نتایج جستجو برای: multi temporal remotely sensed data

تعداد نتایج: 2938409  

2014
M. Verma M. A. Friedl A. D. Richardson G. Kiely A. Cescatti B. E. Law G. Wohlfahrt B. Gielen O. Roupsard E. J. Moors P. Toscano F. P. Vaccari D. Gianelle G. Bohrer A. Varlagin N. Buchmann E. van Gorsel L. Montagnani P. Propastin

Gross primary productivity (GPP) is the largest and most variable component of the global terrestrial carbon cycle. Repeatable and accurate monitoring of terrestrial GPP is therefore critical for quantifying dynamics in regional-to-global carbon budgets. Remote sensing provides high frequency observations of terrestrial ecosystems and is widely used to monitor and model spatiotemporal variabili...

Journal: :The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2013

Journal: :Geospatial health 2015
Sabelo Nick Dlamini Jonas Franke Penelope Vounatsou

Many entomological studies have analyzed remotely sensed data to assess the relationship between malaria vector distribution and the associated environmental factors. However, the high cost of remotely sensed products with high spatial resolution has often resulted in analyses being conducted at coarse scales using open-source, archived remotely sensed data. In the present study, spatial predic...

2004
M. Cetin T. Kavzoglu N. Musaoglu

The thematic maps derived from remotely-sensed images are invaluable sources of information for various investigations since they provide spatial and temporal information about the nature of Earth surface materials and objects. The robustness of classification techniques used to produce these thematic maps can be crucial especially for complex classification problems. This study aims to determi...

2014
M. Verma M. A. Friedl A. D. Richardson G. Kiely A. Cescatti B. E. Law G. Wohlfahrt B. Gielen O. Roupsard E. J. Moors P. Toscano F. P. Vaccari D. Gianelle G. Bohrer A. Varlagin N. Buchmann E. van Gorsel L. Montagnani

Gross primary productivity (GPP) is the largest and most variable component of the global terrestrial carbon cycle. Repeatable and accurate monitoring of terrestrial GPP is therefore critical for quantifying dynamics in regional-to-global carbon budgets. Remote sensing provides high frequency observations of terrestrial ecosystems and is widely used to monitor and model spatiotemporal variabili...

2016
Francis A. Roesch

The efficiency of national forest monitoring efforts can be increased by the judicious incorporation of ancillary data. For instance, a fixed number of ground plots might be used to inform a larger set of annual estimates by observing a smaller proportion of the plots each year while augmenting each annual estimate with ancillary data in order to reduce overall costs while maintaining a desired...

Journal: :The Egyptian Journal of Remote Sensing and Space Science 2016

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