A two-step optimization procedure for assessing water constituent concentrations by hyperspectral remote sensing techniques: An application to the highly turbid Venice lagoon waters

Soil Organic Matter Estimation Using Hyperspectral Remote Sensing Techniques in a Water-Level-Fluctuating Zone Around Guanting Reservoir, Beijing, China

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2019.8900049 ◽

2019 ◽

Author(s):

Zhaoning Gong ◽

Qiwei Wang ◽

Cheng Zhang ◽

Hongliang Guan

Keyword(s):

Remote Sensing ◽

Organic Matter ◽

Soil Organic Matter ◽

Water Level ◽

Guanting Reservoir ◽

Beijing China

Estimation of grassland CO2 exchange rates using hyperspectral remote sensing techniques

International Journal of Remote Sensing ◽

10.1080/01431160701253220 ◽

2008 ◽

Vol 29 (1) ◽

pp. 145-155 ◽

Cited By ~ 14

Author(s):

S. C. Black ◽

X. Guo

Keyword(s):

Remote Sensing ◽

Exchange Rates ◽

Co2 Exchange ◽

17th International Multidisciplinary Scientific GeoConference SGEM2017, Water Resources. Forest, Marine and Ocean Ecosystems ◽

ASSESSING DIFFERENT WATER QUALITY PARAMETERS IN THE RIVER SAVA USING AIRBORNE HYPERSPECTRAL REMOTE SENSING TECHNIQUES

10.5593/sgem2017/31/s12.006 ◽

2017 ◽

Author(s):

Mak Kisevic

Keyword(s):

Remote Sensing ◽

Water Quality ◽

Quality Parameters ◽

Water Quality Parameters ◽

A study on detecting the poppy field using hyperspectral remote sensing techniques

2012 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2012.6352532 ◽

2012 ◽

Cited By ~ 2

Author(s):

Akihiro Nakazawa ◽

Jong-Hwan Kim ◽

Takuji Mitani ◽

Shinya Odagawa ◽

Tomomi Takeda ◽

...

Keyword(s):

Remote Sensing ◽

Spatial Modeling in Forest Resources Management - Environmental Science and Engineering ◽

Forest Health Monitoring using Hyperspectral Remote Sensing Techniques

10.1007/978-3-030-56542-8_10 ◽

2020 ◽

pp. 239-257

Author(s):

Narayan Kayet

Keyword(s):

Remote Sensing ◽

Health Monitoring ◽

Forest Health ◽

Forest Health Monitoring ◽

Using hyperspectral remote sensing techniques to monitor nitrogen, phosphorus, sulphur and potassium in wheat (Triticum aestivum L.)

Precision Agriculture ◽

10.1007/s11119-014-9348-7 ◽

2014 ◽

Vol 15 (5) ◽

pp. 499-522 ◽

Cited By ~ 44

Author(s):

G. R. Mahajan ◽

R. N. Sahoo ◽

R. N. Pandey ◽

V. K. Gupta ◽

Dinesh Kumar

Keyword(s):

Remote Sensing ◽

Triticum Aestivum ◽

Triticum Aestivum L ◽

Nitrogen Phosphorus

Hyperspectral remote sensing techniques for locating geothermal areas

10.1117/12.855444 ◽

2010 ◽

Cited By ~ 3

Author(s):

Karen L. Jones ◽

Nielson W. Schulenburg ◽

Conrad Wright

Keyword(s):

Remote Sensing ◽

The application of multi- and hyperspectral remote sensing techniques in the assessment of stress factors in maize crops

Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie ◽

10.4102/satnt.v33i1.1212 ◽

2014 ◽

Vol 33 (1) ◽

Author(s):

J.F. Vermeulen

Keyword(s):

Remote Sensing ◽

Stress Factors ◽

Assessment Of Stress

A 10-Year Assessment of Hemlock Decline in the Catskill Mountain Region of New York State Using Hyperspectral Remote Sensing Techniques

Journal of Economic Entomology ◽

10.1093/jee/tou015 ◽

2015 ◽

Vol 108 (1) ◽

pp. 339-349 ◽

Cited By ~ 11

Author(s):

R. P. Hanavan ◽

J. Pontius ◽

R. Hallett

Keyword(s):

Remote Sensing ◽

New York ◽

New York State ◽

Mountain Region ◽

York State ◽

Hemlock Decline ◽

Forecasting potential bark beetle outbreaks based on spruce forest vitality using hyperspectral remote-sensing techniques at different scales

Forest Ecology and Management ◽

10.1016/j.foreco.2013.07.043 ◽

2013 ◽

Vol 308 ◽

pp. 76-89 ◽

Cited By ~ 54

Author(s):

A. Lausch ◽

M. Heurich ◽

D. Gordalla ◽

H.-J. Dobner ◽

S. Gwillym-Margianto ◽

...

Keyword(s):

Remote Sensing ◽

Bark Beetle ◽

Spruce Forest ◽

Forest Vitality