Synergistic estimation of soil salinity based on Sentinel-1 image texture and Sentinel-2 salinity spectral indices
Author:
Affiliation:
1. Northwest A&F University, Ministry of Education, Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Yangling, China
2. Northwest A&F University, College of Language and Culture, Yangling, China
Publisher
SPIE-Intl Soc Optical Eng
Subject
General Earth and Planetary Sciences
Reference58 articles.
1. Analyzing spatiotemporal characteristics of soil salinity in arid irrigated agro-ecosystems using integrated approaches
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5. Comparing Sentinel-2 MSI and Landsat 8 OLI in soil salinity detection: a case study of agricultural lands in coastal North Carolina
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1. Weighted Variable Optimization-Based Method for Estimating Soil Salinity Using Multi-Source Remote Sensing Data: A Case Study in the Weiku Oasis, Xinjiang, China;Remote Sensing;2024-08-26
2. Monitoring soil salinity based on Sentinel-1/2 remote sensing parameters and two-dimensional space theory;Infrared Physics & Technology;2024-08
3. Complementarity of Sentinel-1 and Sentinel-2 Data for Soil Salinity Monitoring to Support Sustainable Agriculture Practices in the Central Bolivian Altiplano;Sustainability;2024-07-19
4. A longitudinal analysis of soil salinity changes using remotely sensed imageries;Scientific Reports;2024-05-06
5. Soil Salinity Estimation Based on Sentinel-1/2 Texture Features and Machine Learning;IEEE Sensors Journal;2024-05-01
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