Integrating remote sensing and smart agriculture for land use and land cover classification

As the global population continues to rise and agricultural production must increase to meet this demand, the need for improved management of agricultural resources is substantial. The first step in resolving this issue is to collect accurate data regarding the status, quality, quantity, and use of land resources. To address this need, remote sensing (RS) and smart agriculture have emerged as a combination of increasingly important tools to improve the quality and access of agricultural and natural resources data. Through the application of modern technology in farm and land management, smart agriculture combined with novel agricultural practices helps create safe and healthy food. The overall integration of smart agriculture with RS-largely due to the considerable spatial cover of satellites monitoring the land-reduces extensive and expensive field surveys and supports accurate land use and land cover classification (LCC).

کلیدواژه ها:

Land cover classification (LCC) ، Remote sensing (RS) ، Smart agriculture