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Vivek Kumar Ojha (5 results)
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Application of Remote Sensing in Vegetation
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 365943955X ISBN 13: 9783659439551
Condition: New. pp. 56.
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Application of Remote Sensing in Vegetation
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 365943955X ISBN 13: 9783659439551
Condition: New. Print on Demand pp. 56 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
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Application of Remote Sensing in Vegetation
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013
ISBN 10: 365943955X ISBN 13: 9783659439551
Condition: New. PRINT ON DEMAND pp. 56.
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Application of remote sensing in vegetation: a case study
Language: English
Published by LAP LAMBERT Academic Publishing, 2013
ISBN 10: 365943955X ISBN 13: 9783659439551
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ojha Vivek KumarMr. Vivek K. Ojha is an environmental professional, have obtained M.Sc. (Tech) degree in Environmental Science and Technology from Banaras Hindu University (BHU) in 2011. Under the roof of National Environmental Engin.
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Application of remote sensing in vegetation: a case study
Language: English
Published by LAP Lambert Academic Publishing, 2013
ISBN 10: 365943955X ISBN 13: 9783659439551
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Application of Remote Sensing in Vegetation: A Practical Insight. Pioneer application of remote sensing in different regime of science clearly sketched a linear path to absorb desirable of any needful without any hurdle. However, the vulnerability of vegetation due to climate change is assuring to monitor change occurs in their wide ranges of temporal scale over large area through application of remote sensing. In this technological era, existing physical interaction in fenced width with updated satellite sensors is reflecting a good amount of wealth which can lucidly explain the existing vegetation status in that regime within a particular time while extraction of empirical vegetation indices from these sensor data surcharges the desirable results.
