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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.txt
Dec 2, 2021 - Correspondence-driven plane-based M3C2 for quantification of 3D topographic change with lower uncertainty [Data and Source Code]
Plain Text - 5.7 KB - MD5: b5f2e98361d4aa80cbe3e675ebf8057c
Documentation
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
MetaData_inverse_morphological_reconstuction.txt
Dec 13, 2023 - Gully detection with Inverse Morphological Reconstruction Algorithm [data]
Plain Text - 3.0 KB - MD5: a7e86100e18679c0ae4becc4923bdd1e
Code Metadata
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
MetaData_multiprofile_gully.txt
Jul 11, 2023 - Multi Profile Curvature Analysis (MPCA) algorithm for gully detection using TanDEM X Digital elevation model.
Plain Text - 3.5 KB - MD5: c2bc849a1ee4489aadfe566a083c785b
Documentation
Metadata_TSF.txt
Jul 24, 2023 - Classification of Types of Changes in Gully Environments Using Time Series Forest Algorithm [data]
Plain Text - 4.1 KB - MD5: 32877e41621e27231bae303eda9f5d19
Documentation
Metrics.zip
Aug 18, 2021 - Opaque Voxel-based Tree Models for Virtual Laser Scanning in Forestry Applications [Research Data and Source Code]
ZIP Archive - 62.8 KB - MD5: a184cd810122891ee3235358053fe213
MPCA_Plot3.txt
Jul 11, 2023 - Multi Profile Curvature Analysis (MPCA) algorithm for gully detection using TanDEM X Digital elevation model.
Plain Text - 5.5 MB - MD5: b87021bc1323a973a67301a4ee4c4d35
Data
nkd_fpl_paddy_LT.json
Jul 5, 2022 - 3D Point Cloud from Nakadake Sanroku Kiln Site Center, Japan: Sample Data for the Application of Adaptive Filtering with the AFwizard
JSON - 312 B - MD5: a5835047e1a69987e02599d7fc1821c6
working_data
Filter pipeline for segments of class "paddy field".
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