Sentence examples for detection of land from inspiring English sources
Detection of land cover changes and wildlife habitat analysis are examples of problems with these connective properties.
"Early detection of land subsidence hot spots, for example, can help forestall long-term damage to water supply and flood control infrastructure," said Jeanine Jones, a manager at the California Department of Water Resources.
The goal is development of a cloud, cloud shadow, and snow detection algorithm that results in a multitemporal stack of images that is free of "noise" factors and thus suitable for detection of land cover change.
Terrain and landscape complexities can limit the accurate discrimination of land use categories with similar spectral signatures, as well as the accurate detection of land use change in temporal analyses of landscape dynamics.
We provide detailed examples for two protected areas, demonstrating the use of EO data for detection of land cover/habitat change, coupled with expert interpretation to relate such change to specific anthropogenic pressures.
Our results illustrate that the use of 13C-labeled materials in field studies coupled with13C-PLFA profiling is a powerful tool for determining microbial dynamics during decomposition – enabling statistically significant detection of land management treatment effects on C acquisition by microbial functional groups.
Spatial variation in SOC densities within each treatment group precluded detection of land-use effects on SOC densities (expected to be ≤25 Mg C ha−1) with this research design.
Dr Beth Cole, researcher at the University of Leicester, said, "The production of the map and the detection of land-cover change between 2006 and 2012 shows a continuing trend in the UK landscape of rotation of clear-cutting and regrowth associated with forest management and a growth in artificial surfaces associated with urban expansion".
Landsat data has allowed the detection of land-cover conversions between consecutive dates that have a more permanent character and are independent of climate-induced fluctuations in surface attributes (Serra et al. 2003; Zhong and Wang 2006; Zhou et al. 2008; Berberoglu and Akin 2009; Svoray et al. 2013).
Detection of agricultural lands was executed using intra- and inter-annual Landsat images, with an overall accuracy of 86%.
