Multi-temporal remote sensing channel mapping

Local Knowledge Graph (23 entities)

Loading graph...

Knowledge graph centered on Multi-temporal remote sensing channel mapping with 23 nodes and 57 connections. Top connected: Bacteria, hydraulic connectivity, NDVI, From Grain to Floodplain: Evaluating heterogeneity, Piezometer groundwater monitoring.

Description

Integration of historical aerial photography, LiDAR data, and multispectral imagery to track channel migration and identify abandoned floodplain features using automated classification in eCognition software.

Typical Equipment

WorldView-2 satellite imagery
eCognition software by Trimble
archival aerial photographs

Output Measurements

channel migration rates
abandoned channel locations
NDVI time series
elevation differences

Papers Using This Protocol (1)

article

From Grain to Floodplain: Evaluating heterogeneity of floodplain hydrostatigraphy using sedimentology, geophysics, and remote sensing.

2019Earth Surface Processes and Landformsusing

Species Studied With This Protocol

Bacteria

1 paper