• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.172-174
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• 2003

Using MODIS data and several different compositing algorithms utilizing the average cloud free days in a compositing period, maximum ndvi, or dual maximum NDVI/minimum blue, multi resolution composites (250m, 500m, 1km) have been produced for Southeast Asia, with spectral bands ranging from the visible to short-wave infrared with a single band in the thermal (for land and sea surface temperature). A total of nine composites have been produced for the months of May and August in 2003, including blue, green, red, NIR, three in the SWIR, and several to specifically monitor vegetation health.

• Korean Journal of Remote Sensing
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• v.22 no.3
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• pp.183-197
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• 2006

Combinations of visible and near-infrared (NIR) bands in an image are widely used for estimating vegetation vigor and productivity. Using this approach to understand within-field grain crop variability could allow pre-harvest estimates of yield, and might enable mapping of yield variations without use of a combine yield monitor. The objective of this study was to estimate within-field variations in crop yield using vegetation indices derived from hyperspectral images. Hyperspectral images were acquired using an aerial sensor on multiple dates during the 2003 and 2004 cropping seasons for corn and soybean fields in central Missouri. Vegetation indices, including intensity normalized red (NR), intensity normalized green (NG), normalized difference vegetation index (NDVI), green NDVI (gNDVI), and soil-adjusted vegetation index (SAVI), were derived from the images using wavelengths from 440 nm to 850 nm, with bands selected using an iterative procedure. Accuracy of yield estimation models based on these vegetation indices was assessed by comparison with combine yield monitor data. In 2003, late-season NG provided the best estimation of both corn $(r^2\;=\;0.632)$ and soybean $(r^2\;=\;0.467)$ yields. Stepwise multiple linear regression using multiple hyperspectral bands was also used to estimate yield, and explained similar amounts of yield variation. Corn yield variability was better modeled than was soybean yield variability. Remote sensing was better able to estimate yields in the 2003 season when crop growth was limited by water availability, especially on drought-prone portions of the fields. In 2004, when timely rains during the growing season provided adequate moisture across entire fields and yield variability was less, remote sensing estimates of yield were much poorer $(r^2<0.3)$.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.887-899
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• 2022

Drought caused by meteorological factors negatively affects vegetation in terrestrial ecosystems. In this study, the state in which meteorological drought affects vegetation was defined as the ecological drought of vegetation, and the ecological drought condition index of vegetation (EDCI-veg) was proposed to quantitatively monitor the degree of impact. EDCI-veg is derived from a copula-based bi-variate joint probability model between vegetation and meteorological drought information, and can be expressed numerically how affected the current vegetation condition was by the drought when the drought occurred. Comparing past meteorological drought events with their corresponding vegetation condition, the proposed index was examined, and it was confirmed that EDCI-veg could properly monitor the ecological drought of vegetation. In addition, it was possible to spatially identify ecological drought conditions by creating a high-resolution drought map using remote sensing data.

• Journal of Advanced Navigation Technology
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• v.13 no.1
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• pp.79-86
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• 2009

As information communication technology developed we could monitor temperature, weather, indoor and outdoor status which we need to monitor using various sensors. Even further we could monitor our body such as Sa02 and serologic chemical tests easily at home or office. It is possible though interlocking the house medical instrument with the wireless public data network. Data from sensors can be transmitted to the distant control room and will be essentially applied through wireless public data network. In this study we measured various sensor data for the telemetry in one system. The sensing items are mainly focused on the static and dynamic behaviors of the bridge, building, instruments. The study suggests the transmit system model utilized by the wireless public data network. The suggestion in the study of telemetry system provides movement and preservation. And it will exam various condition in distance or at home.

• Proceedings of the KSRS Conference
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• 1998.09a
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• pp.242-245
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• 1998

Interferometric Monitor for Greenhouse Gases (IMG) is a sensor to monitor the earth's radiation balance, the temperature profile of the atmosphere, the temperature of the earth's surface, and physical properties of clouds, and was loaded on ADEOS satellite. In this paper, we estimated IMG level 2 data by comparing with a Clobal Telecommunications System data (GTS). The IMG level 2 data over sea without cloud cover gave good agreement with the value that had been obtained by buoy and sonde.

• Proceedings of the KSRS Conference
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• 1998.09a
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• pp.268-273
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• 1998

This study applies an on-line system, which employes an adaptive reconstruction technique to monitor and forecast ocean surface changes. The system adaptively generates an appropriate synthetic time series with recovering missing measurements for sequential images. The reconstruction method incorporates temporal variation according to physical properties of targets and anisotropic spatial optical properties into image processing techniques. This adaptive approach allows successive refinement of the structure of objects that are barely detectable in the observed series. The system sequentially collects the estimated results from the adaptive reconstruction and then statistically analyzes them to monitor and forecast the change in surface characteristics.

• Journal of the Society of Naval Architects of Korea
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• v.47 no.5
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• pp.751-756
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• 2010

The rapid growth of IT technology has enabled ship automation systems to gain better functionality and safety with reduced costs and crew numbers. Nowadays, the remote maintenance services for the systems are required because a ship may be located in a very remote area. To provide the remote maintenance services, some issues such as how to collect the ship automation systems data, how to monitor a ship's data from onshore offices, how to get support from experts while sailing, and how to reduce the maintenance costs, should be addressed. In this paper, we propose a remote ship maintenance system for remote monitoring and diagnostics of ship automation systems, which is based on both a ship area network to integrate separate system networks and a ship-shore communication infrastructure to support a remote access using satellite communications. Finally, we present the function test to verify the applicability of the proposed system.

• Proceedings of the KIPE Conference
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• 2000.07a
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• pp.744-747
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• 2000

This paper aims at developing remote control system to control and monitor distribute various devices through internet or information communication network. So far for managing UPS(Uninterruptible Power Supply) serial communication system has been used. This paper proposes managing method of UPS monitoring using SNMP. It consists of SNMP agent network board SNMP manager PC software serial communication software and UPS. The proposed method can be applied to various devices with communication network remotely.

• Proceedings of the Safety Management and Science Conference
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• 1999.11a
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• pp.183-189
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• 1999

Nowadays advanced manufacturing companies are trying to find a way to check the performance of their production equipments and plants from remote sites. However, it is hard to monitor the status of machine or to check the performance of the processes because the regional limitation of distributed environment. This paper presents research results in the real time monitoring of machining processes and internet_based operation of machining centers via internet, which is implemented using VRML and JAVA.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2109-2111
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• 2003

In this paper, It is studied to monitor the remote system status using HTTP(HyperText Transfer Protocol) object communication. This system is organized by three different part depending on functionality - server part, client part, controller part. The JAVA technology is used to composite the server part, the client part and C language is used for a controller.