3D Spatial Data Processing

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1 to 10 of 108 Results

Codes.zip May 13, 2024 - An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code] ZIP Archive - 12.9 KB - MD5: cb55379c51c6a3587ab720087b9972ef Code
Inputs.zip May 13, 2024 - An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code] Shapefile as ZIP Archive - 7.1 KB - MD5: 2d6e7c4f81930ea039e86b5d39761c0b Data
MetaData_iterative_random_forest.txt May 13, 2024 - An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code] Plain Text - 5.9 KB - MD5: 03e491ffe111e2ad1f3e2bb834e2f0af Codes metadata
Outputs.zip May 13, 2024 - An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code] Shapefile as ZIP Archive - 876.5 KB - MD5: f492ebb9c945d58254d338d7d6118236 Data
Cross_Training_Integration.zip Feb 19, 2024 - Integrating VGI contributions for gully mapping using Kalman filter and machine learning ZIP Archive - 1.9 MB - MD5: 4833cdc615e69607bd51b49cfff7ea9d
Kalman_filter_integration.py Feb 19, 2024 - Integrating VGI contributions for gully mapping using Kalman filter and machine learning Python Source Code - 23.7 KB - MD5: 9b1919e5bf0dcdcf8e3d68eec4a25fdd Code
MetaData_Integrating_lines_kalman.txt Feb 19, 2024 - Integrating VGI contributions for gully mapping using Kalman filter and machine learning Plain Text - 2.7 KB - MD5: 3592aa831001b5a26154a7ba6c3109fd
reference_left.tab Feb 19, 2024 - Integrating VGI contributions for gully mapping using Kalman filter and machine learning Tabular Data - 31.6 KB - 8 Variables, 463 Observations - UNF:6:dbfZe/C8CmWXcBEZJg2RPw==
Reporting_Lines_combination_left_UAV.txt Feb 19, 2024 - Integrating VGI contributions for gully mapping using Kalman filter and machine learning Plain Text - 7.0 KB - MD5: 9b20b45da9830b79f92dc506546496f1
Self_Training_Integration.zip Feb 19, 2024 - Integrating VGI contributions for gully mapping using Kalman filter and machine learning ZIP Archive - 3.9 MB - MD5: 96697ceeebf0cca5a98e4c07ffbdd54a

Codes.zip

May 13, 2024 - An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code]

ZIP Archive - 12.9 KB -

Code

Inputs.zip

May 13, 2024 - An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code]

Shapefile as ZIP Archive - 7.1 KB -

Data

MetaData_iterative_random_forest.txt

May 13, 2024 - An Automatic Iterative Random Forest approach to derive gully activity maps in large areas with training data scarcity [Data and Source Code]

Plain Text - 5.9 KB -

Codes metadata