Assessment of surface soil moisture from ALOS PALSAR 2 in small scale maize felds using polarimetric decomposition technique

Gururaj, Punithraj; Umesh, Pruthviraj; Shetty, Amba

doi:10.1007/s11600-021-00557-x

Artykuł - szczegóły

Tytuł artykułu

Assessment of surface soil moisture from ALOS PALSAR 2 in small scale maize felds using polarimetric decomposition technique

Autorzy

Gururaj Punithraj , Umesh Pruthviraj , Shetty Amba

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-021-00557-x

Warianty tytułu

Języki publikacji

Abstrakty

Surface soil moisture knowledge is important, especially in agriculture and irrigation management. Properties of microwave remote sensing like penetration power and longer wavelength facilitate retrieval of surface soil moisture. ALOS PALSAR-2, quad polarized data are used to retrieve surface soil moisture using polarization decomposition techniques in a marginal farmer small-scale maize feld. The focus of the study is to explore the utility of ALOS PALSAR-2 in retrieving surface soil moisture using the polarization decomposition technique. The demonstration of the study is carried out in Malavalli village, southern India, an agricultural predominant area. The study involves feld soil moisture sampling in synchronous with satellite pass, measuring soil properties, preprocessing of SAR data, polarization decomposition, proportional analysis, regression analysis, model calibration and validation. Van Zyl decomposition gave the highest surface scattering component (43%) and reduced volumetric scattering component compared to Yamaguchi and Freeman–Durden decomposition. Surface scattering component of Yamaguchi decomposition gave a good coefcient of determination (R2=0.8029) with feld-measured surface soil moisture. The semi-empirical model (SEM) was developed using surface scattering component and depolarization ratio with adjusted R2=0.75 at 95% confdence interval. On its comparison with existing soil moisture models, it is observed that the developed model is performing well with RMSE and AEmax of 1.81 and 2.88, respectively. Implying the applicability of ALOS PALSAR-2 in soil moisture retrieval in marginal farmer small-scale maize felds gave satisfactory results of accuracy.

Słowa kluczowe

polarization decomposition surface soil moisture ALOS PALSAR–2 & X-Bragg

rozkład polaryzacji wilgotność powierzchni gleby ALOS PALSAR-2 i X-Bragg

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2021

Tom

Vol. 69, no. 2

Strony

579--588

Opis fizyczny

Bibliogr. 39 poz.

Twórcy

autor

Gururaj Punithraj

puniththeraj@gmail.com

Department of Water Resources and Ocean Engineering, NITK, Surathkal, India

autor

Umesh Pruthviraj

Department of Water Resources and Ocean Engineering, NITK, Surathkal, India

autor

Shetty Amba

Department of Water Resources and Ocean Engineering, NITK, Surathkal, India

Bibliografia

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Typ dokumentu

Bibliografia

Identyfikator YADDA

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