The drivers for coastal flooding may vary from extremely high intensity and persistent rainfall, morphological factors of the coastal area, to extreme waves from the ocean. This means that the flood vulnerability of a coastal area does not solely depend on a single driver but can be a combination with others. A national standard for coastal flooding based on rainfall drivers has been developed. As an evaluation, this study aimed to develop a method for coastal flood-prone mapping by combining rainfall with tidal waves. The steps included the assessment of the coastal flood-prone areas driven by rainfall (CFR) and the coastal flood-prone areas by combined drivers (CFC), which was developed by employing the analytic hierarchy process (AHP), spatial-overlaid, weighted-scored, and logical tests. The coastal area of Mataram City on the Island of Lombok in Indonesia was selected as the study area, since it is frequently affected by flooding. The findings determined the essentiality of the CFC method for identifying flood vulnerability areas. Thus, the minimum standard for CFC parameters can be defined with climatic and land characteristic factors. Further, the findings also identified the need for expert judgment in the development of the CFC weighted score-based method.

Balancing water supply demand is vital for sustaining livelihoods. Spatial mapping and calculating water yield dynamics due to land use changes over decades are needed to manage land resources and formulate ecological protection policies. This study mapped the supply, demand, and matching status of water product service using the Integrated Valuation of Ecosystem Service and Tradeoff (InVEST) biophysical models in the Citarum Watershed (CW) in 2000, 2010, and 2020. Moreover, this study used Exploratory Spatial Data Analysis (ESDA) and Geographic Information System (GIS) techniques to study the agglomeration characteristics and evolutionary trajectories of supply–demand over two decades. The results showed that between 2000–2010 and 2010–2020, the water supply decreased by 19.01 × 10⁸ m³ (18.28%) and 12.97 × 10⁸ m³ (15.27%), respectively. However, the water demand in the same period increased by 6.17 × 10⁸ m³ (23%) and 15.74 × 10⁸ m³ (47%), respectively. Over the decades, the contribution of land use land cover (LULC) changes to variations in water supply has yielded values ranging from 2.87% to 6.37%. The analysis of the water supply–demand imbalance indicated that the entire CW experienced water shortage, and the type of spatial matching for supply and demand is dominated by a high supply and high demand class (16.09% of the total area). Based on the level of water deficit calculation, the upstream and downstream areas were identified as zones that require ecological conservation, while the middle CW area requires ecological restoration or ecological improvement.

Sustainable coastal management is playing an important role in coastal resources conservation, particularly on small islands. Karimata archipelago has unique characteristics and great potential to be developed as a tourism object, one of which is Karimata Island as the largest island and also reserve area. The concept of ecotourism focuses on the ecology conservation, economic benefits, and social life. Ecotourism aims to build sustainable tourism that provides economically viable and social benefits to the community. This study aims to develop coastal management strategy based on ecotourism at Karimata Island. Spatial approaching through coastal type was done. Qualitative descriptive analysis and SWOT are used to develop sustainable management strategies for the coast of Karimata Island, where the opportunities and challenges to the development of coastal ecotourism Karimata Island also included. If this potential is optimally utilized, it can be relied as an economic opportunity for local communities. Structurally shaped coast, marine depositional coast and coast build by organism are several of coastal types found at Karimata Island. Coastal ecosystems inhabited Karimata Island are mangroves, coral reefs, and macro-algae. Karimata Island have not been optimally utilized for tourist destinations. The biggest obstacle encountered is the accessibility from Kalimantan or other island at Karimata islands. Several problems related to the utilization of coastal resources were found such as mangrove and coral reef damage, also regulation that less supportive. The results of this study are expected to provide an overview of solutions for the development of coastal tourism potentials in Karimata Island.

