Search for dissertations about: "Leaf area index"
Showing result 1 - 5 of 18 swedish dissertations containing the words Leaf area index.
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1. Leaf Area Index of Scandinavian Forests Methods Using in situ and Remotely Sensed Data
Abstract : This thesis deals with methods of obtaining the leaf area index (LAI) from remotely sensed satellite data. Initially, in situ estimation methods were investigated, since the accuracy of the remotely sensed estimates is dependent on the quality of these estimates. READ MORE
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2. Climate regulation provided by urban greening - examples from a high latitude city
Abstract : Cities exert a strong influence on urban climate, and consequently on human health and wellbeing. This increases the importance of considering climate issues in urban planning, particularly in the context of global climate change. One of the key adaptation strategies in climate-sensitive planning is urban greenery. READ MORE
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3. Extensive green roofs in Porto Alegre, Brazil : Effect on indoor thermal comfort in residential buildings
Abstract : Brazil had a significant quantitative housing deficit of 7.7 million residences in 2015, especially in low-income housing. Traditionally, these projects have low levels of thermal insulation which can result in discomfort caused by warmth or cold. The residential sector is responsible for a significant part of the energy use in Brazil. READ MORE
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4. Satellite remote sensing of primary production in semi-arid Africa
Abstract : With the challenges Africa faces with respect to the predicted warming due to climate change, the continents role in the global carbon cycle has been increasingly recognized. Earth observing satellites have played a significant role in the study of vegetation, particularly in Africa where climate stations are sparse. READ MORE
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5. Leaf- to field-level compound effects of warm and dry conditions on crops and potential mitigating strategies
Abstract : Ongoing climate change has been threatening global food security. Under climate change, increasing risk of hot and dry conditions (termed compound events) is projected in many agricultural regions. Compound events cause detrimental effects on crops, yet their effects have rarely been quantified based on modeling approach. READ MORE