Paper Info
Title
Near real-time tropical forest disturbance monitoring using Landsat time series and local expert monitoring data
Abstract
In this paper, we present an integrated near real-time forest disturbance monitoring system which utilizes temporally dense Landsat time series in combination with a continuous local expert based system in a tropical forest ecosystem in southern Ethiopia. Landsat time series were analyzed using the Break detection For Additive Season and Trend Monitor (BFAST Monitor) method and in situ local expert data was in turn facilitated by the use of mobile devices programmed to be able to classify land use changes. BFAST Monitor was found to be able to describe forest change dynamics using irregular Landsat time series data with frequent cloud and SLC-off gaps. Disturbance data collected by local experts enhanced the BFAST Monitor results by providing contextual information such as the specific area and local drivers of disturbance events.
Year
DOI
Venue
2013
10.1109/Multi-Temp.2013.6866022
MultiTemp
Keywords
Field
DocType
geophysical techniques,land use,remote sensing,vegetation,bfast monitor method,break detection for additive season and trend monitor,cloud-slc-off gaps,disturbance data,irregular landsat time series data,land use changes,local expert based system,local expert data,local expert monitoring data,near real-time tropical forest disturbance monitoring,southern ethiopia,temporally dense landsat time series,tropical forest ecosystem,real time systems,time series analysis,degradation,satellites,earth
Time series,Contextual information,Monitoring system,Remote sensing,Mobile device,Environmental science,Tropical forest,Land use,Cloud computing,Ecosystem
Conference
Citations 
PageRank 
References 
1
0.42
2
Authors
6
Name
Order
Citations
PageRank
Ben DeVries192.03
arun pratihast261.11
Jan Verbesselt39516.93
Lammert Kooistra421232.25
Sytze de Bruin58112.35
herold martin610126.05