LANDFIRE's (LF) 2022 update (LF 2022) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In this context, a terrestrial ecological system is defined as a group of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVT also includes ruderal or semi-natural vegetation types within the U.S. National Vegetation Classification [(NVC) https://usnvc.org/]. See the EVT product page (https://www.landfire.gov/evt.php) for more information about ecological systems and NVC classifications.
EVT is mapped using decision tree models, field data, Landsat imagery, topography, and biophysical gradient data. Decision tree models are developed separately for tree, shrub, and herbaceous lifeforms which are then used to produce a lifeform specific EVT product. These models are generated for each Environmental Protection Agency (EPA) Level III Ecoregion (https://www.epa.gov/eco-research/ecoregions). Riparian, alpine, sparse, and other site-specific EVTs are constrained by predetermined masks. Urban and developed areas are derived from the National Land Cover Database (NLCD), and the latest Microsoft Building Footprint dataset. Agricultural lands originate from the 2022 Cropland Data Layer (CDL) and the 2019 California Statewide Crop Mapping layer. Burnable developed classes are identified from building footprint dataset thresholds. LF 2022 retains circa 2016 EVT labels except where shifts in urban, agriculture, and developed classes occur. While Existing Vegetation Cover (EVC) and Height (EVH) are updated using transition rulesets with ST-Sim to account for disturbances, EVT remains unchanged, therefore EVT lifeform is not synchronized to the EVC/EVH lifeform as in some previous versions. LF uses EVT as an input for LF 2022 Fuel Vegetation Type (FVT).

LANDFIRE's (LF) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In this context, a terrestrial ecological system is defined as a group of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVT also includes ruderal or semi-natural vegetation types within the U.S. National Vegetation Classification [(NVC) http://usnvc.org/]. See the EVT product page (https://www.landfire.gov/evt.php) for more information about ecological systems and NVC. EVT is mapped using decision tree models, field data, Landsat imagery, elevation, and biophysical gradient data. Decision tree models are developed separately for tree, shrub, and herbaceous lifeforms which are then used to produce a lifeform specific EVT product. These models are generated for each Environmental Protection Agency (EPA) Level III Ecoregion (https://www.epa.gov/eco-research/ecoregions). Riparian, alpine, sparse and other site-specific EVTs are constrained by predetermined masks. Urban and developed areas are derived from the National Land Cover Database (NLCD), whereas agricultural lands originate from the Cropland Data Layer (CDL) and Common Land Unit (CLU) database. Developed ruderal classes are identified by combining wildland-urban-interface (WUI) data with population density information from the US Census Bureau. Annual Disturbance products are included to describe areas that have experienced landscape change within the previous 10-year period. EVT is then reconciled through QA/QC measures to ensure lifeform is synchronized with both Existing Vegetation Cover (EVC) and Height (EVH) products.

While there have been many maps produced that depict vegetation for the state of Hawai‘i only a few of these display land cover for all of the main Hawaiian Islands, and most of those that were created before the year 2000 have very generalized units or are somewhat inaccurate as a result of more recent land use changes or due to poor resolution (both spatial and spectral) in the imagery that was used to produce the map. Some of the more detailed and accurate maps include the Hawai‘i GAP Analysis (HI-GAP) Land Cover map (Gon et al. 2006), the NOAA C-CAP Land Cover map (NOAA National Ocean Service Coastal Services Center 2012), and the more recently released Hawai‘i LANDFIRE EVT Land Cover map (U.S. Geological Survey 2009). However, all of these maps as originally produced were not considered to be detailed enough, current enough, or had other classification issues that would not allow them to be used as the primary base for the Hawai‘i Carbon Assessment. For the Hawai‘i Carbon Ass ...

