Mapping Leaf Area Index of restored mangroves using WorldView-2 imagery in Perancak Estuary, Bali, Indonesia

There have been efforts to restore and rehabilitate mangrove forests to compensate for their loss or degradation. Approaches for monitoring these efforts are increasingly developed, including assessment of the dynamic changes in restored mangroves using the biophysical tree parameter called Leaf Area Index (LAI). This study aimed to (1) apply a semi-empirical approach to estimate LAI using WorldView-2 imagery, (2) compare the LAI distributions of three different mangrove forest types (natural, mixed, and planted) at the mangrove restoration site in Perancak Estuary, Bali, Indonesia, and (3) evaluate the applicability of LAI as an indicator for monitoring mangrove growth in restoration areas. To achieve these objectives, a high-spatial-resolution WorldView-2 image data (2 m pixel size) and Normalized Difference Vegetation Index (NDVI) were used. A semi-empirical approach was used to correlate field LAI and NDVI values at the corresponding location. The results showed that the best regression function between the two variables was the third-order polynomial (R-2 = 0.98). Overall, the estimated LAI values ranged from 0 to 9.56 (mean = 1.87, sigma = 0.95, max. Accuracy = 97.6%) and differed between the three mangrove forest types. The comparison revealed that high LAI was associated with planted mangrove forest type where Rhizophora sp. dominated. It indicates that LAI is a useful indicator for assessing mangrove bio-physical conditions and, as such, can be used for monitoring mangrove restoration activities and outcomes.

Automated summary

Efforts have been made to restore and rehabilitate mangrove forests using Leaf Area Index (LAI) as an indicator for monitoring their growth. The study applied a semi-empirical approach to estimate LAI using WorldView-2 imagery, showing that planted mangrove forests with Rhizophora sp. domination had higher LAI values. This indicates that LAI is a useful tool for assessing the bio-physical conditions of mangroves and monitoring restoration activities.