--- 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
Click here for an overview of all topics. | 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 |
## 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