Representation of vegetation by continental data sets derived from NOAA-AVHRR data
| العنوان: | Representation of vegetation by continental data sets derived from NOAA-AVHRR data |
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| المؤلفون: | V. L. Kalb, Christopher O. Justice, John R. Townshend |
| المصدر: | International Journal of Remote Sensing. 12:999-1021 |
| بيانات النشر: | Informa UK Limited, 1991. |
| سنة النشر: | 1991 |
| مصطلحات موضوعية: | Advanced very-high-resolution radiometer, Climatology, Variance (land use), General Earth and Planetary Sciences, Environmental science, Spatial variability, Vegetation, Representation (mathematics), Scale (map), Image resolution, Normalized Difference Vegetation Index, Remote sensing |
| الوصف: | Images of the normalized difference vegetation index (NDVI) are examined with specific attention given to the effect of spatial scales on the understanding of surface phenomena. A scale variance analysis is conducted on NDVI annual and seasonal images of Africa taken from 1987 NOAA-AVHRR data at spatial scales ranging from 8-512 km. The scales at which spatial variation takes place are determined and the relative magnitude of the variations are considered. Substantial differences are demonstrated, notably an increase in spatial variation with coarsening spatial resolution. Different responses in scale variance as a function of spatial resolution are noted in an analysis of maximum value composites for February and September; the difference is most marked in areas with very seasonal vegetation. The spatial variation at different scales is attributed to different factors, and methods involving the averaging of areas of transition and surface heterogeneity can oversimplify surface conditions. The spatial characteristics and the temporal variability of areas should be considered to accurately apply satellite data to global models. |
| تدمد: | 1366-5901 0143-1161 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::89f4453f970c314f2ce9d7e32db51b49 https://doi.org/10.1080/01431169108929707 |
| رقم الأكسشن: | edsair.doi...........89f4453f970c314f2ce9d7e32db51b49 |
| قاعدة البيانات: | OpenAIRE |
PDF full text from Publisher | تدمد: | 13665901 01431161 |
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