Aerial photogrammetry is one of the Alternative technologies for more detailed data, real time, fast and cheaper. Nowadays, many photogrammetric mapping methods have used UAV / unmanned drones or drones to retrieve and record data from an object in the earth. The application of drones in the field of geospatial science today is in great demand because of its relatively easy operation and relatively affordable cost compared to satellite systems especially high - resolution satellite imagery. This research aims to determine the stage or overview of data retrieval process with DJI Phantom 4 (multi - rotor quad - copter drone) with processing using third party software. This research also produces 2 - dimensional high resolution image data on the research area. Utilization of third party software (Agisoft PhotoScan) making it easier to acquire and process aerial photogrammetric data. The results of aerial photogrammetric recording with a flying altitude of 70 meters obtained high resolution images with a spatial resolution of 2 inches / pixels.

Permukiman adalah bagian dari lingkungan hidup yang berfungsi sebagai lingkungan tempat tinggal. Kondisi dari suatu permukiman sangat mempengaruhi kelangsungan kehidupan dan kesejahteraan makhluk hidup di permukiman tersebut. Untuk mengetahui kualitas permukiman di Kecamatan Batam Kota dibutuhkan parameter-parameter penentu yang di interpretasi dari citra resolusi tinggi (Google Earth). Untuk membantu proses analisis dengan memanfaatkan teknologi penginderaan jauh dan untuk pemetaan menggunakan software SIG. Metode yang digunakan adalah metode pengharkatan (scoring), tumpang susun (overlay). Hasil dari overlay tersebut adalah peta kualitas permukiman di kecamatan Batam Kota, Kota Batam. Dari penelitian ini dapat diketahui bahwa permukiman di Kecamatan Batam Kota dengan kualitas baik dengan luas 476.88 Ha, kualitas sedang dengan luas 650 Ha, dan kualitas buruk dengan luas 48.89 Ha. Dari hasil tersebut permukiman di Kecamatan Batam Kota didominasi oleh permukiman dengan kualitas sedang. The neighborhood is part of the environment that serves as a neighborhood residence. The condition of a settlement extremely affects to the continuity of life and the well-being of living creatures in the neighborhood. To find out the quality of the neighborhoods in districts of Batam City required parameters in determining the interpretation of high-resolution images (Google Earth). To help the analysis process by making use of remote sensing technology for the mapping, and using software SIG. The Method is using score (scoring), and stack bundles (overlay). The result of the overlay mapped quality neighborhoods in districts of Batam city, Batam city. From this research it can be known that settlements in Batam City with good quality with extensive 476.88 Ha, better quality with an area of 650 Hectares, and bad quality with extensive 48.89 Ha. The results of the neighborhoods in districts of Batam City are dominated by the neighborhoods with better quality.

Lubis MZ, Anurogo W, Hanafi A, Kausarian H, Taki HM, Antoni S. 2018. Distribution of benthic habitat using Landsat-7 Imagery in shallow waters of Sekupang, Batam Island, Indonesia. Biodiversitas 19: 1117-1122. Shallow sea waters are one region that has high dynamics and an important role both economically and ecologically. Batam Island one of the islands in Indonesia is rich in the ocean in Riau Islands Province, Indonesia, and surrounded by small islands.We conducted classification and correction of water column using Lyzenga formula, to see benthic habitat in Sekupang waters, Batam Island, Indonesia. This research uses remote sensing method with Landsat-7 image data, on data recording that is dated December 16, 2016. The purpose of this study is to obtain information on the distribution and extent of sand, dark sea, and coral reefs on Batam Island shallow waters of Sekupang. By using the formula of Lyzenga algorithm, the value of ki/kj is 0.404, by looking at the color change corresponding to the channel. Research result of classification in the shallow coastal waters of the island of Batam in Sekupang with the area is sand with 27.64 % (3.443 ha), cloudy sea with an area of 30.94% (3.854 ha), and coral reefs with an area of 41.43% (5.161 ha).