LANDFIRE's (LF) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In this context, a terrestrial ecological system is defined as a group of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVT also includes ruderal or semi-natural vegetation types within the U.S. National Vegetation Classification [(NVC) http://usnvc.org/]. See the EVT product page (https://www.landfire.gov/evt.php) for more information about ecological systems and NVC. EVT is mapped using decision tree models, field data, Landsat imagery, elevation, and biophysical gradient data. Decision tree models are developed separately for tree, shrub, and herbaceous lifeforms which are then used to produce a lifeform specific EVT product. These models are generated for each Environmental Protection Agency (EPA) Level III Ecoregion (https://www.epa.gov/eco-research/ecoregions). Riparian, alpine, sparse and other site-specific EVTs are constrained by predetermined masks. Urban and developed areas are derived from the National Land Cover Database (NLCD), whereas agricultural lands originate from the Cropland Data Layer (CDL) and Common Land Unit (CLU) database. Developed ruderal classes are identified by combining wildland-urban-interface (WUI) data with population density information from the US Census Bureau. Annual Disturbance products are included to describe areas that have experienced landscape change within the previous 10-year period. EVT is then reconciled through QA/QC measures to ensure lifeform is synchronized with both Existing Vegetation Cover (EVC) and Height (EVH) products.

LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, is a shared program between the wildland fire management programs of the U.S. Department of Agriculture's Forest Service, U.S. Department of the Interior's Geological Survey, and The Nature Conservancy. LANDFIRE (LF) layers are created using predictive landscape models based on extensive field-referenced data, satellite imagery and biophysical gradient layers using classification and regression trees. LANDFIRE's (LF) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification, developed by NatureServe for the western hemisphere, through 2016. A terrestrial ecological system is defined as a group of plant community types (associations) that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. *The LF Ecological Systems Descriptions for CONUS provides descriptions for each Ecological System including species, distribution and classification information. EVT also includes ruderal or semi-natural vegetation types within the U.S. National Vegetation Classification. The LF Ruderal NVC Groups Descriptions for CONUS provides descriptions for each ruderal NVC Group including species, distribution, and classification information. EVT is mapped using decision tree models, field data, Landsat imagery, elevation, and biophysical gradient data. Decision tree models are developed separately for each of the three lifeforms-tree, shrub, and herbaceous and are then used to generate lifeform specific EVT layers. Disturbance products are included in LF Remap products to describe areas on the landscape that have experienced change within the previous 10-year period. The EVT product is reconciled through QA/QC measures to ensure life-form is synchronized with both Existing Vegetation Cover and Existing Vegetation Height. The LANDIFRE Vegetation datasets include: Biophysical Settings (BPS) Environmental Site Potential (ESP) Existing Vegetation Canopy Cover (EVC) Existing Vegetation Height (EVH). Existing Vegetation Type (EVT) These layers are created using predictive landscape models based on extensive field-referenced data, satellite imagery and biophysical gradient layers using classification and regression trees.

LANDFIRE's (LF) 2016 Remap (Remap) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In the context, a terrestrial ecological system is defined as a group of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVT also includes ruderal or semi-natural vegetation types within the U.S. National Vegetation Classification [(NVC) http://usnvc.org/]. See the EVT product page (https://www.landfire.gov/evt.php) for more information about ecological systems and NVC. EVT is mapped using decision tree models, field data, Landsat imagery, elevation, and biophysical gradient data. Decision tree models are developed separately for tree, shrub, and herbaceous lifeforms which are then used to produce a lifeform specific EVT product. These models are generated for each Environmental Protection Agency (EPA) Level III Ecoregion (https://www.epa.gov/eco-research/ecoregions). Riparian, alpine, sparse and other site-specific EVTs are constrained by predetermined masks. Urban and developed areas are derived from the National Land Cover Database (NLCD), whereas agricultural lands originate from the Cropland Data Layer (CDL) and Common Land Unit (CLU) database. Developed ruderal classes are identified by combining wildland-urban-interface (WUI) data with population density information from the US Census Bureau. Annual Disturbance products are included to describe areas that have experienced landscape change within the previous 10-year period. EVT is then reconciled through QA/QC measures to ensure lifeform is synchronized with both Existing Vegetation Cover (EVC) and Height (EVH) products.

