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Linking remote sensing, land cover and disease

By P.J. Curran, P.M. Atkinson, E.J. Milton and G.M. Foody


Land cover is a critical variable in epidemiology and can be characterized remotely. A framework is used to describe both the links between land cover and radiation recorded in a remotely sensed image, and the links between land cover and the disease carried by vectors. The framework is then used to explore the issues involved when moving from remotely sensed imagery to land cover and then to vector density/disease risk. This exploration highlights the role of land cover: the need to develop a sound knowledge of each link in the predictive sequence; the problematic mismatch between the spatial units of the remotely sensed and epidemiological data and the challenges and opportunities posed by adding a temporal mismatch between the remotely sensed and epidemiological data. The paper concludes with a call for both greater understanding of the physical components of the proposed framework and the utilization of optimized statistical tools as prerequisites to progress in this field

Topics: GB, RB
Year: 2000
OAI identifier:
Provided by: e-Prints Soton

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  1. (1986). A coefficient of agreement as a measure of thematic classification accuracy. Photogrammetric Engineering and Remote Sensing
  2. (1960). A coefficient of agreement for nominal scales.
  3. (1995). A detailed comparison of backpropagation neural network and maximum likelihood classification for urban land use classification.
  4. (1991). A review of assessing the accuracy of classifications of remotely sensed data.
  5. (1985). Absolute calibration of Landsat instruments using the moon.
  6. (1986). Accuracy assessment: a user's perspective.
  7. (1999). An application of remotely derived climatological fields for risk assessment of vector-borne disease: A spatial study of Filariasis prevalence in the Nile delta, Egypt. Photogrammetric Engineering and Remote Sensing
  8. (1998). An atmospheric correction procedure for the ATSR-2 visible and near-infrared land surface data.
  9. (1984). An estimate of the number of boundary cells in a mapped landscape coded to grid cells.
  10. (1997). An evaluation of some factors affecting the accuracy of classification by an artificial neural network.
  11. (2000). An overview of remote sensing and geodesy for public health applications.
  12. (1985). Analysis of the phenology of global vegetation using meteorological satellite data.
  13. (1994). Application of remote sensing to arthropod vector surveillance and control.
  14. (1994). Application of the semivariogram textural classifier (STC) for vegetation discrimination using SIR-B data on the Guiana Shield, northwestern Brazil. Remote Sensing Reviews
  15. (1989). Applications of remote sensing to the identification of the habitats of parasites and disease vectors.
  16. (1996). Approaches for the production and evaluation of fuzzy land cover classifications from remotely sensed data.
  17. (1994). Automating linear mixture analysis of imaging spectrometry data. In:
  18. (1987). Calibration of satellite radiometers and the comparison of vegetation indices.
  19. (1987). Canopy reflectance, photosynthesis, and transpiration. II. The role of biophysics in the linearity of their interdependence.
  20. (1997). Choosing an appropriate spatial resolution for remote sensing investigations.
  21. (1996). Classification algorithms - where next?. In: Soft Computing in Remote Sensing Data Analysis
  22. (1995). Classification of multispectral images based on fractions of endmembers: application to land-cover change in the Brazilian Amazon. Remote Sensing of
  23. (1999). Climate and satellite indicators to forecast rift valley fever epidemics in Kenya.
  24. (1994). Cokriging with airborne MSS imagery.
  25. (1992). Cokriging with ground-based radiometry.
  26. (1974). Combined spectral and spatial processing of ERTS imagery data.
  27. (1997). Comparison of fuzzy c-means classification, linear mixture modelling and MLC probabilities as tools for unmixing coarse pixels.
  28. (1999). Computer Processing of Remotely-Sensed Images: An Introduction, second edition.
  29. (1989). Conceptual model for the use of aerial color infrared photography by mosquito control districts as a survey technique for Psorophora columbiae oviposition habitats in Texas ricelands.
  30. (1985). Contextual classification processing of Landsat data using a probabilistic relaxation model.
  31. (1996). Contextual correction: Techniques for improving land cover mapping from remotely sensed images.
  32. (1992). Derivation and applications of probabilistic measures of class membership from the maximum likelihood classification. Photogrammetric Engineering and Remote Sensing
  33. (1990). Description of a computer code to simulate the satellite signal in the solar spectrum : the 5S code.
  34. (1998). Design and analysis for thematic map accuracy assessment: fundamental principles.
  35. (1996). Designing optimal spectral indexes for remote sensing applications.
