Paper Title

Surveying and Evaluating Lands for the Purpose of Agricultural Investments, North East Dongola, Northern State/Sudan

Article Identifiers

Registration ID: IJNRD_186953

Published ID: IJNRD2301380

DOI: Click Here to Get

Authors

Dr Abass Mohamed Elhag Hamed , El Moiez Lidin Allah Mohamed Fadul Abdel Karium , Motasim Hyder Abdelwahab , Wael Awad Marajan Mohammed

Keywords

Land evaluations, land Suitability, Soil Physiochemical Properties, topography, remote sensing, and GIS.

Abstract

This study was conducted in eastern area of River Nile, about 42 km North east Dongola town, Northern State, to investigate and determine the suitable lands for the establishment of an agricultural project in the study area, and evaluate and determine the soil Physical, Chemical Properties and land topography for agricultural activities in the study area using GIS, Remote sensing, soil survey and analysis. The study area covering (4945.6 feddans). This research was based on the data and information extracted from soil survey, remote sensed land-sat 8 images dated 2018 goggle earth data, in addition to fieldwork observation and ground truth aided by GPS Garmin 60C navigator and geographic information system were used to generate soil map and calculate the soil class or unties area in the study area. Satellite image was enhanced, interpreted; classified, transformed and analyzed using ERDAS Imagine 8.5 and Arc-GIS 10.21, by using the soil salinity levels, Alkalinity, Moisture content, Elevation and according American soil classification system and (FAO, 1990 and 2006) the project area classified into two main units, S2 (3504.1 feddans ), its currently suitable for agriculture activities, these unit (S2) are characterized by slight to moderate salinity, slight to moderate alkalinity, Non sodic and relative flatness surface. This unit was divided into 4 sub units, S2m, S2ma, S2me and S2mse respectively according to Quality and current value of cultivation of each sub unit. The second unit named S3 (marginally suitable lands) it covered about 1441.5 feddans, The soil under this class is characterized by both salt hazard Alkalinity and severe undulated topography classified into sub classes, S3mae and S3mse, where this unit (S3) needs more effort to reclaim it for cultivation of field and horticultural crops. The study conclude that remote sensing, Google earth images and GIS map are important and useful in studying lands and testing their suitability for agricultural activities, especially the characteristics that can be studied remotely, such as topography, Sand dunes, sand encroachments, Soil moisture and salt deposited at the soil surface.

How To Cite

"Surveying and Evaluating Lands for the Purpose of Agricultural Investments, North East Dongola, Northern State/Sudan ", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 1, page no.d680-d694, January-2023, Available :https://ijnrd.org/papers/IJNRD2301380.pdf

Issue

Volume 8 Issue 1, January-2023

Pages : d680-d694

Other Publication Details

Paper Reg. ID: IJNRD_186953

Published Paper Id: IJNRD2301380

Downloads: 000121190

Research Area: Science & Technology

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2301380.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2301380

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

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