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Landscape Approach to the Modeling of Land-Cover Dynamics with Remote Methods
Arid Ecosystems ( IF 0.6 ) Pub Date : 2020-03-23 , DOI: 10.1134/s2079096120010096
T. I. Kharitonova , N. V. Surkov

Abstract

The article discusses remote methods for the description of the intraseasonal dynamics of soil and vegetation moisture. The field moisture content of the soil and vegetation cover is described by an integral indicator that takes into account the moisture content of the upper soil horizon (5–10 cm), grass phytomass, and leaves of trees and shrubs. The integrated field moisture demonstrates a reliable association with the normalized differential water index (NDWI); the determination coefficient R2 reaches values of 0.91 for individual classes of tracts. The most significant factors determining the loss of moisture during the summer period are the amount of photosynthetically active phytomass, the potential influx of solar radiation during the study period, and the moisture reserve in the soil and vegetation at the beginning of the growing season. These factors describe 67% of the NDWI difference between May and August 2016 in forest areas and 89% in the steppes. The results can be used to search for fire hazardous areas in the steppes and forests, as well as for the monitoring of vineyards.


中文翻译:

景观方法在土地覆盖动力学中的远程建模

摘要

本文讨论了描述土壤和植被水分季节动态的远程方法。土壤和植被覆盖层的田间水分含量由一个综合指标来描述,该指标考虑了上层土壤层(5-10厘米),草类植物以及树木和灌木叶的水分含量。积分的田间水分显示出与归一化微分水分指数(NDWI)的可靠关联;确定系数R 2单个类别的类别的值达到0.91。决定夏季水分流失的最重要因素是光合作用活性植物的数量,研究期太阳辐射的潜在流入量以及生长季节开始时土壤和植被中的水分储备。这些因素描述了2016年5月至2016年8月森林地区NDWI差异的67%,草原地区89%的NDWI。结果可用于搜索草原和森林中的火灾隐患区域,以及用于监视葡萄园。
更新日期:2020-03-23
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