# Remote Sensing and LiDAR Applications

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/remote-sensing-and-lidar-applications/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the use of Lidar remote sensing technology for mapping and assessing various forest attributes such as carbon stocks, aboveground biomass, tree height, and canopy structure at global and regional scales. The papers cover techniques like airborne and terrestrial laser scanning, data fusion, individual tree detection, and biomass estimation, highlighting the importance of Lidar in sustainable forest management and ecological research. |
| Domain | Physical Sciences |
| Field | Environmental Science |
| OpenAlex ID | t11164 |
| Works | 115 |

## Topic papers all

Showing 15 of 115.

- [An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation](https://scholariq.org/papers/an-easy-to-use-airborne-lidar-data-filtering-method-based-on-cloth-simulation/)
- [The National Elevation Dataset](https://scholariq.org/papers/the-national-elevation-dataset/)
- [Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives](https://scholariq.org/papers/unmanned-aerial-vehicle-remote-sensing-for-field-based-crop-phenotyping-current/)
- [Distributed solar photovoltaic array location and extent dataset for remote sensing object identification](https://scholariq.org/papers/distributed-solar-photovoltaic-array-location-and-extent-dataset-for-remote/)
- [Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art](https://scholariq.org/papers/multisource-and-multitemporal-data-fusion-in-remote-sensing-a-comprehensive/)
- [Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives](https://scholariq.org/papers/review-of-indirect-optical-measurements-of-leaf-area-index-recent-advances/)
- [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/)
- [Integration of optical and Synthetic Aperture Radar (SAR) imagery for delivering operational annual crop inventories](https://scholariq.org/papers/integration-of-optical-and-synthetic-aperture-radar-sar-imagery-for-delivering/)
- [LESS: LargE-Scale remote sensing data and image simulation framework over heterogeneous 3D scenes](https://scholariq.org/papers/less-large-scale-remote-sensing-data-and-image-simulation-framework-over/)
- [Vegetation Indices: Advances Made in Biomass Estimation and Vegetation Monitoring in the Last 30 Years](https://scholariq.org/papers/vegetation-indices-advances-made-in-biomass-estimation-and-vegetation-monitoring/)
- [Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer – a case study of small farmlands in the South of China](https://scholariq.org/papers/grain-yield-prediction-of-rice-using-multi-temporal-uav-based-rgb-and/)
- [Point Cloud Semantic Segmentation Using a Deep Learning Framework for Cultural Heritage](https://scholariq.org/papers/point-cloud-semantic-segmentation-using-a-deep-learning-framework-for-cultural/)
- [Drones: Innovative Technology for Use in Precision Pest Management](https://scholariq.org/papers/drones-innovative-technology-for-use-in-precision-pest-management/)
- [Automated mapping of soybean and corn using phenology](https://scholariq.org/papers/automated-mapping-of-soybean-and-corn-using-phenology/)
- [Constructing long-term high-frequency time series of global lake and reservoir areas using Landsat imagery](https://scholariq.org/papers/constructing-long-term-high-frequency-time-series-of-global-lake-and-reservoir/)

## Topic primary papers

Showing 15 of 34.

- [An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation](https://scholariq.org/papers/an-easy-to-use-airborne-lidar-data-filtering-method-based-on-cloth-simulation/)
- [The National Elevation Dataset](https://scholariq.org/papers/the-national-elevation-dataset/)
- [Review of indirect optical measurements of leaf area index: Recent advances, challenges, and perspectives](https://scholariq.org/papers/review-of-indirect-optical-measurements-of-leaf-area-index-recent-advances/)
- [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/)
- [Automatic Extraction of Power Lines From Aerial Images](https://scholariq.org/papers/automatic-extraction-of-power-lines-from-aerial-images/)
- [An Integrated GNSS/INS/LiDAR-SLAM Positioning Method for Highly Accurate Forest Stem Mapping](https://scholariq.org/papers/an-integrated-gnss-ins-lidar-slam-positioning-method-for-highly-accurate-forest/)
- [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/)
- [A Novel Approach for the Detection of Standing Tree Stems from Plot-Level Terrestrial Laser Scanning Data](https://scholariq.org/papers/a-novel-approach-for-the-detection-of-standing-tree-stems-from-plot-level/)
- [Individual Tree Crown Detection and Delineation From Very-High-Resolution UAV Images Based on Bias Field and Marker-Controlled Watershed Segmentation Algorithms](https://scholariq.org/papers/individual-tree-crown-detection-and-delineation-from-very-high-resolution-uav/)
- [A comprehensive study on urban true orthorectification](https://scholariq.org/papers/a-comprehensive-study-on-urban-true-orthorectification/)
- [SLAM-Aided Stem Mapping for Forest Inventory with Small-Footprint Mobile LiDAR](https://scholariq.org/papers/slam-aided-stem-mapping-for-forest-inventory-with-small-footprint-mobile-lidar/)
- [Mapping tropical forests and deciduous rubber plantations in Hainan Island, China by integrating PALSAR 25-m and multi-temporal Landsat images](https://scholariq.org/papers/mapping-tropical-forests-and-deciduous-rubber-plantations-in-hainan-island-china/)
- [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/)
- [Statistical behavior analysis and precision optimization for the laser stripe center detector based on Steger's algorithm](https://scholariq.org/papers/statistical-behavior-analysis-and-precision-optimization-for-the-laser-stripe/)
- [Swin Transformer and Deep Convolutional Neural Networks for Coastal Wetland Classification Using Sentinel-1, Sentinel-2, and LiDAR Data](https://scholariq.org/papers/swin-transformer-and-deep-convolutional-neural-networks-for-coastal-wetland/)

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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.