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76篇 您的检索式：作者名="Mutanga"

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	题名	作者	年代	出处	被引量
1	Estimating and mapping grass phos phorus concentration in an African savanna using hyperspectral image data显示文摘	Mutanga O Kumar L	2007	International Journal of Remote Sensing2007，28，21：	1
2	Hyperspectral band depth analysis for a better estimation of grass biomass (Cenchrus ciliaris) measured under controlled laboratory conditions显示文摘	Onisimo Mutanga Andrew K Skidmore	2004	International Journal of Applied Earth Observation and Geoinformation2004，5，：	1
3	Integrating imaging spectroscopy and neural networks to map grass quality in the Kruger National Park,South Africa 显示文摘	Mutanga O Skidmore A K	2004	Remote Sensing of Environment2004，90，1：	1
4	Discrimination tropical grass (Cenchrus ciliaris) canopies grown under different nitrogen treatment using spectroradiometry显示文摘	Mutanga O Skidmore A K Wieren S	2003	Isprs J Photogramm2003，57，：	1
5	Potential utility of the spectral red-edge region of SumbandilaSat imagery for assessing indigenous forest structure and health显示文摘	Cho M A Debba P Mutanga O	2012	International Journal of Applied Earth Observation and Geoinformation2012，16，：	1
6	Predicting in situ pasture quality in the Kruger National Park, South Africa u sing continuum removed absorption features显示文摘	Mutanga O Skidmore A K Prins H H T	2004	Remote Sens ing of Environment2004，89，3：	1
7	Narrow band vegetation indices overcome the saturation problem in biomass esti- mation 显示文摘	Mutanga O Skidmore A K	2004	International Journal of Remote Sensing2004，25，19：	1
8	Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation:A review显示文摘	ADAM E MUTANGA O RUGEGE D	2010	Wetlands Ecology and Management2010，18，3：	1
9	Red edge shift and biochemical content in grass canopies显示文摘	MUTANGA O SKIDMORE A K		0，，62：	1
10	Discriminating tropical grass (Cenchrus ciliaris) canopies grown under different nitrogen treatments using spectroradiometry显示文摘	Mutanga O Skidmore A K Wieren S V	2003	Journal of Photogrammetry and Remote Sensing2003，57，4：	1
11	Red edge shift and biochemical content in grass canopies显示文摘	Mutanga O Skidmore A K	2007	ISPRS Journal of Photogrammetry and Remote Sensing2007，62，1：	1
12	Hyperspectral band depth analysis for a better estimation of grass biomass(Cenchrusciliaris)measured under controlled laboratory conditions显示文摘	Mutanga O Skidmore A K	2004	International Journal of Applied Earth Observation and Geoinformation2004，5，2：	1
13	Hyperspectral band depth analysis for a better estimation of grass biomass (Cenchrus ciliaris) measured under controlled laboratory conditions显示文摘	Mutanga O Skidmore A K	2004	International Journal of Applied Earth Observation and Geoinformation2004，5，2：	1
14	Predicting in situ pasture quality in the Kruger National Park, South Africa using continuum removed absorption features显示文摘	Mutanga O Skidmore A K Prins H H T	2004	Remote Sensing of Environment2004，89，3：	1
15	Multispectral and Hyper Spectral Remote Sensing for Identification and Mapping of Wetland Vegetation a Review 显示文摘	Adam E Mutanga O Rugege D	2010	Wetlands Ecology and Management2010，18，3：	1
16	Detect-ing Sirex noctilio grey-attacked and lightning-struck pine trees u- sing airborne hyperspectral data, random forest and sup- port vector machines classifiers 显示文摘	Abdel-Rahman EM Mutanga O	2014	ISPRS Journal of Photo grammetry and Remote Sensing2014，88，：	1
17	Red edge shift and biochemical content in grass canopies 显示文摘	MUTANGA O SKIDMORE A K	2007	ISPRS Journal of Photogrammetry and Remote Sensing2007，62，1：	1
18	Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review显示文摘	Elhadi Adam Onisimo Mutanga Denis Rugege	2010	Wetlands Ecology and Management2010，，3：	1
19	Narrow band vegetation indices solve the saturation problem in biomass estimation显示文摘	Mutanga O Skidmore A K	2004	International Journal of Remote Sensing2004，25，：	1
20	Discriminating Indi cator Grass Species for Rangeland Degradation Assessment Using Hyperspectrai Data Resampled to AISA Eagle Resolu- tion显示文摘	Mansour K Mutanga O Everson T et a l	2012	ISPRS Journal of Photogrammetry and Remote Sens- ing2012，70，：	1

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