The inversion model of soil organic matter of cultivated land based on hyperspectral technology

Xiaohe Gu; Yancang Wang; Xiaoyu Song; Xingang Xu

doi:10.1117/12.2194287

14 October 2015 The inversion model of soil organic matter of cultivated land based on hyperspectral technology

Xiaohe Gu, Yancang Wang, Xiaoyu Song, Xingang Xu

Proceedings Volume 9637, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII; 96370D (2015) https://doi.org/10.1117/12.2194287
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

Monitoring soil organic matter (SOM) in the cultivated land quantitively and mastering its spatial change are helpful for the adjustment of fertility and sustainable development of agriculture. The hyperspectral technology could be used to detect the targets quickly and nondestructively. The study aimed to develop a universal method to monitor SOM by hyperspectral data. The main idea of the study could be described as follows. Several mathematical transformations were used to improve the expression ability of hyperspectral data. The correlations between SOM and the hyperspectral reflectivity and its mathematical transformations were analyzed. Then the feature bands and its transformations were screened to develop the optimizing model of monitoring SOM based on the method of multiple linear regressions. The in-situ sample was used to evaluate the accuracy of the model. Results showed that the inversion model with the one differentiation of logarithmic reciprocal transformation ( ^{(1 lg P)'}) of reflectivity could reach highest correlation coefficient (0.643) with lowest RMSE (2.622 g/kg), which was considered as the optimizing inversion model of SOM. It indicated that the one differentiation of logarithmic reciprocal transformation of hyperspectral had good response with SOM of cultivated land. Based on this transformation, the optimizing inversion model of SOM could reach good accuracy with high stability.

Citation Download Citation

Xiaohe Gu, Yancang Wang, Xiaoyu Song, and Xingang Xu "The inversion model of soil organic matter of cultivated land based on hyperspectral technology", Proc. SPIE 9637, Remote Sensing for Agriculture, Ecosystems, and Hydrology XVII, 96370D (14 October 2015); https://doi.org/10.1117/12.2194287

ACCESS THE FULL ARTICLE

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: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Reflectivity

Mathematical modeling

Data modeling

Statistical modeling

Hyperspectral target detection

Soil science

Target detection

Show All Keywords

Keywords/Phrases

Search In:

Publication Years