Analysing data
Extracting quantitative information from your data
By Karen1 author18 articles
How to convert your multispectral data to NDVI in QGISDerive an NDVI layer from your multispectral drone data for further analysis
Understanding multispectral vs RGB for capture and processingWith an increasing number of multispectral drones, it's important to understand the considerations in capture and processing
What is the point of the 'split' tool?The challenges of multi-part and single-part polygons!
Subtracting features and layers from each otherHow to deal with overlapping layers to ensure your area calculations aren't duplicated
How to calculate dataset summary statisticsLooking to quantitatively compare your datasets over space and time? Here's how dataset statistics can help.
How to calculate vector summary statisticsLearn how to use summary statistics to compare polygon layers and analyze key metrics like area, feature count, and spatial relationships.
How to slice features into multiple partsQuickly slice polygons into one more more smaller polygons
How to classify datasets to detect featuresTurn your datasets into information layers using our classification tools
How to create a heatmapIf you need to calculate the coverage or density of a particular feature of interest per unit area, heatmaps are for you!
How to calculate indicesUse your drone mapping data or Sentinel-2 imagery to calculate NDVI, Greenness Index, and more!
How to add hyperlinks and formatting to your project descriptionsAdd additional information to your projects to share with your stakeholders
How to use drone data to predict feature density across broader areasUse Predict Density to turn detailed drone observations and classifications into landscape-scale coverage estimates with Sentinel-2 data
How to classify thresholdsUse this when you need to generate specific classes (e.g. low, med, high) based on threshold values
How to understand and evaluate classification statisticsIf you want to understand how well your classification has performed, and amount of area covered by each category, read on!
How to generate a slope layer from your DSM or DTMUse you drone data to assess the degree of slope within every pixel at a site
How to adjust DSM and DTM values in your datasetApply a constant offset for your DSM and DTM across at dataset
Vegetation Trajectory Analysis ReportThis guide explains each section of the report and what the information means for assessing your site's rehabilitation progress.
Understanding slope exceedance analysisLearn how to read the Slope Exceedance Report: current metrics, risk status, slope-band distribution, priority hotspot map, and top field-check sites to identify erosion risk and plan targeted rehabilitation actions.