Application of sentinel-1 SAR-derived vegetation descriptors for soil moisture retrieval and plant height prediction during the wheat growth cycle. Issue 3 (1st February 2023)

• Record Type: Journal Article
• Authors: Dave, Rucha; Saha, Koushik; Kushwaha, Amit; Pandey, Dharmendra Kumar; Vithalpura, Manisha; Parath, Nidhin; Murugesan, Abishek
• Is Part Of: International journal of remote sensing. Volume 44:Issue 3(2023)
• Page Start: 786
• Page End: 801
• Publication Date: 2023-02-01
• Subjects: Soil moisture -- Water Cloud Model, Sentinel-1 -- Vegetation descriptors -- Plant height; Remote sensing -- Periodicals; Télédétection -- Périodiques; 621.3678
• DOI: 10.1080/01431161.2023.2170193
• Languages: English
• ISSNs: 0143-1161

Abstract

ABSTRACT: Soil moisture is the crucialparameter impacting the plant growth during its phenological cycle. The Water Cloud Model (WCM) is one of the most widely used semi-empirical models for retrieval of soil moisture of vegetated lands from synthetic aperture radar (SAR) images. The model considers the effect of soil as well as vegetation on the radar backscatter. The study assesses the applicability of Sentinel-1 SAR-derived vegetation descriptors in the WCM for soil moisture retrieval during the wheat growth cycle. Various combinations of vegetation descriptors (V1 and V2 ), viz . VH polarized backscatter coefficient (σ 0 VH ), Radar Vegetation Index (RVI) and depolarization ratio (χv ), were used in the model. The model performed better when different parameters are used as vegetation descriptors (V1 ≠V2 ) in the WCM rather than using the same parameter for both the vegetation descriptors (V1 = V2 ). The best results were observed when σ 0 VH was considered as one of the vegetation descriptors (V1 ) while either χv or RVI were utilized as the other vegetation descriptor (V2 ) giving a Pearson correlation coefficient (R) of 0.959 and 0.958 and a root mean square error (RMSE) of 0.499 dB and 0.516 dB respectively. The validation of the model-retrieved soil moisture against the in-situ measured values gave an R value of 0.72 and a RMSE of 0.096m 3 /m 3 . The plant height was also predicted by the WCM in which the retrieved soil moisture from SAR data was used as a parameter. The predicted plant height was compared to in-situ measured plant height and an R value of 0.76 and RMSE of 0.214 was obtained as the best result. The study demonstrates the capability of SAR-derived parameters as vegetation descriptors in the WCM for soil moisture retrieval.