CISESS Land Product Scientists Honored by NESDIS

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STAR held award celebrations on January 20 at which members of the STAR Land Product Development Science Team won the NESDIS Vision and Creativity “Future is Here Today” Award. Six of the seven-member team are CISESS Scientists: Corinne Carter, Jingjing Peng, Peng Yu, Yuling Liu, Yuan Zhou, and Zhen Song. They work on a large portfolio of land products with several experimental products pending falling into three main categories: land surface temperature, albedo, and vegetation.

Their major product is Land Surface Temperature (LST), with Peng Yu working on the GOES ABI-based LST and Yuling Liu working on the JPSS VIIRS LST. Peng has also developed a Himawari LST and is working on an experimental Multi-Satellite Land Surface Temperature Global Mosaic, with global data taken simultaneously from GEO satellites rather than from different passes of LEO satellites. Yuling has worked on a METOP-SG LST product, a new set of satellites, the first of which was launched last summer.

For the albedo products, Jingjing Peng and Peng Yu work on the GOES ABI Albedo product and Jingjing and Zhen Song on the JPSS VIIRS Albedo product. Jingjing and Zhen are developing a new VIIRS Bidirectional Reflectance Distribution Function (BRDF), measuring the earth’s reflectivity with solar and viewing geometry. From BRDF, two types of surface albedo are derived: black-sky albedo (BSA), representing albedo under direct solar illumination, and white-sky albedo (WSA), representing albedo under fully diffuse illumination. The product also provides nadir BRDF-adjusted reflectance (NBAR), which normalizes surface reflectance to a standard viewing geometry—local solar noon in this product. Jingjing is also working on incorporating the upcoming METOP-SG METimage data into albedo and BRDF products. In addition, there is a Surface Reflectance product from JPSS VIIRS maintained by Yuan Zhou.

There are three important JPSS VIIRS Vegetation products that are the work of Yuan Zhou and Corinne Carter, now joined by Zhen Song. The Vegetation Index is related to absorption of photosynthetically active radiation and correlates with primary productivity. The Green Vegetation Fraction quantifies the fraction of land covered by green vegetation. The third product, the Leaf Area Index, has been operational since March 2025 and was developed using advanced machine learning models.

In addition, all these scientists have developed real-time product validation that is available on the STAR website.  Peng Yu has also provided R-based validation and inter-sensor comparisons for GOES LST, while Jingjing Peng provided the inter-sensor comparisons for GOES Albedo and Bidirectional Reflectance Factor (BRF).

One great example of their innovative products is the Land Product Applications that Peng Yu and Jingjing Peng have been working on. They are collaborating on a new system called “LandWatch”, a collective term for NOAA's powerful satellite-derived land monitoring data and user-friendly tools that help various stakeholders understand, manage, and protect the nation's land resources (Google Gemini, retrieved 1-22-26). The LST Reports (Monthly, Weekly, Daily) are also an excellent resource for data users. The LST Weekly Report records the week’s Top LST Anomaly, Highest Mean LST, and Maximum Hot days per Week (> 45⁰C) plus global satellite maps of these values. It also lists the top 10 regions under these three categories and notes any overlapping regions (appearing on two or three of these lists). For example, for the week of January 12 -18, Honduras had both maximum hot days and high temperature anomaly. A similar weekly report is also available focusing on the U.S.

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