I am working on Sentinel-1 datasets and any time I want to view target image, I get this error message. I am just beginning to use SNAP. I have tried severally and it keeps giving me the same error message. Can someone please help me.
this has been reported and discussed several times, please have a look at these posts:
- S2 export into tiff - NaturalRGB or Falso color infrared RGB
- S1 TOPS Coregistration error - Java heap space error?
- Problem creating image from a band
Basically, your computer does not have enough memory to process the operation or cannot provide it to SNAP.
Usually, this error is thrown when the Java Virtual Machine cannot allocate an object because it is out of memory, and no more memory could be made available by the garbage collector.
Therefore you pretty much have two options:
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Increase the default memory your program is allowed to use using the -Xmx option (for instance for 1024 MB: -Xmx1024m)
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Modify your program so that it needs less memory, using less big data structures and getting rid of objects that are not any more used at some point in your program
Increasing the heap size is a bad solution, 100% temporary. It will crash again in somewhere else. To avoid these issues, write high performance code.
- Use local variables wherever possible.
- Make sure you select the correct object (EX: Selection between String, StringBuffer and StringBuilder)
- Use a good code system for your program(EX: Using static variables VS non static variables)
- Other stuff which could work on your code.
- Try to move with Multy Threading
In general, this “Java Heap Space” error will be caused by insufficient Java heap memory allocation. The java.lang.OutOfMemoryError: Java heap space error that you are facing actually indicates that your JVM is running out of memory to allocate for objects in the heap. Even though you’ve allocated some GB to the container, there could be a possibility that the actual Java heap size being used by the Metabase JVM is much lower. This is because, always, JVM by default does not utilize the full container memory unless we instruct to.
So as I mentioned above, the error “java.lang.OutOfMemoryError: Java heap space” indicates that the SNAP application has run out of memory while trying to load or process your Sentinel-1 dataset. This usually happens when the image or dataset you are working with is too large for the amount of memory allocated to the Java Virtual Machine (JVM).
To overcome this, try increasing the memory allocation for SNAP. Go to the SNAP installation directory → bin folder → open snap.conf file (on Windows) or snap.conf under /etc (on Linux). Look for the line that starts with default_options and increase the -Xmx value (for example, change -Xmx4G to -Xmx8G) before which you have to make sure if your system has enough RAM to make such a change.
Additionally, try working with smaller subsets of your dataset by using the Subset tool in SNAP instead of loading the entire image at once. This will help you in reducing the memory usage. After making these changes, restart SNAP and load your dataset again. The issue should be resolved. If you are interested in learning about the types of OutOfMemoryError, you can check out this blog: Types of OutOfMemoryError, Causes, and Solutions.