Sentence examples for by remote sensing technologies from inspiring English sources

Seabird studies of the influence of age on foraging performance are challenging because: 1) long-term demographic datasets are scarce [16] and, as in all age-related studies, it is difficult to have a various sample size in age up to old age and 2) at-sea behaviour can only be recorded by remote sensing technologies compared to studies on age-related breeding performance on land.

Despite growing concerns, challenges remain in estimating ET by remote sensing technology for regional applications, due to the difficulty in determination of aerodynamic, canopy and soil resistance.

Thus, our indicator accurately expresses the relationship between stakeholders' perceptions of ESS provided by green spaces and the physical data (i.e., green space structure) produced by remote sensing technology.

In this paper, we compared the landscape pattern between three hydrologic years with early dry season (EY) and three normal hydrologic years (NY) of each lake by remote sensing technology, to reveal the effect of early dry season on landscape pattern.

Further, these features can be assessed automatically by linking LoCoH constructions with spectral images provided by new remote sensing technologies that have resolutions matching or exceeding those of the data (e.g. 1 10 m resolution SPOT imagery, Quickbird and Superbird images, IKONOS satellite imagery [22]).

Conventional approaches to national forest inventory are increasingly supplemented by active remote sensing technologies that provide the means to map forest structure over large spatial scales.

In the past few years, several international collaborative efforts have been initiated to develop and test temporal risk maps based on rainfall anomalies by using remote sensing technologies, with special applicability in semi-arid areas (7 ).

Additional information about land and trees within forest estates was obtained by companies using remote sensing technologies.

Within the ARGOS project we are currently developing a system that will be able to deliver area-wide traffic data in near real-time by using airborne remote sensing technologies.

Data capture using aerial laser scanning (ALS), also known as LiDAR, has not been implemented by as many companies as has photogrammetric remote sensing technologies.

Furthermore, estimates made by ground-based observers can differ greatly for those made using satellite remote sensing technologies (Oppenheimer 1998; Tupper and Wunderman 2009).