NDLI: Implementation and analysis of remote sensing payload nanosattelite for deforestation monitoring in Indonesian forest

Content Provider	IEEE Xplore Digital Library
Author	Edwar Murti, M.A.
Copyright Year	2013
Description	Author affiliation: Electr. Eng. of Electron. & Commun. Fac, Telkom Inst. of Technol., Bandung, Indonesia (Murti, M.A.) \|\| Telecommun. Eng. of Electron. & Commun. Fac, Telkom Inst. of Technol., Bandung, Indonesia (Edwar)
Abstract	Nanosatellite is one type of artificial satellites are relatively small and lightweight mass, between 1 kg - 10 kg. Nanosatellite can be programmed to perform shared mission, one of which is for remote sensing. Remote sensing can be used for many purposes like to learn growth of a region, to create maps, to check weather condition, astronomy monitoring and etc. One of the remote sensing purposes that use in this research is for forest monitoring. Forest area in Indonesia is 120,084,434.79 Ha. To support this mission, need an imaging payload which is equipped with a camera to take the pictures of the object and a microcontroller to process the images before transmitted to the earth station. CAM130 cameras with OV9650 sensor was chosen because it has low prices and small power, so CAM130 is suited with nanosatellite environtment. For microcontroller-based, mini2440 with Samsung S3C2440A processor is selected to process the image. CAM130 and mini2440 this produces an image area coverage of 305.38 km and 240.81 km km based on testing on a map scale. The ability to take pictures and send them relatively quick 2.2 seconds to 3.2 seconds. Remote sensing payload has a total mass of 82.79 grams. CAM130 camera module has dimensions of 3.5 cm × 2.1 cm and mini2440 has dimensions 10 cm × 10 cm. Power consumption of 823 428 mW when the camera is active. The end result of a prototype imaging system for monitoring payload on nanosatelit deforestation in forests in Indonesia in the form of mini-plan map scale 1: 80000 cm.
Sponsorship	IEEE Aerosp. Electron. Syst. Soc.
Starting Page	185
Ending Page	189
File Size	807393
Page Count	5
File Format	PDF
ISBN	9781467363952
e-ISBN	9781467363969
DOI	10.1109/RAST.2013.6581197
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-12
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Microcontrollers SAMSUNG S3C2440A CAM130 RNA imaging payload Nanosatelit Cameras Optical imaging CMOS integrated circuits Sensors Monitoring
Content Type	Text
Resource Type	Article

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