Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
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 -