<jupyter_start><jupyter_text>We used the ASF search tool to download data over mangroves in Malaysia. Here is the specific areas within the [search tool](https://search.asf.alaska.edu//?zoom=11.066666666666666&center=100.744323,4.539299&polygon=POLYGON((100.4527%204.584,100.746%204.584,100.746%204.9416,100.4527%204.9416,100.4527%204.584))&dataset=ALOS&productTypes=RTC_LOW_RES&beamModes=FBD&resultsLoaded=true&granule=ALPSRP252880080-RTC_LOW_RES&path=490-490&frame=80-80). We then add these images to the queue and download the python script. We have the data in our `data/asf_data/download-alos1-data-malaysaia.py` which we now use. You will need an [Nasa Earthdata login](https://urs.earthdata.nasa.gov/) to proceed.The first command **should be run in your terminal without the `!`**. We run in it in the cell is so that you can *input your login credentials*. Below is what the output will be.<jupyter_code>!python data/asf_data/download-laurentides_quebec.py
!unzip '*.zip' -d 'data/asf_data/'
rm -rf AP_*.zip<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.12045889101338432, 'fraction_numerical': 0.11281070745697896, 'mean_word_length': 5.98, 'pattern_counts': {'":': 0, '<': 5, '<?xml version=': 0, '>': 5, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 1, 'word_list_counts': {'cursed_substrings.json': 4, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
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