13 records found
Inference of deep neural network models (ONNX) for segmentation, detection and regression
2024-12-10T10:38:22.549072+00:00
Downscale Anything with Random Forest is a QGIS Processing plugin that allows flexible dasymetric downscaling of coarse rasters to user-defined …
2025-08-20T16:38:43.012008+00:00
Advanced polynomial trend surface analysis with comprehensive diagnostics and visualization tools
2025-10-24T14:56:53.145545+00:00
Integrated Nighttime Light Modeling is a QGIS plugin designed to support advanced spatial analysis and forecasting using VIIRS Nighttime Lights …
2025-06-29T16:45:42.989363+00:00
Machine Learning for Image Classification/Regression in QGIS
2026-08-26T16:25:05.487321+00:00
A QGIS plugin for Multiscale Geographically Weighted Regression (MGWR)
2024-06-20T05:44:42.004350+00:00
Spectral machine learning: build, validate and apply regression models for spectroscopy and multispectral / hyperspectral imagery, integrated with QGIS raster …
2026-08-11T09:48:39.278722+00:00
PlanX spatial analysis lab for QGIS planning workflows: data preparation, urban pattern scanning, hot spots, centers, exploratory models and scenarios, …
2026-09-06T14:14:48.882928+00:00
Species distribution modeling support for the QGIS Processing toolbox
2014-11-06T13:47:14.483571+00:00
Plots two raster datasets against each other and fits a linear regression.
2026-07-20T16:30:35.553610+00:00
| Name | Author | Latest Version | Created On | Stars (votes) | ||||
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CPR | 3,573 | Vielca Ingenieros | 2024-09-03T14:30:02.421567+00:00 | 2023-03-24T07:31:28.512507+00:00 |
(2)
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0.2 | — |
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Deepness: Deep Neural Remote Sensing | 87,160 | PUT Vision | 2024-12-10T10:38:22.549072+00:00 | 2022-10-20T11:38:13.982136+00:00 |
(202)
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0.6.5 | 0.3.0 |
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Downscale Anything with Random Forest | 1,359 | Firman Afrianto | 2025-08-20T16:38:43.012008+00:00 | 2025-08-20T16:38:40.979615+00:00 |
(7)
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1.0.0 | — |
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Enhanced Trend Surface Analysis | 984 | Sidney Schaberle Goveia | 2025-10-24T14:56:53.145545+00:00 | 2025-10-24T14:56:50.043387+00:00 |
(3)
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1.0.0 | — |
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EnMAP-Box 3 | 128,580 | Andreas Janz, Benjamin Jakimow, Sebastian van der Linden, Fabian Thiel, Henrike Dierkes | 2026-09-02T09:16:39.949815+00:00 | 2019-03-07T11:24:07.383848+00:00 |
(145)
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3.17.9 | 3.17.0 |
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Integrated Nighttime Light Modeling | 1,441 | Firman Afrianto | 2025-06-29T16:45:42.989363+00:00 | 2025-06-29T16:45:40.171327+00:00 |
(4)
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1.0.0 | — |
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Machine Learning for QGIS | 5,445 | Rosa Aguilar | 2026-08-26T16:25:05.487321+00:00 | 2025-04-13T19:55:33.491685+00:00 |
(8)
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0.4.0 | — |
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mgwr_plugin | 2,607 | Huaying Gu & Yi Wu | 2024-06-20T05:44:42.004350+00:00 | 2024-06-20T05:44:40.310034+00:00 |
(6)
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— | 1.1 |
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PARACUDA-NG | 182 | Sharad Kumar Gupta | 2026-08-11T09:48:39.278722+00:00 | 2026-08-11T00:57:57.632604+00:00 |
(2)
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1.0.2 | — |
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PlanX GeoStats Lab | 4,216 | Yusuf Eminoglu | 2026-09-06T14:14:48.882928+00:00 | 2026-05-20T14:16:37.654684+00:00 |
(84)
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3.8.0 | — |
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QSDM | 10,133 | Martin Jung | 2014-11-06T13:47:14.483571+00:00 | 2014-05-11T17:53:18.336587+00:00 |
(55)
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— | 0.2 |
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Raster Scatter | 222 | Sim Reaney | 2026-07-20T16:30:35.553610+00:00 | 2026-07-10T12:57:49.906857+00:00 |
(0)
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1.0.2 | — |
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SZ | 3,728 | Giacomo Titti and Luigi Lombardo | 2025-08-07T14:04:22.305777+00:00 | 2024-12-18T10:07:34.288165+00:00 |
(4)
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2.0.2 | — |
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