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Recently, multi-source remote sensing data and their derived features such as vegetation indices, texture metrics have been frequently applied to quantitatively estimate forest above-ground biomass (AGB). However, it is still challenging to efficiently select the optimal features for modeling the forest AGB. In this study, a fast, efficient and automatic method has been proposed, called as k-nearest...
The market for cloud backup services in the personal computing environment is growing due to large volumes of valuable personal and corporate data being stored on desktops, laptops and smart phones. Source deduplication has become a mainstay of cloud backup that saves network bandwidth and reduces storage space. However, there are two challenges facing deduplication for cloud backup service clients:...
This paper proposes a Dynamic Bloom filter Array (DBA) to represent membership for variable large data sets in storage systems in a scalable way. DBA consists of dynamically created groups of space-efficient Bloom Filters (BFs) to accommodate changes in set sizes. In each group, BFs are homogeneous and the data layout is optimized at the bit level, so that they can be accessed in parallel to achieve...
Taking IGBP/GCTE terrestrial transects (NETC and CST) as study areas, the present work extracted NDVI of terrestrial eco-regions in the transects using the MODIS/16-day NDVI from 2004.04 to 2010.08, to investigate the phonological responding of different ecosystems to global changing in Northeast Asia through monitoring the pheological trends such as Onp, EndP, DurP, MaxP, MaxV and RanV from actual...
Data deduplication techniques are ideal solutions for reducing both bandwidth and storage space requirements for cloud backup services in data centers. Current data deduplication solutions rely on comparing fingerprints (hash values) of data chunks to identify redundant data and store the fingerprints on a centralized server. This approach limits the overall throughput and concurrency performance...
The low carbon development assessment can provide valid information to support decision making in regional sustainable development. With the support of forest carbon sinks information simulated from remote sensing data, the low carbon development assessment index framework of Fujian Province, China was constructed. After indices weighting by the fuzzy analytic hierarchy process (FAHP), the low carbon...
Vegetation monitoring with spectral vegetation index (VI) has made great advances over the last several decades, and numerous vegetation indexes have been developed as well. However, the monitoring accuracy with conventional VI in rugged mountains is disturbed some extent by topographic effects. This paper presents one novel topography - adjusted vegetation index (TAVI) to obtain correct vegetation...
Existing de-duplication solutions in cloud backup environment either obtain high compression ratios at the cost of heavy de-duplication overheads in terms of increased latency and reduced throughput, or maintain small de-duplication overheads at the cost of low compression ratios causing high data transmission costs, which results in a large backup window. In this paper, we present SAM, a Semantic-Aware...
Numerous vegetation indexes have been developed for assessing vegetation characteristics and are still of increasing importance in environmental application of remote sensing. However, few of them are targeted to reduce topographic effects in rugged area. A novel topography-adjusted vegetation index (TAVI) is presented in this paper by combination of near-infrared and red wavebands data with topography...
As the Memory Wall remains a bottleneck for Chip Multiprocessors (CMP), the effective management of CMP last level caches becomes of paramount importance in minimizing expensive off-chip memory accesses. For the CMPs with private last level caches, Cooperative Caching (CC) has been proposed to enable capacity sharing among private caches by spilling an evicted block from one cache to another. But...
The radio frequency spectrum is a scarce natural resource, so it is very important to use the spectrum efficiently. Cognitive radio, which can greatly improve the spectrum utilization, is able to adjust the transmit parameters according to the environment. In this paper, an adaptive multi-objective genetic algorithm is proposed to design the cognitive radio engine. In order to improve the performance...
SO2 is one of the main atmospheric pollution components, and usually used as an indicator to monitor the environmental pollution. The spatio-temporal of SO2 in urban aera provides critical information on the air quality controlling. Being the developed district of China, Zhejiang Province is a typical region suffered from air pollutions as results of human activities. In this paper, OMI SO2 column...
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