[[["เข้าใจง่าย","easyToUnderstand","thumb-up"],["แก้ปัญหาของฉันได้","solvedMyProblem","thumb-up"],["อื่นๆ","otherUp","thumb-up"]],[["ไม่มีข้อมูลที่ฉันต้องการ","missingTheInformationINeed","thumb-down"],["ซับซ้อนเกินไป/มีหลายขั้นตอนมากเกินไป","tooComplicatedTooManySteps","thumb-down"],["ล้าสมัย","outOfDate","thumb-down"],["ปัญหาเกี่ยวกับการแปล","translationIssue","thumb-down"],["ตัวอย่าง/ปัญหาเกี่ยวกับโค้ด","samplesCodeIssue","thumb-down"],["อื่นๆ","otherDown","thumb-down"]],[],[[["This collection provides access to multiple versions of nighttime lights datasets, including DMSP-OLS and VIIRS."],["DMSP-OLS datasets offer global nighttime lights data, with versions focusing on radiance-calibrated imagery, time series analysis, and a consistent, corrected dataset (CCNL)."],["VIIRS datasets provide annual and monthly composites of nighttime lights, with options for stray light correction and varying versions (V2.1, V2.2)."],["These datasets allow for the analysis of nighttime light emissions, enabling studies on urbanization, economic activity, and environmental changes."],["Data from both DMSP-OLS and VIIRS are available for different time periods, allowing for temporal analysis and change detection."]]],["The core content focuses on various nighttime light datasets, including the Consistent and Corrected Nighttime Lights (CCNL) and multiple versions of the Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) and Visible Infrared Imaging Radiometer Suite (VIIRS) data. These datasets capture visible and near-infrared emissions at night, offering both annual and monthly composites. Data processing involves removing factors such as sunlit, moonlit, and cloudy pixels to produce refined, cloud-free composites. The CCNL dataset mitigates issues like inter-annual inconsistency and saturation.\n"]]
