1. Fused NDVI time series (30-m and 16-day) for Poyang Lake Basin (2000-2014)
This dataset contains 342 scenes of NDVI time series derived from fusing Landsat and MODIS data from 2000 to 2014 with our developed “spatiotemporal adaptive fusion model for NDVI” (STAFFN). With a spatial resolution of 30-m and a temporal resolution of 16-day, it can greatly support the dynamic monitoring of the Poyang Lake basin ecosystem (China’s largest freshwater lake).
Data Availability: this dataset (large file size) can be retrieved by inquiring to authors.
Ref: Chen, B., Chen, L., Huang, B., Michishita, R., & Xu, B. (2018). Dynamic monitoring of the Poyang Lake wetland by integrating Landsat and MODIS observations. ISPRS Journal of Photogrammetry and Remote Sensing, 139, 75-87.
2. Mapping of Essential Urban Land Use Categories (EULUC)
(1) EULUC-China: Parcel-level urban land use classification map in China
Data download: https://drive.google.com/file/d/1Xbk0GcGtx9GPRJpc0efhuxrmoftiZi3T/view?usp=sharing
Ref: Gong, P., Chen, B., Li, X. et al. (2020). Mapping essential urban land use categories in China (EULUC-China): Preliminary results for 2018. Science Bulletin, 65, 182-187.
(2) EULUC-USA: Parcel-level urban land use classification map for five metropolitan areas of the USA.
Data download: https://drive.google.com/file/d/18aLaOE9m8_zAY9h2dGWCkUqvtxlvCDiy/view?usp=sharing
Ref: Chen, B., Tu, Y., Song, Y. et al. (2021). Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America. ISPRS Journal of Photogrammetry and Remote Sensing, 178, 203-218.
3. The land-sea interface mapping: China’s coastal land covers at 10 meters for 2020
Data visualization:https://hkufuselab.users.earthengine.app/view/cclc
Data download: https://drive.google.com/file/d/1RkrRT5zYwRJbn5Aiwe053SfovQHdB2hA/view?usp=sharing
Ref: Li, M., Chen, B., Webster, C., Gong, B. & Xu, B. (2022) The land-sea interface mapping: China’s coastal land covers at 10 meters for 2020. Science Bulletin. DOI: 10.1016/j.scib.2022.07.012
4. Multi-scale assessment of human exposure to greenspace in China
Data visualization: Online GIS platform of greenspace exposure in China
Ref: Chen, B., Tu, Y., Wu, S., Song, Y., Jin, Y., Webster, C., Xu, B. & Gong, P. (2022). Beyond green environments: multi-scale difference in human exposure to greenspace in China. Environment International,166, 107348
5. Global wildland–urban interface (WUI) areas
Data download: https://drive.google.com/file/d/1q1Y3sxn_OE1cmrltO3ZP9UmKlSdNzyoS/view?usp=sharing
Ref: Chen, B., Wu, S., Jin, Y., Song, Y., Wu, C., Venevsky, S., Xu, B., Webster, C. & Gong, B. (2022) Wildfire risk for global wildland–urban interface (WUI) areas. DOI: 10.21203/rs.3.rs-2147308/v1