Remote sensing of canopy variables for the application of hydrological models

被引：0
|
作者：
D'Urso, G. [1 ]
Santini, A. [1 ]
机构：
[1] Dept. of Agri. Eng./Agronomy, University of Naples Federico II, Via Università 100, Protici Naples I-80055, Italy
来源：
IAHS-AISH Publication | 2000年 / 267期
关键词：
Algorithms - Computer simulation - Crops - Evaporation - Meteorology - Remote sensing - Soils - Surface roughness - Weather satellites;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The integration of hydrological simulation models with satellite data is presented. Semi-empirical algorithms for retrieving biophysical parameters of land cover, such as leaf area index, surface albedo and canopy roughness, from remote sensing data with different spatial and temporal resolution are available. The spatial distribution of leaf area index (LAI), surface albedo and canopy roughness, derived from satellite images, can be used in conjunction with ground-based meteorological data for mapping the potential fluxes of soil evaporation and canopy transpiration. This information, together with soil properties data, provides the input data for the numerical simulation of soil and crop water flow processes.
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页码：476 / 480
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