American Journal of Food Science and Technology
ISSN (Print): 2333-4827 ISSN (Online): 2333-4835 Website: https://www.sciepub.com/journal/ajfst Editor-in-chief: Hyo Choi
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American Journal of Food Science and Technology. 2024, 12(5), 139-149
DOI: 10.12691/ajfst-12-5-1
Open AccessArticle

Farmland Inventory Delineation and Vegetation Cover Change Using Space-Based Technology in Federal Capital Territory (Fct), Nigeria

Rakiya A. Babamaaji1, , Matthew O. Adepoju1, Jagila Jantiku1, Damashi Mantim Tali1, Shagari S. Musa1, Ihiabe Abdulmumin1, Timothy Samuel Tiworoiyang1, Sani A. Tswako1 and Echukwu Ezinne Valentina1

1National Space Research and Development Agency, Obasanjo Space Centre, Nigeria

Pub. Date: September 08, 2024

Cite this paper:
Rakiya A. Babamaaji, Matthew O. Adepoju, Jagila Jantiku, Damashi Mantim Tali, Shagari S. Musa, Ihiabe Abdulmumin, Timothy Samuel Tiworoiyang, Sani A. Tswako and Echukwu Ezinne Valentina. Farmland Inventory Delineation and Vegetation Cover Change Using Space-Based Technology in Federal Capital Territory (Fct), Nigeria. American Journal of Food Science and Technology. 2024; 12(5):139-149. doi: 10.12691/ajfst-12-5-1

Abstract

A rigorous process for acquiring, compiling, and managing data about agricultural properties within a certain geographical or legal jurisdiction is known as a farmland inventory. It requires finding and recording information about each farmland parcel, such as its location, size, owner, and current land use. Crop fields are the basic organizational unit in agricultural production and the ability to record the size, contours and geographic distribution of agricultural fields is an important component of rural landscapes by delineating field boundaries and creating a database through inventory. This work's general approach is to use agricultural field maps and questionnaires to enhance the FCT's farmland inventory. Therefore, we place a focus on the segmentation of fine-resolution satellite images from Maxar Secure Watch, which offers access to imagery base maps and a number of Open Geospatial Consortium (OGC) services (Web Mapping Service WMS, Tile Mapping Service TMS, Web Feature Service WFS). The farmland was digitized inside the region of interest that was constructed using the high-resolution images from Maxar SecureWatch that allows us to run Mapflow Al-mapping over Secure Watch imagery. In order to identify changes that have happened throughout time in the research area, land use and land cover (LULC) data from three (3) epochs were used. The results show very good inventory and change detection in LULC which if considered will be of great advantage in agricultural production (precise and thorough datasets) for various agricultural planning, policy-making, and land management reasons.

Keywords:
Farm inventory vegetation cover space based technology and FCT

Creative CommonsThis work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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