Estimating soil salinity with different fractional vegetation cover using remote sensing

Bibliographic Data

ID21648717
AuthorsJunrui Zhang (0009-0005-8244-2770, Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education Northwest A&F University Yangling PR China), Zhitao Zhang (0000-0001-5592-310X, Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education Northwest A&F University Yangling PR China, corresponding author), Junying Chen (0000-0001-5150-5736, Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education Northwest A&F University Yangling PR China, corresponding author), Haiying Chen (0000-0002-3053-3276, Department of Foreign Languages Northwest A&F University Yangling PR China), Jiming Jin (0000-0002-0075-7738, College of Water Resources and Architectural Engineering Northwest A&F University Yangling PR China), Jia Han (0000-0001-6427-8966, Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education Northwest A&F University Yangling PR China), Xintao Wang (0000-0003-1299-5650, Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education Northwest A&F University Yangling PR China), Zhishuang Song (College of Mechanical and Electronic Engineering Northwest A&F University Yangling PR China), Guangfei Wei (0000-0001-5061-7365, Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education Northwest A&F University Yangling PR China)
Year2021
Volume32
Issue2
Pages597-612
Publication date2021-01-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.3737
OpenAlexW3048128579
LanguageEN
Citations received3
References cited44

Soil salinization is a serious restrictive factor affecting sustainable agricultural development. In order to explore the effect of Fractional Vegetation Cover (FVC), we monitored soil salinization in sites different vegetation coverage in Jiefangzha Irrigation District in Inner Mongolia using satellite remote sensing. From May to August 2018, we carried out field sampling at different depths in each month, and calculated FVC and spectral covariates using GF‐1 satellite images in the corresponding sampling period. Based on the FVC division criteria for Inner Mongolia, we took the following steps: (a) setting up a control treatment A (the full data with undivided FVC, TA) and experimental treatments B (bare land, TB), C (mid‐low FVC, TC), D (mid FVC, TD) and E (high FVC, TE); (b) conducting the Best Subset Selection (BSS) for all spectral covariates at different depths of each treatment; and (c) constructing the Soil Salt Content (SSC) inversion models using partial least square regression (PLSR), Cubist, and Extreme Learning Machine (ELM). The results indicated that (a) classifying FVC could improve the stability and predictive ability of the models; (b) the performance of the three modeling methods were different (Cubist was the best, ELM next and PLSR the poorest); (c) the optimal inversion models for TB, TC and TE were constructed by Cubist at 0–20, 0–40 and 0–20 cm, and for TD was constructed by ELM at 0–60 cm, respectively. The results can provide references for soil salinization prevention and agricultural production in Jiefangzha Irrigation District and other areas with the similar vegetation cover

Climate change · Normalized Difference Vegetation Index · Soil salinity · Soil water · Environmental Science · Remote Sensing in Agriculture · Soil Geostatistics and Mapping · Soil Moisture and Remote Sensing · Geology · Soil Science

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