Dr. Wen Ma Profile

Dr. Wen Ma

at BSEDI

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 | 12 March 2019 Paper

Application and research of hyperspectral data in ground environment situation assessment

Wen Ma, Tong Zhang, Chunhong Dong

Proceedings Volume 11023, 110232K (2019) https://doi.org/10.1117/12.2521219

KEYWORDS: Remote sensing, Data modeling, Environmental monitoring, Environmental sensing, Sensors, Data fusion, Vegetation, Atmospheric modeling, Image fusion, Calibration

Read Abstract +

This study aims to establish a model for environmental situation assessment using hyperspectral data and apply it to regional and planning environmental assessments in the Northwest. The main research contents include: 1. The fusion of multi-level remote sensing technology. Hyperspectral data is a powerful complement to the ground environment monitoring data with its large scale and high precision. A multi-level remote sensing data processing mode integrating ground test, UAV remote sensing and satellite remote sensing is established. 2. The establishment of quantitative remote sensing analysis model. By determining the distribution range, location and extent of the relevant indicators of the target environment, combining the fixed field survey and the analysis of the on-site monitoring data, the eigenvalues are obtained, and the two are combined to establish a quantitative model for the identification of the fine environmental indicators of the environmental situation changes at large scales. 3. Application in the assessment of regional environmental situation in the Gobi region of the northwestern desert. Through the fusion analysis of ground test and high-resolution satellite remote sensing data, a quantitative model of regional desertification, plant disease and other environmental indicators is established. Combined with the analysis of hyperspectral remote sensing data in the planned area within two years, the progress and trend of environmental situation change can be known. This technology can be used to determine the impact of land desertification on planning and construction and the degree of risk.

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