| Abstrak/Abstract |
The use of unbalanced land function with the
ability and availability of land can increase land degradation
from one of the erosion. This case in the Mongo Watershed
which has a high level of soil criticism based on the data
management plan of the Bogowonto 2018. This erosion can
lead to decreased soil quality and loss of fertile soil, resulting in
a direct impact on crop productivity. It can be minimized by
doing erosion forecasts so that it can determine the appropriate
mitigation. Estimate erosion by utilizing remote sensing
technology and Geographic Information Systems (GIS)
because the updates can be done quickly, covering a large and
hard-to-reach area, and cheaper costs, so that it can be more
effective and efficient. The modeling method used is the
MUSLE method (Modified Universal Soil Equation). Modeling
uses remote sensing data such as Sentinel 2A imagery, DEM
ALOS PALSAR, and TRMM data. The use of TRMM data has
improved the model through the addition of more accurate
rainfall spatial information. The results of the erosion
estimation in Mongo Watershed are dominated by very light
and the overall erosion rate has a value from 0 to 221.483
tons/ha/yr. |
