# Liheng Zhong

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/liheng-zhong/

## Facts

| Field | Value |
| --- | --- |
| Citations | 3,459 |
| Field | Remote Sensing in Agriculture |
| h-index | 20 |
| i10-index | 27 |
| Last Known Institution | Zhejiang Energy Group (China) |
| OpenAlex ID | https://openalex.org/A5057033978 |
| ORCID iD | 0000-0002-8161-9168 |
| Works | 69 |

## Researcher papers

- [Deep learning based multi-temporal crop classification](https://scholariq.org/papers/deep-learning-based-multi-temporal-crop-classification/)
- [Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery](https://scholariq.org/papers/efficient-corn-and-soybean-mapping-with-temporal-extendability-a-multi-year/)
- [Automated mapping of soybean and corn using phenology](https://scholariq.org/papers/automated-mapping-of-soybean-and-corn-using-phenology/)
- [SkySense: A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery](https://scholariq.org/papers/skysense-a-multi-modal-remote-sensing-foundation-model-towards-universal/)
- [FROM-GC: 30 m global cropland extent derived through multisource data integration](https://scholariq.org/papers/from-gc-30-m-global-cropland-extent-derived-through-multisource-data-integration/)
- [DKDFN: Domain Knowledge-Guided deep collaborative fusion network for multimodal unitemporal remote sensing land cover classification](https://scholariq.org/papers/dkdfn-domain-knowledge-guided-deep-collaborative-fusion-network-for-multimodal/)
- [Early- and in-season crop type mapping without current-year ground truth: Generating labels from historical information via a topology-based approach](https://scholariq.org/papers/early-and-in-season-crop-type-mapping-without-current-year-ground-truth/)
- [A phenology-based approach to map crop types in the San Joaquin Valley, California](https://scholariq.org/papers/a-phenology-based-approach-to-map-crop-types-in-the-san-joaquin-valley/)
- [Mapping dynamic cover types in a large seasonally flooded wetland using extended principal component analysis and object-based classification](https://scholariq.org/papers/mapping-dynamic-cover-types-in-a-large-seasonally-flooded-wetland-using-extended/)
- [Wheat yield estimation using remote sensing data based on machine learning approaches](https://scholariq.org/papers/wheat-yield-estimation-using-remote-sensing-data-based-on-machine-learning/)
- [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/)
- [Land Use and Ecosystem Services](https://scholariq.org/topics/land-use-and-ecosystem-services/)
- [Smart Agriculture and AI](https://scholariq.org/topics/smart-agriculture-and-ai/)
- [Soil Geostatistics and Mapping](https://scholariq.org/topics/soil-geostatistics-and-mapping/)

## Researcher university

- [Zhejiang Energy Group (China)](https://scholariq.org/institutions/zhejiang-energy-group-china/)

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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.