سامانه پشتیبانی خدمات اطلاعات

  اخبار و اعلانات

 آمار

تعداد نشریات161
تعداد شماره‌ها6,532
تعداد مقالات70,502
تعداد مشاهده مقاله124,118,144
تعداد دریافت فایل اصل مقاله97,224,011
Matinfar, H.R., Fariabi, A., Alavipanah, S.K.. (1399). Evaluating different spectral indices in identification and preparation of soil salinity mapping of arid region of Iran. , 25(1), 77-85. doi: 10.22059/jdesert.2020.78168
H.R. Matinfar; A. Fariabi; S.K. Alavipanah. "Evaluating different spectral indices in identification and preparation of soil salinity mapping of arid region of Iran". , 25, 1, 1399, 77-85. doi: 10.22059/jdesert.2020.78168
Matinfar, H.R., Fariabi, A., Alavipanah, S.K.. (1399). 'Evaluating different spectral indices in identification and preparation of soil salinity mapping of arid region of Iran', , 25(1), pp. 77-85. doi: 10.22059/jdesert.2020.78168
Matinfar, H.R., Fariabi, A., Alavipanah, S.K.. Evaluating different spectral indices in identification and preparation of soil salinity mapping of arid region of Iran. , 1399; 25(1): 77-85. doi: 10.22059/jdesert.2020.78168

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

Desert
دوره 25، شماره 1، شهریور 2020، صفحه 77-85    اصل مقاله (763.12 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jdesert.2020.78168
نویسندگان
H.R. Matinfar* 1؛ A. Fariabi2؛ S.K. Alavipanah2
1Lorestan University, Khorramabad, Loresan, Iran
2RS & GIS Dept., Faculty of Geography, University of Tehran, Tehran, Iran
چکیده
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.
کلیدواژه‌ها
Spectral indices؛ Soil salinity؛ SRI؛ Vegetation index
آمار
تعداد مشاهده مقاله: 368
تعداد دریافت فایل اصل مقاله: 512


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب