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Generating soil salinity, soil moisture, soil pH from satellite imagery and its analysis

Information Processing in Agriculture 2020年第2期7卷 294-306页

作者： mochamad firman ghazali Ketut Wikantika Agung Budi Harto Akihiko Kondoh Center for Remote Sensing Bandung Institute of Technology(CRS-ITB)BandungIndonesia Remote Sensing and GIS Research Group Faculty of Earth Science and TechnologyBandung Institute of TechnologyBandungIndonesia ForMIND Institute Indonesia Center for Environmental Remote Sensing(CeRES) Chiba UniversityJapan Department of Geodesy and Geomatics Engineering Faculty of EngineeringUniversity of LampungIndonesia

In an agricultural field,the water content and salt content are defined as soil moisture and soil salinity and have to be estimated *** changing of these two factors can be assessed using remote sensing *** study was conducted by analysing the Landsat 8 satellite images,soil data of field surveys,laboratory analyses and statistical *** properties such as soil moisture and soil salinity were estimated using soil moisture index(SMI)and soil salinity index(SSI),*** research combined and integrated the soil data from survey and laboratory with Landsat 8 satellite images to build two multiple regression equations model named the soil pH Index(SpHI).They are based on bare soil and paddy leaf models as the explanatory factors of soil moisture and soil salinity *** the computation processes were replicated three times using three different dates of Landsat 8 satellite images to produce the multi-temporal *** moisture increased after 30 days,while the salt content was only trace *** proposed models detected 4.49–7.59 of soil pH,4.66 in bare soil model and 6.62 in paddy leaf *** the planting period,the soil pH in bare soil model decreased to 2.12–6.47 while the paddy leaf model increased to 4.49–7.59 with RMSE 1.40 and PRMSE 24%of *** spatial relationship between soil pH,soil salinity and soil moisture are linear but varied in correlation level from weak,moderate to *** on the bare soil model,the relationship between soil pH and soil moisture shows a weak negative relationship with R28.37%and a strong positive relationship with R281.94%in paddy area and bare soil area respectively,as like as in paddy area based on the paddy leaf model with R2100%.The relationship between soil temperature and soil pH shows a weak negative relationship for all models and a moderate negative relationship of soil salinity and soil pH in bare soil area based on the bare soil model with R234.89%.

关键词： Landsat 8 Soil moisture index Soil salinity index Soil pH Paddy leaf model Bare soil model

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