RECOGNITION AND UTILIZATION OF SATELLITE IMAGE SENTINEL-2 FOR MARINE MAPPING. Sentinel-2 is a satellite launched by a collaboration between The European Commission and the European Space Agency in the GlobalMonitoring for Environment and Security (GMES) program. The satellite has a mission to scan the Earth's surface simultaneously at an angle of 180 each satellite with a 5-day temporal resolution with the same appearance on the equator and has a spatial resolution of 10 m, 20 m, and 60 m. There are 13 multispectral channels including VNIR and SWIR. Four channels with 10 m spatial resolution adapt with SPOT 4/5 and user's comply requirements for land cover classification. Six channels with 20 m spatial resolution becomes a requirement for other Level 2 processing parameters. Channels with 60 m spatial resolution are specified for atmospheric correction and cloud filtering (443 nm for aerosols, 940 nm for moisture, and 1375 for thin cloud detection). Based on these specifications, Sentinel-2 can be an alternative for users to obtain image data with spatial, temporal, radiometric, and spectral resolution is better than SPOT and Landsat. Sentinel-2 can be downloaded for free and easy by the general public. The existence of image by Sentinel-2 is expected to be used optimally, especially for remote sensing analysis in marine field.

One of Sustainable Development Goals (SDGs) declared by United Nation is Climate Action. Integrated climate change measurement is one of the point in this goal. The solution in this form is low cost and open source hardware to monitor weather and air quality real time. This study goals is developing Arduino platform to monitor wind speed, air temperature, air humidity, and smoke. All circuit board, electronic component specifications, and programming software are open source and freely available for anyone to use and modify. Inexpensive sensors and Arduino Uno were used to develop low cost system. This system send data to Thingspeak as Open Internet of Things (IoT) platform which provide real time data collection, data processing, and data visualization to users. This system provide a low cost solution (system cost around one million Rupiah) to monitor weather and air quality that easily deployed in the desired geographical area. The results are plotted in graphs to ease the users monitor data both locally and remotely. This system use Arduino Uno as main processor, Real Time Clock DS3231 to provide time information, anemometer to provide wind speed, DHT22 used as humidity and temperature sensor, MQ-2 used for smoke detection and CO level, and SIM900 as GSM shield for sending data to server. Results of measurements demonstrate the usefulness of this system in weather and air quality monitoring.

The water pressure monitoring system in the PDAM pipeline networks has been successfully developed for operation and maintenance of water leaks in a real-time manner. This research aims to design a water pressure monitoring system in operational piping networks to identify anomalies as early as possible. The system is built using a microcontroller, a 1.2 MPa fluid pressure sensor and a control system equipped with a GSM wireless communication module, an Analog to Digital Converter module with 16-bit resolution, a real-time clock peripheral, an OLED display 128x64, and a micro SD card. The developed system was tested in a pressure range of 0.200 - 0.800 bar with 30 repetitions with a RMSE of 0.058 bar. This system has a deterministic coefficient of 0.885 against a standard manometer. The system implemented in the field successfully sends data to the server with a success rate of 96.0%. Data is displayed on a monitoring dashboard that can be accessed via a computer or smartphone.

Sea level is one of ocean properties that needed to be observed. Sea level observation will give information about osean tides and tides datum. As technology became more reliable, people can develop new instrument easily. Recently, open source microcontroller “Arduino” became popular and lot of people using it to develop what we call “low-cost” instrument. But, there are several disadvantages if we build instrument directly. Simulation phase must be done before manufacture instrument. This phase will help to decrease cost and time. In this paper, we will describe the concept, algorithm, and simulation phase in manufacturing Low Cost Ocean Tides Monitoring Instrument.