Fusion level of satellite and UAV image data for soil salinity inversion in the coastal area of the Yellow River Delta-Reference-Cited by-同舟云学术

Fusion level of satellite and UAV image data for soil salinity inversion in the coastal area of the Yellow River Delta

Published:2022-12-16 Issue:19-24 Volume:43 Page:7039-7063
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Ma Ying¹^ORCID,Zhu Weiya²,Zhang Zan³,Chen Hongyan¹,Zhao Gengxing¹,Liu Peng⁴

Affiliation:

1. National Engineering Research Centre for Efficient Utilization of Soil and Fertilizer Resources, College of Resources and Environment, Shandong Agricultural University, Taian, China

2. Map Institute of Shandong Province, Jinan, China

3. Lunan High Speed Railway Co. Ltd, Jinan, China

4. College of Agronomy, Shandong Agricultural University, Taian, China

Funder

Shandong Province

the National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2022.2155080

Reference48 articles.

1. Characterizing soil salinity in irrigated agriculture using a remote sensing approach

2. Assessing the performance of machine learning algorithms for soil salinity mapping in Google Earth Engine platform using Sentinel-2A and Landsat-8 OLI data

3. Hyperspectral field estimation and remote-sensing inversion of salt content in coastal saline soils of the Yellow River Delta

4. Sentinel-MSI and Landsat-OLI Data Quality Characterization for High Temporal Frequency Monitoring of Soil Salinity Dynamic in an Arid Landscape

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