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\hypersetup{pdftitle={Evaluation of Remote Sensing and GIS for the Determination of Spondias Tuberosa Arruda Density },pdfauthor={Jörn Germer, Jan Mertens},pdfsubject={Tropentag 2016: Abstract},pdfkeywords={Caatinga, GIS, remote sensing, Spondias tuberosa},pdfpagemode=None,colorlinks=true}
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\parbox[b]{13.4cm}{\centering \large{\textbf{Tropentag, September 18-21, 2016, Vienna, Austria}}\\[1ex] \Large{``Solidarity in a competing world ---\\fair use of resources''\\[2ex]}}
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\Large{\textbf{Evaluation of Remote Sensing and GIS for the Determination of Spondias Tuberosa Arruda Density \footnote{\textbf{Contact Address:} Jörn Germer, University of Hohenheim, Inst. of Agricultural Sciences in the Tropics (Hans-Ruthenberg-Institute), Garbenstr. 13, 70593~Stuttgart, Germany, \mbox{e-mail}: \email{jgermer@uni-hohenheim.de}}\\[0.8ex]}}
\normalsize{\textsc{Jörn Germer$^{1}$, Jan Mertens$^{2}$}}
\end{center}
\begin{itemize*}
\item[]{\small{\textit{$^{1}$University of Hohenheim, Inst. of Agricultural Sciences in the Tropics (Hans-Ruthenberg-Institute), Germany}}}
\item[]{\small{\textit{$^{2}$University of Hohenheim, Inst. of Agricultural Sciences in the Tropics (Hans-Ruthenberg-Institute), Germany}}}
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\index[author]{Germer, Jörn}
\index[author]{Mertens, Jan}
\begin{center}
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\textbf{Abstract}
\begin{abstract}
\normalsize{
The Umbuzeiro (Spondias tuberosa Arruda) is a tree of great economic importance in the semi"=arid Caatinga biome that covers 0.85 Mha in northeastern Brazil. It is assumed that the tree undergoes a server population decline driven by human population pressure and climate change, which will eventually lead to species extinction. Currently, there is no information available to determine the total population and its spatial as well as temporal dynamics. The fact that the threat cannot be described quantitatively prevents development and implementation of protection measures.







Our presentation summarises the current state of knowledge on the Umbuzeiro population and describes necessary data preparation and processing steps to test the application of remote sensing and Geographic Information Systems (GIS) to identify individual trees or trees stands in the Caatinga. The testing methodology is ordered into two steps:







-$>$In the methodology analyses we conduct a literature review on remote sensing and GIS modelling with special focus on tree distributions in northeastern Brazil. Three key questions are addressed: a) To what extent the specific characteristics of the Umbuzeiros physiology and phenology in spectral and textural signals as well as temporal patterns that can be detected via remote sensing and modeled in GIS? b) Which remote sensing and GIS methods can be employed to monitor the Umbuzeiro stands? c) Are the available remote sensing and GIS data sufficient to monitor the Umbuzeiro stands in the Caatinga biome?







-$>$The following methodology preparation describes the acquisition, quality check, preprocessing and spatial adjustment of remote sensing data as well as the definition and setup up of a GIS infrastructure needed for an Umbuzeiro monitoring program, including field data requirements.







Our approach can help to describe the distribution of specific tree species in semi"=arid regions, determine areas of high protection value and serve as a basis for future assessments of spatial and temporal population dynamics. }

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\noindent \textbf{Keywords:} Caatinga, GIS, remote sensing, Spondias tuberosa
\index[key]{Caatinga}
\index[key]{GIS}
\index[key]{Remote sensing}
\index[key]{Spondias tuberosa}
\end{document}
