Monitoring soil salinity in coastal wetlands with Sentinel-2 MSI data: Combining fractional-order derivatives and stacked machine learning models
Monitoring soil salinity is essential for understanding the behavior of coastal wetland ecosystems and implementing effective management strategies. Despite the advantages of the Multi-Spectral Instrument (MSI) data for large-scale, high-frequency soil salinity monitoring, challenges remain in data...
Saved in:
| Main Authors: | Congcong Lao, Xiayang Yu, Lucheng Zhan, Pei Xin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-12-01
|
| Series: | Agricultural Water Management |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377424004839 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automated detection of granitic complexes in NW Parwan, NE Afghanistan using Sentinel-2B/MSI and ASTER data
by: Noor Rahman Rahmani, et al.
Published: (2024-11-01) -
Assessing the impact of drought on Zlatar Lake area changes using Random Forest with Sentinel-1 SAR and Sentinel-2 multispectral data
by: Nikolić Ratko R.
Published: (2024-01-01) -
Concordance between immunohistochemistry and MSI analysis for detection of MMR/MSI status in colorectal cancer patients
by: Muhammad Ishaque Faizee, et al.
Published: (2024-11-01) -
Detection and Analysis of Burned Areas with Sentinel-2 MSI and Landsat-8 OLI: Çanakkale / Gelibolu Forest Fire
by: Beyza Yılmaz, et al.
Published: (2022-01-01) -
Centroid-based endmember optimization of the triangular space method for fractional cover estimation: Mapping fractional cover of a vegetated ecosystem on Sentinel-3 OLCI image
by: Jia Tian, et al.
Published: (2024-11-01)