منابع مشابه
From Global Earth Observation System of Systems (geoss) to Intelligent Earth Observing Satellite System (fieoss) for Its Social Benefit
This paper presents the deep understanding to Earth system, including its energy, agriculture, natural resources, ecosystems, geodynamics, and natural and human-induced hazards, atmosphere, weather, climate, water, oceans, land,. At present, researchers and developers have endeavored to develop the global earth observation system of systems (GEOSS) and web-based (future) intelligent earth obser...
متن کاملGlobal Earth Observation System of Systems (GEOSS)
What is requested? The Group on Earth Observations (GEO) was established in July 2003 to begin development of the Global Earth Observation System of Systems (GEOSS). GEO is an international partnership espousing the free exchange of Earth observational data. The US participates in GEO and GEOSS through the Interagency Working Group on Earth Observations (IWGEO), a collection of 15 Federal agenc...
متن کاملScheduling a constellation of agile earth observation satellites with preemption
In this paper, we consider a scheduling problem for a set of agile Earth observation satellites for scanning different parts of the Earth’s surface. We assume that preemption is allowed to prevent repetitive images and develop four different preemption policies. Scheduling is done for the imaging time window and transmission time domain to the Earth stations as well. The value of each picture ...
متن کاملOptimized Filtering and Compression System for an Earth Observation Satellite
Most earth observation satellites in their daily image processing routine operate using the “store and forward” mechanism; this mode of operation is not efficient due to the huge amount of data that has to be stored on-board the satellite (but cannot due to memory constraints). The Cape Peninsula University of Technology (CPUT) 3U CubeSat named ZACUBE-02 will perform the filtering and compressi...
متن کاملAn Earth Observation Land Data Assimilation System ( EO - LDAS )
20 Current methods for estimating vegetation parameters are generally sub-optimal in the way they 21 exploit information and do not generally track uncertainties. We look forward in the future to 22 operational data assimilation schemes to track land surface processes and exploit multiple types of 23 observation. Data assimilation schemes seek to combine observations and models in a statistical...
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ژورنال
عنوان ژورنال: Journal of the Japan Society for Aeronautical and Space Sciences
سال: 1988
ISSN: 0021-4663
DOI: 10.2322/jjsass1969.36.2