README.md

---
tags:
- bertopic
library_name: bertopic
pipeline_tag: text-classification
---

# rs_abstracts_tpc_mdl_voyage_lite_gpt3_5_representations

This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. 
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. 

## Usage 

To use this model, please install BERTopic:

```
pip install -U bertopic
```

You can use the model as follows:

```python
from bertopic import BERTopic
topic_model = BERTopic.load("mmarks13/rs_abstracts_tpc_mdl_voyage_lite_gpt3_5_representations")

topic_model.get_topic_info()
```

## Topic overview

* Number of topics: 95
* Number of training documents: 5000

<details>
  <summary>Click here for an overview of all topics.</summary>
  
  | Topic ID | Topic Keywords | Topic Frequency | Label | 
|----------|----------------|-----------------|-------| 
| -1 | Remote Sensing for Environmental Monitoring and Land-Use Classification | 10 | -1_Remote Sensing for Environmental Monitoring and Land-Use Classification | 
| 0 | Improving Crop Yield Estimation with UAV Remote Sensing Data and Machine Learning | 1337 | 0_Improving Crop Yield Estimation with UAV Remote Sensing Data and Machine Learning | 
| 1 | Radar Imaging Techniques for Multi-target Detection and Recognition | 265 | 1_Radar Imaging Techniques for Multi-target Detection and Recognition | 
| 2 | Spatial and Temporal Analysis of Ecological Land-Use Change in River Basins | 243 | 2_Spatial and Temporal Analysis of Ecological Land-Use Change in River Basins | 
| 3 | Remote Sensing Image Enhancement and Analysis Using Advanced Deep Learning Techniques | 96 | 3_Remote Sensing Image Enhancement and Analysis Using Advanced Deep Learning Techniques | 
| 4 | Spatiotemporal Analysis of Vegetation Response to Climate Change in Various Regions | 90 | 4_Spatiotemporal Analysis of Vegetation Response to Climate Change in Various Regions | 
| 5 | Advanced Deep Learning Techniques for Remote Sensing Change Detection | 81 | 5_Advanced Deep Learning Techniques for Remote Sensing Change Detection | 
| 6 | Integration of Ensemble Learning Models in Flood Risk Assessment | 79 | 6_Integration of Ensemble Learning Models in Flood Risk Assessment | 
| 7 | Enhancing positioning accuracy of GNSS receivers in challenging environments | 73 | 7_Enhancing positioning accuracy of GNSS receivers in challenging environments | 
| 8 | Lightweight SAR Ship Detection Networks | 73 | 8_Lightweight SAR Ship Detection Networks | 
| 9 | Lightweight Semantic Segmentation Networks for Remote Sensing Images | 65 | 9_Lightweight Semantic Segmentation Networks for Remote Sensing Images | 
| 10 | Advanced Small Object Detection in Remote Sensing Images | 65 | 10_Advanced Small Object Detection in Remote Sensing Images | 
| 11 | Remote Sensing Monitoring of Water Quality in Inland Lakes | 64 | 11_Remote Sensing Monitoring of Water Quality in Inland Lakes | 
| 12 | Urban Heat Island Effects and Land Surface Temperature Analysis in Various Cities | 63 | 12_Urban Heat Island Effects and Land Surface Temperature Analysis in Various Cities | 
| 13 | Mapping Forest Canopy Height Using Deep Learning and Lidar Technology | 62 | 13_Mapping Forest Canopy Height Using Deep Learning and Lidar Technology | 
| 14 | Building Extraction from Remote Sensing Images using Deep Learning Models | 59 | 14_Building Extraction from Remote Sensing Images using Deep Learning Models | 
| 15 | Enhancing Urban Development Monitoring Using Nighttime Light Data | 59 | 15_Enhancing Urban Development Monitoring Using Nighttime Light Data | 
| 16 | Novel Methods for Multimodal Remote Sensing Data Fusion and Classification | 58 | 16_Novel Methods for Multimodal Remote Sensing Data Fusion and Classification | 
| 17 | Lightweight deep learning methods for hyperspectral image classification | 55 | 17_Lightweight deep learning methods for hyperspectral image classification | 
| 18 | Predicting forest fire occurrence using machine learning models and remote sensing data | 55 | 18_Predicting forest fire occurrence using machine learning models and remote sensing data | 
