A Novel Consistency Calibration Method for DMSP-OLS Nighttime Stable Light Time-Series Images
<|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:'Based on the (spatio-temporal adaptive pseudo-invariant pixel) STAPIP method, the nighttime lighting products in China (1992-2013) were generated. The product restores the DN value in the saturated area and is comparable between time series images' . 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" : ["nighttime light"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Based on the (spatio-temporal adaptive pseudo-invariant pixel) STAPIP method, the nighttime lighting products in China (1992-2013) were generated. The product restores the DN value in the saturated area and is comparable between time series images' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Based on the (spatio-temporal adaptive pseudo-invariant pixel) STAPIP method, the nighttime lighting products in China (1992-2013) were generated. The product restores the DN value in the saturated area and is comparable between time series images
nighttime light