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UID:pretalx-foss4g-2023-academic-track-9G933C@talks.osgeo.org
DTSTART;TZID=CET:20230629T150500
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DESCRIPTION:This project conducts a statistical model using the Mann-Kendel
 l and a Sens Slope on the completed MODIS LST mission data for analysis of
  climate change thermal shifts across the Republic of Kosovo. This project
  leverages Google Earth Engine open data to build the statistical models t
 hat are extracted and analyzed in Q-GIS. This approach uses non-parametric
  statistical timeseries analysis for completed MODIS LST mission data to a
 nalyze and understand day and night land surface temperature shifts over d
 ifferent temporal periods to gather an understanding of the current and pr
 oject the future expected impacts of climate change on various developing 
 tourist economies in the Republic of Kosovo. \nWater balance is utilized a
 s a function of understanding the impacts of climate change on wine grape 
 capacity and the attempt to functionally understand the future disruptions
  of climate change through linear geographic regressions. These regression
 s will guide the understanding of the climate changes that are occurring w
 ith the country and provide a basis for analysis to develop resilience met
 hods. This model will be broken down into viticultural regionality to unde
 rstand the dynamism of the impacts across the country. The two data sets u
 sed will be MODIS land surface temperature and Tropical Rainfall Measuring
  Mission which will create an understanding of surface temperature shifts 
 within Kosovo and water balance shifts that are occurring due to climate c
 hange in Kosovo. The datasets also be correlated between each other using 
 a Pearson’s correlation coefficient to understand if a relationship exis
 ts between land surface temperature and water balance within wine region o
 f Kosovo. \nThe findings of this project will reveal geographic dispersion
  of anomalous rain patterns and long-term temperature shifts occurring tha
 t can have disruptive impacts on agricultural production of grapes. The re
 sults will provide insights based on known geographic extent of wine grape
  region to determine the significant temperature changes occurring over th
 e past 20 years and the trends for both Day and Night LST within the Repub
 lic of Kosovo. Further\, the analysis will seek to develop an understandin
 g on the immediate to long-term impacts based on the satellite data trends
 .  Water balance data analysis will provide precipitation shifts that are 
 occurring on a monthly basis and can be assessed with Land Surface Tempera
 ture as a means of understanding areas that are susceptible to flood-based
  natural hazards and amplification through increased temperatures and loss
  of water balance. The connection between the two can be assessed to under
 stand systemic vulnerabilities occurring within regions that require envir
 onmental quality for success. \nAdditionally\, the project is a novel fram
 ework for timeseries analysis of bigdata to provide insights into climate 
 change impacts on the economies of the developing world. The analysis will
  focus on the geographic dispersion of touristic economy assets that are b
 eing built and improve the use of big data approaches to derive an underst
 anding of temperature changes in data poor environments. The results of th
 is paper will leverage open datasets\, an analysis of the impacts of tempe
 rature changes on the developing tourist economy in the Republic of Kosovo
 \, and the knowledge of capacity for leveraging large geographic datasets 
 for open climate change research. \nThe use of big data and open modeling 
 provides a considerable resource for governments\, municipalities\, and NG
 Os to develop an understanding of how climate change will impact their com
 munities. The paper discusses the statistical concepts used on the MODIS c
 omplete dataset and interpretations of the results. The major concepts app
 roached are the use of Google Earth Engine utilization for modeling remote
  sensed data to understand the environmental conditions being caused by cl
 imate change. The underlying data analysis and implications draw connectio
 ns within local conditions and how human environmental conditions are impa
 cted for wine tourism development. This paper does not assess the loss of 
 economic value but rather interpret the data to understand the positionali
 ty of the underlying environmental commodity conditions such as snowpack a
 nd grape vine stock. We discuss an analysis utilization within a novel fra
 mework for open-source climate intelligence building for those regions wit
 hout the resources for pay-to-use products and data. This paper will build
  an understanding of methodological analysis approaches with multiple mode
 ls to develop and deliver products capable of informing national and regio
 nal climate adaptation strategies in both the long and short-term. \nThe R
 epublic of Kosovo is working towards developing many touristic economic se
 ctors that are heavily reliant on climate including the wine region of Rah
 ovec and Prizren\, both of which face tremendous uncertainty in the face o
 f climate change. Development of tools and technics to display the capabil
 ities of open big data analysis and provide vital analysis into the impact
 s of climate change. We seek to explore the capability for utilization of 
 open-source learning tools\, to build open-data models capable of providin
 g vital insights into the impacts of climate change in countries that have
  the least resources and the most risk.
DTSTAMP:20260423T004445Z
LOCATION:UBT E / N209 - Floor 3
SUMMARY:Agro-tourism impact analysis of climate change using Google Earth E
 ngine in the Rahovec wine region of Kosovo. - Dustin Sanchez
URL:https://talks.osgeo.org/foss4g-2023-academic-track/talk/9G933C/
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