TERN, Australia's land observatory: addressing the global challenge of forecasting ecosystem responses to climate variability and change
The global challenge of understanding and forecasting ecosystem responses to climate
extremes and climate change is addressed in this review of research enabled through …
extremes and climate change is addressed in this review of research enabled through …
[HTML][HTML] Virtual constellations for global terrestrial monitoring
Free and open access to satellite imagery and value-added data products have
revolutionized the role of remote sensing in Earth system science. Nonetheless, rapid …
revolutionized the role of remote sensing in Earth system science. Nonetheless, rapid …
Fusing Landsat and SAR time series to detect deforestation in the tropics
Fusion of optical and SAR time series imagery has the potential to improve forest monitoring
in tropical regions, where cloud cover limits optical satellite time series observations. We …
in tropical regions, where cloud cover limits optical satellite time series observations. We …
A review of spaceborne synthetic aperture radar for invasive alien plant research
G Shennan, R Crabbe - Remote Sensing Applications: Society and …, 2024 - Elsevier
Recently, a strong international focus has been placed on invasive species and their
ecological, economic, and social impacts. Satellite remote sensing (SRS) for the detection of …
ecological, economic, and social impacts. Satellite remote sensing (SRS) for the detection of …
[HTML][HTML] How textural features can improve SAR-based tropical forest disturbance map**
Spatially and timely accurate information about tropical forest disturbances is crucial for
tracking critical forest changes, supporting forest management, and enabling law …
tracking critical forest changes, supporting forest management, and enabling law …
SAR and optical remote sensing: Assessment of complementarity and interoperability in the context of a large-scale operational forest monitoring system
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 …
Comparison of machine learning methods applied to SAR images for forest classification in mediterranean areas
In this paper, multifrequency synthetic aperture radar (SAR) images from ALOS/PALSAR,
ENVISAT/ASAR and Cosmo-SkyMed sensors were studied for forest classification in a test …
ENVISAT/ASAR and Cosmo-SkyMed sensors were studied for forest classification in a test …
Post-Logging Canopy Gap Dynamics and Forest Regeneration Assessed Using Airborne LiDAR Time Series in the Brazilian Amazon with Attribution to Gap Types …
Gaps are openings within tropical forest canopies created by natural or anthropogenic
disturbances. Important aspects of gap dynamics that are not well understood include how …
disturbances. Important aspects of gap dynamics that are not well understood include how …
Assessing accuracy of land cover change maps derived from automated digital processing and visual interpretation in tropical forests in Indonesia
This study assessed the accuracy of land cover change (2000–2018) maps compiled from
Landsat images with either automated digital processing or with visual interpretation for a …
Landsat images with either automated digital processing or with visual interpretation for a …
A structural classification of Australian vegetation using ICESat/GLAS, ALOS PALSAR, and Landsat sensor data
Australia has historically used structural descriptors of height and cover to characterize,
differentiate, and map the distribution of woody vegetation across the continent but no …
differentiate, and map the distribution of woody vegetation across the continent but no …