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Implementing a Grassland Productivity Forecast Tool for the U.S. Southwest


Rangeland systems are some of our nation’s largest providers of agro-ecological services, sustaining plant productivity that is highly variable across seasons and years. Although the ability to predict the upcoming growing season’s rangeland productivity would have enormous economic and management value – such as for making decisions about cattle stocking rates, fire, restoration, and wildlife – the ability to provide these forecasts has remained poor. New remote sensing and modeling technologies allow for dramatic improvements to near-term forecasts of rangeland productivity. With this project, our multi-disciplinary team has shown that, compared with traditional remote sensing greenness indices, NIRv-based (NIR reflectance of vegetation) [...]


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“NIRv remote sensing data versus NDVI”
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NIRv remote sensing data versus NDVI
NIRv remote sensing data versus NDVI


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