Estimating Soil Moisture by Sentinel-1, Sentinel-2 and PRISMA Data: Assessment of Results and Comparison with in-situ Measurements
Author:
Affiliation:
1. Istituto per le Applicazioni del Calcolo (IAC),Consiglio Nazionale Delle Ricerche (CNR),Bari,Italy
2. DIAN Srl,Matera,Italy
3. Instituto Dom Luiz,Faculdade de Ciências,Universidade de Lisboa,Lisbon,Portugal
Funder
Regione Basilicata
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283034.pdf?arnumber=10283034
Reference4 articles.
1. Spectral index selection method for remote moisture sensing under challenging illumination conditions
2. Development of soil moisture indices from differences in water absorption between shortwave-infrared bands
3. An Algorithm for Estimating and Correcting Decorrelation Phase From InSAR Data Using Closure Phase Triplets
4. Soil Moisture Estimation Using Atmospherically Corrected C-Band InSAR Data
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