Integrating local knowledge and remote sensing for eco-type classification map in the Barotse Floodplain, Zambia.

Integrating local knowledge and remote sensing for eco-type classification map in the Barotse Floodplain, Zambia.
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DOI:
10.1016/j.dib.2018.07.009
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发表时间:
2018-08
期刊:
影响因子:
1.2
通讯作者:
Estrada-Carmona N
Estrada-Carmona N
中科院分区:
其他
文献类型:
--
作者:
Del Rio T;Groot JCJ;DeClerck F;Estrada-Carmona N

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这幅生态类型图展示了赞比亚巴洛特塞兰三个村庄中植被独特、易受洪水(或干旱)影响的土地单元。知识和生态类型的描述是从参与性绘图和焦点小组讨论中收集的,有77名来自马蓬古、莱鲁伊和纳利托亚的参与者。我们使用了2014年3月24日和7月14日拍摄的两张Landsat 8增强型专题成像仪(TM)图像(路径175,第71行)来计算水位和植被类型,这是Lozi人区分生态类型的两个主要标准。我们使用水指数(WI)计算水位,使用归一化植被指数(NDVI)计算植被类型。我们还计算了归一化燃烧比(NBR)指数。我们在2014年排除了烧毁的区域,并建立了区域以减少分类错误。控制点包括来自99个农民田地、91个100平方米的地块和在每个村庄周围6公里半径内随机选择的65个航路点的实地数据。我们还使用Google Earth Pro在全年洪水泛滥的地区创建控制点(例如,深沃茨和大运河)、成片的森林和建筑区。生态类型图的分类精度为81%,像素分辨率为30 m。生态类型图为Barotse洪泛区的农业和景观保护规划提供了有用的资源。
This eco-type map presents land units with distinct vegetation and exposure to floods (or droughts) in three villages in the Barotseland, Zambia. The knowledge and eco-types descriptions were collected from participatory mapping and focus group discussions with 77 participants from Mapungu, Lealui, and Nalitoya. We used two Landsat 8 Enhanced Thematic Mapper (TM) images taken in March 24th and July 14th, 2014 (path 175, row 71) to calculate water level and vegetation type which are the two main criteria used by Lozi People for differentiating eco-types. We calculated water levels by using the Water Index (WI) and vegetation type by using the Normalized Difference Vegetation Index (NDVI). We also calculated the Normalized Burn Ratio (NBR) index. We excluded burned areas in 2014 and built areas to reduce classification error. Control points include field data from 99 farmers’ fields, 91 plots of 100 m2 and 65 waypoints randomly selected in a 6 km radius around each village. We also used Google Earth Pro to create control points in areas flooded year-round (e.g., deep waters and large canals), patches of forest and built areas. The eco-type map has a classification accuracy of 81% and a pixel resolution of 30 m. The eco-type map provides a useful resource for agriculture and conservation planning at the landscape level in the Barotse Floodplain.
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