Sikka regency waters including fishery management with a high utilization status so that the necessary stages of an intensive monitoring and research potential of fish resources. This study aimed to obtain the estimated value of stock biomass and density of fish resources with the acoustic method. Quantitative data obtained will be a source of current information on the state of fish resources in the Sikka regency waters, Indonesia. The research was conducted in May 2015. Acoustic data retrieval, using instruments CruzPro fish finder PcFF-80 with sound velocity of 1516 m / s, power 2560 Watt, and method in survey acoustic use hydroacoustic long transect. The horizontal distribution shows a fluctuation striking at research location has the highest salinity levels in the range of 29.3-29.8 psu. Total biomass of fish in this study showed more the number is at a depth of 11-20 m that is 2,008 tons/km and at a depth of 1-10 m have the total fish biomass is 12.33 tons/km, single detection is done using a single target hydroacoustic show more dominance at a depth of 11-20 m in Sikka regency waters, MTB, Indonesia in May 2015. Number of data from results obtained by looking at the relationship between the number of the data with the total biomass in 1-10 m depth has equation Y = 0.0967x + 0.0486 with R2 is 0.0464 (4%) , while at a depth of 11-20 m has a regression equation is Y = 0.0003x + 0041 with the R2 is 0.0091 (0.9%). Variations in the data or the detection of single targets have variations over the data that is at a depth of 11-20 m with the lowest regression is 0.9%.Keywords: Hydroacoustic, Salinity, Biomass, Stock estimation, Sikka regency waters.

Potential land drought mapping on Batam is needed to determine the distribution of areas that are very potential to the physical drought of the land. It is because the drought is always threatening on the long dry season. This research integrates remote sensing science with Geographic Information System (GIS). This research aims to map the distribution of land drought potential in Batam Island. The parameters used in this research are land use, Land Surface Temperature (LST), Potential dryness of land on the Batam island. The resulting map indicates the existence of five potential drought classes on the island of Batam. The area of very low drought potential is 2629.45 ha, mostly located in the Sungai Beduk sub-district. High drought potential with an area of 7081.39 ha is located in Sekupang sub-district. The distribution of very high land drought potential is in Batam city and Nongsa sub-district with area of 15600.12 ha. The coefficient of determination (R ²) is 0.6279. This indicates a strong positive relationship between field LST and modelled LST.

Lubis MZ, Pujiyati S, Tauhid M, Anurogo W, Kausarian H. 2018. Coral reefs recruitment in stone substrate on Gosong Pramuka, Seribu Islands, Indonesia. Biodiversitas 19: 1451-1458. Gosong Pramuka is a reef distribution area located in the center of the Seribu Islands of Jakarta, Indonesia. This research was conducted from April to June 2015, located within the Gosong Pramuka area, Kepulauan Seribu, Indonesia. This location has 4 observation stations: Exposed I and II and Shielded I and II. Coral reefs identified at the study sites consisted of 95 colonies, with colonies most abundant in Exposure Station I (35 colonies), and in the genus Acropora and Porites. Acropora coral growth is tabulated, branching, digitate and encrusting, and Porites are only sub-massive and massive. The average area obtained from recruiting coral colonies had a range of 25-50 cm2, and the average diameter of coral recruits was 9-12 cm. The results of this research determined the coral health index of the area is 2-3. Based on the CoralWatch method, the coral at the station where the research was conducted is classified as under stress conditions. The value of recalculated coral density obtained in this study was 0.22 colony/m2 at Exposure Station I, 0.11 colony/m2 at Shielded Station I, 0.13 colony/m2 at Exposure Station II, and in 0.11 colony/m2 at Shielded Station II. Temperatures in all four stations range from 30-32°C; this temperature range is within the optimum temperature range for coral growth. The depth at all four stations was in the ranged from 70-98 cm; this indicates the stations where the research was conducted is still within an optimum depth.