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Data supporting Landsat time series assessment of invasive annual grasses following energy development To determine if invasive annual grasses increased around energy developments after the construction phase, we calculated an invasives index using Landsat TM and ETM+ imagery for a 34-year time period (1985-2018) and assessed trends for 1,755 wind turbines (from the U.S. Wind Turbine Database) installed between 1988 and 2013 in the southern California desert. The index uses the maximum normalized difference vegetation index (NDVI) for early season greenness (January-June), and mean NDVI (July-October) for the later dry season. We estimated the relative cover of invasive annuals each year at turbine locations and control sites and tested for changes before and after each turbine was installed. These data were used... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: California, California South, Google Earth Engine, Landsat, Normalized Difference Vegetation Index, All tags... USGS Science Data Catalog (SDC), desert ecosystems, ecology, energy development, energy resources, grassland ecosystems, grasslands, invasive species, nonindigenous species, time series, vegetation, wind energy, Fewer tags Phenology pattern data indicating recovery trajectories of ponderosa pine forests after high-severity fires This tabular, machine-readable CSV file contains annual phenometrics at locations in ponderosa pine ecosystems across Arizona and New Mexico that experienced stand-clearing, high-severity fire. The locations represent areas of vegetative recovery towards pre-fire (coniferous/pine) vegetation communities or towards novel grassland, shrubland, or deciduous replacements. Each sampled area is associated with the point location (latitude/longitude) as well as multiple calendar year phenometrics derived from the time-series of normalized difference vegetation index (NDVI) values in the phenology software package Timesat v3.2. Categories: Data; Tags: Arizona, Ecology, Fire, Forest, Geography, All tags... NDVI, New Mexico, Phenometrics, Pinus ponderosa, Ponderosa pine, Remote Sensing, USGS Science Data Catalog (SDC), biota, fire damage, fires, forest ecosystems, forests, phenology, Fewer tags Datasets for Integrating stream gage data and Landsat imagery to complete time-series of surface water extents in Central Valley, California This data release comprises the data files and code necessary to perform all analyses presented in the associated publication. The *.csv data files are aggregations of water extent on the basis of the European Commission's Joint Research Centre (JRC) Monthly Water History database (v1.0) and the Dynamic Surface Water Extent (DSWE) algorithm. The shapefile dataset contains the study area 8-digit hydrologic unit code (HUC) regions used as the basis for analysis. Html files provide an overview of the study workflow and integrated R notebooks (in .Rmd format) for recreating all project results and plots. The R notebook ingest the necessary data files from their online locations. These data support the following publication:... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: USGS Science Data Catalog (SDC), Water Resources Data - Forest harvest patterns on private lands in the Cascade Mountains, Washington, USA Forests in Washington State generate substantial economic revenue from commercial timber harvesting on private lands. To investigate the rates, causes, and spatial and temporal patterns of forest harvest on private tracts throughout the central Cascade Mountain area, we relied on a new generation of annual land-use/land-cover (LULC) products created from the application of the Continuous Change Detection and Classification (CCDC) algorithm to Landsat satellite imagery collected from 1985 to 2014. We calculated metrics of landscape pattern using patches of intact and harvested forest patches identified in each annual layer to identify changes throughout the time series. Patch dynamics revealed four distinct eras... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Cascade Mountains, Cascade Range, Forestry, Geography, LCMAP; CCDC; land use; land cover; land change; forest harvest, All tags... Land Use Change, Remote Sensing, USGS Science Data Catalog (SDC), United States, Washington (state), forest ecosystems, forest resources, geoscientificInformation, image collections AND multispectral imaging, imageryBaseMapsEarthCover, Fewer tags County-level maps of cropland surface water inundation measured from Landsat and MODIS This dataset represents a summary of potential cropland inundation for the state of California applying high-frequency surface water map composites derived from two satellite remote sensing platforms (Landsat and Moderate Resolution Imaging Spectroradiometer [MODIS]) with high-quality cropland maps generated by the California Department of Water Resources (DWR). Using Google Earth Engine, we examined inundation dynamics in California croplands from 2003 –2020 by intersecting monthly surface water maps (n=216 months) with mapped locations of precipitation amounts, rice, field, truck (which comprises truck, nursery, and berry crops), deciduous (deciduous fruits and nuts), citrus (citrus and subtropical), vineyards,... