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3. Accuracy Assessment of the ESA CCI 20M Land Cover Map: Kenya, Gabon, Ivory Coast and South Africa

Author

Lesiv, M., See, L., Mora, B., Pietsch, S., Fritz, S., Bun, H., Sendabo, S., Kibuchi, S., Okemwa, J., Derrik, O., Oima, G., Mgoe, A., Omondi, E., Ongo, D., Abdel-Rahmon, E., Musiln, Z., Dgole, P., Wangai, J., Dariu, D., Marina, K., Muni, M., Ligino, L., Kingua, N., Njogu, A., Musili, F., Karanja, O., Kobotta, P., Gachoki, S., Malot, W.R., Asige, I., Nasomtai, G., Odera, L., Dominic, M., Ntie, S., Ekome, S.E., Ndongo, A., Celestin, H., Georges, K.Y., Armand, K., Eugene, K.K., Fulgence, N., Moussa, K., Daouda, S., Paul, D., Yaya, B., Leocadie, A., Maurel, K.G., Alain, A.D.S., Joseph, A.A., Chiabeu Carene, A.H.B., Issouf, B., Franck, B.N., Nassiratou, B., Kouakou Kouman, E., N'Goran, G.V., Aymar, K.K., Francois, K.K.A., Olivier, K.K.G., Olivier, K.K., Konan, K.J., Sylvie, K.N., Lazare, K.E., Raphael, K.K., Pascale, K.R., Charles, K., Guy-Alex, K.H., Ramata, M.S., Abdoulaye, M., Baikoro, M., Charlene, N.A., Madeleine, N.I.S., Nalourougo, S., Amos, T.K.J., Therese, T., Diabate, W., Flroa, Y.A., Carlos, Y.J., Joel, S.G., Serge, Y.J., Philippe, O.A., Valery, S.K., and Gatien, Y.K.

Abstract

This working paper presents the overall and spatial accuracy assessment of the European Space Agency (ESA) 20 m prototype land cover map for Africa for four countries: Kenya, Gabon, Ivory Coast and South Africa. This accuracy assessment was undertaken as part of the ESA-funded CrowdVal project. The results varied from 44% (for South Africa) to 91% (for Gabon). In the case of Kenya (56% overall accuracy) and South Africa, these values are largely caused by the confusion between grassland and shrubland. However, if a weighted confusion matrix is used, which diminishes the importance of the confusion between grassland and shrubs, the overall accuracy for Kenya increases to 79% and for South Africa, 75%. The overall accuracy for Ivory Coast (47%) is a result of a highly fragmented land cover, which makes it a difficult country to map with remote sensing. The exception was Gabon with a high overall accuracy of 91%, but this can be explained by the high amount of tree cover across the country, which is a relatively easy class to map.

Published
2019

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