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Displaying 331 - 335 of 661Sensitivity analysis of X-band SAR to wheat and barley leaf area index in the Merguellil Basin
Remote sensing of vegetation by using active microwave sensors is important for the management of land and water resources. Microwave radiation at X-band penetrates only the upper part of the canopy; thus, radar backscattering comes mainly from the top vegetation layer, making the scattering from soil almost negligible. Fourteen in situ measurement campaigns were carried out during which sixteen SAR images of COSMO-SkyMed and TerraSAR-X were acquired on the test site of Merguellil Basin, in the centre of Tunisia, from March to May 2012.
Three cooperative pathways to solving a collective weed management problem
The spread of pest plants is a trans-boundary problem that causes losses to biodiversity and disrupts ecosystems. Much social research into, and policy development for, weeds has conceptualised their control as a problem facing individual landowners, rather than as a collective action problem. In the case of serrated tussock (Nassella trichotoma), a highly invasive, noxious weed that is widespread in southeastern Australia, landowners and government staff are acutely aware that this weed is a communal problem.
Ground reference data error and the mis-estimation of the area of land cover change as a function of its abundance
Area estimation is a common application of remote sensing especially in relation to studies of land cover change. The use of an imperfect, nongold-standard, reference is shown to be a source of substantial error in estimates of change area. The relationships between the accuracy of land cover classifications, both real and perceived, together with area of change are explored over the full range of change abundance. The magnitude of mis-estimation varies with the abundance of change and the quality of the data sets used but may be large.
importance of accurate visibility parameterization during atmospheric correction: impact on boreal forest classification
Observation of the Earth's surface from spaceborne platforms is complicated by the various layers of the Earth's atmosphere that reflect, scatter, and attenuate electromagnetic radiation passing through them, thus influencing (upward or downward) the signal strength recorded at the sensor relative to the true quantity of radiance reflected from the observed surfaces. The magnitude and spatial distribution of atmospheric effects is non-stationary and will vary due to numerous factors.
MNDISI: a multi-source composition index for impervious surface area estimation at the individual city scale
Impervious surface is a key indicator for monitoring urban land cover changes and human-environment interaction. Although the normalized difference impervious surface index (NDISI) has shown the potential to extract impervious surface areas (ISA) from multi-spectral imagery, it may lack robustness due to the spectral heterogeneity within urban impervious materials and confusion between other land covers. In this letter, a multi-source composition index is proposed to overcome the limitations of the original method.