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Shapefile; Tags: California, Geography, Hydrology, Landsat, MODIS, All tags... Remote Sensing, USGS Science Data Catalog (SDC), agricultural sites, agriculture, controlled flooding, farming, floods, hazard preparedness, image collections, imageryBaseMapsEarthCover, irrigation, multispectral imaging, Fewer tags Wetlands in the state of Arizona We created a single map of surface water presence by intersecting water classes from available land cover products (National Wetland Inventory, Gap Analysis Program, National Land Cover Database, and Dynamic Surface Water Extent) across the U.S. state of Arizona. We derived classified samples for four wetland classes from the harmonized map: water, herbaceous wetlands, wooded wetlands, and non-wetland cover. In Google Earth Engine (GEE) we developed a random forest model that combined the training data with spatially explicit predictor variables of vegetation greenness indices, wetness indices, seasonal index variation, topographic variables, and hydrologic parameters. The final product is a wall-to-wall map of... Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service, Raster; Tags: Arizona, Ecology, Geography, Hydrology, Land Use and Land Cover Map, All tags... Remote Sensing, USGS Science Data Catalog (SDC), desert ecosystems, deserts, imageryBaseMapsEarthCover, land use and land cover, wetlands, wetlands, Fewer tags Patch Statistics - Forest harvest patterns on private lands in the Cascade Mountains, Washington, USA Forests in Washington State generate substantial economic revenue from commercial timber harvesting on private lands. To investigate the rates, causes, and spatial and temporal patterns of forest harvest on private tracts throughout the central Cascade Mountain area, we relied on a new generation of annual land-use/land-cover (LULC) products created from the application of the Continuous Change Detection and Classification (CCDC) algorithm to Landsat satellite imagery collected from 1985 to 2014. We calculated metrics of landscape pattern using patches of intact and harvested forest patches identified in each annual layer to identify changes throughout the time series. Patch dynamics revealed four distinct eras... Categories: Data; Tags: Cascade Mountains, Cascade Range, LCMAP; CCDC; land use; land cover; land change; forest harvest, United States, Washington (state), All tags... forest ecosystems, forest resources, geoscientificInformation, image collections AND multispectral imaging, imageryBaseMapsEarthCover, Fewer tags Monthly summaries of pixel counts in Dynamic Surface Water Extent (DSWE) classes in level-8 HUCs in the greater Central Valley, California The dataset comprises a Landsat-derived assessment of monthly surface water extent within the study area (California's greater Central Valley). The surface water dataset is based on the algorithm for the Dynamic Surface Water Extent (DSWE) (Jones, 2019), which was adapted to the Google Earth Engine JavaScript environment. The level of spatial aggregation is by level-8 hydrologic unit code (HUC). Categories: Data; Tags: California, California Mountain, California Valley, Central California Valley, Landsat, All tags... Sierra Nevada Mountains, image collections, multispectral imaging, surface water (non-marine), surface water mapping, time series, Fewer tags Monthly summaries of pixel counts in Joint Research Centre Monthly Water History v1.0 dataset in level-8 HUC in the greater Central Valley, California from 1984 to 2015 The dataset comprises a Landsat-derived assessment of monthly surface water area within the study area (California's greater Central Valley). The surface water estimates are supplied by the European Commission's Joint Research Centre (JRC) Monthly Water History, v1.0. The level of spatial aggregation is by level-8 hydrologic unit code (HUC). Categories: Data; Tags: California, California Mountain, California Valley, Central California Valley, Landsat, All tags... Sierra Nevada Mountains, image collections, multispectral imaging, surface water (non-marine), surface water mapping, time series, Fewer tags Logistic Regression Samples - Forest harvest patterns on private lands in the Cascade Mountains, Washington, USA Forests in Washington State generate substantial economic revenue from commercial timber harvesting on private lands. To investigate the rates, causes, and spatial and temporal patterns of forest harvest on private tracts throughout the central Cascade Mountain area, we relied on a new generation of annual land-use/land-cover (LULC) products created from the application of the Continuous Change Detection and Classification (CCDC) algorithm to Landsat satellite imagery collected from 1985 to 2014. We calculated metrics of landscape pattern using patches of intact and harvested forest patches identified in each annual layer to identify changes throughout the time series. Patch dynamics revealed four distinct eras... Categories: Data; Tags: Cascade Mountains, Cascade Range, LCMAP; CCDC; land use; land cover; land change; forest harvest, United States, Washington (state), All tags... forest ecosystems, forest resources, geoscientificInformation, image collections AND multispectral imaging, imageryBaseMapsEarthCover, Fewer tags