Spatial Characteristics and Driving Mechanisms of Carbon Neutrality Progress in Tourism Attractions in the Qinghai–Tibet Plateau Based on Remote Sensing Methods
This research employs multi-source data including big data, remote sensing raster data, and statistical vector data. Through the superposition of tourism activity points of interest with remotely sensed inversion raster data like human carbon emissions, net primary productivity, and kilometer-grid G...
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Format: | Article |
Language: | English |
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MDPI AG
2024-11-01
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Series: | Remote Sensing |
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Online Access: | https://www.mdpi.com/2072-4292/16/23/4481 |