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This is a preliminary study on monitoring farmland by using remote sensing and GIS in Shanxi, China.
This is executed by using remote sensing data, individual-based models, as well as geoinformation systems (GIS) techniques and statistical procedures.
This study analyzes urban expansion and spatial restructuring of land use patterns in the Pearl River Delta of south China by using remote sensing and GIS.
Efforts have been made to evaluate the technique as a fast algorithm for quick and time limited analysis of linear feature from which the orientation of the lineaments are estimated by using remote sensing data.
In this context, the first objective of this study is to propose a new approach to estimate the C factor by using remote sensing and GIS techniques with previous studies based on experimental studies conducted on field.
The present investigation not only designed and realized the Ensemble Kaiman Filtering algorithm (EnKF) assimilation by combing the crop growth model (CERES-Wheat) with remote sensing data, but also optimized and updated the key parameters (LAI) of winter wheat by using remote sensing data.
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Additional information about land and trees within forest estates was obtained by companies using remote sensing technologies.
Quantitative estimates of forest carbon stock change are obtained by modelling AGB using remote sensing as input, or using a quantifiable proxy, such as a change in canopy height or tracking of forest successional stage.
Land use structure was optimized by multi-objective programming, using remote sensing (RS) and geographical information system (GIS) techniques, analytic hierarchical programming (AHP) and expert consultancy.
Recently, lunar water has been detected by a few lunar missions using remote sensing techniques.
The workshop will develop national capacities in using the FRA 2020 Remote Sensing methodology through a learning-by-doing training session on data collection, using remote sensing tools specifically developed for this purpose.
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