Landsat7 gap repaired imagery
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Landsat 7 imagery with SLC gaps repaired using multistep block mapping on principal component uniformity. Scenes repaired include path/row 46/29, 46/28, 27/29, 118/41, and 35/39 for various image acquisition dates. Python code performing the repair is also included' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["satellite imagery"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Landsat 7 imagery with SLC gaps repaired using multistep block mapping on principal component uniformity. Scenes repaired include path/row 46/29, 46/28, 27/29, 118/41, and 35/39 for various image acquisition dates. Python code performing the repair is also included' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Landsat 7 imagery with SLC gaps repaired using multistep block mapping on principal component uniformity. Scenes repaired include path/row 46/29, 46/28, 27/29, 118/41, and 35/39 for various image acquisition dates. Python code performing the repair is also included
satellite imagery