Agricultural Management and Remote Monitoring for Carbon Sequestration: The Case of Latin America

Capturing sequestration is a crucial approach to reducing greenhouse gas emissions, particularly carbon dioxide (CO2). This literature review analyzes various agricultural practices and remote monitoring models applied to carbon sequestration in Latin America. It evaluates the impact of practices such as irrigation, organic agriculture, the use of fertilizers and amendments in grasslands, on increasing carbon in the region's soils. Additionally, it studies the application of remote monitoring models such as NDVI, MODIS, RothC and SPOT to collect data through satellite imagery. The results reveal that these agricultural practices and monitoring models are poorly implemented in Latin America. This highlights the importance of promoting their adoption to optimize carbon sequestration in different areas of the region. Greater carbon capture in soils would contribute significantly to mitigating climate change and achieving emission reduction goals. Therefore, it is essential to promote policies and incentives that drive these sustainable practices in the Latin American agricultural sector.