  36. (1987). Detection of rift valley fever viral activity in Kenya by satellite remote sensing imagery.
  37. (1985). Detection, identification, and classification of mosquito larval habitats using remote sensing scanners in earth-orbiting satellites.
  38. (1991). Distinguishing high and low anopheline-producing rice fields using remote sensing and GIS technologies.
  39. (1992). Estimating high mosquitoproducing rice fields using spectral and spatial data.
  40. (1994). Estimation of tropical forest extent and regenerative stage using remotely sensed data.
  41. (1997). Evaluation of neural pattern classifiers for a remote sensing application.
  42. (1982). for combining Landsat and ancillary data for digital classification improvement.
  43. (1998). Forest biodiversity and its assessment by remote sensing.
  44. (1998). From predicting mosquito habitat to malaria seasons using remotely sensed data: practices, problems and perspectives.
  45. (1997). Fully fuzzy supervised classification of land cover from remotely sensed imagery with an artificial neural network.
  46. (1990). Fuzzy supervised classification of remote sensing images.
  47. (1997). Geographic information systems and the distribution of Shistosoma manosoni in the Nile delta.
  48. (1998). Geostatistics and remote sensing in predictive tools of tick distribution: A cokriging system to estimate Ixodes scapularis (Acari: Ixodidae) habitat suitability in the United States and Canada from advanced very high resolution radiometer data.
  49. (1997). Geostatistics for Natural Resources Evaluation.
  50. (1987). Ground truth –an underview.
  51. (1998). GSTAT - a program for geostatistical modelling, prediction and simulation.
  52. (1992). Identification of central Kenyan rift valley fever virus vector habitats with Landsat TM and evaluation of their flooding status with airborne imaging radar.
  53. (1999). Image endmembers and the scene model.
  54. (1999). Image interpretation keys for validation of global land-cover data sets. Photogrammetric Engineering and Remote Sensing
  55. (1996). Image-based atmospheric corrections - revisited and improved.
  56. (1993). Imaging spectroscopy: interpretation based on spectral mixture analysis. In:
  57. (1996). Incorporating mixed pixels in the training, allocation and testing stages of supervised classifications.
  58. (1999). Introduction to Environmental Remote Sensing, fourth edition.
  59. (1996). Introduction to Remote Sensing, second edition. London: Taylor and Francis.
  60. (1996). Introductory Digital Image Processing, second edition.
  61. (1999). Issues of scale and optimal pixel size. In: Spatial Statistics in Remote Sensing
  62. (1990). Knowledge-based techniques for multi-source classification.
  63. (1999). Land cover classification revisited. In:
  64. (1992). Land cover.
  65. (2000). Land use changes and disease transmission in central China.
  66. (1965). Les Variables Régionalisées et Leur Estimation.
  67. (1997). Log-linear modelling for the evaluation of the variables affecting the accuracy of probabilistic, fuzzy and neural network classifications.
  68. (1999). Malaria in Africa: the view from space.
  69. (1997). Manual of Photographic Interpretation, second edition.
  70. (1998). Mapping chaparal in the Santa Monica Mountains using multiple endmember spectral mixture models.
  71. (1982). Matrix formulation of cokriging.
  72. (1999). MERIS potential for land applications.
  73. (1982). Mineral identification from orbit: initial results from the Shuttle Multispectral Infrared Radiometer.
  74. (1988). Models of Vegetation Canopy Reflectance and their use in Estimation of Biophysical Parameters.
  75. (1996). Monitoring the effects of Dracunculiasis remediation on agricultural productivity using satellite data.
  76. (1993). Monitoring trypanosomiasis in space and time.
  77. (1991). Mortality rates and population density of tsetse filies correlated with satellite imagery.
  78. (1994). Multisource image classification II: an empirical comparison of evidential reasoning and neural network approaches.
  79. (1983). Multispectral remote sensing for the estimation of green leaf area index.
  80. (1966). Natural Nidality of Transmissible Diseases with Special Reference to the Landscape Epidemiology of Zooanthroponoses (Translated
  81. (1990). Neural network approaches versus statistical methods in classification of multisource remote sensing data.
  82. (1995). Neural Networks for Pattern Recognition.
  83. (1970). New eyes for epidemiologists: aerial photography and other remote sensing techniques.
  84. (1992). On the compensation for chance agreement in image classification accuracy assessment.
  85. (1990). On the information content of soil reflectance spectra.
  86. (1986). On the nature of models in remote sensing.
  87. (1976). On the variability of the reflected radiation field due to differing distributions of the irradiation.
  88. (1991). Overview of field studies for the application of remote sensing to the study of malaria transmission in Tapachula,
  89. (1992). Pattern Recognition. Statistical Structural and Neural Approaches.
  90. (1999). Predicting malaria infection in Gambian children from satellite data and bed net use surveys: the importance of spatial correlation in the interpretation of results.
