The research aims to determine how much accuracy is improved in developing settlements and distinguish the areas built up and vacant land in Buleleng, Bali district. This study used remote sensing methods to monitor and detect changes in the waking area using Landsat 8 OLI imagery.  Identify settlement developments using the Normalized Difference Built-up Index (NDBI) and Enhanced Built-Up and Bareness Index (EBBI) algorithms. Both algorithms use red and infrared bands as the basis for identifying building differences. As a result, NDBI and EBBI have differences where the accuracy of EBBI is higher than NDBI by 84% and 82%. The difference in accuracy is influenced by the appearance of vegetation and clay-roofed buildings. Based on that, it can be concluded that in identifying the building, EBBI has a higher capacity compared to NDBI, but it must be ensured that in the use of EBBI, the area studied has a more dominant appearance of the building.

The regulatory law no. 32 of article 14 of 1990 is regulated at least 100 meters calculated from the highest tidal point towards the continent. Pond use must consider the distance from the shoreline to avoid losses. This research aims to discover the coastline influence on the sustainability of the ponds in the Muncar Sub-district. The methodology used in this study was digitized on the screen using the ArcGIS base map. The existence of a coastline in digitization for determining an area occurs abrasion or accretion. Then the pond is digitized to discover its existence, then computes the length of the shoreline. The results obtained the existence of the coastline that there are ponds along 15,907.87 m and no pond shoreline 8,173.02 m. In comparison, the number of working ponds can reach 247 plots. Among the five villages that have ponds, three have complied with the regulations. The Kumendung Village is 1432 meters, Sumbersewu Village is 336 meters, Kedungwringin Village is 857 meters eligible, and the other two villages are ineligible Tembokrejo Village along 5 meters and Wringinputih Village 7.3 meters. Ponds that do not comply with regulations are exposed to an abrasion hazard. Therefore, there need to be countermeasures such as backfilling or mangrove planting. Based on these findings, observations should be made to discover the truth of the shoreline existence against ponds that are at risk of abrasion.

The shoreline is a confluence between land and seawater used to determine the boundaries of a zone. This research was conducted on the coastline of Muncar Subdistrict, Banyuwangi, which aims to identify changes in the coastline of Muncar Subdistrict in 2000-2020 using Landsat image 8 OLI / TIRS, map the rate of changes in the coastline of Muncar Subdistrict in 2000 and 2020, and know the changes in the coastline in Muncar Subdistrict is more likely due to abrasion or accretion. The research methodology used for this study uses the NDVI analysis and the DSAS Shoreline analysis system. The identification takes 20 years with Landsat imaging in 2000 and 2020. The results of this study demonstrate that shoreline alterations are caused by abrasion, accretion and human activity. This change in shoreline results from abrasion and accretion factors. The coastline change in 2000-2020 in the subdistrict of Muncar can be concluded that there are six villages. These include the villages of Kumendung, Sumbersewu, Tembokrejo, Kedungrejo, Kedungwringin and Wringin Putih. However, the village most seriously affected by abrasion and accretion is Wringim Putih Village. The village of Wringin Putih reported that the level of abrasion and accretion could be considered 50 per cent abrasion and 50 per cent accretion. So the change in shoreline can result around the Muncar Subdistrict coastal area, such as reduced coastal areas, lost colonies, and damage to marine ecosystems

Kondisi lereng gunung berapi dan letaknya di hulu DAS menyebabkan terdapat banyak air terjun di Desa Wanagiri. Penelitian ini menggunakan sampling area dengan lokasi di Banjar Bhuana Sari dan Banjar Puncak Manik. Tujuan dari penelitian ini adalah untuk memetakan dan mengetahui sebaran air terjun serta memetakan karakteristik lacaknya ke air terjun tersebut. Data dikumpulkan melalui pelacakan lapangan dengan Mobile GPS dan diproses menggunakan Google Earth Pro. Hasil penelitian ini menunjukkan dari persebarannya Banjar Bhuana Sari memiliki 4 objek wisata air terjun yang memiliki keragaman sebaran yang lebih banyak dan Banjar Puncak Manik memiliki 3 objek wisata air terjun yang memiliki keragaman sebaran yang berdekatan. Dari ciri track tracking menuju air terjun, air terjun di Banjar Bhuana Sari memiliki panjang jalur 1153 meter dari pintu masuk terpanjang dan jalur terpendek 955 meter, perbedaan ketinggian terendah 96 meter dan tertinggi 148 meter, serta memiliki kemiringan terendah. sebesar 6,9% dan tertinggi 10,6% dengan relief terendah landai dan tertinggi agak landai, serta waktu tempuh rata-rata 60 menit. Air terjun di Banjar Puncak Manik memiliki panjang lintasan dari posko terpanjang 565 meter dan jalur terpendek 426 meter, perbedaan ketinggian terendah 49 meter dan tertinggi 90 meter dengan kemiringan terendah 19,2% dan tertinggi 25,8 meter. % dan relief terendah adalah kemiringan sedang dan tertinggi. tanjakan terjal, dan waktu tempuh terpendek 30 menit dan terlama 40 menit.Kata Kunci: persebaran, air terjun, trekking