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Intelligent identification of black tea fermentation quality is becoming a bottleneck to industrial automation. This study presents at-line rapid detection of black tea fermentation quality at industr...
Process-based terrestrial ecosystem models are increasingly being used to predict carbon (C) cycling in forest ecosystems. Given the complexity of ecosystems, these models inevitably have certain defi...
Currently, geospatial datasets are produced in various models and formats in accordance with the spatial scale of the real world such as ground/ surface/underground or indoor/outdoor. The location-bas...
GROUNDING LINES DETECTING USING LANDSAT8 OLI AND CRYOSAT-2 DATA FUSION     Grounding line  Landsat8 OLI  Cryosat-2  K-means  Slope  Merge       font style='font-size:12px;'> 2018/5/14
The grounding zone is the region where ice transitions from grounded ice sheet to freely floating ice shelf, grounding lines are actually more of a zone, typically over several kilometers. The mass lo...
Technological improvements made in recent years of mass data gathering and analyzing, influenced the traditional methods of updating and forming of the national topographic database. It has brought a ...
Wetlands provide a number of environmental and socio-economic benefits such as their ability to store floodwaters and improve water quality, providing habitats for wildlife and supporting biodiversity...
Vegetation is an important part of the terrestrial ecosystem. It plays an important role in the energy and material exchange of the ground-atmosphere system and is a key part of the global carbon cycl...
Remote sensing data fusion has been playing a more and more important role in crop planting area monitoring, especially for crop area information acquisition. Multi-temporal data and multi-spectral ti...
In this study, three documented spatiotemporal data fusion models were applied to Landsat-7 and MODIS surface reflectance, and NDVI. The algorithms included the spatial and temporal adaptive reflectan...
The inconsistency between the freely available remote sensing datasets and crowd-sourced data from the resolution perspective forms a big challenge in the context of data fusion. In classical classifi...
With increasing amounts of data collected from satellite, airborne, and ground based imaging systems, image and data fusion techniques are gaining more and more importance. By the integration of multi...
The recent technological advances in computer and communication technologies have been fostering an enormous growth in the number of smart objects available for usage. The integration of these smart o...
With increasing amounts of data collected from satellite, airborne, and ground based imaging systems, image and data fusion techniques are gaining more and more importance. By the integration of multi...
LiDAR technology has become one of the major remote sensing methods in the last few years. There are several areas, where the scanned 3D point clouds can be used very efficiently. In our study we revi...
Performance monitoring of data fusion system of geo-coded multisensor involves monitoring the activity of the system,making management decisions and performing maintenance actions to reduce the influe...

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