Estimating woody and herbaceous vegetation cover from time series satellite observations

• Published in: Global ecology and biogeography 1999-11, Vol.8 (6), p.501-508
• Main Authors: Roderick, Michael L., Noble, Ian R., Cridland, Shane W.
• Format: Article
• Language: English
• Subjects: Artificial satellites; Australia; Biogeography; evergreen cover; GCTE/LUCC Research Letter; Image databases; NDVI; Pixels; Rain; Remote sensing; satellite observations; Time series; time series modelling; Tree-grass ratio; Vegetation; Vegetation cover
• ISSN: 1466-822X; 1466-8238; 1466-822X
• DOI: 10.1046/j.1365-2699.1999.00153.x

In this paper we test a method to estimate the tree and grass vegetation cover over Australia from satellite-derived normalized difference vegetation index (NDVI) time series (monthly 1981-91, ≈ 5 km pixels) observations. The evergreen cover is assumed to track along the base of the NDVI time series, which is assumed to be equivalent to the woody vegetation cover. The base of the NDVI time series is estimated using modifications to a classical econometric model (i.e. time series is the sum of trend, seasonal and random components). Estimates of the average evergreen component during 1982-85 and 1986-89 were generally consistent with known vegetation distributions. Changes in evergreen cover were largely restricted to the south-west and southeast of Australia. Those changes were largely the result of differences in rainfall between the two periods. The proposed method for estimating woody vegetation cover is found to be generally robust. However, there are some regions where the grass (or pasture) is mostly evergreen. Some possible refinements are proposed to handle such cases.