Preparation soil colour map using Landsat satellite imagery

Article Type:
Research/Original Article (بدون رتبه معتبر)
Background and Objectives

Determining and mapping the soil colour are important to identify the important chemical, biological, and physical properties of the soil, especially through the areas where their measurement is difficult or not precisely practical. Several researchers in different parts of the world have used remote sensing to study soil temperature and humidity and its relation with different uses in environmental sciences. However, using of satellite imagery and remote sensing technology to determine the soil colour have been not observed worldwide in the literature. Therefore, such research can be useful in the field of environmental sciences, especially soil science and geomorphology. Hence, in the present study to study of soil colour through four different classes of calcareous, salty, coarse, and sandy soil samples, with the most colour variation, were used based on two methods of field operation and remote sensing approaches in Harat Plain, Yazd province.

Materials and Methods

The study area of Harat Plain is located in the geographical coordination of northern latitude range from 29° 54' 27" to 30° 27' 12" and eastern longitude range from 54° 07' 11" to 54° 36' 16". It covers a surface area of 1220 square kilometers, including a large part of saline land and bare ground and marginal cities of Harat and Marvast. This arid region with typical geomorphology of Central Iranian playas has a mean annual rainfall of 110 mm and an average annual temperature of 20 degrees Celsius.


Firstly validation and verification of data revealed total accuracy and Kappa coefficient of 82% and 0.792, respectively indicating comprehensible levels. Then to obtain the soil colour in the field operation, Munsell’s colour system was used and to measure remote sensing data, Landsat 8 imagery was used. Also, with the aim of using remote sensing technology and satellite imagery data for soil science studies, evaluation of different bands in ENVI software and preparation of soil colour map have been done in ArcGIS software. The results revealed that in the calcareous, salty, coarse, and sandy soils, the best band showing the Hue parameter is 5, 10, 7, and 10, respectively. Therefore, in the calcareous, salty, coarse, and sandy soils, the best band showing the Chroma parameter is 7, 7, 1, and 11, respectively. Finally, in the calcareous, salty, coarse, and sandy soils, the best band showing the Value parameter is 6, 11, 11, and 10, respectively. According to the linear equations between soil colour parameters and various bands, the spectrum band, which have the most correlations, were selected for each soil component. Then by combining all produced multi band images, one image was generated that represents the soil colour in respecting regions.


In conclusion, for the study area, which is a desert plain in central Iran, Landsat 8 satellite imagery can be used to map the soil colour map for different types of soil units.

Journal of Geographical Science, Volume:15 Issue: 31, 2020
35 to 50  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!