Xiaobo Lv
Biographic Data
| ID | 9672541 |
|---|---|
| NAME | Xiaobo Lv |
| GIVEN NAMES | Xiaobo |
| FAMILY NAME | Lv |
| SIGNATURE | LV X |
| AFFILIATIONS | College of Geography and Remote Sensing Sciences Xinjiang University Urumqi China |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Synergistic Retrieval of Soil Moisture in Arid Regions Using GF ‐3 SAR and Sentinel‐2 Optical Data
As a vital component of the land–atmosphere interaction system, soil moisture plays an indispensable role. In arid and semi‐arid regions, soil moisture serves as a key indicator of ecosystem vulnerability and also functions as an essential role in drought monitoring, climate research, agricultural water resource management, and land management. This study integrates radar and optical remote sensing data combined with intelligent algorithms based …
No prominent works on this page.
Synergistic Retrieval of Soil Moisture in Arid Regions Using GF ‐3 SAR and Sentinel‐2 Optical Data
As a vital component of the land–atmosphere interaction system, soil moisture plays an indispensable role. In arid and semi‐arid regions, soil moisture serves as a key indicator of ecosystem vulnerability and also functions as an essential role in drought monitoring, climate research, agricultural water resource management, and land management. This study integrates radar and optical remote sensing data combined with intelligent algorithms based …
Arid (1 work) · Data set (1 work) · Mean squared error (1 work) · Moisture (1 work) · Radar (1 work) · Random forest (1 work) · Remote Sensing in Agriculture (1 work) · Soil Geostatistics and Mapping (1 work) · Soil Moisture and Remote Sensing (1 work) · Support vector machine (1 work)