Rakiya A. Babamaaji^1,, Matthew O. Adepoju¹, Jagila Jantiku¹, Damashi Mantim Tali¹, Shagari S. Musa¹, Ihiabe Abdulmumin¹, Timothy Samuel Tiworoiyang¹, Sani A. Tswako¹, Echukwu Ezinne Valentina¹

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.

Farm inventory, vegetation cover, space based, technology and FCT