Academic Journal

Evaluating different spectral indices in identification and preparation of soil salinity mapping of arid region of Iran

التفاصيل البيبلوغرافية
العنوان: Evaluating different spectral indices in identification and preparation of soil salinity mapping of arid region of Iran
المؤلفون: H.R. Matinfar, A. Fariabi, S.K. Alavipanah
المصدر: Desert, Vol 25, Iss 1, Pp 77-85 (2020)
بيانات النشر: University of Tehran, 2020.
سنة النشر: 2020
المجموعة: LCC:Agriculture
LCC:Ecology
مصطلحات موضوعية: spectral indices, soil salinity, sri, vegetation index, Agriculture, Ecology, QH540-549.5
الوصف: Soil salinity undergoes significant spatial and temporal variations; therefore, salinity mapping is difficult, expensive, and time consuming. However, researchers have mainly focused on arid soils (bare) and less attention has been paid to halophyte plants and their role as salinity indicators. Accordingly, this paper aimed to investigate the relationship between soil properties, such as electrical conductivity of the saturation extract (ECe) and the spectral reflectance of vegetation species and bare soil, to offer a method for providing salinity map using remote sensing. Various vegetation species and bare soil reflectance were measured. Spectral Response Index (SRI) for bare soil and soil with vegetation was measured via the Normalized Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), and salinity indexes. The electrical conductivity of the saturated extract, texture, and organic matter of soil samples were determined. The correlation coefficient of soil salinity with SRI, SAVI, and salinity indexes were obtained, and a model was presented for soil salinity prediction. EC map was estimated using the proposed model. The correlation between SRI and EC was higher than other models (0.97). The results showed that the salinity map obtained from the model had the highest compliance (0.96) with field findings. In general, in this area and similar areas, the SRI index is an acceptable indicator of salinity and soil salinity mapping.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2008-0875
2345-475X
Relation: https://jdesert.ut.ac.ir/article_78168_fdb43d25184edb160b321405eb30c0bd.pdf; https://doaj.org/toc/2008-0875; https://doaj.org/toc/2345-475X
DOI: 10.22059/jdesert.2020.78168
URL الوصول: https://doaj.org/article/6181a4c3f77a4ec49ff2b5f3c8d6c1c2
رقم الانضمام: edsdoj.6181a4c3f77a4ec49ff2b5f3c8d6c1c2
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20080875
2345475X
DOI:10.22059/jdesert.2020.78168