<p><strong>Abstract.</strong> The objective of this study is to detect flooded area in rice paddy fields in Indonesia by using remotely sensed data. We used synthetic aperture radar (SAR) data for this purpose, because it is capable of getting high-resolution data in almost all-weather conditions. The paper gives a result of detecting flooded area occurred in our research sites located close to Bandung area, Tegalluar in Bojongsoang district, from the end of February to the beginning of March in 2018. The C-band SAR data acquired by Sentinel-1 were used for this analysis. We derived the gamma-naught threshold for dividing flood and non-flood areas by using a linear discriminant analysis. Discriminant accuracy reached 98% using VV polarization. By using the gamma-naught threshold and rice paddy field mask (GIS data), the rice paddy flooded area could be extracted with good accuracy.</p>

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Landing Gear Drop Test (LGDT) which aims to determine the characteristic of contact/impact force that occurs in the time of the touchdown landing has been conducted. Experimental tests using the apparatus requires a substantial time and cost. Virtual Landing Gear Drop Test (vLGDT) using MSC ADAMS software is one of the solutions for initial stage to testing landing gear. Stiffness values and damping coefficient obtained from vLGDT are 5.0e5 N/m and 1600 N.sec/m. Contact/impact force that occurs on vLGDT is 75996 N, while from experimental is 73612 N. The difference between vLGDT and experimental result is 3.14%.Abstrak:Pengujian landing gear yang bertujuan untuk mengetahui karakteristik gaya kontak/impak yang terjadi saat touchdown landing telah dilakukan. Pengujian eksperimental menggunakan apparatus membutuhkan waktu yang lama dan biaya yang besar. Vitual Landing Gear Drop Test (vLGDT) menggunakan perangkat lunak MSC ADAMS merupakan salah satu alternatif untuk pengujian tahap awal landing gear. Dari simulasi menggunakan vLGDT diperoleh nilai k = 5.0e5 N/m dan cmax = 1600 N.detik/m. Gaya kontak/impak yang terjadi pada simulasi menggunakan vLGDT sebesar 75996 N, sedangkan dari eksperimental sebesar 73612 N. Hasil vLGDT lebih besar 3.14% dibandingkan eksperimental.

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