Digital Terrain Models
Mostrando 1-12 de 36 artigos, teses e dissertações.
-
1. ESTIMATION OF MAIZE BIOMASS USING UNMANNED AERIAL VEHICLES
ABSTRACT Unmanned aerial vehicles (UAVs) are a promising tool for technology development and transfer and for the economic success of the agricultural sector. The objective of this study is to assess the validity of biomass estimation in a commercial maize plantation using aerial images obtained by a UAV. The proposed methodology involved analyzing images ac
Eng. Agríc.. Publicado em: 09/12/2019
-
2. High-resolution topography for Digital Terrain Model (DTM) in Keller Peninsula, Maritime Antarctica
Abstract High resolution topography (HRT) surveys is an important tool to model landscapes, especially in zones subjected to strong environmental changes, such as Antarctica, where landform is highly influenced by cryoclasty and permafrost melting. The aim of this work was to obtain a high accurate DTM for Keller Peninsula, Maritime Antarctica. The survey st
An. Acad. Bras. Ciênc.. Publicado em: 26/07/2018
-
3. Prediction of Topsoil Texture Through Regression Trees and Multiple Linear Regressions
ABSTRACT: Users of soil survey products are mostly interested in understanding how soil properties vary in space and time. The aim of digital soil mapping (DSM) is to represent the spatial variability of soil properties quantitatively to support decision-making. The goal of this study is to evaluate DSM techniques (Regression Trees - RT and Multiple Linear R
Rev. Bras. Ciênc. Solo. Publicado em: 16/04/2018
-
4. The use of RPAS - Remotely Piloted Aircraft Systems in the topographic mapping for mining
Abstract In the light of the technological transformations that have been occurring in the field of Remote Sensing, the objective of this study was to evaluate the feasibility and the quality of the results that could be achieved in the topographic modeling of the terrain with a Remotely Piloted Aircraft Systems (RPAS) survey in open-pit mines. The mining ac
REM, Int. Eng. J.. Publicado em: 2018-04
-
5. Comparing the Performance of Ground Filtering Algorithms for Terrain Modeling in a Forest Environment Using Airborne LiDAR Data
ABSTRACT The aim of this study was to evaluate the performance of four ground filtering algorithms to generate digital terrain models (DTMs) from airborne light detection and ranging (LiDAR) data. The study area is a forest environment located in Washington state, USA with distinct classes of land use and land cover (e.g., shrubland, grassland, bare soil, an
Floresta Ambient.. Publicado em: 01/02/2018
-
6. Environmental Correlation and Spatial Autocorrelation of Soil Properties in Keller Peninsula, Maritime Antarctica
ABSTRACT: The pattern of variation in soil and landform properties in relation to environmental covariates are closely related to soil type distribution. The aim of this study was to apply digital soil mapping techniques to analysis of the pattern of soil property variation in relation to environmental covariates under periglacial conditions at Keller Penins
Rev. Bras. Ciênc. Solo. Publicado em: 08/01/2018
-
7. Geomorphometric tool associated with soil types and properties spatial variability at watersheds under tropical conditions
ABSTRACT The application of quantitative methods to digital soil and geomorphological mapping is becoming an increasing trend. One of these methods, Geomorphons, was developed to identify the ten most common landforms based on digital elevation models. This study aimed to make a quantitative assessment of the relationships between Geomorphons units, determin
Sci. agric. (Piracicaba, Braz.). Publicado em: 2016-08
-
8. Assessment of Digital Elevation Model for Digital Soil Mapping in a Watershed with Gently Undulating Topography
ABSTRACT Terrain attributes (TAs) derived from digital elevation models (DEMs) are frequently used in digital soil mapping (DSM) as auxiliary covariates in the construction of prediction models. The DEMs and information extracted from it may be limited with regard to the spatial resolution and error magnitude, and can differ in the behavior of terrain featur
Rev. Bras. Ciênc. Solo. Publicado em: 23/06/2016
-
9. Spatial prediction of soil properties in two contrasting physiographic regions in Brazil
ABSTRACT This study compared the performance of ordinary kriging (OK) and regression kriging (RK) to predict soil physical-chemical properties in topsoil (0-15 cm). Mean prediction of error and root mean square of prediction error were used to assess the prediction methods. Two watersheds with contrasting soil-landscape features were studied, for which the p
Sci. agric. (Piracicaba, Braz.). Publicado em: 2016-06
-
10. Utilização da técnica de co-krigagem com inclinação máxima e altitude do terreno no delineamento de zonas de manejo: granulometria do solo e disponibilidade hídrica / Using the technique of cokriging with maximum slope of the terrain and altitude in the delineation of management zones: grain size and soil water availability
In Brazil, few studied are related about soil sampling strategies in areas with more than one type soil and various features of the landscape, these strategies are important to map the spatial variability of physical attributes: size fractions, as well as the correlation of these with geomorphologic parameters: altitude and maximum slope of the sampled area
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 16/04/2012
-
11. Métrica para avaliação da inconsistência hidrológica de terrenos representados por MDE / Metric for evaluate the hydrological inconsistency of terrains represented by DEM
This paper presents a method to evaluate the hydrologic inconsistencies in terrain represented by digital elevation model. This method becomes important because of the widespread use of GIS in the hydrology area and hydrological consistency of digital terrain models have received attention of many researchers. Currently checking the model hydrologic consiste
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 24/02/2012
-
12. Avaliação de algoritmos e modelos digitais de elevação para extração automática da drenagem / Automatic drainage network extraction using digital elevation models
This work is an evaluation of automatic processes for drainage extraction from Digital Elevation Models (DEM), as related to different data sources, terrain types, algorithms and operation parameters. SRTM, Topodata and GDEM data of four (4) watersheds with distinct geomorphometries were processed through six (6) different flow algorithms (D8, Rho8, Dinf, Mf
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 30/05/2011