An Introduction to Remotely Sensed Data Analysis

Remote sensing (RS) is an important tool for studying natural resources and the environment. There is an extremely large number of possible applications for remotely sensed data. RS is defined as the technique for deriving information about the Earth's surface and estimating geo-bio-physical properties using electromagnetic radiation.

[1]  Yichun Xie,et al.  Remote sensing imagery in vegetation mapping: a review , 2008 .

[2]  R. Benedetti,et al.  Using Constrained Optimization for the Identification of Convergence Clubs , 2013 .

[3]  Mike Rees,et al.  5. Statistics for Spatial Data , 1993 .

[4]  D. Roy,et al.  The MODIS Land product quality assessment approach , 2002 .

[5]  Brian Everitt,et al.  Cluster analysis , 1974 .

[6]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[7]  G. Fitzgerald,et al.  Directed sampling using remote sensing with a response surface sampling design for site-specific agriculture , 2006 .

[8]  John A. Richards,et al.  Remote Sensing Digital Image Analysis , 1986 .

[9]  Michael E. Schaepman,et al.  A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling , 2007, Int. J. Appl. Earth Obs. Geoinformation.

[10]  Philip N. Strenski,et al.  Analysis of finite length annealing schedules , 2005, Algorithmica.

[11]  Clement Atzberger,et al.  Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs , 2013, Remote. Sens..

[12]  P. Curran Principles of remote sensing , 1984 .

[13]  Robert Haining,et al.  Error Propagation Through Map Operations , 1993 .

[14]  Philip H. Swain,et al.  Remote Sensing: The Quantitative Approach , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[15]  Markus Neteler,et al.  Open Source GIS: A GRASS GIS Approach , 2007 .

[16]  D Marr,et al.  Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[17]  Noel A Cressie,et al.  Statistics for Spatial Data. , 1992 .

[18]  Aldo Cumani,et al.  Edge detection in multispectral images , 1991, CVGIP Graph. Model. Image Process..

[19]  Emile H. L. Aarts,et al.  Simulated Annealing: Theory and Applications , 1987, Mathematics and Its Applications.

[20]  J. Besag On the Statistical Analysis of Dirty Pictures , 1986 .

[21]  Roberto Benedetti,et al.  On the use of NDVI profiles as a tool for agricultural statistics: The case study of wheat yield estimate and forecast in Emilia Romagna , 1993 .

[22]  John A. Richards,et al.  Remote Sensing Digital Image Analysis: An Introduction , 1999 .

[23]  J. MacQueen Some methods for classification and analysis of multivariate observations , 1967 .

[24]  E. Carfagna,et al.  Using Remote Sensing for Agricultural Statistics , 2005 .

[25]  H. L. Le Roy,et al.  Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability; Vol. IV , 1969 .

[26]  R. Benedetti,et al.  Vegetation classification in the middle Mediterranean area by satellite data , 1994 .

[27]  John R. Jensen,et al.  Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .

[28]  Donald Geman,et al.  Boundary Detection by Constrained Optimization , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[29]  Hamid Hassanpour,et al.  Edge Detection Techniques: Evaluations and Comparison , 2008 .

[30]  I. Jolliffe Principal Component Analysis , 2002 .

[31]  Giuseppe Arbia,et al.  Contextual classification in image analysis: an assessment of accuracy of ICM , 1999 .

[32]  B. Ripley Statistical inference for spatial processes , 1990 .

[33]  Robert N. Colwell,et al.  Manual of remote sensing , 1983 .

[34]  S. J. Thomson,et al.  POTENTIAL FOR REMOTE SENSING FROM AGRICULTURAL AIRCRAFT USING DIGITAL VIDEO , 2005 .

[35]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.

[36]  Mark Sullivan,et al.  Monitoring Global Croplands with Coarse Resolution Earth Observations: The Global Agriculture Monitoring (GLAM) Project , 2010, Remote. Sens..

[37]  Clement Atzberger,et al.  Correction: Atzberger, C. Advances in Remote Sensing of Agriculture: Context Description, Existing Operational Monitoring Systems and Major Information Needs. Remote Sens 2013, 5, 949-981 , 2013, Remote. Sens..

[38]  Christopher Munyati,et al.  Use of Principal Component Analysis (PCA) of Remote Sensing Images in Wetland Change Detection on the Kafue Flats, Zambia , 2004 .

[39]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[40]  D. Muchoney,et al.  Change detection for monitoring forest defoliation , 1994 .