The availability of updated and easy access to geospatial data and information is the main thing in disaster mitigation and sustainable spatial planning. This needs to be supported by the rapid development of technology in the aspect of spreading data and spatial information via the internet. The Spatial Data Infrastructure (SDI) is realized as an implementation of spatial data distribution. SDI is an integrated mechanism to make it easier for spatial data users to access, search, share, and use spatial data and information. Built upon the background statements, the research does intend to develop a web-app which is functioned as a data repository, viewer, and also simple processing (web GIS). To design and develop a disaster geospatial online application web-app that has an integrated function (repository-web GIS) following the directions and input from user feedback becomes the fold of the research. . The importance of putting the user needs in building a web-app to be used by anyone universally is more realistic and practical. The user interface is very essential in bridging communication between users and web mapping systems. User-centred design (UCD) implemented by gathering input and feedback from users. UCD describes the process of ensuring interface success throughout the design and development of the interface. GeoNode has chosen as the platform since it is open-sourced, and commonly used for managing and publishing geospatial data. Based on respondents' assessment of the quality of content/information that important to be developed in a disaster website, it is recognized that providing reliable and up-to-date data and information (69%) and the accuracy of data and information (74%) are the most important things to develop in the InDITA application. the most important features to respondents are the spatial data display feature/map viewer (89%). The design of InDITA was built interactive and user-friendly which designed as an application that accommodates simple viewer, data repository, and web GIS functions. The interactive design emerged as the demand for app users.

Abstrak Peta batimetri perairan dangkal dapat membantu pengelolaan, pemantauan, dan perlindungan bagi ekosistem di dalamnya. Namun, ketersediaan peta batimetri di wilayah perairan dangkal di Indonesia masih terbatas. Untuk itu, diperlukan sebuah metode pemetaan cepat estimasi batimetri di perairan dangkal di Indonesia. Penelitian ini mencoba mengaplikasikan metode otomatisasi pemetaan batimetri perairan dangkal di Tanjung Kelayang menggunakan band biru dan hijau dari mosaik clean-coastal-water citra Sentinel-2, klorofil-a dari aqua-MODIS pada platform Google Earth Engine (GEE). Tujuan dari penelitian ini adalah menguji keandalan metode pemetaan cepat batimetri dengan menggunakan data mosaik citra satelit Sentinel-2, klorofil-a dan algoritma band-ratio pada platform GEE di wilayah penelitian. Hasil penelitian menunjukkan model SDB (Satellite Derived Bathymetry) memiliki R2 sebesar 0,62, mean absolute erorr (MAE) sebesar 1,77 meter dan RMSE sebesar 2,02 meter dengan estimasi nilai kedalaman optimum 5 meter dan maksimum 10 mter. Dengan demikian, model SDB yang dihasilkan dapat diandalkan sebagai alternatif untuk pemetaan cepat batimetri di perairan dangkal, meskipun harus berkompromi dengan akurasi peta batimetri yang dihasilkan. Abstract Bathymetric maps of shallow waters can aid in managing, monitoring, and protecting ecosystems within them. However, the availability of bathymetric maps for shallow water regions in Indonesia still needs to be improved. Therefore, a method of rapid mapping for bathymetry in shallow waters in Indonesia is needed. This study attempts to apply an automated method for mapping shallow water bathymetry in Tanjung Kelayang using the blue and green bands of the clean-coastal-water mosaic of Sentinel-2 images, chlorophyll-a data from aqua-MODIS, and the Google Earth Engine (GEE) platform. This research aims to test the reliability of the rapid bathymetry mapping method using Sentinel-2 image mosaics, chlorophyll-a data, and band-ratio algorithms on the GEE platform in the study area. The results of the study show that the Satellite Derived Bathymetry (SDB) model has an R2 value of 0,62, a mean absolute error (MAE) of 1,77 meters, and a root mean square error (RMSE) of 2,02 meters, with an estimated optimal depth value of 5 meters and a maximum depth value of 10 meters. Thus, the generated SDB model can be considered a reliable alternative for rapid bathymetry mapping in shallow waters, although it may compromise the accuracy of the resulting bathymetric maps.