Integrating remote sensing and spatial statistics to model herbaceous biomass distribution in a tropical savanna

References

• Acharya , B. 1999 . “ Forest biodiversity assessment: a spatial analysis of tree species diversity in Nepal. ” . PhD thesis, ITC‐Wageningen, the Netherlands
   Google Scholar
• Atkinson , P. M. , Webster , R. and Curran , P. J. 1992 . Cokriging with ground‐based radiometry. . Remote Sensing of Environment , 41 : 45 – 60 .
   Web of Science ®Google Scholar
• Atkinson , P. M. , Webster , R. and Curran , P. J. 1994 . Cokriging with airborne mass imagery. . Remote Sensing of Environment , 50 : 335 – 345 .
   Web of Science ®Google Scholar
• Blackburn , G. A. and Pitman , J. I. 1999 . Biophysical controls on the directional spectral reflectance properties of bracken (Pteridium aquilinum) canopies: results of a field experiment. . International Journal of Remote Sensing , 20 : 2265 – 2282 .
   Web of Science ®Google Scholar
• Burrough , P. A. and McDonnell , R. A. 1998 . Principles of Geographic Information Systems , New York : Oxford University Press .
   Google Scholar
• Curran , P. J. , Dungan , J. L. and Peterson , D. L. 2001 . Estimating the foliar biochemical concentration of leaves with reflectance spectrometry: testing the Kokaly and Clark methodologies. . Remote Sensing of Environment , 76 : 349 – 359 .
   Web of Science ®Google Scholar
• Drent , R. H. and Prins , H. H. T. 1987 . “ The herbivore as prisoner of its food supply. ” . In Disturbance in Grasslands: Species and population responses , Edited by: Andel , J. V , Bakker , J and Snaydon , R. W . 133 – 149 . Dordrecht : Dr. W. Junk .
   Google Scholar
• Duncan , J. L. Geostatistical approaches for spatial estimation of vegetation quantities using ground and image data. Proceedings of the 21st Annual Conference of the Remote Sensing Society , pp. 947 – 954 .
   Google Scholar
• Dutilleul , P. 1993 . Modifying the t test for assessing the correlation between two spatial processes. . Biometrics , 49 : 305 – 314 .
   Web of Science ®Google Scholar
• Fensholt , R. and Sandholt , I. 2003 . Derivation of a shortwave infrared water stress index from MODIS near and shortwave infrared data in a semi arid environment. . Remote Sensing of Environment , 87 : 111 – 121 .
   Web of Science ®Google Scholar
• Filella , I. and Penuelas , J. 1994 . The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. . International Journal of Remote Sensing , 15 : 1459 – 1470 .
   Web of Science ®Google Scholar
• Franklin , J. , Prince , S. D. , Strahler , A. H. , Hanan , N. P. and Simonett , D. S. 1991 . Reflectance and transmission properties of west African savanna trees from ground radiometer measurements. . International Journal of Remote Sensing , 12 : 1369 – 1385 .
   Web of Science ®Google Scholar
• Grant , C. C. , Davidson , T. , Funston , P. J. and Pienaar , D. J. 2002 . Challenges faced in the conservation of rare antelope: a case study on the Northern basalt plains of the Kruger National Park. . Koedoe , 45 : 1 – 22 .
   Google Scholar
• Hudak , A. T. and Brockett , B. H. 2004 . Mapping fire scars in a southern African savannah using Landsat imagery. . International Journal of Remote Sensing , 25 : 3231 – 3243 .
   Web of Science ®Google Scholar
• Hudak , A. T. , Lefsky , M. A. , Cohen , W. B. and Berterretche , M. 2002 . Integration of lidar and Landsat ETM+ data for estimating and mapping forest canopy height. . Remote Sensing of Environment , 82 : 397 – 416 .
   Web of Science ®Google Scholar
• Hurcom , S. J. and Harrison , A. R. 1998 . The NDVI and spectral decomposition for semi‐arid vegetation abundance estimation. . International Journal of Remote Sensing , 19 : 3109 – 3125 .