| 19 | Individual tree segmentation methods for forest resource assessment | 54 | 19_Individual tree segmentation methods for forest resource assessment | 
| 20 | Evaluation of Soil Moisture Products Using Cosmic-Ray Observations | 52 | 20_Evaluation of Soil Moisture Products Using Cosmic-Ray Observations | 
| 21 | Denoising and Correcting Terrain Elevation Data Using Advanced Algorithms | 51 | 21_Denoising and Correcting Terrain Elevation Data Using Advanced Algorithms | 
| 22 | High-precision deformation monitoring using SAR technology in various applications | 49 | 22_High-precision deformation monitoring using SAR technology in various applications | 
| 23 | Evaluation of Multi-Source Precipitation Fusion Methods | 49 | 23_Evaluation of Multi-Source Precipitation Fusion Methods | 
| 24 | Subsidence Monitoring and Risk Assessment in Coastal Urban Areas | 48 | 24_Subsidence Monitoring and Risk Assessment in Coastal Urban Areas | 
| 25 | Estimating Pan-Arctic Sea Ice Changes Using Remote Sensing Techniques | 47 | 25_Estimating Pan-Arctic Sea Ice Changes Using Remote Sensing Techniques | 
| 26 | Mesoscale Eddy Dynamics in the Ocean | 44 | 26_Mesoscale Eddy Dynamics in the Ocean | 
| 27 | Bathymetry Mapping Using Satellite Remote Sensing Methods | 44 | 27_Bathymetry Mapping Using Satellite Remote Sensing Methods | 
| 28 | Atmospheric Aerosol Characteristics and Radiative Effects in Various Regions | 42 | 28_Atmospheric Aerosol Characteristics and Radiative Effects in Various Regions | 
| 29 | Remote Sensing-Based Soil Prediction Models for Soil Organic Carbon and Salinity Assessment | 42 | 29_Remote Sensing-Based Soil Prediction Models for Soil Organic Carbon and Salinity Assessment | 
| 30 | Spatial Prediction of Air Pollution Concentrations in China Using Multi-Source Remote Sensing Data | 42 | 30_Spatial Prediction of Air Pollution Concentrations in China Using Multi-Source Remote Sensing Data | 
| 31 | Remote Sensing of Ocean Waves and Wave-Related Phenomena | 41 | 31_Remote Sensing of Ocean Waves and Wave-Related Phenomena | 
| 32 | Land Surface Temperature Data Reconstruction Using Machine Learning Algorithms | 40 | 32_Land Surface Temperature Data Reconstruction Using Machine Learning Algorithms | 
| 33 | Multimodal Remote Sensing Image Registration Using Data-Driven and Knowledge-Driven Methods | 38 | 33_Multimodal Remote Sensing Image Registration Using Data-Driven and Knowledge-Driven Methods | 
| 34 | Advanced Localization and Mapping Techniques for Dynamic Robot Navigation | 38 | 34_Advanced Localization and Mapping Techniques for Dynamic Robot Navigation | 
| 35 | Coseismic Slip and Stress Analysis of Earthquake Doublets | 37 | 35_Coseismic Slip and Stress Analysis of Earthquake Doublets | 
| 36 | Seismic Data Denoising Using Transformer Networks | 37 | 36_Seismic Data Denoising Using Transformer Networks | 
| 37 | Landslide susceptibility modeling using artificial intelligence and machine learning algorithms | 36 | 37_Landslide susceptibility modeling using artificial intelligence and machine learning algorithms | 
| 38 | Advanced Remote Sensing Scene Image Classification Techniques | 36 | 38_Advanced Remote Sensing Scene Image Classification Techniques | 
| 39 | Analysis of Lunar Craters and Rover Exploration | 35 | 39_Analysis of Lunar Craters and Rover Exploration | 
| 40 | PolSAR Image Classification Using Advanced Deep Learning Techniques | 34 | 40_PolSAR Image Classification Using Advanced Deep Learning Techniques | 
| 41 | Object Detection in UAV Aerial Images | 34 | 41_Object Detection in UAV Aerial Images | 
| 42 | Advanced Semantic Segmentation Methods for Point Clouds | 33 | 42_Advanced Semantic Segmentation Methods for Point Clouds | 
| 43 | Developing High-Precision Ionospheric TEC Models using GNSS Data | 32 | 43_Developing High-Precision Ionospheric TEC Models using GNSS Data | 
| 44 | Cross-Calibration of Earth Observation Sensors for Radiometric Reflectance Calibration | 32 | 44_Cross-Calibration of Earth Observation Sensors for Radiometric Reflectance Calibration | 
| 45 | Spatiotemporal Analysis of Thunderstorms and Extreme Rainfall Events in China's Mountainous Regions | 31 | 45_Spatiotemporal Analysis of Thunderstorms and Extreme Rainfall Events in China's Mountainous Regions | 
