首页> 外文会议>Remote sensing for agriculture, ecosystems, and hydrology XIV >Spatialization of Instantaneous and daily average net radiation and Soil Heat Flux in the Territory of Itaparica, Northeast Brazil
【24h】

Spatialization of Instantaneous and daily average net radiation and Soil Heat Flux in the Territory of Itaparica, Northeast Brazil

机译:巴西东北部Itaparica领土的瞬时和每日平均净辐射与土壤热通量的空间分布

获取原文
获取原文并翻译 | 示例

摘要

This work has as aim to quantify the energy changes between atmosphere and surface by modeling both net radiation and soil heat flux related to land use and land cover. The methodology took into account modeling and mapping of physical and biophysical parameters using MODIS images and SEBAL algorithm in an area of native vegetation and irrigated crops. The results showed that there are variations in the values of the estimated parameters for different land cover types and mainly in caatinga cover. The dense caatinga presents mean values of soil heat flux (Go) of 124.9 Wm"2 while sparse caatinga with incidence of erosion, present average value of 132.6 Wm~(-2). For irrigated plots cultivated with banana, coconut and papaya the mean Go values were 103.8, 98.6 and 113.9 Wm~(-2), respectively. With regard to the instantaneous net radiation (Rn), dense caatinga presented mean value of 626.1 Wm-(-2), while sparse caatinga a mean value of 575.2 Wm~(-2). Irrigated areas cultivated with banana, coconut and papaya presented Rn of 658.1, 647.4 and 617.9 W m~(-2), respectively. Applying daily mean net radiation (Rn_(DAVE)) it was found that dense caatinga had a mean value of 417.1 W m~(-2) while sparse caatinga had a mean value of 379.9 W m~(-2). For the irrigated crops of banana, coconut and papaya the Rn_(DAVE) values were 430.9, 431.3 and 411.6 W m~(-2), respectively. Sinusoidal model can be applied to determine the maximum and Rn_(DAVE) considering the diverse classes of LULC; however, there is a need to compare the results with field data for validation of this model.
机译:这项工作旨在通过对与土地利用和土地覆盖有关的净辐射和土壤热通量进行建模,以量化大气与地面之间的能量变化。该方法考虑了使用MODIS图像和SEBAL算法在本地植被和灌溉作物区域中对物理和生物物理参数进行建模和映射的方法。结果表明,不同土地覆盖类型的估计参数值存在差异,并且主要在caatinga覆盖范围内。密集的caatinga的平均土壤热通量(Go)值为124.9 Wm“ 2,而稀疏的caatinga的平均侵蚀值为132.6 Wm〜(-2)。对于用香蕉,椰子和木瓜种植的灌溉地块,平均值Go值分别为103.8、98.6和113.9 Wm〜(-2),关于瞬时净辐射(Rn),致密caatinga的平均值为626.1 Wm-(-2),而稀疏caatinga的平均值为575.2。 Wm〜(-2)。香蕉,椰子和木瓜种植的灌溉区的Rn分别为658.1、647.4和617.9 W m〜(-2),应用日平均净辐射(Rn_(DAVE))可以发现, caatinga的平均值为417.1 W m〜(-2),而稀疏的caatinga的平均值为379.9 W m〜(-2)。对于香蕉,椰子和木瓜的灌溉作物,Rn_(DAVE)值为430.9,考虑到LULC的不同类别,可以分别使用431.3和411.6 W m〜(-2)的正弦模型来确定最大值和Rn_(DAVE);但是,需要将结果与现场数据进行比较以验证该模型。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号