Paper Info
Title
Interoperability of radar and optical data for forest information assessment.
Abstract
The contribution of the world's forested ecosystems to the global carbon budget is well recognized. Increasingly however, we see the ongoing depletion of forest stocks, biomass burning and land cover change; key contributors to greenhouse gas emissions and ultimately climate change. Through international agreements such as UNFCCC REDD, individual country's are charged with a greater responsibility to account for carbon gains and losses, a move which may spur improved management and more sustainable use of forest and natural resources. With such variability in forest and land cover dynamics, individual country's Measurement, Reporting and Verification (MRV) systems must adapt to detect extensive clearing or more subtle change at the landscape level. The acquisition of both optical and radar remotely sensed data at moderate spatial resolution has, and will continue to support regional assessment of forest and land cover change. In this paper we investigate the interoperability of optical and radar data acquired over Tasmania, Australia, for forest information monitoring. The fundamental requirement of an initial baseline from which subsequent change can be measured is outlined. Classification methodologies and forest cover estimates over the timeframe of image acquisition are presented. The independent and combined use of optical and radar data for forest extent mapping, with the emphasis on processing time-series data, is discussed. The methodologies presented in this paper are robust, consistent over a time-series and issues surrounding interoperability are globally applicable.
Year
DOI
Venue
2011
10.1109/IGARSS.2011.6049327
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
data acquisition,environmental degradation,environmental monitoring (geophysics),forestry,geophysical image processing,image classification,remote sensing by radar,time series,vegetation mapping,Australia,MRV system,Tasmania,UNFCCC REDD,biomass burning,carbon gains,carbon losses,classification methodology,climate change,data acquisition,data interoperability,forest cover estimate,forest extent mapping,forest information assessment,forest information monitoring,forest stock depletion,forested ecosystem,global carbon budget,greenhouse gas emission,image acquisition,land cover assessment,land cover change,land cover dynamics,natural resources,optical data,radar data,regional forest assessment,time series data processing,Forest monitoring,carbon,interoperability,optical,synthetic aperture radar,time-series
Radar,Climate change,Interoperability,Computer science,Remote sensing,Environmental degradation,Natural resource,Land cover,Sustainability,Greenhouse gas
Conference
ISSN
ISBN
Citations 
2153-6996
978-1-4577-1003-2
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Mitchell, A.L.100.34
Anthony K. Milne2417.49
Tapley, I.310.96
Lowell, K.401.01