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Soil water content monitoring: a verification of thermal inertia approaches on low spatial, high temporal resolutions images

机译:土壤含水量监测:在低空间,高时间分辨率图像上验证热惯性方法

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摘要

Soil water content is directly connected with soil evaporation and plant transpiration processes; in particular, soil water content within the root zone, is readily available to evapotranspiration. Thus, in agricultural sciences, the assessment of the spatial distribution of soil water content could be of utmost importance in evaluating crop water requirement. In spite of limitations to applicability due to contingent cloud cover, water content of the upper part of the soil can be determined by applying the thermal inertia approach by coupling optical and thermal infrared images. The thermal inertia formulation, rigorously retrieved on bare soil, has been also verified on soils partially covered by vegetation. In each case, one of the crucial steps is the assessment of the phase difference between surface temperature and solar irradiation. Different approaches allow determining this latter parameter. To this aim, three formulations to retrieve the phase difference were tested: ⅰ) the first, assuming a spatially constant value based on the knowledge of the time when maximum surface temperature occurs; ⅱ) other two methods, allowing determining its spatial distribution through three or four thermographies. In this framework, this research is focused to establish the simplest operational approach providing reliable results over time using low-resolution MODIS images collected over an agricultural area of South Italy (Campania). Temporal evolution of the remote sensing estimates have been compared to data collected by the micro-meteorological station installed in a vineyard within the area.
机译:土壤水分与土壤蒸发和植物蒸腾过程直接相关;特别是根部区域内的土壤水分易于蒸发蒸腾。因此,在农业科学中,土壤水分含量空间分布的评估对评估作物需水量至关重要。尽管由于偶然的云层覆盖而限制了适用性,但可以通过结合光学和热红外图像采用热惯性方法来确定土壤上部的水分含量。在裸露的土壤上严格回收的热惯性公式也已在部分植被覆盖的土壤上得到验证。在每种情况下,关键步骤之一就是评估表面温度和太阳辐射之间的相位差。不同的方法允许确定后一个参数。为此目的,测试了三种恢复相差的公式:ⅰ)第一种,根据对最高表面温度的出现时间的了解,假定其空间常数为常数; ⅱ)其他两种方法,允许通过三个或四个热像图确定其空间分布。在此框架下,本研究专注于建立最简单的操作方法,使用在意大利南部(坎帕尼亚)的农业地区收集的低分辨率MODIS图像,随着时间的推移提供可靠结果。已将遥感估算的时间演变与安装在该地区葡萄园中的微气象站收集的数据进行了比较。

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  • 来源
  • 会议地点 Dresden(DE)
  • 作者单位

    Universita degli Studi di Palermo, Dipartimento di Ingegneria Civile Ambientale, Aerospaziale e dei Materiali, Italy;

    Universita degli Studi di Palermo, Dipartimento di Ingegneria Civile Ambientale, Aerospaziale e dei Materiali, Italy;

    Universita di Napoli Federico Ⅱ, Dipartimento di Ingegneria Agraria ed Agronomia del Territorio, Italy;

    Dipartimento di Ingegneria deH'Informazione, Ingegneria Elettrica e Matematica Applicata, Universita di Salerno, Italy;

    Dipartimento di Ingegneria deH'Informazione, Ingegneria Elettrica e Matematica Applicata, Universita di Salerno, Italy;

    Dipartimento di Ingegneria deH'Informazione, Ingegneria Elettrica e Matematica Applicata, Universita di Salerno, Italy;

    Dipartimento di Ingegneria deH'Informazione, Ingegneria Elettrica e Matematica Applicata, Universita di Salerno, Italy;

    Dipartimento di Ingegneria deH'Informazione, Ingegneria Elettrica e Matematica Applicata, Universita di Salerno, Italy;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    thermal inertia; soil water content; phase difference; MODIS;

    机译:热惯性土壤含水量;相位差莫迪斯;
  • 入库时间 2022-08-26 13:45:17

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