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06-Image Manipulation-Classification

Chapter 6 Image Manipulation-Classification/Clustering

Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications 2024
https://link.springer.com/book/10.1007/978-3-031-26588-4

KNIME workflow by

Lingbo Liu, Harvard Center for Geographic Analysis

GEE Setting
Google Authenticator
Google Earth Engine Connector
Table Creator
LANDSAT/LC08/C02/T1_L2
Image Collection Reader
Image Collection Spatial Filter
GeoTable to Feature Collection
Image Class Predictor
Fig. 6.13 Random forest classified image
GEE Image View
K-Means Clusterer Learner
GEE CART Learner
Apply Clusterer
Label Points
CSV Reader
Image Cluster Sampling
Table Creator
Fig. 6.15 K-means classification
GEE Image View
Feature Collection Partitioner
Feature Collection Predictor
Fig. 6.2 Landsat image
GEE Image View
GEE Classifier Scorer
2019-01-012020-01-01
Image Collection General Filter
Column Filter
Image Collection Aggregator
GeoTable to Feature Collection
GeoJSON to Geometry
Fig. 6.11 CART classification
GEE Image View
Image Class Predictor
Reference Feature Collection Sampler
GEE Random Forest Learner
Table Row to Variable

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: lil928
Created at: 2025-12-05
On NodePit since: 2025-12-14
Last update: 2025-12-15
Created with KNIME version: v5.9.0

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