   Web of Science ®Google Scholar
• Isaaks , E. H. and Srivastava , R. M. 1989 . Applied Geostatistics , New York : Oxford University Press .
   Google Scholar
• Jordan , C. F. 1969 . Derivation of leaf area index from quality of light on the forest floor. . Ecology , 50 : 663 – 666 .
   Web of Science ®Google Scholar
• Kokaly , R. F. and Clark , R. N. 1999 . Spectroscopic determination of leaf biochemistry using band‐depth analysis of absorption features and stepwise multiple linear regression. . Remote Sensing of Environment , 67 : 267 – 287 .
   Web of Science ®Google Scholar
• Kumar , L. , Schmidt , K. S. , Dury , S. and Skidmore , A. K. 2001 . “ Imaging spectrometry and vegetation science. ” . In Imaging Spectrometry , Edited by: van der Meer , F and de Jong , S. M . 111 – 155 . Dordrecht : Kluwer Academic .
   Google Scholar
• McGarigal , K. , Cushman , S. and Stafford , S. 2000 . Multivariate Statistics for Wildlife and Ecology Research , New York : Springer .
   Google Scholar
• McNaughton , S. J. 1988 . Mineral nutrition and spatial concentrations of African ungulates. . Nature , 334 : 343 – 345 .
   PubMed Web of Science ®Google Scholar
• McNaughton , S. J. and Banyikwa , F. F. 1995 . “ Plant communities and herbivory. ” . In Serengeti II—Dynamics, management, and conservation of an ecosystem , Edited by: Sinclair , A. R. E and Arcese , P . 49 – 70 . Chicago : Chicago Press .
   Google Scholar
• Moore , D. S. and McCabe , G. P. 1998 . Introduction to the Practice of Statistics , New York : W.H. Freeman and Company .
   Google Scholar
• Mutanga , O. 2000 . Natural woodland distribution in parts of Mashonaland West province in Zimbabwe using GIS based spatial statistics. . Geographical Journal of Zimbabwe , 30 : 1 – 9 .
   Google Scholar
• Mutanga , O. and Skidmore , A. K. 2004a . Integrating imaging spectrometry and neural networks to map tropical grass quality in the Kruger National Park, South Africa. . Remote Sensing of Environment , 90 : 104 – 115 .
   Web of Science ®Google Scholar
• Mutanga , O. and Skidmore , A. K. 2004b . Narrow band vegetation indices solve the saturation problem in biomass estimation. . International Journal of Remote Sensing , 25 : 3999 – 4014 .
   Web of Science ®Google Scholar
• Mutanga , O. , Prins , H. H. T. , Skidmore , A. K. , Huizing , H. , Grant , R. , Peel , M. J. S. , Biggs , H. and Van Wieren , S. 2004a . Explaining grass‐nutrient patterns in a savanna rangeland of Southern Africa. . Journal of Biogeography , 31 : 819 – 829 .
   Web of Science ®Google Scholar
• Mutanga , O. , Skidmore , A. K. and Prins , H. H. T. 2004b . Discriminating sodium concentration in a mixed grass species environment using spectroradiometry. . International Journal of Remote Sensing , 20 : 4191 – 4201 .
   Web of Science ®Google Scholar
• Mutanga , O. , Skidmore , A. K. and Prins , H. H. T. 2004c . Predicting in situ pasture quality in the Kruger National Park, South Africa using continuum removed absorption features. . Remote Sensing of Environment , 89 : 393 – 408 .
   Web of Science ®Google Scholar
• Myers , V. I. , Heilman , M. D. , Lyon , R. J. P. , Namken , L. N. , Simonett , D. , Thomas , J. R. , Wiegand , C. L. and Woolley , J. T. 1970 . “ Soil, water, and plant relations. ” . In Remote Sensing with Special Reference to Agriculture and Forestry , 253 – 297 . Washington, DC : National Academy of Sciences .
   Google Scholar
• Papritz , A. and Stein , A. 1999 . “ Spatial prediction by linear kriging. ” . In Spatial Statistics for Remote Sensing , Edited by: Stein , A , van der Meer , F and Gorte , B . 83 – 113 . Dordrecht : Kluwer .
