| This article has been：Browse 1752Times Download 2538Times |
scan it! |
|
|
| DOI：10.13522/j.cnki.ggps.20190010 |
|
| Retrieving Soil Moisture Using Spectral Mixture Analysis of Landsat8 and the Moderate Resolution Imaging Spectroradiometer |
|
GONG Wenjun, GUO Yifei, WANG Wenting, HENG Weidong
|
|
1.Guangli Irrigation District Administration Bureau of Jiaozuo, Henan Province, Jiaozuo 454550, China; 2. School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China; 3. Jiaozuo Water Conservancy Survey and Design Institute, Jiaozuo 454003, China; 4. School of Water Conservancy & Environmental, Zhengzhou University, Zhengzhou 450001, China
|
| Abstract: |
| 【Objective】 Soil moisture plays a critical role in many hydrological and ecological processes and understanding its spatiotemporal changes is imperative to ecosystem management and irrigation design. This paper presents and tests a method to estimate soil moisture distribution using satellite technologies. 【Method】 We took Guangli Irrigation District at Jiaozuo in Henan Province as our study area. The Landsat-8 and MODIS imageries from the area were used to retrieve soil moisture with the apparent thermal inertia and vegetation water supply index, respectively. Using the abundance of vegetation and soil moisture decomposed by the spectral mixture analysis as weighting factors, we retrieved the soil moisture distribution in the area using the two methods. 【Result】The correlation coefficient between the measured soil moisture and the retrieved using the vegetation water supply index method and the apparent thermal inertia method was 0.47 and 0.51 respectively. We found that combining the two methods could improve the correlation coefficient between the measured and retrieved soil moisture to 0.73.【Conclusion】 Our results showed that the proposed method is reliable and can adequately estimate soil moisture in irrigation district grown with a diverse of crops. |
| Key words: Remote sensing; apparent thermal inertia; vegetation water supply index; mixed pixel decomposition; soil moisture |
|
|
