Over the past few decades, remote sensing has emerged as a powerful tool in the fight against agricultural pests, transforming the way in which we monitor and manage infestations within Integrated Pest Management Programs (IPMPs). This chapter explores the diverse remote-sensing techniques currently employed for this purpose. Initially, satellite imagery became the champion, offering unparalleled access to up-to-date information on vast land surface features. However, the recent arrival of drones has democratized pest monitoring, providing a cheaper and more accessible option for localized areas. Additionally, these nimble flyers can validate satellite data and perform geometric and radiometric corrections, ensuring accuracy. Beyond imagery, spectroscopic measurements unlock even deeper insights. By analyzing the unique spectral “fingerprints” of plant tissues using field and laboratory devices, researchers can detect even subtle changes indicative of early-stage infections, invisible to the naked eye. This information, coupled with insights into plant biochemical and biophysical parameters, empowers farmers to make informed decisions about crop nutrient management, potentially preventing outbreaks before they occur. The chapter delves into various applications of these techniques within IPMPs, demonstrating their potential to save both time and resources compared with traditional methods. By leveraging remote sensing, farmers can target interventions more precisely, minimizing unnecessary pesticide use and maximizing crop yields. This not only benefits the environment and human health but also translates into economic gains for farmers. In conclusion, this chapter paints a compelling picture of how remote sensing is revolutionizing pest management. From the vast coverage of satellites to the targeted precision of drones, and the insightful analysis of spectroscopic measurements, these technologies offer a comprehensive and cost-effective approach to protecting crops and ensuring sustainable agricultural practices.