Mr. Yingjie Wu Profile

Yingjie Wu

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 16 May 2024 Paper

Accurate identification of soil moisture in Mu Us Sandy Land based on multi-source remote sensing data

Sinan Wang, Wenjun Wang, Yingjie Wu, Fuqiang Wang, Bin Fu

Proceedings Volume 13166, 131660C (2024) https://doi.org/10.1117/12.3029081

KEYWORDS: Soil moisture, Soil science, Data modeling, Random forests, Vegetation, Remote sensing, Modeling, Statistical modeling, Calibration, Water content

Read Abstract +

Apart from being essential to the development of grasslands and crops, soil moisture has a significant impact on the water cycle and the global climate. Drawing from multispectral Landsat 8 OLI photos, Added to this study, soil moisture was simultaneously measured in the field based on topographic parameters and surface biophysical features. Soil moisture inversion models of multivariable linear regression (MLR) and random forest (RF) were constructed by empirical model method. And compared with inverse distance weighting (IDW). The findings demonstrated the dependence of surface soil moisture on surface biophysical characteristics was high, with the highest inversion accuracy of random forest, in which the R² of RF model was above 0.8 in both months, which was at least 8% higher than that of MLR model, and at least 11% higher than that of IDW model, and the corresponding RMSE was the smallest in both months. In various months, the main variables influencing the soil moisture content were elevation and surface temperature. The investigation's area had low overall soil moisture content, with most of it having less than 20. High, steep slopes in the north and southeast of the area had higher soil moisture content, whereas the region's flat areas in the north-central region had lower soil moisture content.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years