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b/geographie-informatique.tex @@ -1186,6 +1186,95 @@ Il s'agit d'une carte mondiale présentant trois informations distinctes~: \item la canopée mondiale. \end{enumerate} +Il s'agit, comme le montre la figure \ref{figure:profondeurscanopee} dans l'onglet couches en bas à gauche de l'image, d'une composition des trois couches nommées \og GLAD Tree Canopy Height 2020 \fg{}, \og World Imagery \fg{} et \og World\_Ocean\_Base \fg{}. + +En premier lieu, il est intéressant de constater que ce trois couches se marient très bien et cela dans l'ordre dans lesquelles elles se présentent. Il faut ensuite constater qu'en changeant l'échelle de la carte (en zoomant), tout se passe très bien et l'image reste de très bonne qualité comme on peut le constater en comparant les images des figures \ref{figure:profondeurscanopee}, \ref{figure:europetroiscouches} et \ref{figure:suissetroiscouches}. +\begin{figure}[h] + \centering + \begin{subfigure}{0.45\textwidth} + \includegraphics[width=\textwidth]{images/Europe.eps} + \caption{L'Europe avec trois couches}\label{figure:europetroiscouches} + \end{subfigure} + \begin{subfigure}{0.45\textwidth} + \includegraphics[width=\textwidth]{images/Suisse.eps} + \caption{La Suisse avec trois couches}\label{figure:suissetroiscouches} + \end{subfigure} + + \begin{subfigure}{0.45\textwidth} + \includegraphics[width=\textwidth]{images/SuisseMontagnes.eps} + \caption{La Suisse sans la couche canopée}\label{figure:suissesanscanopee} + \end{subfigure} + \begin{subfigure}{0.45\textwidth} + \includegraphics[width=\textwidth]{images/golfeGascogne.eps} + \caption{Golfe de Gascogne, couche océanique}\label{figure:golfegascogne} + \end{subfigure} + \caption{Échelles et couches} +\end{figure} + +En second lieu, il faut remarquer l'intérêt de pouvoir n'afficher que certaines couches, comme le montre les figures \ref{figure:suissesanscanopee}, qui présente la Suisse sans la couche de la canopée et \ref{figure:golfegascogne} qui présente le golfe de Gascogne avec la seule couche \og World\_ocean\_base \fg{}. + +\bigskip +La réalisation de ces cartes dans QGIS passe donc par la recherche des cartes, celle de l'information les concernant et par leur construction. + +\subsubsection{Acquisition des cartes} + +\subsubsection{Informations sur les cartes} +L'information disponible pour la couche de la canopée l'est directement depuis QGIS. En effet, on voit sur la droite de la figure \ref{figure:profondeurscanopee}, à l'entête de \og Search QMS \fg{} une liste d'items au sein desquels figure le lien \og details \fg{}. Dans le cas de la couche canopée, celui-ci mène sur le site \url{https://qms.nextgis.com}\footnote{Voir : \url{https://qms.nextgis.com/geoservices/3561/}} où on trouve l'information suivante~: +\begin{quotation} +\textbf{GLAD Tree Canopy Height 2020} + +\smallskip +\textbf{General info} + +Description: Global Forest Canopy Height, 2019 P. Potapov, X. Li, A. Hernandez-Serna, A. Tyukavina, M.C. Hansen, A. Kommareddy, A. Pickens, S. Turubanova, H. Tang, C. E. Silva, J. Armston, R. Dubayah, J. B. Blair, M. Hofton (2020). A new, 30-m spatial resolution global forest canopy height map was developed through the integration of the Global Ecosystem Dynamics Investigation (GEDI) lidar forest structure measurements and Landsat analysis-ready data time-series (Landsat ARD). The GEDI RH95 (relative height at 95\%) metric was used to calibrate the model. The Landsat multi-temporal metrics that represent the surface phenology serve as the independent variables. The “moving window” locally calibrated and applied regression tree ensemble model was implemented to ensure high quality of forest height prediction and global map consistency. The model was extrapolated in the boreal regions (beyond the GEDI data range, 52°N to 52°S) to create the global forest height prototype map. GEDI: https://gedi.umd.edu Landsat ARD: https://glad.umd.edu/ard/home Data download: https://glad.umd.edu/dataset/gedi + +Type: WMS + +CRS: 4326 + +Submitter: glushkov2igor + +Source: Aucun(e) + +Date added: 15 septembre 2020 10:23 + +Last update: 17 septembre 2020 15:17 + +Service boundary: none + +Status: works + +\smallskip +\textbf{License & Copyright info} + +License name: Creative Commons Attribution 4.0 International License + +License URL: http://earthenginepartners.appspot.com/science-2013-global-forest/download\_v1.6.html + +Copyright text: Source: Hansen/UMD/Google/USGS/NASA + +Copyright URL: Aucun(e) + +Terms of use URL: Aucun(e) + +\smallskip +\textbf{WMS info} + +URL: https://glad.umd.edu/mapcache/?SERVICE=WMS?LAYER=forest\_height\_2019 + +GET parameters: Aucun(e) + +Layers: forest\_height\_2019 + +Turn over layers order: False + +Image format: image/png +\end{quotation} + +Ces informations sont très intéressantes et exploitables par les étudiants. + +\subsubsection{Construction des cartes} + \subsection{Arcgisonline.com} \end{document} diff --git a/images/Europe.eps b/images/Europe.eps new file mode 100644 index 0000000..b76532b --- /dev/null +++ b/images/Europe.eps @@ -0,0 +1,6811 @@ +%!PS-Adobe-3.0 EPSF-3.0 +%%Creator: GIMP PostScript file plug-in V 1.17 by Peter Kirchgessner +%%Title: Europe.eps +%%CreationDate: Fri Sep 25 16:56:34 2020 +%%DocumentData: Clean7Bit +%%LanguageLevel: 2 +%%Pages: 1 +%%BoundingBox: 14 14 298 246 +%%EndComments +%%BeginProlog +% Use own dictionary to avoid conflicts +10 dict begin +%%EndProlog +%%Page: 1 1 +% Translate for offset +14.173228346456694 14.173228346456694 translate +% Translate to begin of first scanline +0 230.96778380089424 translate +283.71968503937012 -230.96778380089424 scale +% Image geometry +398 324 8 +% Transformation matrix +[ 398 0 0 324 0 0 ] +% Strings to hold RGB-samples per scanline +/rstr 398 string def +/gstr 398 string def +/bstr 398 string def +{currentfile 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