Filters: Tags: Canopy Cover (X)
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LANDFIRE's (LF) 2022 Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an imaginary horizontal plane. CC supplies information for fire behavior models to determine the probability of crown fire initiation, provide input in the spotting model, calculate wind reductions, and to calculate fuel moisture conditioning. To create this product, plot level CC values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance CC and Canopy Height (CH) are used as predictors of disturbed CC using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and...
The percent tree canopy layer quantifies per pixel tree canopy fraction as a continuous variable from 1 to 100 percent. The file is an 8 Bit continuous data file that will contain values from 0 to 255 when displayed in a software package. The value of '127' is a 'No Data' value applied to areas outside of the modeled percent tree canopy extent. This dataset was derived from the following source:- The Multi-Resolution Land Cover Consortium (MRLC) National Land Cover Dataset (NLCD), last updated in 2001. For more information on the MRLC visit: http://www.mrlc.gov/
Tags: canopy cover,
land cover
This web mapping service displays the Vegetation Class attribute of the Pacific Northwest GNN Forest Structure Model. Many other attributes are available in the data set. For more information about these other attributes, and to download the data, please visit the LEMMA site here:http://lemma.forestry.oregonstate.edu/data/structure-mapsGNN models for individual species are also available at http://lemma.forestry.oregonstate.edu/data/species-maps. The GNN models apply only to forest land (areas currently or with the potential to support at least 10% tree cover), because a consistent regional plot sample of non-forest areas is unavailable. Most users will want to use "masked" versions of the GNN maps, which are...
LANDFIRE's (LF) 2022 Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an imaginary horizontal plane. CC supplies information for fire behavior models to determine the probability of crown fire initiation, provide input in the spotting model, calculate wind reductions, and to calculate fuel moisture conditioning. To create this product, plot level CC values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance CC and Canopy Height (CH) are used as predictors of disturbed CC using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and...
The dataset consists of abundance information of butterfly species (61 species) collected at 25 sites in northwest Indiana in 1998 and 1999. Each site was surveyed 21 times. Auxiliary data on environmental conditions were collected to allow us to relate habitat differences among sites to differences in abundance and composition of the butterfly community.
Dataset includes publicly available geologic and rainfall data, and environmental and ecological data derived or collected for this project. Specifically, water infiltration measurements, interepreted field-saturated hydraulic conductivity values, ungulate activity, vegetation cover, general soil and weather conditions data are included. Soil samples were collected, lab analyzed, and are included in the dataset. Field-collected data are associated with plots that encompassed approximately a 3 x 3 m area; site data represent approximately 20 x 20 m. First posted: 4 March 2020 (available from author) Revised: April 13, 2020 (version 2.0) The revision is provided due to minor refinement of the dataset and updated...
Categories: Data,
Data Release - Revised;
Tags: Hawaii,
Hedychium gardnerianum,
Kauai,
Metrosideros polymorpha,
USGS Science Data Catalog (SDC),
Soil evaporation, a critical ecohydrological process in drylands, can exhibit substantial spatio-temporal variation. Spatially, ecohydrological controls of soil evaporation may generally depend on a hierarchical structure spanning from the presence or absence of litter, through canopy patches of woody plants and intercanopy patches separating them, up to the overall vegetation mosaic characterized by density of woody plant cover in the landscape, although assessment of these factors in concert is generally lacking. Temporally, ecohydrological controls can be further complicated by not only seasonal climate, but also phenology, particularly in seasonally deciduous drylands. We experimentally assessed the interactive...
Categories: Publication;
Types: Citation,
Journal Citation;
Tags: Journal of Arid Environments,
canopy cover,
drylands,
ecohydrology,
hemispherical photography,
Data included in this data set are from in-field and edge-of-field surveys that recorded the presence of erosional features and cover of vegetation and bare ground on 1786 Conservation Reserve Program fields across three types of conservation practices (grassland, wetland, and wildlife). Field sampling data were recorded across six US Department of Agriculture Farm Production Regions (Corn belt, Lake states, Mountain, Northern plains, Pacific, Southern plains) from 2016 to 2018. The study area encompassed all or part of 14 states: Washington, Oregon, Idaho, Montana, North Dakota, South Dakota, Minnesota, Iowa, Missouri, Colorado, Nebraska, Kansas, Oklahoma, and Texas. These data constitute the first national level...
