# Feng Zhao

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/feng-zhao/

## Facts

| Field | Value |
| --- | --- |
| Citations | 3,226 |
| Field | Remote Sensing in Agriculture |
| h-index | 28 |
| i10-index | 43 |
| Last Known Institution | Central China Normal University |
| OpenAlex ID | https://openalex.org/A5009738904 |
| ORCID iD | 0000-0003-4534-933X |
| Works | 106 |

## Researcher papers

- [Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018](https://scholariq.org/papers/mapping-essential-urban-land-use-categories-in-china-euluc-china-preliminary/)
- [Exploring the relationship between 2D/3D landscape pattern and land surface temperature based on explainable eXtreme Gradient Boosting tree: A case study of Shanghai, China](https://scholariq.org/papers/exploring-the-relationship-between-2d-3d-landscape-pattern-and-land-surface/)
- [Deriving and validating Leaf Area Index (LAI) at multiple spatial scales through lidar remote sensing: A case study in Sierra National Forest, CA](https://scholariq.org/papers/deriving-and-validating-leaf-area-index-lai-at-multiple-spatial-scales-through/)
- [View-based greenery: A three-dimensional assessment of city buildings’ green visibility using Floor Green View Index](https://scholariq.org/papers/view-based-greenery-a-three-dimensional-assessment-of-city-buildings-green/)
- [Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem](https://scholariq.org/papers/using-high-spatial-resolution-satellite-imagery-to-map-forest-burn-severity/)
- [Three-dimensional forest reconstruction and structural parameter retrievals using a terrestrial full-waveform lidar instrument (Echidna®)](https://scholariq.org/papers/three-dimensional-forest-reconstruction-and-structural-parameter-retrievals/)
- [Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed pine-oak forest using multi-sensor remote sensing techniques](https://scholariq.org/papers/measuring-short-term-post-fire-forest-recovery-across-a-burn-severity-gradient/)
- [Tracking annual cropland changes from 1984 to 2016 using time-series Landsat images with a change-detection and post-classification approach: Experiments from three sites in Africa](https://scholariq.org/papers/tracking-annual-cropland-changes-from-1984-to-2016-using-time-series-landsat/)
- [Monthly mapping of forest harvesting using dense time series Sentinel-1 SAR imagery and deep learning](https://scholariq.org/papers/monthly-mapping-of-forest-harvesting-using-dense-time-series-sentinel-1-sar/)
- [Advancing the Mapping of Mangrove Forests at National-Scale Using Sentinel-1 and Sentinel-2 Time-Series Data with Google Earth Engine: A Case Study in China](https://scholariq.org/papers/advancing-the-mapping-of-mangrove-forests-at-national-scale-using-sentinel-1-and/)
- [Improved monitoring of southern corn rust using UAV-based multi-view imagery and an attention-based deep learning method](https://scholariq.org/papers/improved-monitoring-of-southern-corn-rust-using-uav-based-multi-view-imagery-and/)

## Researcher topics

- [Remote Sensing in Agriculture](https://scholariq.org/topics/remote-sensing-in-agriculture/)
- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)
- [Fire effects on ecosystems](https://scholariq.org/topics/fire-effects-on-ecosystems/)
- [Remote Sensing and Land Use](https://scholariq.org/topics/remote-sensing-and-land-use/)
- [Land Use and Ecosystem Services](https://scholariq.org/topics/land-use-and-ecosystem-services/)

## Researcher university

- [Central China Normal University](https://scholariq.org/institutions/central-china-normal-university/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.