Riparian characterization from remote sensing in a multiple scale perspectives. A few examples
Riparian characterization from remote sensing in a multiple scale perspectives. A few examples
Riparian characterization from remote sensing in a multiple scale perspectives. A few examples
Can SWOT Improve the Reconstruction of Sea Level Anomaly Fields? Insights for Data-driven Approaches in the Western Medi...
Current generation satellite altimetry missions have played a fundamental role in improving our understanding of sea surface dynamics, despite only being able to provide measurements along the satellite track. In this respect, the future SWOT altimetry mission will be the first mission to produce complete two-dimensional wide-swath satellite observ...
Effect of wind stress forcing on ocean dynamics at air-sea interface
We evidence and study the differences in turbulence statistics in ocean dynamics carried by wind forcing at the air-sea interface. Surface currents at the air-sea interaction are of crucial importance because they transport heat from low to high latitudes. At first order, oceanic currents are generated by the balance of the Coriolis and pressure gr...
Geo-prospective simulation of land cover and urban sprawl: the case of Tangier city(Morocco) on 2020
Urban growth thus remains one of the main concerns of geography. This paper, with focus on the development of Tangier (Morocco) by 2020, asks two major questions. First, does satellite data address the question of how to understand the dynamics of change taking into account favorable factors as well as constraints that affect the status of land cov...
Geo-prospective simulation of land cover and urban sprawl: the case of Tangier city(Morocco) on 2020
Urban growth thus remains one of the main concerns of geography. This paper, with focus on the development of Tangier (Morocco) by 2020, asks two major questions. First, does satellite data address the question of how to understand the dynamics of change taking into account favorable factors as well as constraints that affect the status of land cov...
LiDAR derived forest structure data improves predictions of canopy N and P concentrations from imaging spectroscopy
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Imaging spectroscopy is a powerful tool for mapping chemical leaf traits at the canopy level. However, covariance with structural canopy properties is hampering the ability to predict leaf biochemical traits in structurally heterogeneous forests. Here, we used imaging spectroscopy data to map canopy level leaf nitrogen (N) and phosphorus concentrat...
LiDAR derived forest structure data improves predictions of canopy N and P concentrations from imaging spectroscopy
...
Imaging spectroscopy is a powerful tool for mapping chemical leaf traits at the canopy level. However, covariance with structural canopy properties is hampering the ability to predict leaf biochemical traits in structurally heterogeneous forests. Here, we used imaging spectroscopy data to map canopy level leaf nitrogen (N) and phosphorus concentrat...
LiDAR derived forest structure data improves predictions of canopy N and P concentrations from imaging spectroscopy
...
Imaging spectroscopy is a powerful tool for mapping chemical leaf traits at the canopy level. However, covariance with structural canopy properties is hampering the ability to predict leaf biochemical traits in structurally heterogeneous forests. Here, we used imaging spectroscopy data to map canopy level leaf nitrogen (N) and phosphorus concentrat...
