Digital elevation model error in terrain analysis

Digital elevation models (DEMs) have been an important topic in geography and surveying sciences for decades due to their geomorphological importance as the reference surface for gravita-tion-driven material flow, as well as the wide range of uses and applications. When DEM is used in terrain analysis, for example in automatic drainage basin delineation, errors of the model collect in the analysis results. Investigation of this phenomenon is known as error propagation analysis, which has a direct influence on the decision-making process based on interpretations and applications of terrain analysis. Additionally, it may have an indirect influence on data acquisition and the DEM generation. The focus of the thesis was on the fine toposcale DEMs, which are typically represented in a 5-50m grid and used in the application scale 1:10 000-1:50 000. The thesis presents a three-step framework for investigating error propagation in DEM-based terrain analysis. The framework includes methods for visualising the morphological gross errors of DEMs, exploring the statistical and spatial characteristics of the DEM error, making analytical and simulation-based error propagation analysis and interpreting the error propagation analysis results. The DEM error model was built using geostatistical methods. The results show that appropriate and exhaustive reporting of various aspects of fine toposcale DEM error is a complex task. This is due to the high number of outliers in the error distribution and morphological gross errors, which are detectable with presented visualisation methods. In ad-dition, the use of global characterisation of DEM error is a gross generalisation of reality due to the small extent of the areas in which the decision of stationarity is not violated. This was shown using exhaustive high-quality reference DEM based on airborne laser scanning and local semivariogram analysis. The error propagation analysis revealed that, as expected, an increase in the DEM vertical error will increase the error in surface derivatives. However, contrary to expectations, the spatial au-tocorrelation of the model appears to have varying effects on the error propagation analysis depend-ing on the application. The use of a spatially uncorrelated DEM error model has been considered as a 'worst-case scenario', but this opinion is now challenged because none of the DEM derivatives investigated in the study had maximum variation with spatially uncorrelated random error. Sig-nificant performance improvement was achieved in simulation-based error propagation analysis by applying process convolution in generating realisations of the DEM error model. In addition, typology of uncertainty in drainage basin delineations is presented.

La vegetación de la Comunidad Autónoma del País Vasco. Leyenda del mapa de series de vegetación a escala 1:50.000

Índice: 1. Marco geográfico. El medio físico: - Situación, extensión y límites. - Estructura, morfología y relieve. - Rasgos generales de los Pirineos. - Los Montes Vasco-Cantábricos. - La depresión del Ebro. 2. Los cambios de la vegetación en el tiempo: paleogeobotánica o geobotánica histórica: - Introducción. Las glaciaciones del Cuaternario. - La vegetación de Europa en el Terciario. - El tránsito Plioceno-Pleistoceno y el Pleistoceno antiguo. - El Pleistoceno medio y reciente. - El Tardiglaciar y el Holoceno. - La expansión de Fagus sylvatica en el Holoceno. - La Península Ibérica. 3. El clima actual del la Comunidad Autónoma del País Vasco y regiones limítrofes: - El régimen climático general del territorio noribérico. - La ubicación geográfica. - Centros de acción. - El contexto geográfico. - La clasificación bioclimática. - El paisaje vegetal a través de las unidades bioclimáticas: macroclimas, bioclimas y pisos bioclimáticos. - El macroclima Templado. - El macroclima Mediterráneo. 4. Biogeografía: - Biogeografía: definición y concepto. - Corionomía. - Biogeografía del norte-centro de la Península Ibérica. - Descripción y caracterización de las principales unidades biogeográficas. 5. Flora de la CAPV y territorios limítrofes: - La flora eurosiberiana. - La flora mediterránea. - La flora endémica. 6. Series, Geoseries y Geopermaseries de Vegetación de la Comunidad Autónoma del País Vasco: - Los cambios de la vegetación en escala temporal reducida: dinamismo y sucesión. Concepto de Serie, Geoserie y Geopermaserie de Vegetación - Series climatófilas y temporihigrófilas. - Geoseries fluviales. - Halogeopermaseries (Geopermaseries costeras): los sistemas costeros. - Saxigeopermaseries (Geopermaseries rupícolas): crestas, acantilados y gleras. - Higrogeopermaseries (Geopermaseries higrófilas): turberas, charcas y lagunas.

Levantamento pedológico detalhado (1:5.000) da Unidade de Pesquisa e Desenvolvimento de Tatuí (APTA Sudoeste Paulista - SAA - SP)

Relato da distribuição dos solos e de seus atributos identificados no levantamento pedológico detalhado da Unidade de Pesquisa e Desenvolvimento de Tatuí, Polo Regional Sudoeste da Agência Paulista de Tecnologia do Agronegócio (APTA-SAA-SP).

Levantamento pedológico semidetalhado (1:25.000) da microbacia da Água Três Unidos, município de Vera Cruz (SP).

2002

Síntese do levantamento de reconhecimento de baixa e média intensidade dos solos da Folha Cedro (Escala 1:100.000)

2007

Síntese do levantamento de reconhecimento de baixa e média intensidade dos solos da Folha Cedro (Escala 1:100.000)

2007

Síntese do levantamento de reconhecimento de baixa e média intensidade dos solos da Folha Jardim (Escala 1:100.000)

2007

Levantamento semidetalhado dos solos da bacia Rio Jardim-DF escala 1:50.000.

2000

Levantamento semidetalhado dos solos da bacia do Olaria - DF escala 1:30.000.

2000

Levantamento de reconhecimento de média intensidade dos solos do Parque Nacional da Serra dos Órgãos - Parnaso, Rio de Janeiro, escala 1:100.000.

2008

Levantamento de solos do Parque Nacional de Brasília, escala 1:50.000.

2008