The Forest Management Information System is an integrated system which can be used to support the planning, implementation and monitoring of forest management activities. Beyond collected field information, geoprocessing and remote sensing systems are essential for that management type. One of the goals of this dissertation is to develop an analysis methodology for data analysis (from a forestry database and extracted from remotely sensed digital images) that enhance the information generation capability to the forestry planning and operational control. During this work, we had access to forestry databases, inventories and ex works wood volumes provided from Aracruz about forests located in RS, as well as digital images provided by CBERS-2 satellite. We measured 72 characteristics acquired from forestry images. After correlation analysis, only 28 were considered for later analysis. The first part of this work deals with data organization in such a way as to correlate them with the images. A method to identify harvested areas and another for time correlation are needed to allow usage of data collected over two years which is related to only one image. The next part involves simple and multiple regression analysis. We were unable to find a single parameter to estimate volume or age by itself. Conversely, multiple regression models achieved correlation coefficients up to 99% and the root mean squared error was down to 20m2/ha of wood volume. / Sistemas de informação florestal são sistemas integrados utilizados para dar suporte ao planejamento, implementação e monitoramento das atividades do gerenciamento florestal. Além das informações coletadas no campo, os sistemas de geoprocessamento e sensoriamento remoto são ferramentas fundamentais para este tipo de gestão. Um dos objetivos desta dissertação foi desenvolver uma metodologia de análise de dados (de cadastro florestal e extraídos das imagens digitais captadas por sensores remotos) que ampliem a capacidade de geração de informações para o planejamento e controle de operações florestais. Tivemos acesso a bases de dados de inventário e madeira posto-fábrica das florestas da empresa Aracruz localizadas no RS, bem como às imagens geradas pelo satélite CBERS-2. Foram medidas 72 características das imagens das florestas. Após uma análise de correlação, somente 28 foram consideradas próprias para as análises seguintes. A primeira parte do trabalho tratou da forma de organização dos dados, para que pudessem ser correlacionados com as imagens. Um método para reconhecer talhões que já haviam sido colhidos, e um método de correção temporal são necessários para permitir o uso de dados de inventário coletados em datas diferentes relacionados a uma única imagem. A parte seguinte trata de análises de regressão simples e múltipla. Não foi encontrada nenhuma variável capaz de servir como parâmetro único para a estimativa de volume ou idade. Em contrapartida, os modelos de regressão múltipla atingiram coeficientes de correlação de até 99%, enquanto a raiz do quadrado médio do erro atingiu seu melhor resultado com 20m2/ha de volume de madeira.

Terrestrial laser scanning (TLS) has been successfully used for three-dimensional (3D) data capture in forests for almost two decades. Beyond the plot-based data capturing capabilities of TLS, vehicle-based mobile laser scanning (MLS) systems have the clear advantage of fast and precise corridor-like 3D data capture, thus providing a much larger coverage within shorter acquisition time. This paper compares and discusses advantages and disadvantages of multi-temporal MLS data acquisition compared to established TLS data recording schemes. In this pilot study on integrated TLS and MLS data processing in a forest, it could be shown that existing TLS data evaluation routines can be used for MLS data processing. Methods of automatic laser scanner data processing for forest inventory parameter determination and quantitative structure model (QSM) generation were tested in two sample plots using data from both scanning methods and from different seasons. TLS in a multi-scan configuration delivers very high-density 3D point clouds, which form a valuable basis for generating high-quality QSMs. The pilot study shows that MLS is able to provide high-quality data for an equivalent determination of relevant forest inventory parameters compared to TLS. Parameters such as tree position, diameter at breast height (DBH) or tree height can be determined from MLS data with an accuracy similar to the accuracy of the parameter derived from TLS data. Results for instance in DBH determination by cylinder fitting yielded a standard deviation of 1.1 cm for trees in TLS data and 3.7 cm in MLS data. However, the resolution of MLS scans was found insufficient for successful QSM generation. The registration of MLS data in forests furthermore requires additional effort in considering effects caused by poor GNSS signal.