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首页> 外文期刊>International journal of remote sensing >Classification of arid lands, including soil degradation and irrigated areas, based on vegetation and aridity indices
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Classification of arid lands, including soil degradation and irrigated areas, based on vegetation and aridity indices

机译:基于植被和干旱指数的干旱土地分类,包括土壤退化和灌溉区域

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摘要

It is preferable to prepare internally consistent maps of arid regions on a global scale in order to understand the present conditions of arid regions, especially deserts and soil degradation areas. We attempted to delimit arid regions at a global scale by combining climate data, i.e. aridity index (AI), and vegetation data, i.e. vegetation index. The annual AI was estimated by the ratio of mean annual precipitation to mean annual potential evapotranspiration, using the Thornthwaite method. The long-term mean of yearly maximum normalized difference vegetation index (NDVI_(ymx)) was used as an indicator of the vegetation condition. Arid regions of the world were classified into four categories, namely A, severe deserts, where both aridity and vegetation indices are very small; G, semi-arid regions, where the vegetation index is proportionally related to the AI; I, irrigated areas and oases, where the vegetation is relatively abundant despite severe dryness; and S, soil degradation areas, where the vegetation is poor despite relatively humid conditions. The Sahel from Niger to Chad, the Sahel in Darfur, and the Ordos Plateau in China are within Category S. The standard deviation of NDVI_(ymx) is very small/large in severe deserts/semi-arid areas, respectively. Thus, the Sahara desert was clearly distinguished from the Sahel; the latter belongs to Category G and drought occurs frequently here. In Category S zones, the standard deviation of NDVI_(ymx) is relatively small compared with that within the Category G zone because the return rainfall does not seem to promptly restore productivity. Category S was divided into three subdivisions according to the degree of degradation, expressed by the ratio of the AI to vegetation index. Category G was also divided into four classes, according to degree of vegetation (or aridity). The distribution of Category S is comparable to the soil degradation areas mapped by Global Assessment of Human-Induced Soil Degradation (GLASOD) data. True deserts, where the standard deviation of NDVI_(ymx) is very small, were selected from the 'severe desert' group. Desert areas were classified as true deserts, severe deserts, grassland deserts (Category G), and soil degradation deserts (Category S).
机译:为了了解干旱地区,特别是沙漠和土壤退化地区的现状,最好在全球范围内准备干旱地区内部一致的地图。我们试图通过组合气候数据(即干旱指数(AI))和植被数据(即植被指数)在全球范围内划定干旱地区。使用Thornthwaite方法,通过年平均降水量与年平均潜在蒸散量之比估算年AI。年最大归一化差异植被指数的长期平均值(NDVI_(ymx))被用作植被状况的指标。世界上的干旱地区分为四类,即A,严重沙漠,其干旱和植被指数都非常小。 G,半干旱地区,植被指数与AI呈正比关系;一,灌溉区域和绿洲,尽管干旱严重,植被相对丰富; S是土壤退化地区,尽管条件相对潮湿,但植被仍然贫瘠。从尼日尔到乍得的萨赫勒地区,达尔富尔的萨赫勒地区和中国的鄂尔多斯高原都在S类之内。在严重的沙漠地区/半干旱地区,NDVI_(ymx)的标准偏差非常小/很大。因此,撒哈拉沙漠与萨赫勒地区有明显区别。后者属于G类,这里经常发生干旱。在S类区域中,NDVI_(ymx)的标准偏差与G类区域中的标准偏差相比相对较小,因为返回的降雨似乎并不能迅速恢复生产力。根据退化程度,将S类划分为三个细分,以AI与植被指数的比率表示。根据植被(或干旱)的程度,G类也分为四类。 S类的分布与人为诱发的土壤退化全球评估(GLASOD)数据绘制的土壤退化区域具有可比性。从“严重沙漠”组中选择了NDVI_(ymx)的标准偏差很小的真实沙漠。沙漠地区分为真实沙漠,严重沙漠,草原沙漠(G类)和土壤退化沙漠(S类)。

著录项

  • 来源
    《International journal of remote sensing》 |2013年第20期|6701-6722|共22页
  • 作者单位

    National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki 305-8569, Japan;

    Arid Land Research Centre, Tottori University, 1390 Hamasaka, Tottori 680-0001, Japan;

    National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Ibaraki 305-8569, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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