ACIX/CMIX– Atmospheric Correction and Cloud Mask Intercomparison Exercises
ACIX and CMIX are international collaborative initiatives to inter-compare a set of atmospheric correction (AC) and cloud masking (CM) algorithms for high-spatial resolution optical sensors.
The Global Land Programme is an interdisciplinary community of science and practice fostering the study of land systems and the co-design of solutions for global sustainability.
International Research Center of Big Data for Sustainable Development Goals (CBAS)
International Research Center of Big Data for Sustainable Development Goals (CBAS) is committed to building a public big data science and technology platform in service of the 2030 Agenda for Sustainable Development, integrating scientific research, data services, technological innovation, policy-making support, and capacity building to achieve the SDGs around the world.
NASA-SARI focuses on developing innovative regional research, education, and capacity building program using state-of-the-art remote sensing, natural sciences, engineering and social sciences to enrich Land Cover/Land Use Change (LCLUC) science in South/Southeast Asia. SARI aims to advance LCLUC science in the region, and to strengthen existing and build new collaborations between US and South/Southeast Asia researchers in the areas of LCLUC research.