遇见数据集

Rangeland Analysis Platform - vegetation cover v2 1986

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Zenodo2021-12-07 更新2026-05-25 收录
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Rangeland Analysis Platform vegetation cover v2 1986 These data represent rangeland cover estimates determined by Allred et al. (2021)<br> and as accessible on the Rangeland Analysis Platform (https://rangelands.app).<br> Values are estimates of aerial cover for the following rangeland functional groups: Band 1 - annual forb and grass<br> Band 2 - bare ground<br> Band 3 - litter<br> Band 4 - perennial forb and grass<br> Band 5 - shrub<br> Band 6 - tree<br> No Data value = 255 Although these data were produced across a broad region, they are primarily<br> intended for rangeland ecosystems. Cover estimates may not be suitable in other<br> ecosystems, e.g., forests, agricultural lands. Uncertainty values are not included. Data are in WGS84 Geographic Coordinate System (EPSG:4326); spatial resolution<br> is approximately 30m. Please attribute these data to:<br> Allred, B.W., B.T. Bestelmeyer, C.S. Boyd, C. Brown, K.W. Davies, M.C. Duniway, L.M. Ellsworth, T.A. Erickson, S.D. Fuhlendorf, T.V. Griffiths, V. Jansen, M.O. Jones, J. Karl, A. Knight, J.D. Maestas, J.J. Maynard, S.E. McCord, D.E. Naugle, H.D. Starns, D. Twidwell, and D.R. Uden. 2021. Improving Landsat predictions of rangeland fractional cover with multitask learning and uncertainty. Methods in ecology and evolution. http://dx.doi.org/10.1111/2041-210x.13564

牧场分析平台(Rangeland Analysis Platform)1986年版植被覆盖v2数据集。本数据集为Allred等人(2021年)生成的牧场覆盖度估算数据,可通过牧场分析平台(https://rangelands.app)获取。 数据对应以下牧场功能群的地表覆盖占比估算值: 波段1——一年生杂类草与禾草; 波段2——裸地; 波段3——枯落物; 波段4——多年生杂类草与禾草; 波段5——灌丛; 波段6——乔木。 无数据值为255。 尽管本数据集覆盖范围较广,但主要面向牧场生态系统,其覆盖度估算值不适用于森林、农田等其他生态系统,且未包含不确定性数值。 数据集采用WGS84地理坐标系(WGS84 Geographic Coordinate System,EPSG:4326),空间分辨率约为30米。 请按以下方式引用本数据集: Allred, B.W.、B.T. Bestelmeyer、C.S. Boyd、C. Brown、K.W. Davies、M.C. Duniway、L.M. Ellsworth、T.A. Erickson、S.D. Fuhlendorf、T.V. Griffiths、V. Jansen、M.O. Jones、J. Karl、A. Knight、J.D. Maestas、J.J. Maynard、S.E. McCord、D.E. Naugle、H.D. Starns、D. Twidwell及D.R. Uden. 2021. 利用多任务学习与不确定性分析提升Landsat遥感的牧场分盖度预测精度. 《生态学与进化方法》. http://dx.doi.org/10.1111/2041-210x.13564

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2021-12-07
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