Sentence examples for disturbance dataset from inspiring English sources

We created a binary disturbance dataset by defining any 30-meter pixel classified as disturbed across the four independent datasets (landcover, mined, impervious, and oil & gas) as disturbed, otherwise undisturbed.

Recent work modelled carbon stocks and fluxes using spatially-explicit forest inventory and remotely-sensed disturbance datasets with a version of CBM-CFS3 that processes and outputs spatial layers [21, 22].

We performed an independent assessment of the remote sensing disturbance datasets using ground-plot data obtained from the Mexican National Forest Inventory NFII).

The disturbance datasets retrieved included annual, spatially-explicit, natural and anthropogenic disturbances from 2005 to 2010: fires, hurricanes, and forest management areas.

We examined how these metrics can improve our understanding of population-level responses to forest disturbance, using datasets for two exemplar species of terrestrial salamanders resident to the Pacific Northwestern USA.

Visual comparison revealed a similar pattern of disturbance in both datasets, however, largely due to purer pixels, the level of detail was greater in the Sentinel-2.

The obtained acoustic velocities during both earthquakes rule out the possibility of a Rayleigh wave as one of the generative mechanisms for the observed post-seismic TEC disturbances using the present dataset.

Further research would be required to increase the accuracy of land-cover changes characterized by disturbance type using additional datasets.

The true extent of boreal wilderness likely falls within this range, as existing infrastructure datasets may omit disturbance and the protected area network in far northern areas proved inadequate to train effective wilderness classifications.

We evaluate the disturbance maps using 2 reference datasets: 1) a design-based approach incorporating visual analysis of the LTSS in tandem with high resolution imagery and 2) the USDA FIA field observations.

The greatest improvement of CRR emerges on JLUBR-IRIS among three iris datasets, which implies that the iris images from this dataset contain more challenging disturbances including eyelids and eyelashes.