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Volumn 10, Issue 3, 2018, Pages

An exploration of some pitfalls of thematic map assessment using the new map tools resource

Author keywords

Average mutual information; Cohen's Kappa; Map accuracy; Map comparison; Overall accuracy; Producers accuracy; Thematic maps; Users accuracy

Indexed keywords

MAPS;

EID: 85044327283     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs10030376     Document Type: Article
Times cited : (15)

References (36)
  • 1
    • 85044302433 scopus 로고    scopus 로고
    • (accessed on 15 February 2017).
    • European Union, Mapping Guide for a European Urban Atlas. Available online: https://cws-download.eea.europa.eu/local/ua2006/Urban_Atlas_2006_mapping_guide_v2_final.pdf (accessed on 15 February 2017).
  • 2
    • 0034919666 scopus 로고    scopus 로고
    • Assessing fitness for use: the expected value of spatial data sets
    • De Bruin, S.; Bregt, A.; van de Ven, M. Assessing fitness for use: the expected value of spatial data sets. Int. J. Geogr. Inf. Sci. 2001, 15, 457-471.
    • (2001) Int. J. Geogr. Inf. Sci. , vol.15 , pp. 457-471
    • De Bruin, S.1    Bregt, A.2    van de Ven, M.3
  • 3
    • 0032826392 scopus 로고    scopus 로고
    • Comparing thematic maps based on map value
    • Stehman, S.V. Comparing thematic maps based on map value. Int. J. Remote Sens. 1999, 20, 234-2366.
    • (1999) Int. J. Remote Sens. , vol.20 , pp. 234-2366
    • Stehman, S.V.1
  • 4
    • 67349093551 scopus 로고    scopus 로고
    • Classification accuracy comparison: Hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority
    • Foody, G.M. Classification accuracy comparison: Hypothesis tests and the use of confidence intervals in evaluations of difference, equivalence and non-inferiority. Remote Sens. Environ. 2009, 113, 165-1663.
    • (2009) Remote Sens. Environ. , vol.113 , pp. 165-1663
    • Foody, G.M.1
  • 5
    • 0020968740 scopus 로고
    • Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques
    • Congalton, R.G.; Oberwald, R.G.; Mead, R.A. Assessing Landsat classification accuracy using discrete multivariate analysis statistical techniques. Photogramm. Eng. Remote Sens. 1983, 49, 167-1678.
    • (1983) Photogramm. Eng. Remote Sens. , vol.49 , pp. 167-1678
    • Congalton, R.G.1    Oberwald, R.G.2    Mead, R.A.3
  • 6
    • 0031255580 scopus 로고    scopus 로고
    • Selecting and interpreting measures of thematic classification accuracy
    • Stehman, S.V. Selecting and interpreting measures of thematic classification accuracy. Remote Sens. Environ. 1997, 62, 7-89.
    • (1997) Remote Sens. Environ. , vol.62 , pp. 7-89
    • Stehman, S.V.1
  • 7
    • 33745115697 scopus 로고    scopus 로고
    • Comparing accuracy assessments to infer superiority of image classification methods
    • De Leeuw, J.; Jai, H.; Yang, L.; Liu, X.; Schmidt, K.; Skidmore, A.K. Comparing accuracy assessments to infer superiority of image classification methods. Int. J. Remote Sens. 2006, 27, 22-232.
    • (2006) Int. J. Remote Sens. , vol.27 , pp. 22-232
    • De Leeuw, J.1    Jai, H.2    Yang, L.3    Liu, X.4    Schmidt, K.5    Skidmore, A.K.6
  • 8
    • 79956324768 scopus 로고    scopus 로고
    • Death to kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment
    • Pontius, R.G., Jr.; Millones, M. Death to kappa: birth of quantity disagreement and allocation disagreement for accuracy assessment. Int. J. Remote Sens. 2011, 32, 440-4429.
    • (2011) Int. J. Remote Sens. , vol.32 , pp. 440-4429
    • Pontius, R.G.1    Millones, M.2
  • 9
    • 34047163965 scopus 로고    scopus 로고
    • Comparative assessment of the measures of thematic classification accuracy
    • Liu, C.; Frazier, P.; Kumar, L. Comparative assessment of the measures of thematic classification accuracy. Remote Sens. Environ. 2007, 107, 60-616.
    • (2007) Remote Sens. Environ. , vol.107 , pp. 60-616
    • Liu, C.1    Frazier, P.2    Kumar, L.3
  • 11
    • 0020108638 scopus 로고
    • Using known map category marginal frequencies to improve estimates of thematic map accuracy
