@inproceedings{5d4173901d7f49ee99cb88533d221396,
title = "Modeling landscape variability in grasslands productivity with DayCent and remote-sensing imagery across a precipitation gradient",
abstract = "We introduced improvements to the DayCent-UV ecosystem model to better capture landscape variability in historical ANPP observations across three contrasting grassland ecosystems along a precipitation gradient: the shortgrass steppe, mixed-grass prairie, and tallgrass prairie. Additionally, we evaluated the ability of satellite remote sensing to detect this landscape-level variation in productivity.",
keywords = "DayCent, Grasslands, net primary productivity, remote sensing, vegetation indices",
author = "Johny Arteaga and Hartman, \{Melannie D.\} and Parton, \{William J.\} and Stephenson, \{Mitchell B.\} and Jerry Volesky and Maosi Chen and Darrin Sharp and Jonathan Straube and Wei Gao",
note = "Publisher Copyright: {\textcopyright} COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.; 16th Remote Sensing and Modeling of Ecosystems for Sustainability ; Conference date: 06-08-2025 Through 06-08-2025",
year = "2025",
month = sep,
day = "19",
doi = "10.1117/12.3064678",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Wei Gao and Jinnian Wang",
booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability XVI",
address = "美国",
}