Modeling of the potential vegetation index of steppe in the western part of the Chinese Loess Plateau

Pengcheng Qi, Yan Cui
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Abstract

The Chinese Loess Plateau has experienced drastic human-induced land cover change in the last century. The Chinese government has planned a long-term project to restore the ecology and thus the environment. This effort requires the information of the ecological potential. This study presented a complete procedure for spatially modeling the potential vegetation index in arid Loess Plateau region. Spatially distributed wetness index was used to depict the environmental condition at each pixel. Enhanced Vegetation Index (EVI) of current steppe was obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) data. A statistical relationship between the wetness index and the MODIS EVI were established. Based on the statistical relationship, potential EVI was estimated at each pixel. The results show that: (1) the potential EVI ranges from 0.15 to 0.25, (2) actual EVI of irriguous farmlands is obviously greater than the potential EVI of them, and (3) actual EVI of urban area is lower than the potential EVI of them. We believe that the modeled result can effectively facilitate the vegetation restoration planning for this area. In addition, the result may function as a base against which to estimate the historic changes in land cover and land use.
中国黄土高原西部草原潜在植被指数的模拟
在过去的一个世纪里,中国黄土高原经历了剧烈的人为土地覆盖变化。中国政府规划了一项长期工程来恢复生态,从而恢复环境。这项工作需要有关生态潜力的信息。本文提出了一套完整的黄土高原干旱地区潜在植被指数空间模拟方法。利用空间分布的湿度指数来描述每个像素点的环境状况。利用中分辨率成像光谱辐射计(MODIS)数据获得了当前草原植被指数的增强值。建立了湿度指数与MODIS EVI之间的统计关系。根据统计关系,估计每个像素的潜在EVI。结果表明:(1)潜在EVI在0.15 ~ 0.25之间,(2)灌溉区实际EVI明显大于潜在EVI,(3)城区实际EVI低于潜在EVI。我们认为,模拟结果可以有效地促进该地区的植被恢复规划。此外,该结果可作为估计土地覆盖和土地利用历史变化的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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