Audra J Griebel

These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from April to late June. Typically, the EAG estimates are publicly released within 7-13 days of the latest satellite observation used for that version. Each weekly release contains five fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) Field Brome (Bromus arvensis); 4) medusahead (Taeniatherum caput-medusae); and 5) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory,...

Categories: Data Release - Revised; Tags: Arizona, California, Colorado, Field Brome, Great Basin, All tags... Harmonized Landsat Sentinel, Idaho, Kansas, Montana, NDVI, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Poa secunda, South Dakota, Texas, Texas brome, USGS Science Data Catalog (SDC), United States, Utah, Washington, Wyoming, annual grass, annual herbaceous, cheatgrass, exotic, https://doi.org/10.5066/P1Y5TZBM, invasive species, medusahead, nonindigenous species, noxious, perennial grass, red brome, remote sensing, rye brome, sagebrush, soft brome, western United States, Fewer tags

Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA - 2022

This dataset release provides historical (2022) estimates of fractional cover for Exotic Annual Grass (EAG) species and a native perennial bunch grass in the arid and semi-arid rangelands of the western United States. The dataset includes four fractional cover maps per year, accompanied by corresponding confidence maps, for a group of 16 species of EAGs, Cheatgrass (Bromus tectorum); Medusahead (Taeniatherum caput-medusae); and Sandberg Bluegrass (Poa secunda).

Tags: Annual grass, Annual herbaceous, Arizona, California, Cheatgrass, All tags... Colorado, Great Basin, Harmonized Landsat Sentinel, Idaho, Kansas, Medusahead, Montana, NDVI, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Poa secunda, South Dakota, Texas, Texas brome, United States, Utah, Washington, Wyoming, exotic, invasive species, nonindigenous species, noxious, perennial bunch grass, red brome, remote sensing, rye brome, sagebrush, soft brome, western United States, Fewer tags

Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA - 2023

This dataset release provides historical (2023) estimates of fractional cover for Exotic Annual Grass (EAG) species and a native perennial bunch grass in the arid and semi-arid rangelands of the western United States. The dataset includes five fractional cover maps per year, accompanied by corresponding confidence maps, for a group of 16 species of EAGs, Cheatgrass (Bromus tectorum); Field Brome (Bromus arvensis), Medusahead (Taeniatherum caput-medusae); and Sandberg Bluegrass (Poa secunda).

Tags: Annual grass, Annual herbaceous, Arizona, California, Cheatgrass, All tags... Colorado, Great Basin, Harmonized Landsat Sentinel, Idaho, Kansas, Medusahead, Montana, NDVI, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, Poa secunda, South Dakota, Texas, Texas brome, United States, Utah, Washington, Wyoming, exotic, invasive species, nonindigenous species, noxious, perennial bunch grass, red brome, remote sensing, rye brome, sagebrush, soft brome, western United States, Fewer tags

The USGS RCMAP (Rangeland Condition Monitoring Assessment and Projection) project has worked with BLM scientists and land managers to develop actionable remote-sensing based vegetation classifications. RCMAP quantifies the percent cover of rangeland components across the western U.S. using Landsat imagery from 1985-2024. The RCMAP product suite consists of ten fractional components: annual herbaceous, bare ground, herbaceous, litter, non-sagebrush shrub, perennial herbaceous, sagebrush, shrub, shrub height, and tree, in addition to the temporal trends of each component. Several enhancements were made to the RCMAP process relative to prior generations. The mapping area included eight regions which were subsequently...

Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: RCMAP, back-in-time, climate change, grassland change, projections, All tags... rangeland, rangeland management, shrubland change, shrublands, time series, trends, vegetation change, Fewer tags

The USGS Land Cover project has combined concepts and methodology from the legacy LCMAP and NLCD projects, along with modern deep learning convolutional neural networks, to produce promising prototypes of next generation land cover products. The new land cover algorithm will serve as the new baseline for USGS land cover production. Annual NLCD is a U.S. Geological Survey (USGS) science initiative implemented at the Earth Resources Observation and Science (EROS) Center that harnesses the remotely sensed Landsat data record to provide state-of-the-art land surface change information needed by scientists, resource managers, and decision-makers. Annual NLCD uses a modernized, integrated approach to map, monitor, synthesize,...