This statewide land cover theme is a digital raster map of natural vegetation communities and disturbances (e.g. wildland fire) and human land use activities for Montana. The basemap is adapted from the LANDFIRE 2016 Remap (LF 2.0.0) Existing Vegetation Type (EVT) classification, which used 30 m resolution Landsat multi-spectral imagery that represented circa 2016 ground conditions. The EVT product contained the distribution of ecological systems classification units developed by NatureServe, and also included semi-natural (ruderal) vegetation types within the U.S. National Vegetation Classification (NVC). The EVT mapping was developed using decision tree models, field data, Landsat imagery, elevation, and biophysical gradient data. Detailed metadata for EVT can be found at https://www.landfire.gov/vegetation/evt. Initial Data Sources and Processing Steps 2020 – 2021: The original LANDFIRE EVT raster was downloaded, clipped to the boundary of Montana, and projected from NAD 1983 Albers (meters) to NAD 1983-2011 State Plane Montana FIPS 2500 (meters). It was initially modified using state-specific datasets such as the 2017 MSDI Transportation Framework, the 2020 Montana Department of Revenue Final Land Unit (FLU) classification of private agricultural land, the USFS VMAP products and the Montana Ecological Groups; as well as national datasets such as SSURGO soils, the USGS Land Change Monitoring, Assessment, and Projection (LCMAP) and Monitoring Trends in Burn Severity (MTBS) rasters. Additional updates include reassignment of certain EVT classes and cross referencing some EVT classes to a modified version of ecological systems for Montana (Montana Field Guide for Ecological Systems, https://fieldguide.mt.gov/displayES_LCLU.aspx). EVT classes were further reassigned where there was disagreement with the expected species range described in the Montana Field Guide. For a detailed description of these initial steps see data processing steps Section 1. Ecological Group Data Processing Steps 2021-2023: EVT classes were reassigned based on visual inspection of each ecological group and informed by ancillary datasets, such as ecological group attributes, NAIP imagery, SSURGO soils, and elevation and its derivatives. The methods implemented in revising the original LANDFIRE 2016 REMAP product represent a successful proof of concept for performing locationally specific updates rather than only systematic statewide revisions. Project funding and time constraints precluded addressing all errors of omission and commission in the original LANDFIRE 2016 Remap product that could have been revised using methods developed for updating Landfire EVT for Montana Land Cover. For a detailed description see data processing steps Section 2.

The "Broad-scale assessment of biophysical features in Colorado: Ecological Communities" raster dataset provides a hierarchical vegetation classification (vegetation type, ecological community, and land cover class) for all lands in Colorado. This dataset is derived primarily from LANDFIRE Existing Vegetation Types (LF-EVT) with modifications of specific LF-EVT using ancillary datasets to improve land cover assignments. We used National Gap Analysis Program/LANDFIRE National Terrestrial Ecosystems (GAP/LF), elevation, and playa data to reclassify specific LF-EVT as described in SupplementalMethods.pdf, which is included with this data release. The attribute table for the 30-m raster includes a three-level vegetation classification. The finest level, vegetation type (attribute VegType), corresponds to LF-EVT. The LF-EVT values were retained (values less than 4000) except for modified vegetation types (as indicated by values of greater than 13,000). VegTypes were classified into 27 ecological communities (EcolComm) and 8 altered vegetation types. Ecological communities were classified into six land cover (LandCover) classes.

LANDFIRE's (LF) 2023 update (LF 2023) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In this context, a terrestrial ecological system is defined as a group of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. See the EVT product page (https://landfire.gov/vegetation/evt) for more information about ecological systems and NVC classifications. EVT is mapped using decision tree models, field data, Landsat imagery, topography, and biophysical gradient data. Decision tree models are developed separately for tree, shrub, and herbaceous lifeforms which are then used to produce a lifeform specific EVT product. These models are generated for each Environmental Protection Agency (EPA) Level III Ecoregion (https://www.epa.gov/eco-research/ecoregions). Riparian, alpine, sparse, and other site-specific EVTs are constrained by predetermined masks. In LF 2023 Conterminous United States (CONUS) extent, LF will map the lifeform, cover, and height of existing vegetation in areas that were mapped as disturbed over the last twenty years (see LF Annual Disturbance products) using machine learning methods. These disturbed areas were the focus because they are the areas that have changed the most since LF 2016 Remap. To learn more about this new methodology for LF EVC, EVH, and Existing Vegetation Type (EVT) go to https://landfire.gov/data/lf2023.

