نتایج جستجو برای: multi temporal remotely sensed data
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Several ecosystems have been significantly altered by anthropogenic nitrogen inputs. The timely estimation of concentration is essential for ensuring environmental sustainability. Academic publications between 1966 and 2016 were reviewed to assess the potential remotely sensed information estimate concentrations various applications. A discriminatory keyword search a set inclusion criteria was ...
An Ensemble Kalman filter (EnKF) is used to assimilate airborne measurements of 1.4 GHz surface brightness temperature ðTBÞ acquired during the 1997 Southern Great Plains Hydrology Experiment (SGP97) into the TOPMODEL-based Land–Atmosphere Transfer Scheme (TOPLATS). In this way, the potential of using EnKF-assimilated remote measurements of TB to compensate land surface model predictions for er...
Evapotranspiration (ET) represents crop water use and is a key indicator of health. Accurate estimation ET critical for agricultural irrigation resource management. retrieval using energy balance methods with remotely sensed thermal infrared data as the input has been widely applied scheduling, yield prediction, drought monitoring so on. However, limitations on spatial temporal resolution avail...
Fuel moisture content (FMC) is used in forest fire danger models to characterise the moisture status of the foliage. FMC expresses the amount of water in a leaf relative to the amount of dry matter and differs from measures of leaf water content which express the amount of water in a leaf relative to its area. FMC is related to both leaf water content and leaf dry matter content, and the relati...
Techniques based on multi-temporal, multi-spectral and satellitesensor have demonstrated potential as a means to detect, identify, map and monitor ecosystem changes. Multi-temporal images processing becomes more and more important in monitoring earth surface. The large collection of past and present remote sensing imagery makes it possible to analyze spatio-temporal and spectrotemporal pattern ...
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