| Abstrak/Abstract |
This research address several issues related to mangrove above-
ground carbon stock (AGC) mapping using the integration of
remote-sensing images and field data. These issues are (1)
remote-sensing image availability for speciec mangrove AGC map-
ping scale and precision, (2) the impact on mangrove AGC model-
ling due to the difference between images spatial resolution and
plot size of field mangrove AGC measurement, which follow the
standardized procedure and not specially developed to be inte-
grated with remote-sensing data, and (3) the accuracy of perform-
ing mangrove AGC mapping using image at different spatial
resolutions using similar field size mangrove AGC data. Four multi-
spectral data sets, namely Worldview-2, Advanced Land
Observation System Advanced Visible and Near-Infrared
Radiometer-2 (ALOS AVNIR-2), Advanced Spectral and Thermal
Radiometer (ASTER) Visible Near-Infrared (VNIR) and Landsat 8
Operational Land Imager (OLI), and a Hyperion hyperspectral
image were tested for their performance for mangrove AGC map-
ping. These images represent various spatial, spectral, and radio-
metric resolutions of remote-sensing data available to date. The
mapping was performed using their original spatial resolution, and
for Worldview-2 the mapping was also conducted using 10 m
spatial resolution. Image radiometric corrections, vegetation
indices, principal component analysis and minimum noise fraction
were applied to each image. These were used as input in the
empirical modelling of mangrove AGC. The results indicate that
(1) it is not possible to perform empirical modelling of mangrove
AGC using image with sub-canopy spatial resolution, (2) decreas-
ing the spatial resolution may be beneficial to obtaining a signifi-
cant correlation with mangrove AGC, and (3) it is possible to
perform empirical modelling of mangrove AGC mapping using
field data not specially intended to be integrated with remote-
sensing data, along with some adjustments. This opens up the
possibility of utilizing the available field mangrove AGC data
collected by stakeholders, that is, government institutions, NGOs,
academics, private sector, to assist mangrove AGC mapping across
the nation. |
