干旱区生态环境知识资源中心(Arid): Soil salinity prediction models constructed by different remote sensors

Arid

DOI	10.1016/j.pce.2022.103230
	Soil salinity prediction models constructed by different remote sensors
	Avdan, Ugur; Kaplan, Gordana; Matci, Dilek Kucuk; Avdan, Zehra Yigit; Erdem, Firat; Mizik, Ece Tugba; Demirtas, Ilknur
通讯作者	Avdan, U
来源期刊	PHYSICS AND CHEMISTRY OF THE EARTH
ISSN	1474-7065
EISSN	1873-5193
出版年	2022
卷号	128
英文摘要	As a significant environmental problem, soil salinity should be timely and accurately mapped and monitored. In recent years, remote sensing data and techniques have been widely used for soil salinity estimation. However, with the difference in the sensors' characteristics, satellite-based prediction of soil salinity remains highly uncertain. This study investigates and compares soil salinity models from remote sensing sensors with different spectral, and most importantly, spatial resolution. Thus, data from two middle (Landsat - 8 and Sentinel - 2) and one high spatial resolution (PlanetScope) sensors have been used for salinity indices have been used for developing salinity prediction models from in-situ data. For this purpose, data from random points in different agricultural fields have been collected in the study area. The developed statistical models were validated using 20% of the dataset using accuracy indices. The results showed that the higher spatial resolution tent to give a better model prediction. However, it also means that the higher the spatial resolution of the imagery, the more complex the prediction model will be developed. The results also showed that simpler models give a higher correlation between the observed and the predicted values. For future studies, we recommend a similar investigation using different sensors and more in-situ data over similar agricultural fields.
英文关键词	Electrical conductivity Model comparison Remote sensing Sensors Soil salinity
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000911779200004
WOS关键词	SEMIARID REGIONS ; LAND DEGRADATION ; SENSING DATA ; TADLA PLAIN ; WET SEASONS ; SALINIZATION ; XINJIANG ; OASIS ; DEPTH ; CHINA
WOS类目	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393942
推荐引用方式 GB/T 7714	Avdan, Ugur,Kaplan, Gordana,Matci, Dilek Kucuk,et al. Soil salinity prediction models constructed by different remote sensors[J],2022,128.
APA	Avdan, Ugur.,Kaplan, Gordana.,Matci, Dilek Kucuk.,Avdan, Zehra Yigit.,Erdem, Firat.,...&Demirtas, Ilknur.(2022).Soil salinity prediction models constructed by different remote sensors.PHYSICS AND CHEMISTRY OF THE EARTH,128.
MLA	Avdan, Ugur,et al."Soil salinity prediction models constructed by different remote sensors".PHYSICS AND CHEMISTRY OF THE EARTH 128(2022).