Rule-based classification of multi-temporal satellite imagery for habitat and agricultural land cover mapping

[1]  D. Butler,et al.  Politics and the Public , 1965 .

[2]  J. Colby,et al.  Topographic Normalization in Rugged Terrain , 1991 .

[3]  N. Campbell,et al.  Derivation and applications of probabilistic measures of class membership from the maximum-likelihood classification , 1992 .

[4]  Russell G. Congalton,et al.  A practical look at the sources of confusion in error matrix generation , 1993 .

[5]  A. Brown,et al.  A new biogeographical classification of the Scottish Uplands. , 1993 .

[6]  C. Conese.  Topographic normalization of TM scenes through the use of an atmospheric correction method and digital terrain model , 1993 .

[7]  A. Jones,et al.  The Land Cover Map of Great Britain: an automated classification of Landsat Thematic Mapper data , 1994 .

[8]  John B. Adams,et al.  Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon , 1995 .

[9]  R. Fuller,et al.  A comparison of land cover types in an ecological field survey in Northern England and a remotely sensed land cover map of Great Britain , 1995 .

[10]  Giles M. Foody,et al.  Fuzzy modelling of vegetation from remotely sensed imagery , 1996 .

[11]  Didier Tanré,et al.  Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..

[12]  George Alan Blackburn,et al.  Biophysical controls on the directional spectral reflectance properties of bracken (Pteridium aquilinum) canopies: results of a field experiment , 1999 .

[13]  Colin J. McClean,et al.  Between‐observer variation in the application of a standard method of habitat mapping by environmental consultants in the UK , 1999 .

[14]  Andrew R. Webb,et al.  Statistical Pattern Recognition , 1999 .

[15]  Mahta Moghaddam,et al.  Monitoring tree moisture using an estimation algorithm applied to SAR data from BOREAS , 1999, IEEE Trans. Geosci. Remote. Sens..

[16]  Arno Schäpe,et al.  Multiresolution Segmentation : an optimization approach for high quality multi-scale image segmentation , 2000 .

[17]  M. K. Gillespie,et al.  Accounting for nature: assessing habitats in the UK countryside. , 2000 .

[18]  M. Shoshany.  Satellite remote sensing of natural Mediterranean vegetation: a review within an ecological context , 2000 .

[19]  J. Strobl,et al.  Object-Oriented Image Processing in an Integrated GIS/Remote Sensing Environment and Perspectives for Environmental Applications , 2000 .

[20]  Ola Ahlqvist,et al.  Context Sensitive Transformation of Geographic Information , 2000 .

[21]  Josef Strobl,et al.  What’s wrong with pixels? Some recent developments interfacing remote sensing and GIS , 2001 .

[22]  R. Hill,et al.  The UK Land Cover Map 2000: Construction of a Parcel-Based Vector Map from Satellite Images , 2002 .

[23]  Konstantinos Perakis,et al.  Assessment of crop damage using space remote sensing and GIS , 2002 .

[24]  Robin Fuller,et al.  Landscape modelling using integrated airborne multi-spectral and laser scanning data , 2002 .

[25]  Giles M. Foody,et al.  Status of land cover classification accuracy assessment , 2002 .

[26]  Yann Kerr,et al.  Comparison of ERS-2 SAR and Landsat TM imagery for monitoring agricultural crop and soil conditions , 2002 .

[27]  Giles M. Foody,et al.  Hard and soft classifications by a neural network with a non-exhaustively defined set of classes , 2002 .

[28]  M. Keller,et al.  Estimating Canopy Structure in an Amazon Forest from Laser Range Finder and IKONOS Satellite Observations1 , 2002 .

[29]  Joseph Y. Halpern.  Reasoning about uncertainty , 2003 .

[30]  G. Meinel,et al.  EVALUATION OF SEGMENTATION PROGRAMS FOR HIGH RESOLUTION REMOTE SENSING APPLICATIONS , 2003 .

[31]  Geoff Smith,et al.  An evaluation of per-parcel land cover mapping using maximum likelihood class probabilities , 2003 .

[32]  C. Burnett,et al.  A multi-scale segmentation/object relationship modelling methodology for landscape analysis , 2003 .

[33]  Masanobu Shimada,et al.  Preliminary study on data sets of ADEOS-II and ALOS dedicated to terrestrial carbon observation , 2003 .

[34]  T H Blackstock,et al.  Repeatability of Phase 1 habitat survey. , 2004, Journal of environmental management.

[35]  Peter F. Fisher,et al.  Integrating land-cover data with different ontologies: identifying change from inconsistency , 2004, Int. J. Geogr. Inf. Sci..

[36]  P. K Varshney,et al.  Advanced image processing techniques for remotely sensed hyperspectral data : with 128 figures and 30 tables , 2004 .

[37]  S. Prince,et al.  Estimating net primary production of boreal forests in Finland and Sweden from field data and remote sensing , 2004 .

[38]  Jiaguo Qi,et al.  Optimal classification methods for mapping agricultural tillage practices , 2004 .

[39]  Thuy Le Toan,et al.  Relating Radar Remote Sensing of Biomass to Modelling of Forest Carbon Budgets , 2004 .

[40]  Mark Cutler,et al.  Remote sensing of upland vegetation: the potential of high spatial resolution satellite sensors , 2004 .

[41]  Graeme M. Buchanan,et al.  Characterization of moorland vegetation and the prediction of bird abundance using remote sensing , 2005 .