QR-Code

Enhancing Spatiotemporal Resolution of MCCA SMAP Soil Moisture Products over China: A Comparative Study of Machine Learning-Based Downscaling Approaches

As a key parameter of the Earth’s ecosystem, soil moisture significantly influences land-atmosphere interactions and has important applications in meteorology, hydrology, and agricultural studies. However, existing passive microwave remote sensing products of soil moisture are limited by their disco...

Ausführliche Beschreibung

Gespeichert in:
Bibliografische Detailangaben
Hauptverfasser: Zhuoer Ma, Peng Chen, Hao Chen, Hang Liu, Yuchen Zhang, Binyi Huang, Yang Hong, Shizheng Sun
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2026-02-01
Schriftenreihe:Sensors
Schlagworte:
Online-Zugang:https://www.mdpi.com/1424-8220/26/4/1383
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!