Remote sensing (RS) together with Geographical Information System (GIS) offers valuable insights, making them essential tools for mapping habitats, species distributions, and ecological interactions. Advanced remote sensing techniques, such as LiDAR and hyperspectral imaging, enhance the ability to analyze ecosystem dynamics, identify critical wildlife corridors, and evaluate the impact of environmental change. Pixel level observations captured in remote sensing images are extensively used in conservation planning, land-use management, and ecological modelling, facilitating informed decision-making for sustainable ecosystem preservation. Satellite-based remote sensing offers comprehensive global coverage, enabling continuous monitoring of Earth’s surface with high temporal resolution. This chapter highlights how pixel-based observations and RS-GIS can bridge the gap between data and decision-making, playing a critical role in protecting our planet. Tools such as Marxan, Zonation, and CAPTAIN exemplify how spatial optimization enhances protected area design and biodiversity conservation. The chapter also provides an insight on the use of emerging innovations like machine learning and data fusion for conservation planning. The chapter identifies key barriers, including data gaps in biodiversity-rich regions, the subjectivity of conservation target weighting, and the pressing need for standardized methodologies to ensure consistency and reliability in conservation planning, and advocates for global collaboration, advanced analytics, and adaptive strategies for effectively addressing these challenges.