Enhancing spatial resolution of drought monitoring through a novel random forest-based GRACE drought index: a case study in Central Yunnan
The original coarse spatial resolution of Gravity Recovery and Climate Experiment (GRACE) data limits its application in small and medium-scale areas. The study proposes a novel random forest-based GRACE drought index (NRFGDI) to enhance the spatial resolution of drought monitoring, which is applied...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-01-01
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| Series: | Geocarto International |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2024.2387784 |
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| author | Xia Wang Wei Zheng Wenjie Yin Keke Xu Hebing Zhang Weiwei Lei |
| author_facet | Xia Wang Wei Zheng Wenjie Yin Keke Xu Hebing Zhang Weiwei Lei |
| author_sort | Xia Wang |
| collection | DOAJ |
| description | The original coarse spatial resolution of Gravity Recovery and Climate Experiment (GRACE) data limits its application in small and medium-scale areas. The study proposes a novel random forest-based GRACE drought index (NRFGDI) to enhance the spatial resolution of drought monitoring, which is applied to central Yunnan. We first employed the random forest (RF) algorithm to improve the spatial resolution of GRACE-derived terrestrial water storage anomaly (TWSA) to 0.1°, then established the NRFGDI based on the downscaled TWSA. Subsequently, the NRFGDI was verified using traditional drought indexes, including the standardized precipitation evapotranspiration index (SPEI) and the self-calibrating Palmer drought severity index (sc-PDSI), along with the 2009/2010 Bulletin of Flood and Drought Disasters in China. The NRFGDI not only captures drought characteristics, but also offers finer spatial resolution. The study provides an effective means for medium to small-scale drought monitoring, thereby making valuable contributions to decision-making processes concerning droughts in central Yunnan. |
| format | Article |
| id | doaj-art-e1cb4fdce81d4d30b2ea3034c3cbeb3c |
| institution | OA Journals |
| issn | 1010-6049 1752-0762 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Geocarto International |
| spelling | doaj-art-e1cb4fdce81d4d30b2ea3034c3cbeb3c2025-08-20T02:38:26ZengTaylor & Francis GroupGeocarto International1010-60491752-07622024-01-0139110.1080/10106049.2024.2387784Enhancing spatial resolution of drought monitoring through a novel random forest-based GRACE drought index: a case study in Central YunnanXia Wang0Wei Zheng1Wenjie Yin2Keke Xu3Hebing Zhang4Weiwei Lei5School of Surveying and Landing Information Engineering, Henan Polytechnic University, Jiaozuo, ChinaSchool of Surveying and Landing Information Engineering, Henan Polytechnic University, Jiaozuo, ChinaMinistry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing, ChinaSchool of Surveying and Landing Information Engineering, Henan Polytechnic University, Jiaozuo, ChinaSchool of Surveying and Landing Information Engineering, Henan Polytechnic University, Jiaozuo, ChinaSchool of Surveying and Landing Information Engineering, Henan Polytechnic University, Jiaozuo, ChinaThe original coarse spatial resolution of Gravity Recovery and Climate Experiment (GRACE) data limits its application in small and medium-scale areas. The study proposes a novel random forest-based GRACE drought index (NRFGDI) to enhance the spatial resolution of drought monitoring, which is applied to central Yunnan. We first employed the random forest (RF) algorithm to improve the spatial resolution of GRACE-derived terrestrial water storage anomaly (TWSA) to 0.1°, then established the NRFGDI based on the downscaled TWSA. Subsequently, the NRFGDI was verified using traditional drought indexes, including the standardized precipitation evapotranspiration index (SPEI) and the self-calibrating Palmer drought severity index (sc-PDSI), along with the 2009/2010 Bulletin of Flood and Drought Disasters in China. The NRFGDI not only captures drought characteristics, but also offers finer spatial resolution. The study provides an effective means for medium to small-scale drought monitoring, thereby making valuable contributions to decision-making processes concerning droughts in central Yunnan.https://www.tandfonline.com/doi/10.1080/10106049.2024.2387784Novel random forest-based GRACE drought indexterrestrial water storage anomalyspatial resolution enhancementsoil moisturedrought monitoring |
| spellingShingle | Xia Wang Wei Zheng Wenjie Yin Keke Xu Hebing Zhang Weiwei Lei Enhancing spatial resolution of drought monitoring through a novel random forest-based GRACE drought index: a case study in Central Yunnan Geocarto International Novel random forest-based GRACE drought index terrestrial water storage anomaly spatial resolution enhancement soil moisture drought monitoring |
| title | Enhancing spatial resolution of drought monitoring through a novel random forest-based GRACE drought index: a case study in Central Yunnan |
| title_full | Enhancing spatial resolution of drought monitoring through a novel random forest-based GRACE drought index: a case study in Central Yunnan |
| title_fullStr | Enhancing spatial resolution of drought monitoring through a novel random forest-based GRACE drought index: a case study in Central Yunnan |
| title_full_unstemmed | Enhancing spatial resolution of drought monitoring through a novel random forest-based GRACE drought index: a case study in Central Yunnan |
| title_short | Enhancing spatial resolution of drought monitoring through a novel random forest-based GRACE drought index: a case study in Central Yunnan |
| title_sort | enhancing spatial resolution of drought monitoring through a novel random forest based grace drought index a case study in central yunnan |
| topic | Novel random forest-based GRACE drought index terrestrial water storage anomaly spatial resolution enhancement soil moisture drought monitoring |
| url | https://www.tandfonline.com/doi/10.1080/10106049.2024.2387784 |
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