Conveners
Forestry III: Change and Disturbances
- Shaun Quegan (University of Sheffield)
- Maurizio Santoro (GAMMA Remote Sensing)
Low frequency (P- or L-band) Synthetic Aperture Radar (SAR) pulses can penetrate through even dense vegetation layers until the ground, and thus interact with vegetation elements (depending on frequency, polarization and dielectric properties) located at different heights. For this, a set of SAR images acquired under slightly different angular directions along displaced tracks or orbits is...
Understanding the changes taking place in the forest structure is key for the correct assessment of forest biomass and productivity. By exploiting polarimetric SAR acquisitions [1], different techniques have been proposed in the past to address changes [2, 3]. These techniques, however, are limited to the detection of changes in terms of radiometric information, i.e. amount of change. In [4],...
The world’s forests have undergone substantial changes in the last decades. In the tropics, 17% of moist forests disappeared between 1990 and 2019, through deforestation and forest degradation [7]. These changes contribute greatly to biodiversity loss through habitat destruction, soil erosion, terrestrial water cycle disturbances, and anthropogenic CO2 emissions.
Continuous monitoring of...
Different disturbance events lead to a varied response of terrestrial biomass, which regulates the terrestrial ecosystems' short- and long-term carbon cycle dynamics. Quantifying the disturbance regimes is essential to understanding and reducing the uncertainty of vegetation mortality and its effects on biomass. Based on the synthetic exercise, we revealed a strong link between three...
Detection of land surface phenology at the landscape scale enables to investigate the spatio-temporal patterns of plant phenology and their relationship with environmental variability and climatic drivers. In fact, vegetation phenology is highly sensitive to climate conditions and is a climate change fingerprint.
Along with the availability of high resolution satellite time series and proven...
