SAR and optical remote sensing: Assessment of complementarity and interoperability in the context of a large-scale operational forest monitoring system
EA Lehmann, P Caccetta, K Lowell, A Mitchell… - Remote Sensing of …, 2015 - Elsevier
In light of the growing volumes of remote sensing data generated by multiple space-borne
platforms, integrated multi-sensor frameworks will continue to generate a significant interest …
platforms, integrated multi-sensor frameworks will continue to generate a significant interest …
Importance of bistatic SAR features from TanDEM-X for forest mapping and monitoring
M Schlund, F von Poncet, DH Hoekman, S Kuntz… - Remote Sensing of …, 2014 - Elsevier
Deforestation and forest degradation are one of the important sources for human induced
carbon dioxide emissions and their rates are highest in tropical forests. For man-kind, it is of …
carbon dioxide emissions and their rates are highest in tropical forests. For man-kind, it is of …
Impact of G4U and 7-component target decomposition on PolSAR image semantic segmentation
Abstract Classification of Polarimetric Synthetic Aperture Radar (PolSAR) images is an
incredibly challenging task. In early days researchers have applied parametric classifiers …
incredibly challenging task. In early days researchers have applied parametric classifiers …
C-and L-band SAR interoperability: Filling the gaps in continuous forest cover mapping in Tasmania
AL Mitchell, I Tapley, AK Milne, ML Williams… - Remote sensing of …, 2014 - Elsevier
This paper addresses the shortfall in L-band SAR data availability for the purpose of
extracting spatially explicit information on forest cover, and the capacity to fill the gap using …
extracting spatially explicit information on forest cover, and the capacity to fill the gap using …
Machine learning for object-based crop classification using multi-temporal Landsat-8 imagery
JK Gilbertson - 2017 - scholar.sun.ac.za
Up-to-date and accurate crop maps are needed to update agricultural statistics, aid in yield
forecasting, and are often used in environmental modelling. In situ methods are associated …
forecasting, and are often used in environmental modelling. In situ methods are associated …
[PDF][PDF] Good practice guidelines for calibration and validation of SAR data and derived biophysical products
A Mitchell, M Thankappan - AusCover Good Practice Guidelines: A …, 2015 - researchgate.net
Drawing on the unique strengths of Synthetic Aperture Radar (SAR), data have been used
extensively to map forest extent and land cover, eg, Hoekman et al.(2010), Walker et …
extensively to map forest extent and land cover, eg, Hoekman et al.(2010), Walker et …
Utilization of bistatic TanDEM-X data to derive land cover information
M Schlund - 2015 - db-thueringen.de
Forests have significance as carbon sink in climate change. Therefore, it is of high
importance to track land use changes as well as to estimate the state as carbon sink. This is …
importance to track land use changes as well as to estimate the state as carbon sink. This is …