diff --git a/01-setting-up.md b/01-setting-up.md index 2220876..e457cfc 100644 --- a/01-setting-up.md +++ b/01-setting-up.md @@ -6,7 +6,7 @@ To install QGIS, start by downloading the installation file for your operating s https://qgis.org/en/site/forusers/download.html -Please install the **long-term release (most stable)** version, which is currently QGIS 3.10 (*A Coruña*). We recommend using a **Standalone installer**. +Please install the **long-term release (most stable)** version, which is currently QGIS 3.16.8 (*Hannover*). We recommend using a **Standalone installer**. Installation is usually very straight-forward. More detailed instructions are available at https://qgis.org/en/site/forusers/alldownloads.html. diff --git a/02-multispectral-data-visualization.md b/02-multispectral-data-visualization.md index 7e25030..d3629ad 100644 --- a/02-multispectral-data-visualization.md +++ b/02-multispectral-data-visualization.md @@ -63,7 +63,7 @@ A raster is data stored as individual pixels and displayed as an image. Most of 2. Don’t include areas that are not of interest such as roads or other fields in the color scheme. This ofter causes there to be less contrast in colors in the area of interest and can be distracting to a viewer. Know what you are trying to show and maximize that in the image. + One way to remove areas of interest is to clip to the area of interest. + Clip to an area of interest by navigating to the `Clip Raster by Extent` tool though `Raster` >> `Extraction` >> `Clip Raster by Extent...` (you can also navigate to the `Clip Raster by Extent` tool through the `Processing Toolbox`) - + Choose a *Clipping extent* by clicking `...` and choosing `Select Extent on Canvas` + + Choose a *Clipping extent* by clicking `...` and choosing `Draw on Canvas` ![](/img/clipping-by-extent-1.png) + This allow you to select an area of interest manually. ![](/img/clipping-by-extent-2.png) @@ -119,7 +119,7 @@ A raster is data stored as individual pixels and displayed as an image. Most of ![](/img/map-5.png) - + For another, more in-depth tutorial on map making see: [https://docs.qgis.org/3.10/en/docs/training_manual/forestry/results_map.html](https://docs.qgis.org/3.10/en/docs/training_manual/forestry/results_map.html) + + For another, more in-depth tutorial on map making see: [https://docs.qgis.org/3.16/en/docs/training_manual/forestry/results_map.html](https://docs.qgis.org/3.10/en/docs/training_manual/forestry/results_map.html) Now you are ready to move on to [Multispectral Data Extraction (Low throughput)](03-multispectral-data-extraction.md)! diff --git a/README.md b/README.md index 46a73ef..953d841 100644 --- a/README.md +++ b/README.md @@ -8,10 +8,10 @@ These methods have been presented at Maptime Davis (Analyzing Drone Data October ## Requirements -* To install QGIS go to: https://qgis.org/en/site/forusers/download.html. For more detailed instructions about how to install QGIS go to: https://qgis.org/en/site/forusers/alldownloads.html. These lessons currently use the long-term (most stable) release of QGIS, QGIS 3.10 (A Coruña).  +* To install QGIS go to: https://qgis.org/en/site/forusers/download.html. For more detailed instructions about how to install QGIS go to: https://qgis.org/en/site/forusers/alldownloads.html. These lessons currently use the long-term (most stable) release of QGIS, QGIS 3.16.8 (Hannover).  * QGIS is available on Windows, macOS, Linux and Android. Please note that these lessons were developed and tested on Windows. The software appearance and behavior may differ based on operating systems. * To use R with QGIS, the R software and the packages needed to run the scripts need to be downloaded outside of QGIS. -* To install R go to https://cran.r-project.org/mirrors.html. For ore detailed instruction about hot to install R, a good resource is: https://owi.usgs.gov/R/training-curriculum/installr/ The high throughput method and scripts were tested on R 4.0.0 "Arbor Day". +* To install R go to https://cran.r-project.org/mirrors.html. For ore detailed instruction about hot to install R, a good resource is: https://owi.usgs.gov/R/training-curriculum/installr/ The high throughput method and scripts were tested on R 4.1.0 "Camp Pontanezen". ## Topics