Soil Moisture Monitoring Based on Angle Dryness Index

• Published in: Guang pu xue yu guang pu fen xi Vol. 36; no. 5; p. 1378
• Main Authors: Gao, Zhong-ling, Wang, Jian-hua, Zheng, Xiao-po, Sun, Yue-jun, Qin, Qi-ming
• Format: Journal Article
• Language: Chinese
• Published: China 01.05.2016
• ISSN: 1000-0593
• DOI: 10.3964/j.issn.1000-0593(2016)05-1378-04

Soil moisture content (SMC) is one of the most important indicators influencing the exchange of energy and water among vegetation, soil, and the atmosphere. Accurate detection of soil moisture content is beneficial to improving the precision of crop yield evaluating and field management measures. In this paper, a novel method ADI (Angle Dryness Index) based on NIR-RED spectral feature space used for calculating SMC was proposed, which improved the accuracy of calculating SMC with red and near infrared band reflectance. It was found that an intermediate parameter θ in NIR-RED feature space was significantly related to SMC, and independent of vegetation coverage according to the linear decomposition of mixed pixel and the empirical correlation between SMC and red/NIR band reflectance which were achieved by previous researches. Then, ADI was proposed with the feature discovered in the paper. The mathematical expression on SMC is nonlinear, and the newton iterative method is applied to ADI for calculation SMC. Th