Finally, you'll create a forest recovery map to assess the length it took for disturbed areas to recover back to mature forest. Then you'll create a forest disturbance map to identify events like logging and fires throughout the forest history. First, you'll generate a change analysis raster. Next, you'll analyze the change for all the pixels in the image. You explored forest change interactively at a defined pixel location. You'll now generate a similar graph yourself.Ĭreate forest disturbance and recovery maps
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You'll do this exploration interactively, using the Pixel Time Series Change Explorer pane. Next, you'll use the NBR time series layer to start exploring how the forest has changed over time.
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To get started, you'll download a project that contains all the data for this lesson and open it in ArcGIS Pro. You'll then prepare your image time series for analysis and start exploring it interactively.
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One of them is the LandTrendr algorithm, which relies on Landsat imagery and is commonly used for forest applications.įirst, you'll get set up in ArcGIS Pro and become familiar with multidimensional rasters, the dataset model used to represent image time series. The ArcGIS Image Analyst extension offers two time series change detection algorithms for imagery. Image time series analysis uses algorithms to detect these pixel value changes. Such disturbances are usually reflected in the images by abrupt changes in the pixels' value. For instance, you might see how in a forested area trees were cut and then regrown, or how fires or pest infestation occurred. You can use an image time series to understand change over time. This allows the detection, analysis, and monitoring of land use change over that long span of time.Īn image time series is a set of images taken at different times in the same location. Most specifically, Landsat-TM imagery offers continuous coverage of Earth's land surface every 16 days since 1984. This imagery provides a comprehensive view of a region, where the location, distribution, and spatial relationships of features can be detected and measured. Satellite imagery, such as Landsat, captures information about land cover and features on the ground over large areas. If you're using a different version of ArcGIS Pro, you may encounter different functionality and results.Įxplore pixel time series change interactively This lesson was last tested on January 17, 2021, using ArcGIS Pro 2.9. In this lesson, as a GIS analyst for the Oregon Department of Forestry, you'll use tools based on the LandTrendr algorithm (Landsat-based detection of Trends in Disturbance and Recovery) to better understand the spatial and temporal patterns of timber harvest and detect other potential disturbances. For the data, it will rely on Landsat satellite imagery archives spanning several decades. The State plans to leverage ArcGIS Pro time series image analysis capabilities to drive forest management practices. The West Cascades ecoregion, in Oregon, contains large forests that include both commercial timber production land and federal and state preserved land. Monitoring forest disturbances, such as tree logging activities, forest fire, and pest infestation is an important task for forest management. Forests are an important natural resource that provides wood products, wildlife habitat, clean water and air, carbon sequestering, recreational opportunities, and more.
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