Nitrogen Management in Sugar Beet Using Remote Sensing and GIS

GIS Applications in Agriculture ◽

10.1201/9781420007718.ch2 ◽

2007 ◽

pp. 35-48 ◽

Cited By ~ 1

Author(s):

David Franzen

Keyword(s):

Remote Sensing ◽

Sugar Beet ◽

Remote Sensing And Gis ◽

Nitrogen Management

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Nitrogen Management in Sugar Beet Using Remote Sensing and GIS

GIS Applications in Agriculture ◽

10.1201/9781420007718-6 ◽

2007 ◽

pp. 47-60

Keyword(s):

Remote Sensing ◽

Sugar Beet ◽

Remote Sensing And Gis ◽

Nitrogen Management

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Improving canopy variables estimation from remote sensing data by exploiting ancillary information. Case study on sugar beet canopies

Agronomie ◽

10.1051/agro:2002008 ◽

2002 ◽

Vol 22 (2) ◽

pp. 205-215 ◽

Cited By ~ 62

Author(s):

Bruno Combal ◽

Fr�d�ric Baret ◽

Marie Weiss

Keyword(s):

Remote Sensing ◽

Sugar Beet ◽

Remote Sensing Data ◽

Sensing Data ◽

Ancillary Information

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Decision Support System for Sustainable Development of a Watersheds Using Remote Sensing and GIS

International Journal of Scientific Research ◽

10.15373/22778179/nov2013/59 ◽

2012 ◽

Vol 2 (11) ◽

pp. 185-188

Author(s):

S.P.Mehta S.P.Mehta ◽

Keyword(s):

Remote Sensing ◽

Sustainable Development ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Remote Sensing And Gis

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Enhanced early detection tools using remote sensing and GIS data fusion techniques

10.1603/ice.2016.107983 ◽

2016 ◽

Author(s):

Ryan P. Hanavan

Keyword(s):

Remote Sensing ◽

Early Detection ◽

Data Fusion ◽

Remote Sensing And Gis ◽

Gis Data

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Characterization and Evaluation of Soils of Singanallur Watershed Using Remote Sensing and GIS

International Journal of Bio-resource and Stress Management ◽

10.23910/ijbsm/2017.8.1.1746 ◽

2017 ◽

Vol 8 (1) ◽

pp. 51-56

Author(s):

R. Vasundhara ◽

◽

S. Dharumarajan ◽

Rajendra Hegde ◽

S. Srinivas ◽

...

Keyword(s):

Remote Sensing ◽

Remote Sensing And Gis

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Forest Canopy Density and ASTER DEM based Study for Dense Forest Investigation using Remote Sensing and GIS Techniques around East Singhbhum in Jharkhand, India

International Journal of Advanced Remote Sensing and GIS ◽

10.23953/cloud.ijarsg.96 ◽

2015 ◽

Vol 4 (1) ◽

pp. 1026-1032 ◽

Cited By ~ 6

Author(s):

Jai Kumar ◽

◽

Paras Talwar ◽

Krishna A.P. ◽

◽

...

Keyword(s):

Remote Sensing ◽

Forest Canopy ◽

Remote Sensing And Gis ◽

Canopy Density ◽

Gis Techniques ◽

Dense Forest ◽

Forest Canopy Density

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Comparative Morphometric Analysis of Three Watersheds of the Jhabua Region, M.P., using Remote Sensing and GIS Techniques

International Journal of Advanced Remote Sensing and GIS ◽

10.23953/cloud.ijarsg.257 ◽

2017 ◽

Vol 6 (1) ◽

pp. 2124-2134

Author(s):

Anjali Gupta ◽

◽

Punwatkar V.L. ◽

Keyword(s):

Remote Sensing ◽

Morphometric Analysis ◽

Remote Sensing And Gis ◽

Gis Techniques

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Land-Use Land-Cover Change and Its Impact on Surface Runoff using Remote Sensing and GIS

International Journal of Advanced Remote Sensing and GIS ◽

10.23953/cloud.ijarsg.237 ◽

2017 ◽

Vol 6 (1) ◽

pp. 2103-2113 ◽

Cited By ~ 1

Author(s):

Prakash C.R. ◽

◽

Sreedevi B. ◽

Keyword(s):

Remote Sensing ◽

Land Use ◽

Land Cover ◽

Land Cover Change ◽

Surface Runoff ◽

Remote Sensing And Gis ◽

Land Use Land Cover

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Geomorphic Evolution of Chambal River Origin in Madhya Pradesh using Remote Sensing and GIS

International Journal of Advanced Remote Sensing and GIS ◽

10.23953/cloud.ijarsg.127 ◽

2015 ◽

Vol 4 (1) ◽

pp. 1130-1141 ◽

Cited By ~ 3

Author(s):

Pradeepika Kaushik ◽

◽

Ghosh P. ◽

Keyword(s):

Remote Sensing ◽

Remote Sensing And Gis ◽

Madhya Pradesh ◽

Geomorphic Evolution

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Impact Assesment of Municipal Solid Waste on Ground Water Quality in and around Kapulauppada Dumpyard in GVMC using Remote Sensing and GIS Techniques

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i11.970975 ◽

2018 ◽

Vol 6 (11) ◽

pp. 970-975

Author(s):

Killana Dileep ◽

G.Jaishankar . ◽

P. Jagadeeswara Rao ◽

M. Durgadevi ◽

M.D.R Srinivas

Keyword(s):

Remote Sensing ◽

Water Quality ◽

Municipal Solid Waste ◽

Ground Water ◽

Solid Waste ◽

Remote Sensing And Gis ◽

Ground Water Quality ◽

Gis Techniques

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