description: This dataset shows the current distribution of Colorado Plateau Pinyon-Juniper Woodland (LANDFIRE EVT) within the context of current and near-term terrestrial intactness and long-term potential for energy development and potential for climate change (4KM reporting units). Current terrestrial intactness is based on current measures of landscape development, fire regime and vegetation impacts, and fragmentation. Near-term intactness includes estimates of urban growth and expansion of invasive vegetation. Long-term potential for energy development is based on areas of potential for wind, solar, and petroleum development derived from multiple sources. Long-term potential for climate change is based on absolute changes in runoff, precipitation, temperature, and vegetation change estimated using climate projections (RegCM3 regional climate model based on ECHAM5 boundary conditions) and a biogeography model (MAPSS) for the period 2045-2060. These models present one possible set of estimates of the status and potential for change for this conservation element. Many additional factors may affect this conservation element beyond those captured in these models; these attributes could not be integrated using existing data within the scope of this REA. Local analysis are necessary to incorporate additional factors that strongly influence the status of this conservation element, such as degree of recreational use, expansion of invasive species, and human disturbance.; abstract: This dataset shows the current distribution of Colorado Plateau Pinyon-Juniper Woodland (LANDFIRE EVT) within the context of current and near-term terrestrial intactness and long-term potential for energy development and potential for climate change (4KM reporting units). Current terrestrial intactness is based on current measures of landscape development, fire regime and vegetation impacts, and fragmentation. Near-term intactness includes estimates of urban growth and expansion of invasive vegetation. Long-term potential for energy development is based on areas of potential for wind, solar, and petroleum development derived from multiple sources. Long-term potential for climate change is based on absolute changes in runoff, precipitation, temperature, and vegetation change estimated using climate projections (RegCM3 regional climate model based on ECHAM5 boundary conditions) and a biogeography model (MAPSS) for the period 2045-2060. These models present one possible set of estimates of the status and potential for change for this conservation element. Many additional factors may affect this conservation element beyond those captured in these models; these attributes could not be integrated using existing data within the scope of this REA. Local analysis are necessary to incorporate additional factors that strongly influence the status of this conservation element, such as degree of recreational use, expansion of invasive species, and human disturbance.

The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. DATA SUMMARY: The existing vegetation type (EVT) data layer represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western Hemisphere (). A terrestrial ecological system is defined as a group of plant community types (associations) that tend to co-occur within landscapes with similar ecological processes, substrates, andor environmental gradients. EVTs are mapped in LANDFIRE using decision tree models, field reference data, Landsat imagery, digital elevation model data, and biophysical gradient data. Go to for more information regarding contributors of field plot data. Decision tree models are developed separately for each of the three life-forms -tree, shrub, and herbaceous - using C5 software. Life-form specific cross validation error matrices are generated during this process to assess levels of accuracy of the models. Decision tree relationships are then used to generate life-form specific EVT spatial data layers. The final EVT and Environemtanl Site Potential (ESP) layers are compared and rectified through a series of QAQC measures. Values of one or more of these data layers are adjusted based on a hierarchical decision tree ruleset in order to align the respective life-forms and life-zone of each ESP and EVT category. The EVT layer is used in many subsequent LANDFIRE data layers. Refer to spatial metadata for date ranges of field plot data and satellite imagery for each LANDFIRE map zone. REFRESH 2008 (lf_1.1.0): Refresh 2008 (lf_1.1.0) used Refresh 2001 (lf_1.0.5) data as a launching point to incorporate disturbance and its severity, both managed and natural, which occurred on the landscape after 2001. Specific examples of disturbance are: fire, vegetation management, weather, and insect and disease. The final disturbance data used in Refresh 2008 (lf_1.1.0) is the result of several efforts that include data derived in part from remotely sensed land change methods, Monitoring Trends in Burn Severity (MTBS), and the LANDFIRE Refresh events data call. Vegetation growth was modeled where both disturbance and non-disturbance occurs.

