Found 94 datasets matching "random forest modeling".
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The data were generated by modeling wetted width, thalweg depth, bankfull width, and bankfull depth measurements from the USEPA's National Rivers and Streams Assessments. Models were developed...
Search relevance: 110.73 | Views last month: 6 -
This dataset provides lake bathymetry maps derived from Landsat surface reflectance products for a portion of the North Slope area of Alaska. A random forest regression algorithm was used to...
Search relevance: 103.21 | Views last month: 0 -
This metadata record describes monthly estimates of natural baseflow for 15,866 stream reaches, defined by the National Hydrography Dataset Plus Version 2.0 (NHDPlusV2), in the Delaware River...
Search relevance: 96.59 | Views last month: 0 -
These data were compiled for/to provide an example and assess methods and results of pre-fire estimation of predicted differenced normalized burn ration (dNBR) for predicting post-fire debris flow...
Search relevance: 87.83 | Views last month: 1 -
A multiple machine-learning model (Asquith and Killian, 2024) implementing Cubist and Random Forest regressions was used to predict monthly mean groundwater levels through time for the available...
Search relevance: 71.01 | Views last month: 0 -
This dataset contains estimates for aboveground shrub biomass and uncertainty at high spatial resolution (0.80-m) across three research areas near Toolik Lake, Alaska. The estimates for August of...
Search relevance: 65.33 | Views last month: 0 -
This dataset provides eight GEDI forest structure metrics relevant to wildlife habitat modeling and biodiversity assessments at 30-m resolutions across Washington, Oregon, Idaho, Montana, Wyoming,...
Search relevance: 60.81 | Views last month: 0 -
This is the dataset used for the U.S. lead exposure risk hotspot analysis in Zartarian et al., 2024, ES&T. The data dictionary files explain the contents of the 2 included zipped data folders. The...
Search relevance: 60.72 | Views last month: 10 -
This dataset ranks 88 predictors run in a random forest analysis for 369 freshwater lakes in the Upper Midwest USA. This dataset is associated with the following publication: Iiames, J., W....
Search relevance: 60.12 | Views last month: 0 -
This metadata record describes monthly estimates of natural stream flows for greater than 2.5 million stream reaches, defined by the National Hydrography Dataset (NHD) Version 2.0, in the...
Search relevance: 59.37 | Views last month: 0 -
This dataset provides 30-meter gridded estimates of aboveground biomass (AGB), forest canopy height, and canopy coverage for Maryland, Pennsylvania, and Delaware in 2011. Leaf-off LiDAR data were...
Search relevance: 58.46 | Views last month: 0 -
Modeling streamflow is an important approach for understanding landscape-scale drivers of flow and estimating flows where there are no streamgage records. In this study conducted by the U.S....
Search relevance: 57.86 | Views last month: 0 -
Our objective was to model intermittency (perennial, weakly intermittent, or strongly intermittent) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an...
Search relevance: 57.81 | Views last month: 0 -
Many aspects of recurring plant developmental events – vegetation phenology – are measured by remote sensing. By consistently measuring the timing and magnitude of the growing season, it is...
Search relevance: 57.62 | Views last month: 0 -
This dataset provides two 30-m resolution time series products of annual land cover classifications over the Arctic Boreal Vulnerability Experiment (ABoVE) core domain for each year of the period...
Search relevance: 56.77 | Views last month: 0 -
This data set provides estimates of above-ground biomass (AGB), canopy height, and percent tree cover at 30-m spatial resolution for Sonoma County, California, USA, for the nominal year 2013....
Search relevance: 56.76 | Views last month: 0 -
Our objective was to model frequency of low-pulse events on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale...
Search relevance: 56.54 | Views last month: 0 -
This dataset contains vegetation community maps at 20 cm resolution for three landscapes near the Toolik Lake research area in the northern foothills of the Brooks Range, Alaska, USA. The maps...
Search relevance: 55.85 | Views last month: 0 -
Our objective was to model minimum flow coefficient of variation (CV) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding...
Search relevance: 55.22 | Views last month: 0 -
This USGS Data Release represents the data used to develop multiple linear regression models for estimating the loads of total nitrogen in small streams. Recursive partitioning and random forest...
Search relevance: 54.43 | Views last month: 0