   Google Scholar
• Prins , H. H. T. 1989 . “ A balanced diet as a goal for grazing: the food of the Manyara buffalo. ” . In African Journal Of Ecology Vol. 27 , 241 – 259 .
   Google Scholar
• Richards , J. A. 1993 . Remote Sensing Digital Image Analysis: An introduction, , 2 , Berlin : Springer‐Verlag .
   Google Scholar
• Rouse , J. W. , Haas , R. H. , Schell , J. A. and Deering , D. W. 1973 . “ Monitoring vegetation systems in the great plains with ERTS. ” . In Proceedings of the Third ERTS Symposium , Vol. 1 , 309 – 317 . Washington, DC : NASA .
   Google Scholar
• Said , M. S. 2003 . “ Mutiscale perspectives of species richness in East Africa. ” . PhD thesis, ITC‐Wageningen, the Netherlands
   Google Scholar
• Schmidt , K. S. and Skidmore , A. K. 2003 . Spectral discrimination of vegetation types in a coastal wetland. . Remote Sensing of Environment , 85 : 92 – 108 .
   Web of Science ®Google Scholar
• Skidmore , A. K. 1999 . Accuracy assessment of spatial information. . Spatial Statistics for Remote Sensing , : 197 – 209 . Stein A, van der Meer F, Gorte B, eds. Dordrecht. Kluwer Academic
   Google Scholar
• Skidmore , A. K. , Varekamp , C. , Wilson , I. , Knowles , E. and Delaney , J. 1997 . “ Remote sensing of soils in a eucalypt forest environment. ” . In International Journal of Remote Sensing Vol. 18 , 39 – 56 .
   Google Scholar
• Thenkabail , P. S. , Smith , R. B. and De Pauw , E. 2000 . Hyperspectral vegetation indices and their relationships with agricultural crop characteristics. . Remote Sensing of Environment , 71 : 158 – 182 .
   Web of Science ®Google Scholar
• Todd , S. W. , Hoffer , R. M. and Milchunas , D. G. 1998 . Biomass estimation on grazed and ungrazed rangelands using spectral indices. . International Journal of Remote Sensing , 19 : 427 – 438 .
   Web of Science ®Google Scholar
• Trollope , W. S. W. and Potgieter , A. L. F. 1986 . Estimating grass fuel loads with a disc pasture meter in the Kruger National Park. . Journal of the Grassland Society of Southern Africa , 3 : 148 – 152 .
   Google Scholar
• Tucker , C. J. 1977 . Asymptotic nature of grass canopy spectral reflectance. . Applied Optics , 16 : 1151 – 1156 .
   PubMed Web of Science ®Google Scholar
• van der Meer , F. 1998 . Mapping dolomitization through a co‐regionalisation of simulated field and image‐derived reflectance spectra: a proof‐of‐ concept study. . International Journal of Remote Sensing , 19 : 1615 – 1620 .
   Web of Science ®Google Scholar
• Webster , R. , Curran , P. J. and Munden , J. W. 1989 . Spatial correlation in reflected radiation from the ground and its implications for sampling and mapping by ground based radiometry. . Remote Sensing of Environment , 29 : 67 – 78 .
   Web of Science ®Google Scholar
• Venter , F. J. 1990 . “ A classification of land for management planning in the Kruger National Park. ” . PhD thesis, University of South Africa, Pretoria
   Google Scholar
• Venter , F. J. , Scholes , R. J. and Eckhardt , H. 2003 . “ The abiotic template and its associated vegetation pattern. ” . In The Kruger Experience: Ecology and management of savanna heterogeneit , Edited by: Du Toit , J. T , Rogers , K. H and Biggs , H . London : Island Press .
   Google Scholar
• Zhang , R. , Warrick , A. W. and Myers , D. E. 1992 . Improvement of soil textural estimates using spectral properties. . Geoderma , 52 : 223 – 234 .
   Web of Science ®Google Scholar