  91. (1998). Predicting malaria seasons in Kenya using multitemporal meteorological satellite sensor data.
  92. (1996). Predicting the distribution of tsetse flies in West Africa using temporal Fourier processed meteorological satellite data.
  93. (1992). Prediction and measurement of soil bidirectional reflectance.
  94. (1995). Predictions of adult Anopheles albimanus densities in villages based on distances to remotely sensed larval habitats.
  95. (1996). Predictions of malaria vector distribution in Belize based on multispectral satellite data.
  96. (1987). Principles of field spectroscopy.
  97. (1988). Remote recognition of Amblyomma variegatum habitats in Guadeloupe using Landsat-TM imagery.
  98. (1999). Remote Sensing and Image Interpretation, fourth edition.
  99. (1994). Remote sensing as a landscape epidemiologic tool to identify villages at high risk for malaria transmission.
  100. (1994). Remote sensing as a landscape epidemiologic tool to identify villages at risk for malaria transmission.
  101. (1993). Remote Sensing Digital Image Analysis: An Introduction, second edition.
  102. (1998). Remote sensing from data to understanding. In: Geocomputation: A
  103. (1989). Remote sensing in entomology,
  104. (1987). Remote sensing methodologies and geography.
  105. (1997). Remote Sensing Models and Methods for Image Processing, second edition. San Diego:
  106. (1989). Remote sensing of foliar chemistry.
  107. (1994). Remote sensing of tropical wetlands for malaria control in Chiapas,
  108. (1997). Remote sensing the biochemical composition of a slash pine canopy.
  109. (1996). Remotely sensed surrogates of meteorological data for the study of the distribution and abundance of arthropod vectors of disease.
  110. (1993). Satellite data rocket disease control efforts into orbit.
  111. (1991). Satellite imaging as a technique for obtaining disease-related data.
  112. (1994). Satellite inventory of Minnesota forest resources. Photogrammetric Engineering and Remote Sensing
  113. (1989). Satellite remote sensing: the newest technology for monitoring vector populations and predicting arbovirus outbreaks.
  114. (1995). Satellites wage war on disease.
  115. (1997). Scale and spatial dependence. In: Scaling-up: From Cell to Landscape
  116. (1986). Segmentation of a thematic mapper image using the fuzzy c-means clustering algorithm.
  117. (1991). Soil moisture content ground data for remote sensing investigations of agricultural regions.
  118. (1990). Statistical Methods for Soil and Land Resources Survey.
  119. (1984). Textural analysis and real-time classification of seaice types using digital SAR data.
  120. (1985). The accuracy of ground data used in remote sensing investigations.
  121. (1997). The Advanced Very High Resolution Radiometer (AVHRR). London: Taylor and Francis.
  122. (1999). The continuum of classification fuzziness in thematic mapping.
  123. (1988). The dangers of underestimating the importance of data adjustments in band ratioing.
  124. (1986). The epidemiological uses of remote sensing and satellites.
  125. (1987). The factor of scale in remote sensing.
  126. (1997). The impact of remote sensing on the study and control of invertebrate intermediate hosts and vectors for disease.
  127. (1984). The importance and attainment of accurate absolute radiometric calibration.
  128. (1991). The remote recognition of tick habitats.
  129. (1999). The Remote Sensing Data Book. Cambridge:
  130. (1971). The Theory of Regionalized Variables and its Applications. Fontainbleau: Centre de Morphologies Mathématique de Fontainbleau.
  131. (1983). The use of contextual information in the classification of remotely sensed data. Photogrammetric Engineering and Remote Sensing
  132. (1980). The use of prior probabilities in maximum likelihood classification of remotely sensed data.
  133. (1994). Theory and methods for accuracy assessment of thematic maps using fuzzy sets. Photogrammetric Engineering and Remote Sensing
  134. (1990). Three methods for the absolute calibration of the NOAA AVHRR sensors in-flight.
  135. (1997). Univariate analysis of tsetse habitat in the common fly belt of Southern Africa using climate and remotely sensed vegetation data.
  136. (1996). Use of a green channel in remote sensing of global vegetation from EOS-MODIS.
  137. (1989). Use of aerial color infrared photography as a survey technique for Psorophora columbiae oviposition habitats in Texas ricelands.
  138. (1994). Use of probability entropy for the estimation and graphical representation of the accuracy of maximum likelihood classifications.
  139. (1996). Use of weather data and remote sensing to predict the geographic and seasonal distribution of Phlebotomus papatasi in southwest Asia.
  140. (1998). Using remote sensing to reduce uncertainties in the global carbon budget: The potential of radiation acquired in midle infrared wavelengths.
  141. (1974). Vegetation canopy reflectance.
  142. (1968). Weighted kappa.
  143. (1991). What does remote sensing do for ecology?

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