Generalized Dasymetric Mapping Algorithm for Accessing Land-Use Change

Contém resumo

"A reserva ecológica nacional e a sua importância para o ordenamento do território"

This work primarily aims to investigate the ambiguity between the right to build and the need to preserve nature through one of its instruments: the National Ecological Reserve. In both national and international political effort, forced by increasing ecological awareness of the society were being created regulations for environmental problemsolving frameworks. This significant increase in provisions, that regulated the environment and spatial territory, are directly related to the objectives of the European community. In a year when the soil policy has changed, it is important to review the priorities of regional planning in the face of environmental policies. REN is a restriction of public utility that, among other things, aims to define and integrate diverse areas of our territory which by their structure are essential to the ecological stability of the environment. Going through a historical study of the various regimes that regulated REN, the present work aims to inform the understanding of the concept REN, exposing its objectives and form of delimitation of integrated areas, in order to answer questions about the nature of this institute. It were related to all regulations governing the ecological reserves and land, namely Scheme for Conservation of Nature and Biodiversity; Natura 2000, the National Agricultural Reserve, the Law of the ownership of water resources and water, and the RJIGT RJUE, checking to its compatibility with REN. Through a literature review regarding the jurisprudence of national courts applying the doctrine, analysis of legal regimes, analysis of maps depicting the REN, we carried out a qualitative assessment of the trend and legal effect of REN in protecting populations and environment. Therefore we will work with this reflect on the existing environment awareness in our society and its problems in the management of natural resources.

Land of the rising soy an internationalization plan for nutre to the Japanese Soy milk market

The present work project studies the next step in the internationalization process of Shoyce, the soy milk products brand of Nutre. In order to select the best target market in the Asia-Pacific for Nutre to export, a sequential screening process was developed using two complementary approaches: preliminary country screening and country ranking, followed by an in-depth analysis of the country ranking first. The analysis revealed Japan as the most attractive country for Shoyce’s international expansion. Potential entry modes in the Japanese soy milk market were then evaluated, whereby direct exporting via a local distributor was found to be the most appropriate.

Garland, since 1776- a unique ownership structure

The case is based on Garland, a 240 years old Portuguese family business, now owned by the Dawson family. It focuses on a decision made 50 years ago, aligned with what had been the company’s history, about the ownership rules for family members, which influences the ownership structure of the firm. It addresses the main issues about ownership in family businesses, and tackles the problem of succession planning and fair process. It contains a teaching note to support the utilization of the case in a classroom context, with learning objectives, target audience, a teaching plan, questions and proposed answers, and theory that relates to the case. It is also complemented with an epilogue and an overview of the case.

Assessment of NDVI, land surface temperature and precipitation anomalies for drought monitoring in Bayankhongor province, Mongolia

During the last decade Mongolia’s region was characterized by a rapid increase of both severity and frequency of drought events, leading to pasture reduction. Drought monitoring and assessment plays an important role in the region’s early warning systems as a way to mitigate the negative impacts in social, economic and environmental sectors. Nowadays it is possible to access information related to the hydrologic cycle through remote sensing, which provides a continuous monitoring of variables over very large areas where the weather stations are sparse. The present thesis aimed to explore the possibility of using NDVI as a potential drought indicator by studying anomaly patterns and correlations with other two climate variables, LST and precipitation. The study covered the growing season (March to September) of a fifteen year period, between 2000 and 2014, for Bayankhongor province in southwest Mongolia. The datasets used were MODIS NDVI, LST and TRMM Precipitation, which processing and analysis was supported by QGIS software and Python programming language. Monthly anomaly correlations between NDVI-LST and NDVI-Precipitation were generated as well as temporal correlations for the growing season for known drought years (2001, 2002 and 2009). The results show that the three variables follow a seasonal pattern expected for a northern hemisphere region, with occurrence of the rainy season in the summer months. The values of both NDVI and precipitation are remarkably low while LST values are high, which is explained by the region’s climate and ecosystems. The NDVI average, generally, reached higher values with high precipitation values and low LST values. The year of 2001 was the driest year of the time-series, while 2003 was the wet year with healthier vegetation. Monthly correlations registered weak results with low significance, with exception of NDVI-LST and NDVI-Precipitation correlations for June, July and August of 2002. The temporal correlations for the growing season also revealed weak results. The overall relationship between the variables anomalies showed weak correlation results with low significance, which suggests that an accurate answer for predicting drought using the relation between NDVI, LST and Precipitation cannot be given. Additional research should take place in order to achieve more conclusive results. However the NDVI anomaly images show that NDVI is a suitable drought index for Bayankhongor province.