作者: P. J. CURRAN , H. D. WILLIAMSON
DOI: 10.1080/01431168508948311
关键词: Remote sensing (archaeology) 、 Terrain 、 Data processing 、 Sampling design 、 Ground truth 、 Spatial variability 、 Remote sensing 、 Computer science 、 Extrapolation 、 Sampling (statistics)
摘要: Abstract A popular application of remotely sensed data is the estimation an environmental variable at a point, with its extrapolation over large area. For such work reliable ground are required. This paper divided into two parts; first part review which looks considerations that necessary for collection and finds spatial variability terrain has profound effect on sample design. The second illustrates these by means case study in airborne used to map green-leaf-area index grassland. It concluded even when sizes were employed error was greater than data.