Yaojie Yue
Biographic Data
| ID | 6320733 |
|---|---|
| NAME | Yaojie Yue |
| GIVEN NAMES | Yaojie |
| FAMILY NAME | Yue |
| SIGNATURE | YUE Y |
| AFFILIATIONS | Beijing Normal University |
| ORCID | 0000-0001-5198-1281 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 2 |
Spatial-Temporal Pattern of Human-Induced Land Degradation in Northern China in the Past 3 Decades—RESTREND Approach
Land degradation is one of the world's most serious environmental issues. Human activities play an important role in it. Therefore, human-induced land degradation monitoring is of crucial scientific significance in revealing the evolution of land degradation and guiding its governance. Based on the residual trend (RESTREND) approach and using Global Inventory Modeling and Mapping Studies (GIMMS) normalized difference vegetation index (NDVI) 3g an…
Assessing wild fire risk in the United States using social media data
Massive Geo-tagged social media data provide new opportunities for disaster risk assessment, prevention, and management. This article presents a proof of concept for assessing wildfire risk using Geo-tagged social media data, by taking wildfire risk as a function of wildfire hazard and social–ecological vulnerability. The case study of the United States shows that the regions with the highest wildfire hazard are concentrated in the Western, while…
How adjustments in land use patterns contribute to drought risk adaptation in a changing climate—A case study in China
Assessing wild fire risk in the United States using social media data
Massive Geo-tagged social media data provide new opportunities for disaster risk assessment, prevention, and management. This article presents a proof of concept for assessing wildfire risk using Geo-tagged social media data, by taking wildfire risk as a function of wildfire hazard and social–ecological vulnerability. The case study of the United States shows that the regions with the highest wildfire hazard are concentrated in the Western, while…
How adjustments in land use patterns contribute to drought risk adaptation in a changing climate—A case study in China
How adjustments in land use patterns contribute to drought risk adaptation in a changing climate—A case study in China
Spatial-Temporal Pattern of Human-Induced Land Degradation in Northern China in the Past 3 Decades—RESTREND Approach
Land degradation is one of the world's most serious environmental issues. Human activities play an important role in it. Therefore, human-induced land degradation monitoring is of crucial scientific significance in revealing the evolution of land degradation and guiding its governance. Based on the residual trend (RESTREND) approach and using Global Inventory Modeling and Mapping Studies (GIMMS) normalized difference vegetation index (NDVI) 3g an…
Assessing wild fire risk in the United States using social media data
Massive Geo-tagged social media data provide new opportunities for disaster risk assessment, prevention, and management. This article presents a proof of concept for assessing wildfire risk using Geo-tagged social media data, by taking wildfire risk as a function of wildfire hazard and social–ecological vulnerability. The case study of the United States shows that the regions with the highest wildfire hazard are concentrated in the Western, while…
Ecology (3 works) · Environmental Science (3 works) · Geography (3 works) · Biology (2 works) · China (2 works) · Climate change (2 works) · Climatology (2 works) · Environmental resource management (2 works) · Geology (2 works) · Land use (2 works)