    • Card, D.H. Using known map category marginal frequencies to improve estimates of thematic map accuracy. Photogramm. Eng. Remote Sens. 1982, 48, 431-439.
    • (1982) Photogramm. Eng. Remote Sens. , vol.48 , pp. 431-439
    • Card, D.H.1
  • 12
    • 0003914342 scopus 로고    scopus 로고
    • Assessing the Accuracy of Remotely Sensed Data: Principles and Practices
    • CRC Press: Boca Raton, FL, USA.
    • Congalton, R.G.; Green, K. Assessing the Accuracy of Remotely Sensed Data: Principles and Practices; CRC Press: Boca Raton, FL, USA, 1999; pp. 45-48.
    • (1999) , pp. 45-48
    • Congalton, R.G.1    Green, K.2
  • 13
    • 84867032950 scopus 로고    scopus 로고
    • Spatial analysis of remote sensing image classification accuracy
    • Comber, A.; Fisher, P.; Brunsdon, C.; Khmag, A. Spatial analysis of remote sensing image classification accuracy. Remote Sens. Environ. 2012, 127, 237-246.
    • (2012) Remote Sens. Environ. , vol.127 , pp. 237-246
    • Comber, A.1    Fisher, P.2    Brunsdon, C.3    Khmag, A.4
  • 14
    • 0000866729 scopus 로고
    • On the compensation for chance agreement in image classification accuracy assessment
    • Foody, G.M. On the compensation for chance agreement in image classification accuracy assessment. Photogramm. Eng. Remote Sens. 1992, 58, 1459-1460.
    • (1992) Photogramm. Eng. Remote Sens. , vol.58 , pp. 1459-1460
    • Foody, G.M.1
  • 16
    • 0022927129 scopus 로고
    • A coefficient of agreement as a measure of thematic classification accuracy
    • Rosenfeld, G.H.; Fitzpatrick-Lins, K. A coefficient of agreement as a measure of thematic classification accuracy. Photogramm. Eng. Remote Sens. 1986, 52, 224-227.
    • (1986) Photogramm. Eng. Remote Sens. , vol.52 , pp. 224-227
    • Rosenfeld, G.H.1    Fitzpatrick-Lins, K.2
  • 17
    • 77955275042 scopus 로고    scopus 로고
    • Assessing the accuracy of land cover change with imperfect ground reference data
    • Foody, G.M. Assessing the accuracy of land cover change with imperfect ground reference data. Remote Sens. Environ. 2010, 114, 2271-2285.
    • (2010) Remote Sens. Environ. , vol.114 , pp. 2271-2285
    • Foody, G.M.1
  • 18
    • 84915732262 scopus 로고    scopus 로고
    • Quantity, Exchange and Shift Components of Differences in a Square Contingency Table
    • Pontius, R.G.; Santacruz, A. Quantity, Exchange and Shift Components of Differences in a Square Contingency Table. Int. J. Remote Sens. 2014, 35, 7543-7554.
    • (2014) Int. J. Remote Sens. , vol.35 , pp. 7543-7554
    • Pontius, R.G.1    Santacruz, A.2
  • 19
    • 0027836868 scopus 로고
    • Use of the average mutual information index in evaluating classification error and consistency
    • Finn, J.T. Use of the average mutual information index in evaluating classification error and consistency. Int. J. Geogr. Inf. Sci. 1993, 7, 349-366.
    • (1993) Int. J. Geogr. Inf. Sci. , vol.7 , pp. 349-366
    • Finn, J.T.1
  • 21
    • 42949083191 scopus 로고    scopus 로고
    • Identifying and quantifying uncertainty and spatial disagreement in the comparison of Global Land Cover for different applications
    • Fritz, S.; See, L. Identifying and quantifying uncertainty and spatial disagreement in the comparison of Global Land Cover for different applications. Glob. Chang. Biol. 2008, 14, 1057-1075.
    • (2008) Glob. Chang. Biol. , vol.14 , pp. 1057-1075
    • Fritz, S.1    See, L.2
  • 23
    • 33646735739 scopus 로고    scopus 로고
    • What is the difference between two maps? A remote senser's view
    • Foody, G.M. What is the difference between two maps? A remote senser's view. J. Geogr. Syst. 2006, 8, 119-130.
    • (2006) J. Geogr. Syst. , vol.8 , pp. 119-130
    • Foody, G.M.1
  • 24
    • 84988805315 scopus 로고    scopus 로고
    • Integrating Entropy-Based Naïve Bayes and GIS for Spatial Evaluation of Flood Hazard
    • Liu, R.; Chen, Y.; Wu, J.; Gao, L.; Barrett, D.; Xu, T.; Li, X.; Li, L.; Huang, C.; Yu, J. Integrating Entropy-Based Naïve Bayes and GIS for Spatial Evaluation of Flood Hazard. Risk Anal. 2017, 37, 756-773.
    • (2017) Risk Anal. , vol.37 , pp. 756-773
    • Liu, R.1    Chen, Y.2    Wu, J.3    Gao, L.4    Barrett, D.5    Xu, T.6    Li, X.7    Li, L.8    Huang, C.9    Yu, J.10
