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The study location of landslide is in Hokkaido, Japan which occurred due to the Iburi Earthquake 2018. In this study the landslide has been estimated by the fully Polarimetric SAR (Pol-SAR) technique based on ALOS-2 PALSAR-2 data using the Yamaguchi’s decomposition. The Yamaguchi's decomposition is proposed by Yoshio Yamaguchi et.al. The data has been analyzed using the deep learning process with SegNet architecture with color composite. In this research, the performance of SegNet is fast and efficient in memory usage. However, the result is not good, based on the Intersection over Union (IoU) evaluation obtained the lowest value is 0.0515 and the highest value is 0.1483. That is because of difficulty to make training datasets and of a small number of datasets. The greater difference between accuracy and loss graph along with higher epochs represents overfitting. The overfitting can be caused by the limited amount of training data and failure of the network to generalize the feature set over the training images.

Coastal areas in the Canggu and Seminyak areas located in Badung Regency, Bali Province are very attractive tourism. The development of tourism has an impact on coastal conditions. The coastal conditions analyzed are changes in coastline that occurred during 2015-2019 using remote sensing. The satellite image data used in the analysis is Sentinel 2A image data that can be accessed for free with a spatial resolution of 10 meters. Image data processing is divided into three stages, namely preprocessing, processing, and post processing using Sentinel Application Platform (SNAP) software. The preprocessing stage includes the resampling, masking, and subset areas. The processing stage includes digitizing the coastal area, digitizing accuracy analysis using the Support Vector Machine (SVM) method, and the post processing stage including correction of shoreline changes. Bands in image data used for detection of coastal areas are band 8 (NIR), 8A (narrow NIR), 11 (SWIR), and 12 (SWIR). Based on the results of the analysis of shoreline changes carried out during 2015-2019, it was found that the average shoreline changes were 1.42 m / year with erosion conditions in which the dominant wind direction originated from the southwest towards the northeast coast of the sea of ??Bali. The results of digitizing the coastal area using the Fine Gaussian SVM method with the greatest accuracy value is 87.8%. Keywords: Shoreline Change, Remote Sensing, Sentinel 2A, SVM, Wind Direction

Integration of Remote Sensing Technology And Geographic Information Systems for Estimation of CO2 Updake and Emissions in Denpasar City Rapid economic growth in the Denpasar City has an impact on the rate of population growth. This will lead to increasing land requirements for settlements, infrastructure, and other supporting facilities. Meanwhile, the availability of land for green open space (RTH) will decrease. Several studies show that from year to year the area of ??vegetation cover decreases, and the air temperature in Denpasar City is increasing. Therefore, research to calculate CO2 uptake by urban plants and CO2 emissions from various activities in the city of Denpasar is needed to be done. Estimates of CO2 uptake by plants are carried out using remote sensing technology and GIS. Meanwhile, the calculation of CO2 emissions is carried out by an inventory of CO2 pollutant sources from point sources, areas sources, and mobile sources. The output of this study is a distribution map of CO2 absorption and emissions. From the map it can be seen whether the CO2 emissions of Denpasar City are higher than the ability of existing plants to absorb them. The results showed that the ability of plants in Denpasar as a green open space to absorb CO2 was 235,780.63 tCO2/year, while total emissions from pollutant sources were 862,955,856 tCO2/year. The sources of CO2 emissions include from point source 37,649 tons/year, from source area 95,310 tons/year, and from mobile sources at 862,955,856 tons/year. From the movable source the biggest contributor to CO2 emissions is light vehicles, which amounted to 540,355.88 tons/year (62.63%), then followed by motorcycles at 260,187.43 tons/year (30.16%). The amount of CO2 emissions in Denpasar City is 3.66 times greater than the ability of plants to absorb CO2 in 2015 and there is a tendency for this gap to be even greater in the future. To overcome this problem, regulations are needed such as reducing the number of motorized vehicles by increasing public transportation services. The use of vehicles using energy sources other than fuel such as electricity is another alternative to consider. Finally, the increase in the number and quality of green open spaces is a conventional method that needs to be done.

