TY - JOUR

T1 - Optimal ground-based sampling for remote sensing investigations

T2 - estimating the regional mean

AU - Atkinson, Peter M.

PY - 1991

Y1 - 1991

N2 - Remote sensing investigations often involve sampling on the ground to estimate the mean of some property within ground resolution elements. Investigators have used classical statistics to determine the size of sample required to produce a desired precision. However, classical statistics is based on assumptions that do not hold when the target population is spatially dependent. Remotely sensed data and ground cover are usually spatially correlated, and in these circumstances the size of sample required will be less when sampling is done on a regular grid. This is demonstrated for several variables measured at the ground.

AB - Remote sensing investigations often involve sampling on the ground to estimate the mean of some property within ground resolution elements. Investigators have used classical statistics to determine the size of sample required to produce a desired precision. However, classical statistics is based on assumptions that do not hold when the target population is spatially dependent. Remotely sensed data and ground cover are usually spatially correlated, and in these circumstances the size of sample required will be less when sampling is done on a regular grid. This is demonstrated for several variables measured at the ground.

U2 - 10.1080/01431169108929672

DO - 10.1080/01431169108929672

M3 - Journal article

VL - 12

SP - 559

EP - 567

JO - International Journal of Remote Sensing

JF - International Journal of Remote Sensing

SN - 0143-1161

IS - 3

ER -