Judul: Utilization of terra/MODIS L1B data for analysis of horizontal wind profile in the troposphere
Abstrak: This study was concerned with horizontal wind derived from data collected with the Moderate-resolution Imaging Spectroradiometer (MODIS) on board the NASA’s Earth Observation System (EOS)-Terra satellite. The aim of this study is to develop a method for the estimation of horizontal wind movement in the troposphere based on Navier-Stokes equation. The method was applied to a calibrated and geolocated Terra/MODIS L1B 1 km data set. The data inputs to estimate surface temperature are retrieved from TIR (Thermal Infrared) bands 31 (10.780 μm to 11.280 μm) and 32 (11.770 μm to 12.270 μm). The obtained surface temperatures were later used to approximate geopotential height on a constant-pressure surface by using the modified Poisson equation. The main assumptions used are the hydrostatic equilibrium, ideal gas law, constant lapse rate and constant acceleration of gravity. Based on the distribution of geopotential height, the pressure gradient force is measured by the gradient of geopotential on an isobaric coordinate to present the horizontal wind profile. For certain topographic areas especially in the mountain ranges, there was a disadvantage of using pressure as a vertical coordinate which lead to inaccuracy. In spite of that, Terra/MODIS L1B data with 1 km spatial resolution can be used to estimate the horizontal wind movement in the troposphere.
Keyword: 

Judul: Pendugaan Nilai Suhu Permukaan Berdasarkan Data Terra-MODIS L1B dan SRTM 90m
Abstrak: Land Surface Temperature (LST) is one of the best indicators of the energy balance at the earth's surface and a key parameter in the physics of land surface processes that combine the interaction between long wave energy flux at the surface and in the atmosphere. Several methods for determining the value of LST with remote sensing data have been widely developed one of which is the use of Terra-MODIS satellite. MODIS has a mission to monitor the phenomenon on the surface and the atmosphere so that users can find information changes that occur in near-realtime. The purpose of this study is develop methods and algorithms using satellite remote sensing Terra-MODIS data for prediction and mapping LST and determine the relationship of surface temperature derived from Terra-MODIS satellite data with surface topography and land cover. LST determination was done by using the split window algorithm by including the main factors such as emissivity and brightness temperature. The results showed that average of the highest LST that the Vidal algorithm. The relationship between LST and altitude be obtained average of the highest R2 is in June/July whereas the lowest is in September/October. Further, the relationship between LST and land cover be obtained average of the highest LST value is on open land and built land whereas average of the lowest value is forest land. Solar zenith angle is greatly affect sensor accuracy to determination LST value
Keyword: 

Judul: Prevalensi Kecacingan Ancylostoma spp pada Anjing (Studi Kasus di Rumah Sakit Hewan Jakarta Periode Januari-Desember Tahun 2000).
Abstrak: Anjing seperti halnya juga hewan-hewan lain sangat mungkin terserang penyakit, salah satunya oleh infeksi cacing. Salah satu cacing yang banyak menginfeksi pasien-pasien anjing di Rumah Sakit Hewan Jakarta adalah cacing Ancylosroma spp. Jumlah pasien anjing yang terinfeksi cacing Ancylostomn spp selama Tahun 2000 sebanyak 491 ekor.
Keyword: