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Full-Text Articles in Physical Sciences and Mathematics
Urban Multi-Scale Environmental Predictor - An Extensive Tool For Climate Services In Urban Areas, Fredrik Lindberg, Sue Grimmond, Andrew Gabey, Bei Huang, Christoph W. Kent, Ting Sun, Natalie E. Theeuwes, Leena Järvi, Helen Ward, Izzy Capel-Timms, Yy Chang, Per Jonsson, Niklas Krave, Dongwei Liu, D Meyer, K Frans G. Olofson, Jian-Guo Tan, Dag Wästberg, Lingbo Xue, Zhe Zhang
Urban Multi-Scale Environmental Predictor - An Extensive Tool For Climate Services In Urban Areas, Fredrik Lindberg, Sue Grimmond, Andrew Gabey, Bei Huang, Christoph W. Kent, Ting Sun, Natalie E. Theeuwes, Leena Järvi, Helen Ward, Izzy Capel-Timms, Yy Chang, Per Jonsson, Niklas Krave, Dongwei Liu, D Meyer, K Frans G. Olofson, Jian-Guo Tan, Dag Wästberg, Lingbo Xue, Zhe Zhang
Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings
The city based climate service tool UMEP (Urban Multi-scale Environmental Predictor) is a coupled modelling system that combines models essential for urban climate processes and is developed as an extensive QGIS plugin. An application is presented to illustrate its potential, specifically of the identification of heat waves and cold waves in cities. The tool has broad utility for applications related to outdoor thermal comfort, urban energy consumption, climate change mitigation etc. It includes tools to: enable users to input atmospheric and surface data from multiple sources, prepare meteorological data for use in urban areas, undertake simulations and consider scenarios, and …
Exploring The Relationship Between Climate And Forest Conditions In Forest Classee De La Mondah (Gabon) Using Remote Sensing Data, Mariano Mboumba
Exploring The Relationship Between Climate And Forest Conditions In Forest Classee De La Mondah (Gabon) Using Remote Sensing Data, Mariano Mboumba
Free and Open Source Software for Geospatial (FOSS4G) Conference Proceedings
This study aims to examine the relationship between temperature and precipitation as climatic factors and the vegetation characteristics in Forêt Classée de la Mondah (Gabon). A pixel based spatial analysis procedure with QGIS was used to extract vegetation characteristics from MODIS on Terra, NDVI band, data from February 2000 to December 2015, while temperature and precipitation were monitored from January 1980 to December 2015 to highlight climate fluctuations in the study area. Two regression analyses were conducted : one between temperature and NDVI and the other one between precipitation and NDVI. Results showed that temperature and precipitation did not vary …