| 46 | Evaluation of Spire GNSS Radio Occultation Data Quality | 31 | 46_Evaluation of Spire GNSS Radio Occultation Data Quality | 
| 47 | Hyperspectral Image Processing Techniques | 31 | 47_Hyperspectral Image Processing Techniques | 
| 48 | Advancements in Synthetic Aperture Radar Automatic Target Recognition | 31 | 48_Advancements in Synthetic Aperture Radar Automatic Target Recognition | 
| 49 | Infrared Small Target Detection Methods | 31 | 49_Infrared Small Target Detection Methods | 
| 50 | Monitoring coastal changes using remote sensing and deep learning techniques | 30 | 50_Monitoring coastal changes using remote sensing and deep learning techniques | 
| 51 | Glacier dynamics and mass balance in Asian mountain water towers | 30 | 51_Glacier dynamics and mass balance in Asian mountain water towers | 
| 52 | Understanding Snow Cover Dynamics on the Tibetan Plateau | 30 | 52_Understanding Snow Cover Dynamics on the Tibetan Plateau | 
| 53 | Understanding Drought Dynamics and Monitoring Using Multiple Indices | 29 | 53_Understanding Drought Dynamics and Monitoring Using Multiple Indices | 
| 54 | Evaluating Satellite Ocean Color Products Using VIIRS Rrs Data | 28 | 54_Evaluating Satellite Ocean Color Products Using VIIRS Rrs Data | 
| 55 | 3D Reconstruction and Neural Radiance Fields in Urban Environments | 27 | 55_3D Reconstruction and Neural Radiance Fields in Urban Environments | 
| 56 | Wetland Evolution and Dynamics in East Asia and China's Drylands | 26 | 56_Wetland Evolution and Dynamics in East Asia and China's Drylands | 
| 57 | Regional Evapotranspiration Estimation Using Remote Sensing and Reanalysis Products | 26 | 57_Regional Evapotranspiration Estimation Using Remote Sensing and Reanalysis Products | 
| 58 | Innovative Lithological and Mineral Exploration Using Remote Sensing and Machine Learning | 26 | 58_Innovative Lithological and Mineral Exploration Using Remote Sensing and Machine Learning | 
| 59 | Hyperspectral Anomaly Detection using Autoencoder Reconstruction and Attention Mechanisms | 25 | 59_Hyperspectral Anomaly Detection using Autoencoder Reconstruction and Attention Mechanisms | 
| 60 | Spectral Unmixing in Hyperspectral Image Analysis | 24 | 60_Spectral Unmixing in Hyperspectral Image Analysis | 
| 61 | Satellite-Based Assessment of Solar-Induced Chlorophyll Fluorescence and Vegetation Phenology | 23 | 61_Satellite-Based Assessment of Solar-Induced Chlorophyll Fluorescence and Vegetation Phenology | 
| 62 | Advanced Techniques in Remote Sensing Image Pansharpening | 23 | 62_Advanced Techniques in Remote Sensing Image Pansharpening | 
| 63 | Road Extraction Methods Using Deep Learning for Remote Sensing Images | 21 | 63_Road Extraction Methods Using Deep Learning for Remote Sensing Images | 
| 64 | 3D Building Reconstruction Methods | 21 | 64_3D Building Reconstruction Methods | 
| 65 | SAR image despeckling with deep learning methods | 20 | 65_SAR image despeckling with deep learning methods | 
| 66 | Innovative Deep Learning Networks for Landslide Recognition and Detection | 20 | 66_Innovative Deep Learning Networks for Landslide Recognition and Detection | 
| 67 | CO2 emissions monitoring using remote sensing and satellite data | 19 | 67_CO2 emissions monitoring using remote sensing and satellite data | 
| 68 | Semantic Water Body Extraction Using Hybrid CNN-Transformer Networks in Remote Sensing Images | 19 | 68_Semantic Water Body Extraction Using Hybrid CNN-Transformer Networks in Remote Sensing Images | 
| 69 | Advances in Hyperspectral Image Classification Using Spectral-Spatial Deep Learning Networks | 18 | 69_Advances in Hyperspectral Image Classification Using Spectral-Spatial Deep Learning Networks | 
| 70 | Hyperspectral Band Selection Techniques | 18 | 70_Hyperspectral Band Selection Techniques | 
| 71 | Spatial Distribution and Control Factors of Landslides in Various Regions | 18 | 71_Spatial Distribution and Control Factors of Landslides in Various Regions | 
| 72 | Optimization of LAI estimation using multi-angular reflectance for vegetation modeling | 18 | 72_Optimization of LAI estimation using multi-angular reflectance for vegetation modeling | 
