This lesson defines 3 lidar data products: the digital elevation model (DEM), the digital surface model (DSM) and the canopy height model (CHM).
last updated: 11 Sep 2020
Rasters are gridded data composed of pixels that store values, such as an image or elevation data file. Learn how a lidar data point cloud is converted to a raster format such as a GeoTIFF.
last updated: 11 Sep 2020
This lesson covers what a lidar point cloud is. You will use the free plas.io point cloud viewer to explore a point cloud.
last updated: 11 Sep 2020
This lesson reviews what Lidar remote sensing is, what the lidar instrument measures and discusses the core components of a lidar remote sensing system.
last updated: 11 Sep 2020
Reclassifying raster data allows you to use a set of defined values to organize pixel values into new bins or categories. Learn how to classify a raster dataset and export it as a new raster in Python.
last updated: 09 Nov 2020
Often you need to process two raster datasets together to create a new raster output and then save that output as a new file. Learn how to subtract rasters and create a new GeoTIFF file using open source Python.
last updated: 09 Nov 2020
You can perform the same raster processing steps in Python that you would in a tool like ArcGIS. Learn how to process spatial raster data using Open Source Python.
last updated: 05 Nov 2020
Raster data are gridded data composed of pixels that store values, such as an image or elevation data file. Learn how to open, plot, and explore raster files in Python using Rasterio.
last updated: 05 Nov 2020
Challenge your skills. Practice opening, cleaning and plotting raster data in Python
last updated: 19 Aug 2021
Raster metadata includes the coordinate reference system (CRS), resolution, and spatial extent. Learn about these metadata and how to access them in Python
last updated: 06 Nov 2020
Raster data are gridded data composed of pixels that store values, such as an image or elevation data file. Learn how to open, plot, and explore raster files in Python.
last updated: 09 Nov 2020
Rasters are gridded data composed of pixels that store values. Learn more about the structure of raster data and how to use them to store data, such as imagery or elevation values.
last updated: 05 Nov 2020
It is important to compare differences between tree height measurements made by humans on the ground to those estimated using lidar remote sensing data. Learn how to perform this analysis and calculate error or uncertainty in R.
last updated: 03 Sep 2019
This lesson reviews how to extract pixels from a raster dataset using a vector boundary. You can use the extracted pixels to calculate mean and max tree height for a study area (in this case a field site where tree heights were measured on the ground. Finally you will compare tree heights derived from lidar data compared to tree height measured by humans on the ground.
last updated: 03 Sep 2019
There are difference sources of error when you measure tree height using Lidar. Learn about accuracy, precision and the sources of error associated with lidar remote sensing data.
last updated: 03 Sep 2019
You can clip a raster to a polygon extent to save processing time and make image sizes smaller. Learn how to crop a raster dataset in R.
last updated: 13 Mar 2020
This lesson presents how to classify a raster dataset and export it as a new raster in R.
last updated: 13 Mar 2020
A canopy height model contains height values trees and can be used to understand landscape change over time. Learn how to use LIDAR elevation data to calculate canopy height and change in terrain over time.
last updated: 03 Sep 2019
This lesson introduces the raster geotiff file format - which is often used to store lidar raster data. You learn the 3 key spatial attributes of a raster dataset including Coordinate reference system, spatial extent and resolution.
last updated: 03 Sep 2019
This lesson introduces the raster geotiff file format - which is often used to store lidar raster data. You learn the 3 key spatial attributes of a raster dataset including Coordinate reference system, spatial extent and resolution.
last updated: 13 Mar 2020
This lesson reviews how a lidar data point cloud is converted to a raster format such as a geotiff.
last updated: 03 Sep 2019
This lesson covers what a lidar point cloud is. We will use the free plas.io point cloud viewer to explore a point cloud.
last updated: 08 Jan 2020
This lesson reviews what lidar remote sensing is, what the lidar instrument measures and discusses the core components of a lidar remote sensing system.
last updated: 30 Mar 2020