Research
plan:
Well
its just very earlier idea and plant and could be subject to change
particularly on the study area but I hope not on the objectives, hopely:
Title: Remote sensing and
Geographic Information systems for monitoring of forest condition and
developing of forest fire hazard models.
Objectives
of study:
1.
To monitor forest condition, particularly on actual rate of
deforestation, forest distribution, and ecological forest condition using
remote sensing and geographic information system for the rehabilitation and
management of tropical forest in Sasamba area of East Kalimantan province,
Indonesia.
2.
To develop land degradation models with emphasis on forest fire and
soil erosion models which may result on land degradation hazard in East
Kalimantan, Indonesia.
Background.
It is no doubt, that forest fire
event in East Kalimantan since 1982 has been resulting on the destruction of
forest, which may induce on accelerating soil erosion, land use/cover
conflicts, and changes in ecological of tropical forest condition. All of these
processes will bring to lead of Land degradation problem. However, type of
research using remote sensing and Geographic information system (GIS) to
monitor the forest condition and predicting model for land degradation hazard
for input of the rehabilitation and management of tropical forest in East
Kalimantan, is generally lacking. Therefore it is important to examine the
possibility of remote sensing and GIS technique as a means for monitoring of
forest condition and forest fire hazard.
Study
area
Sasamba area in East Kalimantan
province Indonesia will be selected for the study site. This area has long
stories about forest fires and severe affected by last forest fire in
1997/1998. This area also is known as the most degraded area in East
Kalimantan. However this area has been established by the Indonesian Government
as one of the region of integrated of economical development (KAPET) in Eastern
of Indonesia. Economical development of this area would be expected to
accelerate the economical of the entire East Kalimantan province.
Methods
A multi temporal remote sensing
data and digital elevation model (DEM) are will be used as the main data. The
others variables will be derived from these two data corresponding to
ecological forest condition, and forest fire hazard models. Six techniques
change detections will be applied to evaluate the forest condition and identify
burned areas are as follows: (1) spectral image differencing; (2) image rationing;
(3) image regression; (4) change vector analysis; (5) vegetation index
differencing, and (6) principle component analysis.
Integration of remote sensing
and geographic information systems will be used to determine the ecological
forest condition. Two type of forest will be selected, one as natural forest
and the others as secondary forest. The ecological factors are then measures,
particularly for determining of fuel type, biomass, ANPP and carbon lost.
The weight variable and
statistical analysis (multi regression analysis) will be applied to develop
forest fire hazard model. The GIS will be used to analysis the final model of
forest fire hazard and ecological forest condition. The models are then will be
assessed with the actual condition through ground check or using different
remote sensing data.
.
Expected
result.
Through this study, it is
expecting that the forest condition in East Kalimantan after several forest
fires could be grasped, particularly on actual rate of deforestation, recently
and prediction of ecological forest condition. Within this study also is
expected that a model of land degradation in East Kalimantan can be mapped.
Based on this land degradation map and forest condition recognition, it could
be possible to determine the rehabilitation and management model of tropical
rain forest in East Kalimantan.