The water quality of Badung River in Pemogan village has exceeded the threshold limits.Therefore, It is needed to determinate the carrying capacity of Badung River. The determination of carrying capacity is very useful to control the disposal of waste into the Badung River. The objective of this study were to determine the sources of pollution, pollutant load and load capacity of Badung river at Pemogan village. Determination of pollutant source done with looked for land use and types of activities along the Badung river Pemogan village followed by field inspections. The pollution load was determined by multiplying the concentration of water quality and flow rate, while the carrying capacity was determined with the help of the program Qual2Kw ver 5.1. Determination of load capacity with Qualk2Kw ver 5.1 has several step such as data collect, the data entry process, calibration, verification and simulation according to the scenario. The result of this study showed sources of pollution that cause a decrease the water quality of Badung river in Pemogan village were non point source (agriculture and settlements) and point source (flow from upstream). The pollution load that flow into the Badung river in Pemogan village for BOD, COD and TSS respectively 419,97 kg/ day; 865,66 kg/day dan 160,70 kg/day. Load capacity of Badung river for COD and TSS were 1686.53 kg/day dan 4743.36 kg / day, Meanwhile, the load capacity of Badung River for BOD has overlimits.

This research was conducted in the northeastern slopes of Mount Agung in Karangasem regency, Bali province. The research area is dry land with land use patterns that have not demonstrated compliance with existing land potential. On the other hand, technological advances in the field of agriculture has been growing rapidly, one by analyzing the ability of the land to determine the potential of land resources and minimize the risk of failure of farmers. The results of the analysis of land capability is expected to serve as guidelines in a more optimal use of land in accordance with expectations. The purpose of this study was to determine the potential of land and recommends referral based land use conditions existing land capability in the area of research. The design used is descriptive design, with the main objective to provide a picture or description of land use capability and suitability of the study area. Guidelines for land capability analysis in this study refers to Arsyad (2006) and the Regulation of the Minister of Environment No. 17 Year 2009 on Guidelines for Determining Environmental Carrying Capacity in Regional Spatial Planning. The results showed that 1) land capability class research in areas ranging from class III to class VI. Land capability class III is spread on the land unit 1, land unit 2, land unit 3,and land unit 8. Capability class IV land located on land unit 4, land unit 7, land unit 9, land unit 10 and land unit 12.Land capability classes VI located on land unit 5, land unit 6, and land unit 11; 2) land use suitability value obtained was 92.85%. This shows that almost the entire study area (92.85%) is in conformity between the ability of the land and its use. The rest (7.15%) classified as not appropriate. Suitability of the land use study area into the high criteria; 3) Referral land use adapted to the existing conditions of land units. In class III-IV land that does not meet the user or not used optimally, land use options to do that seasonal crops, plantation crops. While on a class VI land use that is not appropriate or not used optimally, land use options to do that forest production and non-agricultural land use.

The total population of District Kuta Utara 2014 recorded 68.422 people with an average population density of 2,021 people/km2 while the number of tourism accommodation facilities (hotels, villas, restaurants) recorded 399 pieces. The rapid of population growth and the development of tourism accommodation facilities require ground water more increasing. Intake of large amounts of ground water potential to cause pollution/ sea water intrusion. This study aims to determine the quality of the groundwater, knowing distribution maps sea water intrusion and to predict the level of sea water intrusion coming years. This research method uses descriptive quantitative method. Furthermore, to determine the quantity and quality of ground water was measured groundwater levels and analysis of the parameters of temperature, total dissolved solid, pH, chloride, hardness and electrical conductivity of the 60 sample wells. Results of analysis of each of the key parameters that can be mapped and known overlay distribution maps sea water intruded area. The observation of the quantity and quality of groundwater in coastal areas of Kuta Utara subdistrict shows the range of the depth of the ground water level between -5.15 meters to -22.16 meters. Results of the analysis of ground water quality of the 60 groundwater samples showed that there has been a decline in the quality of ground water is as much as 14 samples total dissolved solid (TDS) the highest reaches 1,122 mg/ l, the highest electrical conductivity reached 1,677 ìMhos / cm and the highest chloride reached 532, 5 mg/l. Distribution maps sea water intruded area shows that in coastal areas troubled district of Kuta Utara indicated seawater intrusion, especially in the area of Petitenget and Batubelig, Kerobokan Kelod Village area of 78.44 Ha. Prediction of sea water intrusion in 2022 was highest in the area of tourism accommodation caused by ground water extraction enough much, kind of gray-brown soil regosol has a rough texture and high permeability characteristics so it is easy to pass groundwater.