From 822435818625c779dae3b2e8ab03414c6dccae10 Mon Sep 17 00:00:00 2001 From: jakimowb Date: Wed, 24 May 2023 16:46:07 +0200 Subject: [PATCH] Update presentation jakimow --- QOD-May-2023.md | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/QOD-May-2023.md b/QOD-May-2023.md index 35c620a..2a84df3 100644 --- a/QOD-May-2023.md +++ b/QOD-May-2023.md @@ -40,7 +40,12 @@ No | Name | Role | Contact **Presenters:** Benjamin Jakimow **Description:** -Satellite missions like [EnMAP](https://www.enmap.org/) and [PRISMA (Cogliati et al., 2021)](https://doi.org/10.1016/j.rse.2021.112499) observe the Earth surface with hyperspectral resolution. The provided imaging spectroscopy data is highly valuable for biophysical, agricultural, geological hydrological applications. This presentation gives an overview on the typical characteristics of such imaging spectroscopy raster data, where to get it for free, and what makes it different to data from satellites like Landsat and Sentinel-2. We show typical problems that QGIS users and developers are confronted with when using imaging spectroscopy data, and how these problems can be solved exemplary using the [EnMAP-Box plugin](https://enmap-box.readthedocs.io). Finally, we discuss conceptional ideas how QGIS in general may be enhanced to better exploit the spectral in multi-, super- and hyperspectral raster data. + +Satellite missions like [EnMAP](https://www.enmap.org/) and [PRISMA](https://doi.org/10.1016/j.rse.2021.112499) observe the Earth surface with hyperspectral resolution. The provided imaging spectroscopy data is highly valuable for biophysical, agricultural, geological hydrological applications. + +This presentation gives an overview on the typical characteristics of such imaging spectroscopy raster data, where to get it for free, and what makes it different to data from satellites like Landsat and Sentinel-2. We show typical problems that QGIS users and developers are confronted with when using imaging spectroscopy data, and how these problems can be solved exemplary using the [EnMAP-Box](https://enmap-box.readthedocs.io). + +Finally, we discuss conceptional ideas how QGIS in general may be enhanced to better exploit the spectral in multi-, super- and hyperspectral raster data. ## Publishing difficult? Not with the GeoCat Bridge plugin!