  • 25
    • 85034775396 scopus 로고    scopus 로고
    • Developing a Random Forest Algorithm for MODIS Global Burned Area Classification
    • Ramo, R.; Chuvieco, E. Developing a Random Forest Algorithm for MODIS Global Burned Area Classification. Remote Sens. 2017, 9, 1193-1195.
    • (2017) Remote Sens. , vol.9 , pp. 1193-1195
    • Ramo, R.1    Chuvieco, E.2
  • 26
    • 84859499659 scopus 로고    scopus 로고
    • Assessment of grassland use intensity by remote sensing to support conservation schemes
    • Franke, J.; Keuck, V.; Siegert, F. Assessment of grassland use intensity by remote sensing to support conservation schemes. J. Nat. Conserv. 2012, 20, 125-134.
    • (2012) J. Nat. Conserv. , vol.20 , pp. 125-134
    • Franke, J.1    Keuck, V.2    Siegert, F.3
  • 27
    • 0027009061 scopus 로고
    • Application of detailed ground information to vegetation mapping with high spatial resolution digital imagery
    • Treitz, P.M.; Howarth, P.J.; Suffling, R.C.; Smith, P. Application of detailed ground information to vegetation mapping with high spatial resolution digital imagery. Remote Sens. Environ. 1992, 42, 65-82.
    • (1992) Remote Sens. Environ. , vol.42 , pp. 65-82
    • Treitz, P.M.1    Howarth, P.J.2    Suffling, R.C.3    Smith, P.4
  • 28
    • 77949489813 scopus 로고    scopus 로고
    • Thematic accuracy of the NLCD 2001 land cover for the conterminous United States
    • Wickham, J.D.; Stehman, S.V.; Fry, J.A.; Smith, J.H.; Homer, C.G. Thematic accuracy of the NLCD 2001 land cover for the conterminous United States. Remote Sens. Environ. 2010, 114, 1286-1296.
    • (2010) Remote Sens. Environ. , vol.114 , pp. 1286-1296
    • Wickham, J.D.1    Stehman, S.V.2    Fry, J.A.3    Smith, J.H.4    Homer, C.G.5
  • 29
    • 84927804697 scopus 로고    scopus 로고
    • The value of determining global land cover for assessing climate change mitigation options
    • Laxminarayan, R., Macauley, M.K., Eds.; Springer: Dortrecht, The Netherlands.
    • Fritz, S.; Fuss, S.; Havlik, P.; McCallum, I.; Obersteiner, M.; Szolgayova, J.; See, L. The value of determining global land cover for assessing climate change mitigation options. In The Value of Information; Laxminarayan, R., Macauley, M.K., Eds.; Springer: Dortrecht, The Netherlands, 2012.
    • (2012) The Value of Information
    • Fritz, S.1    Fuss, S.2    Havlik, P.3    McCallum, I.4    Obersteiner, M.5    Szolgayova, J.6    See, L.7
  • 30
    • 41249085127 scopus 로고    scopus 로고
    • Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets
    • Herold, M.; Mayaux, P.;Woodcock, C.E.; Baccini, A.; Schmullius, C. Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets. Remote Sens. Environ. 2008, 112, 2538-2556.
    • (2008) Remote Sens. Environ. , vol.112 , pp. 2538-2556
    • Herold, M.1    Mayaux, P.2    Woodcock, C.E.3    Baccini, A.4    Schmullius, C.5
  • 32
    • 33645961267 scopus 로고    scopus 로고
    • Exploiting synergies of global land cover products for carbon cycle modeling
    • Jung, M.; Henkel, K.; Herold, M.; Churkina, G. Exploiting synergies of global land cover products for carbon cycle modeling. Remote Sens. Environ. 2006, 101, 534-553.
    • (2006) Remote Sens. Environ. , vol.101 , pp. 534-553
    • Jung, M.1    Henkel, K.2    Herold, M.3    Churkina, G.4
  • 33
    • 0024621174 scopus 로고
    • On estimation of entropy and mutual information of continuous distributions
    • Moddemeijer, R. On estimation of entropy and mutual information of continuous distributions. Signal Process. 1989, 16, 233-248.
    • (1989) Signal Process. , vol.16 , pp. 233-248
    • Moddemeijer, R.1
  • 36
    • 84934341002 scopus 로고    scopus 로고
    • The first comprehensive accuracy assessment of GlobeLand30 at a national level: Methodology and results
    • Brovelli, M.A.; Molinari, M.E.; Hussein, E.; Chen, J.; Li, R. The first comprehensive accuracy assessment of GlobeLand30 at a national level: Methodology and results. Remote Sens. 2015, 7, 4191-4212.
    • (2015) Remote Sens. , vol.7 , pp. 4191-4212
    • Brovelli, M.A.1    Molinari, M.E.2    Hussein, E.3    Chen, J.4    Li, R.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.