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Showing 9 out of a total of 9 results.
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Mapping beech (Fagus sylvatica L.) forest structure with airborne hyperspectral imagery
Cho, Moses A
;
Skidmore, AK
;
Sobhan, I
(
Elsevier
,
2009-06
)
Towards regional mapping of grass nutrients using remote sensing in Greater Kruger National Park
Ramoelo, Abel
;
Skidmore, AK
;
Cho, Moses A
;
Mathieu, Renaud SA
;
Schlerf, M
;
Heitkonig, I
;
Prins, HHT
(
2011-03
)
Estimating grass nutrients and biomass as an indicator of rangeland (forage) quality and quantity using remote sensing in Savanna ecosystems
Ramoelo, Abel
;
Cho, Moses A
;
Mathieu, Renaud SA
;
Skidmore, AK
;
Schlerf, M
;
Heitkönig, IMA
(
2012-10
)
Hyperspectral remote sensing techniques for grass nutrient estimations in savannah ecosystems
Ramoelo, Abel
;
Cho, Moses A
;
Mathieu, Renaud SA
;
Skidmore, AK
;
Scherf, M
;
Heitkonig, I
;
Prins, HHT
;
Asner, G
(
2010-03
)
Hyperspectral predictors for monitoring biomass production in Mediterranean mountain grasslands: Majella national park, Italy
Cho, Moses A
;
Skidmore, AK
(
Taylor & Francis
,
2009-01
)
The potential of Sentinel-2 spectral configuration to assess rangeland quality
Ramoelo, Abel
;
Cho, Moses A
;
Mathieu, Renaud SA
;
Skidmore, AK
(
SPIE
,
2015-08
)
Regional estimation of savanna grass nitrogen using the red-edge band of the RapidEye sensor
Ramoelo, Abel
;
Skidmore, AK
;
Cho, Moses A
;
Schlerf, M
;
Mathieu, Renaud SA
;
Heitkönig, IMA
(
Elsevier
,
2012-10
)
Non-linear partial least square regression increases the estimation accuracy of grass nitrogen and phosphorus using in situ hyperspectral and environmental data
Ramoelo, Abel
;
Skidmore, AK
;
Cho, Moses A
;
Mathieu, Renaud SA
;
Heitkönig, IMA
;
Dudeni-Tlhone, N
;
Schlerf, M
;
Prins, HHT
(
Elsevier
,
2013-06
)
Integrating environmental and in situ hyperspectral remote sensing variables for grass nitrogen estimation in savannah ecosystems
Ramoelo, Abel
;
Cho, Moses A
;
Mathieu, Renaud SA
;
Skidmore, AK
;
Schlerf, M
;
Heitkonig, IMA
;
Prins, HHT
(
2011-04
)
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