How to reclassify ndwi using Google Earth Engine?
– Geographic Information Systems Stack Exchange Reclassifying NDWI using Google Earth Engine? I’m trying to reclassify a NDWI raster into 1 for values >0.4 and 0 for <0.4. I understand that its possible to use .remap in case of discrete values, but not sure how to reclassify NDWI raster using a threshold.
How to generate median composite image of ndwi?
I want to generate the median composite image of ndwi images of several dates in google earth engine. How can I do that and how to shorten the code itelf?
How to calculate ndwi from Sentinel 2 image collection?
– Geographic Information Systems Stack Exchange Google Earth Engine code for calculating NDWI from sentinel 2 image collection?
How to reclassify a ndwi raster into 1?
I’m trying to reclassify a NDWI raster into 1 for values >0.4 and 0 for <0.4. I understand that its possible to use .remap in case of discrete values, but not sure how to reclassify NDWI raster using a threshold. Ideally, I need a function which will reclassify each image in a collection. What about values equal to 0.4?
How to reclassify raster values in Google Earth Engine?
Reclassifying raster values in Google Earth Engine? I need to reclassify slope raster (val: 0-90) to 9 classes (1-9). I used this code but the output raster cannot be displayed.
Which is MODIS albedo model does Earth Engine use?
The MCD43A3 V6 Albedo Model dataset is a daily 16-day product. It provides both directional hemispherical reflectance (black sky albedo) and bihemispherical reflectance (white sky albedo) for each of the MODIS surface reflectance bands (band 1 through band 7) as well as 3 broad spectrum bands (visible, near infrared, and shortwave).
How is classification done in Google Earth Engine?
The general workflow for classification is: Collect training data. Assemble features which have a property that stores the known class label and properties storing numeric values for the predictors. Instantiate a classifier. Set its parameters if necessary. Train the classifier using the training data. Classify an image or feature collection.