Mapping paddy rice fields using landsat and sentinel radar images in urban areas for agriculture planning

Other Title(s)

إعداد خرائط لحقول الرز للمنطقة الحضرية باستخدام صور (لاندسات و رادارية)‎ لتوجيه التخطيط الزراعي

Parallel Title

إعداد خرائط لحقول الرز للمنطقة الحضرية باستخدام صور (لاندسات و رادارية)‎ لتوجيه التخطيط الزراعي

Source

Journal of the Planner and Development

Issue

Vol. 2020, Issue 41 (30 Jun. 2020), pp.1-28, 28 p.

Publisher

University of Baghdad Center of Urban and Regional Planning for Postgraduate Studies

Publication Date

2020-06-30

Country of Publication

Iraq

No. of Pages

28

Main Subjects

Agriculture

Topics

Abstract EN

This research develops a new method based on spectral indices and random forest classifier to detect paddy rice areas and then assess their distributions regarding to urban areas.

The classification will be conducted on Landsat OLI images and Landsat OLI/Sentinel 1 SAR data.

Consequently, developing a new spectral index by analyzing the relative importance of Landsat bands will be calculated by the random forest.

The new spectral index has improved depending on the most three important bands, then two additional indices including the normalized difference vegetation index (NDVI), and standardized difference built-up index (NDBI) have been used to extract paddy rice fields from the data.

Several experiments being conducted to analyze and understand the strengths and weakness of the proposed new method.

This research shows that spectral indices are easy and accurate tool for rapid mapping of paddy rice fields in complicated environment where urban features are dominated.

The outcomes of this research could help mapping and decision makers to progress their productivity and strategic plans for better management of rice fields.

American Psychological Association (APA)

Muhammad, Haydar Razzaq. 2020. Mapping paddy rice fields using landsat and sentinel radar images in urban areas for agriculture planning. Journal of the Planner and Development،Vol. 2020, no. 41, pp.1-28.
https://search.emarefa.net/detail/BIM-972951

Modern Language Association (MLA)

Muhammad, Haydar Razzaq. Mapping paddy rice fields using landsat and sentinel radar images in urban areas for agriculture planning. Journal of the Planner and Development No. 41 (Jun. 2020), pp.1-28.
https://search.emarefa.net/detail/BIM-972951

American Medical Association (AMA)

Muhammad, Haydar Razzaq. Mapping paddy rice fields using landsat and sentinel radar images in urban areas for agriculture planning. Journal of the Planner and Development. 2020. Vol. 2020, no. 41, pp.1-28.
https://search.emarefa.net/detail/BIM-972951

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 23-28

Record ID

BIM-972951