Solo. Publicado em: 20/12/2018
-
11. Edaphic and Topographic Factors and their Relationship with Dendrometric Variation of Pinus Taeda L. in a High Altitude Subtropical Climate
ABSTRACT The study of the relationships between the yield potential of forest stands and the conditions offered for plant development is fundamental for the adequate management of the forest when aiming at sustainable high yields. However, these relations are not clear, especially in commercial forests, on rugged terrain where relationships between the lands
Rev. Bras. Ciênc. Solo. Publicado em: 06/12/2018
-
12. Digital Soil Mapping Using Machine Learning Algorithms in a Tropical Mountainous Area
ABSTRACT: Increasingly, applications of machine learning techniques for digital soil mapping (DSM) are being used for different soil mapping purposes. Considering the variety of models available, it is important to know their performance in relation to soil data and environmental variables involved in soil mapping. This paper investigated the performance of
Rev. Bras. Ciênc. Solo. Publicado em: 14/11/2018