Categories: Data;
Tags: CRP,
Canopy cover,
Central United States,
Colorado,
Conservation Reserve Program,
Data included in this data set are from edge-of-field surveys of managed fields that recorded the presence of erosional features and cover of vegetation and bare ground on 320 Conservation Reserve Program (CRP) fields across central and western United States. Field sampling data was recorded across six US Department of Agriculture Farm Production Regions (Corn belt, Lake states, Mountain, Northern plains, Pacific, Southern plains) from 2016 to 2019. The study area encompassed all or part of 14 states: Washington, Oregon, Idaho, Montana, North Dakota, South Dakota, Minnesota, Iowa, Missouri, Colorado, Nebraska, Kansas, Oklahoma, and Texas. Complete methods and other additional information are provided in the journal...
Categories: Data;
Tags: Central United States,
Colorado,
Conservation Reserve Program,
Ecology,
Idaho,
The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: Canopy cover describes percent cover of tree canopy in a stand. A spatially-explicit map of canopy cover supplies information for fire behavior models such as FARSITE (Finney 1998) to determine surface fuel...
The United States Geological Survey Virginia and West Virginia Water Science Center (USGS VA-WV-WSC) and Fairfax County assembled this data release in support of ongoing USGS VA-WV-WSC monitoring and evaluations of stream conditions overtime of two previously restored, urban-suburban streams in Reston, Virginia – Snakeden Branch and The Glade. The aquatic benthic macroinvertebrate, fish, and habitat sampling and surveying were conducted on the same eight, 100-meter stream reaches (four reaches in Snakeden Branch and four reaches in The Glade) by the USGS VA-WV-WSC. Aquatic benthic macroinvertebrate sampling and physical habitat surveys were conducted in both Spring and Fall of 2021 and a fish survey was conducted...
Categories: Data;
Tags: Aquatic Biology,
Benthic macroinvertebrates,
Biota,
Canopy cover,
Chesapeake Bay,
LANDFIRE's (LF) 2022 Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an imaginary horizontal plane. CC supplies information for fire behavior models to determine the probability of crown fire initiation, provide input in the spotting model, calculate wind reductions, and to calculate fuel moisture conditioning. To create this product, plot level CC values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance CC and Canopy Height (CH) are used as predictors of disturbed CC using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and...
LANDFIRE's (LF) 2022 Forest Canopy Cover (CC) describes the percent cover of the tree canopy in a stand. CC is a vertical projection of the tree canopy cover onto an imaginary horizontal plane. CC supplies information for fire behavior models to determine the probability of crown fire initiation, provide input in the spotting model, calculate wind reductions, and to calculate fuel moisture conditioning. To create this product, plot level CC values are calculated using the canopy fuel estimation software, Forest Vegetation Simulator (FVS). Pre-disturbance CC and Canopy Height (CH) are used as predictors of disturbed CC using a linear regression equation per Fuel Vegetation Type (FVT), disturbance type/severity, and...
The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. DATA SUMMARY: Canopy cover (CC) describes percent cover of tree canopy in a stand. A spatially-explicit map of canopy cover supplies information for fire behavior models such as FARSITE (Finney 1998) to determine surface...
The LANDFIRE fuel data describe the composition and characteristics of both surface fuel and canopy fuel. Specific products include fire behavior fuel models, canopy bulk density (CBD), canopy base height (CBH), canopy cover (CC), canopy height (CH), and fuel loading models (FLMs). These data may be implemented within models to predict the behavior and effects of wildland fire. These data are useful for strategic fuel treatment prioritization and tactical assessment of fire behavior and effects. CC describes percent cover of tree canopy in a stand. A spatially-explicit map of canopy cover supplies information for fire behavior models such as FARSITE (Finney 1998) to determine surface fuel shading for calculating...
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