Williams uses ENVI to process and analyze the collected hyperspectral and LiDAR data to improve the quantification of forest productivity. This combination provides a rich dataset for environmental analysis, producing high-resolution 3D images of forests. “As a geospatial scientist I am familiar with using ArcGIS Pro, but due to its incompatibility with hyperspectral data, ENVI has been a crucial tool for my hyperspectral image processing,” said Williams.
The capabilities in ENVI have allowed her to visualize the diurnal and vertical distributions of vegetation indices that relate to plant photosynthesis to reveal structural mediation on the canopy light environment. Williams also uses ENVI to calculate vegetation indices related to plant photosynthesis, classify different levels of illumination using a panchromatic band simulation, and incorporate digital surface models (DSM) to visualize vertical distributions of panchromatic reflectance and the photochemical reflectance index (PRI).
Williams holds a B.S. degree in Environmental Informatics with a GIS minor, and an M.S. degree in Forestry Remote Sensing from Virginia Tech. She is currently pursuing her doctoral degree in Forestry in the Remote Sensing Interdisciplinary Graduate Education Program at Virginia Tech. She is a licensed Part 107 Remote Pilot and has Geospatial Information Technology and Remote Sensing Certificates. Williams has also been part of several international and interdisciplinary research projects in Panama, India, and Burkina Faso, Africa, working as a GIS and remote sensing team member.
Williams’ passion for the natural beauty of forests, coupled with her academic interests in GIS and remote sensing, drives her to contribute to ecological modeling and sustainable natural resource management. She plans to graduate in December 2023 or May 2024 and is considering a professor position at an academic institution or pursuing a postdoctoral position at NASA Goddard Space Flight Center.
Williams' work exemplifies the importance of integrating remote sensing technologies to understand Earth's complex ecosystems. Her collaboration with NASA Goddard Space Flight Center and her commitment to advancing our knowledge of forest ecosystems and climate change highlight the critical role remote sensing plays in addressing global environmental challenges.
*This research has been presented at the American Geophysical Union Fall Meeting in 2020 (https://ui.adsabs.harvard.edu/abs/2020AGUFMB081.0010W/abstract) and 2021 (https://ui.adsabs.harvard.edu/abs/2021AGUFM.B25I1586W/abstract) and also SilviLaser in 2021 (https://doi.org/10.34726/wim.2026). The manuscript is currently in prep for review and is expected to be published by the end of the year.
**All images are published with the permission of Paige Williams and her fellow co-authors.