The Monitoring Method and Model of Deep Soil Layer Moistures by Remotely Sensed Data

Chen Huailiang; Feng Dingyuan; Zou Chunhui; Guan Wenya

Vol.10, NO.2, 1999

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 1999 > 10(2): 231-237

Chen Huailiang, Feng Dingyuan, Zou Chunhui, et al. The monitoring method and model of deep soil layer moistures by remotely sensed data. J Appl Meteor Sci, 1999, 10(2): 231-237.

Citation:

Chen Huailiang, Feng Dingyuan, Zou Chunhui, et al. The monitoring method and model of deep soil layer moistures by remotely sensed data. J Appl Meteor Sci, 1999, 10(2): 231-237.

Chen Huailiang, Feng Dingyuan, Zou Chunhui, et al. The monitoring method and model of deep soil layer moistures by remotely sensed data. J Appl Meteor Sci, 1999, 10(2): 231-237.

Citation:

Chen Huailiang, Feng Dingyuan, Zou Chunhui, et al. The monitoring method and model of deep soil layer moistures by remotely sensed data. J Appl Meteor Sci, 1999, 10(2): 231-237.

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The Monitoring Method and Model of Deep Soil Layer Moistures by Remotely Sensed Data

1.
1) (Henan Research Institute of Meteorological Sciences, Zhengzhou 450003); 2) (Nanjing Institute of Meteorology, Nanjing 210044)

Publish Date: 1999-05-31

Abstract

Abstract

By using NOAA/AVHRR remotely sensed data, the monitoring method and model of deep soil layer moisture with GIS technology based on thermal inertia are developed. The results show that the effects of the deep soil layer moistures calculated from soil surface moistures obtained by remote sensing are better than those in establishing a statistical model directly by distinguishing soil layers, a good nonlinear relation exists between the soil surface layer moisture and deep soil layer moisture.
- Remotely sensed data;
- Thermal inertia;
- Deep soil layer moisture