| 73 | Automated Identification and Monitoring of Mesoscale Convective Systems and Squall Lines using Remote Sensing Data and Deep Learning Models | 17 | 73_Automated Identification and Monitoring of Mesoscale Convective Systems and Squall Lines using Remote Sensing Data and Deep Learning Models | 
| 74 | High-resolution gravity field modeling for geoid computation | 16 | 74_High-resolution gravity field modeling for geoid computation | 
| 75 | Monitoring Shrub Encroachment and Biodiversity in Grasslands Using Remote Sensing | 16 | 75_Monitoring Shrub Encroachment and Biodiversity in Grasslands Using Remote Sensing | 
| 76 | Monitoring Volcanic Thermal Activity | 16 | 76_Monitoring Volcanic Thermal Activity | 
| 77 | Satellite Imaging Mission Planning Optimization | 16 | 77_Satellite Imaging Mission Planning Optimization | 
| 78 | Underwater localization and navigation using lidar and sound speed profile (SSP) simulation | 16 | 78_Underwater localization and navigation using lidar and sound speed profile (SSP) simulation | 
| 79 | Remote Sensing of Plant Physiological Traits Using Spectral Models | 16 | 79_Remote Sensing of Plant Physiological Traits Using Spectral Models | 
| 80 | Early Detection of Forest Pests Using UAV-Based Multi-Sensor Data | 15 | 80_Early Detection of Forest Pests Using UAV-Based Multi-Sensor Data | 
| 81 | Monitoring Tropical Forest Logging Disturbances Using Sentinel-1 SAR Data | 15 | 81_Monitoring Tropical Forest Logging Disturbances Using Sentinel-1 SAR Data | 
| 82 | Application of Lidar Technology for Aerosol Property Retrieval | 15 | 82_Application of Lidar Technology for Aerosol Property Retrieval | 
| 83 | Advanced Methods for Spacecraft Attitude Control and Inertial Sensor Calibration | 14 | 83_Advanced Methods for Spacecraft Attitude Control and Inertial Sensor Calibration | 
| 84 | High-quality 3D rock mass modeling using photogrammetry and infrared thermography techniques | 14 | 84_High-quality 3D rock mass modeling using photogrammetry and infrared thermography techniques | 
| 85 | Forest Fire Smoke Detection using Lightweight UAV Models | 13 | 85_Forest Fire Smoke Detection using Lightweight UAV Models | 
| 86 | Assessment of Conservation Measures on Vegetation Cover Change and Soil Erosion Reduction | 12 | 86_Assessment of Conservation Measures on Vegetation Cover Change and Soil Erosion Reduction | 
| 87 | Ionospheric anomalies as earthquake precursors | 11 | 87_Ionospheric anomalies as earthquake precursors | 
| 88 | Impact of Spatially Heterogeneous Land Surface Temperatures on Urban Vegetation Phenology | 11 | 88_Impact of Spatially Heterogeneous Land Surface Temperatures on Urban Vegetation Phenology | 
| 89 | Advances in Precipitation Nowcasting Using Spatiotemporal Forecasting Models | 11 | 89_Advances in Precipitation Nowcasting Using Spatiotemporal Forecasting Models | 
| 90 | All-Day Cloud Detection Algorithms for Improved Weather Forecasting | 11 | 90_All-Day Cloud Detection Algorithms for Improved Weather Forecasting | 
| 91 | Advanced Object Tracking Techniques for Remote Sensing Videos | 11 | 91_Advanced Object Tracking Techniques for Remote Sensing Videos | 
| 92 | Understanding the Impact of Drought on Solar-Induced Chlorophyll Fluorescence and Vegetation Photosynthesis | 11 | 92_Understanding the Impact of Drought on Solar-Induced Chlorophyll Fluorescence and Vegetation Photosynthesis | 
| 93 | Integrating Urban Landscape Features for Traffic Safety and Vitality Enhancements | 10 | 93_Integrating Urban Landscape Features for Traffic Safety and Vitality Enhancements |
  
</details>

## Training hyperparameters

* calculate_probabilities: False
* language: english
* low_memory: False
* min_topic_size: 10
* n_gram_range: (1, 1)
* nr_topics: None
* seed_topic_list: None
* top_n_words: 10
* verbose: False
* zeroshot_min_similarity: 0.7
* zeroshot_topic_list: None

## Framework versions

* Numpy: 1.26.4
* HDBSCAN: 0.8.33
* UMAP: 0.5.5
* Pandas: 1.5.3
* Scikit-Learn: 1.4.1.post1
* Sentence-transformers: 2.4.0
* Transformers: 4.38.1
* Numba: 0.59.0
* Plotly: 5.19.0
* Python: 3.11.3