Remote Sensing and GIS to Estimate Pinyon Juniper Tree Density and Cover CESU Project

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This Funding Announcement is not a request for applications. This announcement is to provide public notice of the Bureau of Land Management (BLM), intention to fund the following project activities without full and open competition. This project is an add-on to an existing project, SageSTEP, in which BLM is a partner and which has already selected sites and generated the field data. The purpose of this additional research is to evaluate the accuracy of data obtained from remote sensing imagery for characterizing pinyon and juniper tree cover and density. This project will take remote sensing imagery at multiple sites within woodland of varying densities (phases 1 (low tree density), 2 (intermediate) and 3 (high tree density) and compare density estimates obtained remotely with those from NAIP 1 m resolution photos and from extensive ground data already collected by the SageSTEP experimental program. From these comparisons, the cooperator will define resolution thresholds where canopy fuel variables, fire-carrying fuels, and vegetation attributes can be accurately assessed remotely. This information will assist development of the sampling strategy for BLM's National Assessment, Inventory and Monitoring program (AIM).

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