description: The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees.DATA SUMMARY: The existing vegetation type (EVT) data layer represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western Hemisphere (http://www.natureserve.org/publications/usEcologicalsystems.jsp). A terrestrial ecological system is defined as a group of plant community types (associations) that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVTs are mapped in LANDFIRE using decision tree models, field reference data, Landsat imagery, digital elevation model data, and biophysical gradient data. Go to http://www.landfire.gov/participate_acknowledgements.php for more information regarding contributors of field plot data. Decision tree models are developed separately for each of the three life-forms -tree, shrub, and herbaceous - using C5 software. Life-form specific cross validation error matrices are generated during this process to assess levels of accuracy of the models. Decision tree relationships are then used to generate life-form specific EVT spatial data layers.The final EVT and Environemtanl Site Potential (ESP) layers are compared and rectified through a series of QA/QC measures. Values of one or more of these data layers are adjusted based on a hierarchical decision tree ruleset in order to align the respective life-forms and life-zone of each ESP and EVT category. The EVT layer is used in many subsequent LANDFIRE data layers. Refer to spatial metadata for date ranges of field plot data and satellite imagery for each LANDFIRE map zone.REFRESH 2008 (lf_1.1.0):Refresh 2008 (lf_1.1.0) used Refresh 2001 (lf_1.0.5) data as a launching point to incorporate disturbance and its severity, both managed and natural, which occurred on the landscape after 2001. Specific examples of disturbance are: fire, vegetation management, weather, and insect and disease. The final disturbance data used in Refresh 2008 (lf_1.1.0) is the result of several efforts that include data derived in part from remotely sensed land change methods, Monitoring Trends in Burn Severity (MTBS), and the LANDFIRE Refresh events data call. Vegetation growth was modeled where both disturbance and non-disturbance occurs.; abstract: The LANDFIRE existing vegetation layers describe the following elements of existing vegetation for each LANDFIRE mapping zone: existing vegetation type, existing vegetation canopy cover, and existing vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees.DATA SUMMARY: The existing vegetation type (EVT) data layer represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western Hemisphere (http://www.natureserve.org/publications/usEcologicalsystems.jsp). A terrestrial ecological system is defined as a group of plant community types (associations) that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVTs are mapped in LANDFIRE using decision tree models, field reference data, Landsat imagery, digital elevation model data, and biophysical gradient data. Go to http://www.landfire.gov/participate_acknowledgements.php for more information regarding contributors of field plot data. Decision tree models are developed separately for each of the three life-forms -tree, shrub, and herbaceous - using C5 software. Life-form specific cross validation error matrices are generated during this process to assess levels of accuracy of the models. Decision tree relationships are then used to generate life-form specific EVT spatial data layers.The final EVT and Environemtanl Site Potential (ESP) layers are compared and rectified through a series of QA/QC measures. Values of one or more of these data layers are adjusted based on a hierarchical decision tree ruleset in order to align the respective life-forms and life-zone of each ESP and EVT category. The EVT layer is used in many subsequent LANDFIRE data layers. Refer to spatial metadata for date ranges of field plot data and satellite imagery for each LANDFIRE map zone.REFRESH 2008 (lf_1.1.0):Refresh 2008 (lf_1.1.0) used Refresh 2001 (lf_1.0.5) data as a launching point to incorporate disturbance and its severity, both managed and natural, which occurred on the landscape after 2001. Specific examples of disturbance are: fire, vegetation management, weather, and insect and disease. The final disturbance data used in Refresh 2008 (lf_1.1.0) is the result of several efforts that include data derived in part from remotely sensed land change methods, Monitoring Trends in Burn Severity (MTBS), and the LANDFIRE Refresh events data call. Vegetation growth was modeled where both disturbance and non-disturbance occurs.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

EVT EVT LIMITED

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

LANDFIRE (LF), Landscape Fire and Resource Management Planning Tools, è un programma condiviso tra i programmi di gestione degli incendi boschivi del Forest Service del Dipartimento dell'Agricoltura degli Stati Uniti, del Geological Survey del Dipartimento dell'Interno degli Stati Uniti e di The Nature Conservancy. I livelli LANDFIRE (LF) vengono creati utilizzando modelli di paesaggio predittivi basati su …

