Currently, fishpond aquaculture becomes an interesting business for investors because of its profit,  and  a  source  of  livelihood  for  coastal  communities.  Inventory  and  monitoring  of  fishpond aquaculture provide important baseline data to determine the policy of expansion and revitalization of the fishpond. The aim of this research was to conduct an inventory and monitoring of fishpond area inMaros regency of South Sulawesi province using Satellite Pour l’Observation de la Terre (SPOT -4) and Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Apeture Radar (PALSAR). SPOT image classification process was performed using maximum likelihood supervised classification  method and  the  density  slice  method  for ALOS  PALSAR.  Fishpond  area  from  SPOT data was  9693.58  hectares  (ha),  this  results  have  been  through  the  process  of  validation  and verification by the ground truth data. The fishponds area from PALSAR was 7080.5 Ha, less than the result  from  SPOT  data.  This  was  due  to  the  classification  result  of  PALSAR  data  showing someobjects around fishponds (dike, mangrove, and scrub) separately and were not combined in fishponds area  calculation.  Meanwhile, the  result  of  SPOT -4  image  classification  combined object  around fishponds area.

Air adalah zat transparan yang berupa cairan yang membentuk sungai, danau, laut dan hujan, dan merupakan unsur utama dalam kehidupan manusia. Air selalu menjadi hal penting bagi keberlangsungan hidup manusia dan makhluk organisme lainnya. Air hujan yang sampai ke permukaan tanah tidak berhenti sampai disitu tapi akan mengalir sepanjang permukaan tanah menuju sungai atau danau dan laut. Hujan tersebut sebagian juga tertahan oleh tumbuhan, yang selanjutnya akan diuapkan kembali ke atmosfir. Bagian lainnya masuk ke dalam tanah melalui pori-pori pasir dan batuan, yang kenudian disebut sebagai akuifer. Pergerakan air melalui akuifer ini seperti segelas air yang dituangkan ke dalam gundukan pasir. Para penyedia air membuat sumur melalui tanah dan formasi batuan untuk sampai ke akuifer dan mensuplai air ke masyarakat. Banyak juga perumahan-perumahan yang membuat sumur sendiri untuk keperluannya sehari-hari. Pada tulisan ini akan dibahas mengenai kondisi air tanah dangkal atau sumur pada daerah Wonomarto, Kabupaten Lampung Utara. Berdasarkan hasil kajian dan analisis, pada daerah penelitain dijumpai kedalaman air sumur yang berbeda-beda dan air tersebut dimanfaatkan untuk keperluan sehari-hari.  Keywords : Shallow ground water, Wonomarto.

Water is a component in the earth that is very important for human life. The availabilityof water is always wanted to meet a demand of water supply, such as for drinkingwater, washing, taking a bath, and etc. Along with population growth, so the need ofwater will be still increasing, including Tanah Datar. In this paper will be describedconcerning to characteristics, and condition of water in Pacitan Area, East JavaProvince, especially Donorojo district. This location occupies geographically betweenthe latitude of 00o17’ and 00o39’ south and the longitude of 100o19’ and 100o51’ eastBased on survey in field, condition of aquifer in Telaga Banta is located in 20 – 60meter depth, and the result of laboratory points to that the quality of water in thisarea meets the requirement for drinking water.The main uses of ground water include irrigation uses, drinking-water and otherpublic uses, and for supplying domestic water to people who do not receive publicsupply water. The majority of water used for self-supplied domestic and livestockpurposes came from ground-water sources.

The need for information on potential fishing zones based on remote sensing satellite data (ZPPI) in coastal waters is increasing. This study aims to create an information model of such zones in coastal waters (coastal ZPPI). The image data used include GHRSST, SNPP-VIIRS and MODIS-Aqua images acquired from September 1st-30th, 2018 and September 1st-30th, 2019, together with other supporting data. The coastal ZPPI information is based on the results of thermal front SST detection and overlaying this with chlorophyll-a. The method of determining the thermal front sea surface temperature (SST) used Single Image Edge Detection (SIED). The chlorophyll-a range used was in the mesotropic area (0.2-0.5 mg/m3). Coastal ZPPI coordinates were determined using the polygon centre of mass, while the coastal ZPPI information generated was only for coastal areas with a radius of between 4-12 nautical miles and was divided into two criteria, namely High Potential (HP) and Low Potential (LP). The results show that the coastal ZPPI models were suitable to determine fishing locations around Nias Island. The percentage of coastal ZPPI information generated was around 90% information monthly. In September 2018, 27 days of information were produced, consisting of 11 HP sets of coastal ZPPI information and 16 sets of LP information, while in September 2019 it was possible to produce 29 days of such information, comprising 11 sets of HP coastal ZPPI information and 18 LP sets. The use of SST parameters of GHRSST images and the addition of chlorophyll-a parameters to MODIS-Aqua images are very effective and efficient ways of supporting the provision of coastal ZPPI information in the waters of Nias Island and its surroundings.

Information points coordinate of potential fishing zones (PFZ) is required by user that to be more effective in conducting fishing operation. The results of thermal front detection using single image edge detection (SIED) asshape contour lines. This research aims to determine points coordinate for potential fishing zone based on detection of thermal fronts sea surface temperatures. To determine point coordinate performed segmentation on detection result according to size fishnet grid. Contour line contained in each grid is a polygon shape. Centroid of each polygon is point coordinate of PFZ. The result of sea surface temperature data processing from Terra/Aqua MODIS and Suomi NPP VIIRS satellite sindicates that method of determination the centroid of polygon is very effective in determining the point coordinate of PFZ. Using that method the processing stages of satellite data to be faster, more efficient and practical due to the information of PFZ is already as points coordinate.