Remote Sensing Time Series
Estimating spatially distributed soil texture using time series of thermal remote sensing – a case study in central Europe
... The remote sensing time series then is processed for reaching 15 m resolution geo-referenced top-of-atmosphere (TOA) temperatures (see Müller et ...the time series with ...
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A Rapid Extraction Method for Regional- Scale
... Crop Drought Area Extraction Based On Remote Sensing Time Series. 751[r] ...
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Time Series Study of Rhino Habitat and its Impact on Rhino Population in Gorumara National Park through Remote Sensing Technology
... using Remote Sensing Technology will be an extremely useful tool for the Park Manager to plan and organize the habitat manipulation activities to facilitate sustenance and growth of Rhino till it attains ...
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Investigating the long-term evolution of subtropical ozone profiles applying ground-based FTIR spectrometry
... profile time series it is important to consider that trends in the sensitivity of the remote-sensing system (avks or DOFS) can influ- ence the ozone trend: decreasing DOFS might underestimate ...
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Towards understanding the dynamic behaviour of floodplains as human water systems
... long time series of hy- drological and social data, along with remote sensing data, can be used to observe floodplain dynamics from unconven- tional approaches, and understand the complex ...
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Studying snow cover in European Russia with the use of remote sensing methods
... A complete time series of radiometer data from 1978 to 2010 was acquired from the National Snow and Ice Data Center (NSIDC) in Boulder, Colorado, USA. For the years 1978–1987, the Scanning Multichannel ...
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Remote sensing of mangrove forest phenology and its environmental drivers
... To date there has been no characterisation of mangrove forests phenology using remote sensing data... In this paper, we estimate and map phenological metrics from time-series of medium r[r] ...
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Response of ice cover on shallow lakes of the North Slope of Alaska to contemporary climate conditions (1950–2011): radar remote-sensing and numerical modeling data analysis
... yr time series of European remote sensing satellite ERS-1/2 synthetic aper- ture radar (SAR) data and a numerical lake ice model were employed to determine the response of ice cover ...
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Improving operational land surface model canopy evapotranspiration in Africa using a direct remote sensing approach
... direct remote sensing approach and National Centers for Environ- mental Prediction, Oregon State University, Air Force, and Hydrology Research Laboratory at National Weather Ser- vice (NOAH) LSM (Chen et ...
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Role of Remote Sensing and Geographic Information System (GIS) in Disaster Management in Arunachal Pradesh: a Case Study of Landslides in Itanagar Capital Complex
... Remote sensing (RS) and Geographic information system (GIS) are recognized as one of the most important tool for disaster management in Arunachal ...using remote sensing and ...classification, ...
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Remote sensing classification method of vegetation dynamics based on time series Landsat image: a case of opencast mining area in China
... image time-series analysis can improve the accuracy of information extraction ...a time series and pro- posed the Landsat time-series stacks-vegetation change tracker algorithm ...
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A Parallel and Distributed Approach to the Analysis of Time Series on Remote Sensing Big Data
... Table I presents the overall accuracy of SP-TWDTW with the Kriging, IDW, and Nearest Neigh- bor(NN) spatial interpolation methods. Overall accuracy (OA) is simply the proportion of the area mapped correctly. It provides ...
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Remote sensing based time series models for malaria early warning in the highlands of Ethiopia
... Although this study has practical utility towards devel- oping a malaria early-warning system, several limitations should be noted. First, the current models include only remotely sensed environmental indicators. ...
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Identification of catchment functional units by time series of thermal remote sensing images
... throughout time, persist to a certain degree and hence provide information on the local organization of land surface energy and water balance within the full ...the time series and hence sever ...
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Options for monitoring and estimating historical carbon emissions from forest degradation in the context of REDD+
... Remote sensing methods to measure degradation Measurement and monitoring of the area affected by for- est degradation through remote sensing offers a series of advantages: i) it ...
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Spatial and Temporal Variability of Moisture Condition in Soil-Plant Environmet using Spectral Data and GIS Tools
... of remote sensing techniques in the analyses of droughts is based mainly on employ- ing spectral indicators for determining the condi- tion of the vegetation (vegetation health) [Nico- lai-Shaw et ...
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A Review of Geological Applications of High-spatial- resolution Remote Sensing Data
... (HR) remote sensing (RS) data for many diverse applications as they effectively reflect detailed geological information, enabling high-quality and efficient geological ...optical remote ...
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Analysis of the Positive Effect from the Typhoon Saomai to the Hydrothermal Environment of Shanghai
... satellite remote sensing data meas- ured are unable to solve both from scale and resolution and capacity for Shang- hai, and Shanghai is only one site soil moisture observation that cannot fully represent ...
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Online Full Text
... with remote sensing. Data of remote sensing is often known as multispectral data, that is the sets of data obtained simultaneously, but each set obtained by sensing a different part of ...
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Satellite remote sensing of ecosystem functions: opportunities, challenges and way forward
... and remote sensing expertise (see ...via remote sensing could then be systematically identified, focussing on user needs, and gaps in monitoring capacity priori- ...
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