摘要：The purpose of This study is to create a level mapping of degraded mangrove land In Tugu Sub-district, Semarang City.For knowing the type of land use and the density of mangrove, this study uses a spatial method analysis using Landsat 7 ETM and ALOS AVNIR-2 with a supervised image classification technique using ER Mapper.The analysis based on three criteria, there area land use type, mangrove density, and soil resilience.Furthermore, for soil resilience analysis, we use soil types reclassification techniques, using GIS.The result based on Landsat imagery shows that 92.22 % of mangrove area included in damaged condition, and 7.78% are in moderate damage.Meanwhile, the result based on the ALOS image shows that 77.73 % of mangrove areas are in damaged condition, and 22.27 % are in moderate damage.From this study, it can be concluded that Landsat and ALOS are useful for identifying and analyzing the degraded mangrove land and the spatial distribution of mangrove with a degree of validation is 70%.
其他摘要：This study aims to map the level of the degraded land of mangrove forest area in TUGU Sub-district, Semarang, by comparing the results from the Landsat 7 ETM + images of 2009 and ALOS AVNIR-2 in 2009. To determine the degradation of mangrove forest area, we used geographic information systems-remote sensing as a tool of analysis based on three criteria; land use type, canopy density, and soil resilience from abrasion. The two satellite image data were used for supervised image classification using ER Mapper software to get the criteria of type of land use and density of the canopy. For soil resilience from abrasion, we utilized soil types reclassification techniques using ArcGIS software. Based on Landsat imagery, the results show that 92.22 % of the mangrove forest area is in severely damaged condition, and 7.78% is in the category of moderate damage. Meanwhile, based on the results of ALOS image, 77.73 % of the mangrove areas is in severely damaged condition, and 22.27 % is in the category of moderate damage. It can be concluded that ALOS and Landsat imageries are good for the determination of degraded mangrove land, especially in identifying its area and distribution in the mangrove forest. However, the degraded mangrove map generated by Landsat is less detailed than ALOS in classifying and representing the conditions of the degraded mangrove area in Tugu sub-district.
