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How to remove Cloud Shadow from Landsat 8 images?
Landsat 8 images which have heterogeneous land cover and variety of cloud types are chosen in the experiments to prove that MCR is robust method for removing cloud and cloud shadow and can be used for image that has heterogeneous land cover and variety of cloud types. We use visual and statistical assessments to evaluate the results.
How can I identify the pixel values on Landsat 7?
You can use the Identify tool in ArcGIS Pro to click around on the Landsat 7 and Landsat 8 QA products to see which pixel values correspond to land and water vs. cloud and cloud shadow. Now you might be wondering: how do I apply a QA mask for a collection of images?
What can you do with Landsat image archive?
The Landsat image archive is a great source for time series image analysis and change detection. Using Esri’s multidimensional raster analysis tools, you can explore time series image data to find out when, what, and where changes have happened. But before you can analyze change, you need to get your image data ready for processing.
How to set reflectance on Landsat 4-5 TM?
For Raster Type, choose Landsat 4-5 TM. Click the Raster Type property button to open the Raster Type Properties window. In the Processing section, select Surface Reflectance for Processing Templates. For Band Combination, set the Method to Band IDs.
Which is the best cloud mask for Landsat 8?
We use 26 Landsat 8 scenes with manually delineated cloud, snow, and land cover to assess the performance of two cloud masks: CFMask for the Landsat 8 OLI and the cloud mask that ships with Moderate-Resolution Imaging Spectroradiometer (MODIS) surface reflectance products MOD09GA and MYD09GA.
How many pixels are covered in snow in Landsat 8?
In mountain ranges worldwide, reflectance signatures of nearly every MODIS snow-covered pixel and 93% of Landsat snow-covered pixels indicate the pixel includes other land covers (Selkowitz et al., 2014 ).
Why does cloud masking not work on snow?
A plausible reason for poorer performance of cloud masks over snow lies in the potential similarity between multispectral signatures of snow and cloud pixels in three situations: (1) Snow at high elevation is bright enough in the “cirrus” bands (Landsat band 9 or MODIS band 26) to be classified as cirrus.
How does the presence of clouds affect a Landsat image?
But before you can analyze change, you need to get your image data ready for processing. As you can imagine, the presence of clouds and shadow in a Landsat scene will affect the results of change analysis.