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A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA
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| Zeitschriftentitel: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
|---|---|
| Personen und Körperschaften: | , , |
| In: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-3, 2018, S. 1863-1870 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Copernicus GmbH
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| Schlagwörter: |
| author_facet |
Wei, Y. Lu, M. Wu, W. Wei, Y. Lu, M. Wu, W. |
|---|---|
| author |
Wei, Y. Lu, M. Wu, W. |
| spellingShingle |
Wei, Y. Lu, M. Wu, W. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA General Earth and Planetary Sciences General Environmental Science |
| author_sort |
wei, y. |
| spelling |
Wei, Y. Lu, M. Wu, W. 2194-9034 Copernicus GmbH General Earth and Planetary Sciences General Environmental Science http://dx.doi.org/10.5194/isprs-archives-xlii-3-1863-2018 <jats:p>Abstract. The food security, particularly in Africa, is a challenge to be resolved. The cropland area and spatial distribution obtained from remote sensing imagery are vital information. In this paper, according to cropland area and spatial location, we compare five global cropland datasets including CCI Land Cover, GlobCover, MODIS Collection 5, GlobeLand30 and Unified Cropland in circa 2010 of Africa in terms of cropland area and spatial location. The accuracy of cropland area calculated from five datasets was analyzed compared with statistic data. Based on validation samples, the accuracies of spatial location for the five cropland products were assessed by error matrix. The results show that GlobeLand30 has the best fitness with the statistics, followed by MODIS Collection 5 and Unified Cropland, GlobCover and CCI Land Cover have the lower accuracies. For the accuracy of spatial location of cropland, GlobeLand30 reaches the highest accuracy, followed by Unified Cropland, MODIS Collection 5 and GlobCover, CCI Land Cover has the lowest accuracy. The spatial location accuracy of five datasets in the Csa with suitable farming condition is generally higher than in the Bsk. </jats:p> A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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| title |
A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA |
| title_unstemmed |
A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA |
| title_full |
A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA |
| title_fullStr |
A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA |
| title_full_unstemmed |
A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA |
| title_short |
A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA |
| title_sort |
a comparative analysis of five cropland datasets in africa |
| topic |
General Earth and Planetary Sciences General Environmental Science |
| url |
http://dx.doi.org/10.5194/isprs-archives-xlii-3-1863-2018 |
| publishDate |
2018 |
| physical |
1863-1870 |
| description |
<jats:p>Abstract. The food security, particularly in Africa, is a challenge to be resolved. The cropland area and spatial distribution obtained from remote sensing imagery are vital information. In this paper, according to cropland area and spatial location, we compare five global cropland datasets including CCI Land Cover, GlobCover, MODIS Collection 5, GlobeLand30 and Unified Cropland in circa 2010 of Africa in terms of cropland area and spatial location. The accuracy of cropland area calculated from five datasets was analyzed compared with statistic data. Based on validation samples, the accuracies of spatial location for the five cropland products were assessed by error matrix. The results show that GlobeLand30 has the best fitness with the statistics, followed by MODIS Collection 5 and Unified Cropland, GlobCover and CCI Land Cover have the lower accuracies. For the accuracy of spatial location of cropland, GlobeLand30 reaches the highest accuracy, followed by Unified Cropland, MODIS Collection 5 and GlobCover, CCI Land Cover has the lowest accuracy. The spatial location accuracy of five datasets in the Csa with suitable farming condition is generally higher than in the Bsk.
</jats:p> |
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| author | Wei, Y., Lu, M., Wu, W. |
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| container_title | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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| description | <jats:p>Abstract. The food security, particularly in Africa, is a challenge to be resolved. The cropland area and spatial distribution obtained from remote sensing imagery are vital information. In this paper, according to cropland area and spatial location, we compare five global cropland datasets including CCI Land Cover, GlobCover, MODIS Collection 5, GlobeLand30 and Unified Cropland in circa 2010 of Africa in terms of cropland area and spatial location. The accuracy of cropland area calculated from five datasets was analyzed compared with statistic data. Based on validation samples, the accuracies of spatial location for the five cropland products were assessed by error matrix. The results show that GlobeLand30 has the best fitness with the statistics, followed by MODIS Collection 5 and Unified Cropland, GlobCover and CCI Land Cover have the lower accuracies. For the accuracy of spatial location of cropland, GlobeLand30 reaches the highest accuracy, followed by Unified Cropland, MODIS Collection 5 and GlobCover, CCI Land Cover has the lowest accuracy. The spatial location accuracy of five datasets in the Csa with suitable farming condition is generally higher than in the Bsk. </jats:p> |
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| spelling | Wei, Y. Lu, M. Wu, W. 2194-9034 Copernicus GmbH General Earth and Planetary Sciences General Environmental Science http://dx.doi.org/10.5194/isprs-archives-xlii-3-1863-2018 <jats:p>Abstract. The food security, particularly in Africa, is a challenge to be resolved. The cropland area and spatial distribution obtained from remote sensing imagery are vital information. In this paper, according to cropland area and spatial location, we compare five global cropland datasets including CCI Land Cover, GlobCover, MODIS Collection 5, GlobeLand30 and Unified Cropland in circa 2010 of Africa in terms of cropland area and spatial location. The accuracy of cropland area calculated from five datasets was analyzed compared with statistic data. Based on validation samples, the accuracies of spatial location for the five cropland products were assessed by error matrix. The results show that GlobeLand30 has the best fitness with the statistics, followed by MODIS Collection 5 and Unified Cropland, GlobCover and CCI Land Cover have the lower accuracies. For the accuracy of spatial location of cropland, GlobeLand30 reaches the highest accuracy, followed by Unified Cropland, MODIS Collection 5 and GlobCover, CCI Land Cover has the lowest accuracy. The spatial location accuracy of five datasets in the Csa with suitable farming condition is generally higher than in the Bsk. </jats:p> A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spellingShingle | Wei, Y., Lu, M., Wu, W., The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA, General Earth and Planetary Sciences, General Environmental Science |
| title | A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA |
| title_full | A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA |
| title_fullStr | A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA |
| title_full_unstemmed | A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA |
| title_short | A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA |
| title_sort | a comparative analysis of five cropland datasets in africa |
| title_unstemmed | A COMPARATIVE ANALYSIS OF FIVE CROPLAND DATASETS IN AFRICA |
| topic | General Earth and Planetary Sciences, General Environmental Science |
| url | http://dx.doi.org/10.5194/isprs-archives-xlii-3-1863-2018 |