LANDFIRE（LF）は、ランドスケープ火災とリソース管理計画ツールであり、米国農務省林野部、米国内務省地質調査所、ネイチャー コンサーバンシーの野外火災管理プログラム間で共有されるプログラムです。 LANDFIRE（LF）レイヤは、分類ツリーと回帰ツリーを使用して、広範なフィールド参照データ、衛星画像、生物物理学的勾配レイヤに基づく予測景観モデルを使用して作成されます。 LANDFIRE（LF）の既存の植生タイプ（EVT）は、NatureServe が西半球用に開発した陸上生態系分類の現在の分布を 2016 年まで示しています。陸上生態系は、類似の生態プロセス、基質、環境勾配を持つ景観内で共存する傾向のある植物群落のタイプ（アソシエーション）のグループとして定義されます。 *CONUS の LF 生態系の説明には、種、分布、分類に関する情報など、各生態系の説明が記載されています。 EVT には、米国の国立植生分類内の荒地または半自然植生タイプも含まれます。LF Ruderal NVC Groups Descriptions for CONUS には、種、分布、分類情報など、各 Ruderal NVC グループの説明が記載されています。 EVT は、決定木モデル、フィールドデータ、Landsat 画像、標高、生物物理学的勾配データを使用してマッピングされます。 決定木モデルは、樹木、低木、草本という 3 つの生命体ごとに個別に開発され、生命体固有の EVT レイヤの生成に使用されます。 擾乱プロダクトは LF 再マッピング プロダクトに含まれており、過去 10 年間に変化が生じた地形の領域を記述します。 EVT プロダクトは QA/QC 測定によって調整され、既存の植生被覆と既存の植生の高さの両方と生命体が同期されるようにします。 LANDIFRE 植生データセットには、次のものが含まれます。 生物物理学的設定（BPS） 環境サイトの可能性（ESP） 既存の植生被覆（EVC） 既存の植生高（EVH）。 既存の植生タイプ（EVT）これらのレイヤは、分類と回帰木を使用して、広範なフィールド参照データ、衛星画像、生物物理学的勾配レイヤに基づく予測景観モデルを使用して作成されます。

LANDFIRE (LF), czyli narzędzia do planowania zarządzania pożarami i zasobami w krajobrazie, to wspólny program służby leśnej Departamentu Rolnictwa USA, US Geological Survey i The Nature Conservancy. Warstwy LANDFIRE (LF) są tworzone za pomocą modeli prognozowania krajobrazu opartych na obszernych …

LANDFIRE's (LF) 2016 Remap (Remap) Existing Vegetation Type (EVT) represents the current distribution of the terrestrial ecological systems classification developed by NatureServe for the western hemisphere. In the context, a terrestrial ecological system is defined as a group of plant community types that tend to co-occur within landscapes with similar ecological processes, substrates, and/or environmental gradients. EVT also includes ruderal or semi-natural vegetation types within the U.S. National Vegetation Classification [(NVC) http://usnvc.org/]. See the EVT product page (https://www.landfire.gov/evt.php) for more information about ecological systems and NVC. EVT is mapped using decision tree models, field data, Landsat imagery, elevation, and biophysical gradient data. Decision tree models are developed separately for tree, shrub, and herbaceous lifeforms which are then used to produce a lifeform specific EVT product. These models are generated for each Environmental Protection Agency (EPA) Level III Ecoregion (https://www.epa.gov/eco-research/ecoregions). Riparian, alpine, sparse and other site-specific EVTs are constrained by predetermined masks. Urban and developed areas are derived from the National Land Cover Database (NLCD), whereas agricultural lands originate from the Cropland Data Layer (CDL) and Common Land Unit (CLU) database. Developed ruderal classes are identified by combining wildland-urban-interface (WUI) data with population density information from the US Census Bureau. Annual Disturbance products are included to describe areas that have experienced landscape change within the previous 10-year period. EVT is then reconciled through QA/QC measures to ensure lifeform is synchronized with both Existing Vegetation Cover (EVC) and Height (EVH) products.

This dataset is about stocks per day. It has 4,082 rows and is filtered where the stock is EVT.F. It features 3 columns: stock, and lowest price.