This dataset includes digital soil map products of key soil condition indicators covering the Regional Forest Agreement regions of eastern NSW. Raster maps at 100 m resolution reveal baseline (approximately 2008) levels of the soil indicators soil carbon, pH, bulk density, hillslope erosion and others. Maps are presented on trends of change resulting from different human and natural disturbances such as forest harvesting, uncontrolled stock grazing, climate change and bush fire. Full description of the digital soil maps and methods are presented in: Moyce MC, Gray JM, Wilson BR, Jenkins BR, Young MA, Ugbaje SU, Bishop TFA, Yang X, Henderson LE, Milford HB, Tulau MJ, 2021. Determining baselines, drivers and trends of soil health and stability in New South Wales forests: NSW Forest Monitoring & Improvement Program, Final report v1.1 for NSW Natural Resources Commission by NSW Department of Planning, Industry and Environment and University of Sydney.

This dataset created by the University of Sydney, includes time series digital soil map products of soil organic carbon (SOC) between January 1990 and December 2020 for the Regional Forest Agreement regions of eastern NSW. Modelling was completed using a data cube platform incorporating machine learning space-time framework and geospatial technologies. Products provide estimates of SOC concentrations and associated trends through time. Also important covariates required to drive this spatio-temporal modelling are identified using the Recursive Feature Elimination algorithm (RFE), which including a range of predictors that vary in space, time and space and time. Full description of the digital soil maps and methods are presented in: Moyce MC, Gray JM, Wilson BR, Jenkins BR, Young MA, Ugbaje SU, Bishop TFA, Yang X, Henderson LE, Milford HB, Tulau MJ, 2021. Determining baselines, drivers and trends of soil health and stability in New South Wales forests: NSW Forest Monitoring & Improvement Program, Final report v1.1 for NSW Natural Resources Commission by NSW Department of Planning, Industry and Environment and University of Sydney. The metadata's data packages section includes project scripts and code, final project report and an external Cloudstor link to download the predicted SOC map products,

Export DataThe Forest Monitoring Steering Committee commissioned a consortium between the NSW Department of Planning, Industry and Environment and the University of Sydney to deliver Baselines, Drivers and Trends for soil stability and health in forest catchments across the NSW Regional Forest Agreement areas.Find out more about the project here.Empirical Soil Maps: Soil data collected using an empirical approach, presented on 2162 units, based on the unit's most representative soil profile available within the Soil and Land Information System (SALIS). Maps reflect values when the sampling occurred with temporal changes not being accounted for.Metadata Portal Metadata InformationContent TitleBaselines for Soil Health and Stability in NSW RFA Regions: Empirical Soil MapsContent TypeScene Layer/Scene Layer PackageDescriptionSoil data collected using an empirical approach, presented on 2162 units, based on the unit's most representative soil profile available within the Soil and Land Information System (SALIS). Maps reflect values when the sampling occurred with temporal changes not being accounted for.Initial Publication Date30/05/2022Data Currency30/05/2022Data Update FrequencyOtherContent SourceOtherFile TypeMap Feature ServiceAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)OtherSpatial Reference System (web service)OtherWGS84 Equivalent ToOtherSpatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianNSW Natural Resources CommissionPoint of ContactEmma Pearce (Emma.Pearce@nrc.nsw.gov.au)Data AggregatorData DistributorSpatial VisionAdditional Supporting InformationTRIM Number

Export DataAccess APIThe Forest Monitoring Steering Committee commissioned a consortium between the NSW Department of Planning, Industry and Environment and the University of Sydney to deliver Baselines, Drivers and Trends for soil stability and health in forest catchments across the NSW Regional Forest Agreement areas.Find out more about the project here.Baseline Soil Maps: Digital Soil Modelling (DSM) outputs describing the baseline conditions of key indicators of soil condition, based on quantitative modelling techniques that relate known soil qualities with known environmental qualities and extrapolates using continuous environmental data.Metadata Portal Metadata InformationContent TitleBaselines for Soil Health and Stability in NSW RFA Regions: Baseline Soil MapsContent TypeScene Layer/Scene Layer PackageDescriptionDigital Soil Modelling (DSM) outputs describing the baseline conditions of key indicators of soil condition, based on quantitative modelling techniques that relate known soil qualities with known environmental qualities and extrapolates using continuous environmental data.Initial Publication Date14/06/2022Data Currency14/06/2022Data Update FrequencyOtherContent SourceOtherFile TypeMap Feature ServiceAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)OtherSpatial Reference System (web service)OtherWGS84 Equivalent ToOtherSpatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianNSW Natural Resources CommissionPoint of ContactEmma Pearce (Emma.Pearce@nrc.nsw.gov.au)Data AggregatorData DistributorSpatial VisionAdditional Supporting InformationTRIM Number

Export DataAccess APIThe Forest Monitoring Steering Committee commissioned a consortium between the NSW Department of Planning, Industry and Environment and the University of Sydney to deliver Baselines, Drivers and Trends for soil stability and health in forest catchments across the NSW Regional Forest Agreement areas.Find out more about the project here.Drivers & Trends: Maps describing trends of soil quality indicators and the impact of key drivers of soil condition change, such as Climate Change, Land Disturbance, Bushfires etc. This includes DSM models and Data Cube models using machine learning techniques.More information and the underlying datasets can be found here.Metadata Portal Metadata InformationContent TitleBaselines for Soil Health and Stability in NSW RFA Regions: Drivers and TrendsContent TypeScene Layer/Scene Layer PackageDescriptionMaps describing trends of soil quality indicators and the impact of key drivers of soil condition change, such as Climate Change, Land Disturbance, Bushfires etc. This includes DSM models and Data Cube models using machine learning techniques.Initial Publication Date14/06/2022Data Currency14/06/2022Data Update FrequencyOtherContent SourceOtherFile TypeMap Feature ServiceAttributionData Theme, Classification or Relationship to other DatasetsAccuracySpatial Reference System (dataset)OtherSpatial Reference System (web service)OtherWGS84 Equivalent ToOtherSpatial ExtentContent LineageData ClassificationUnclassifiedData Access PolicyOpenData QualityTerms and ConditionsCreative CommonsStandard and SpecificationData CustodianNSW Natural Resources CommissionPoint of ContactEmma Pearce (Emma.Pearce@nrc.nsw.gov.au)Data AggregatorData DistributorSpatial VisionAdditional Supporting InformationTRIM Number

This dataset contains spatial layers describing Forest Canopy Loss and Recovery from 1998-2019 in NSW Regional Forest Agreements (RFA) Areas along the eastern coast. These have been based off the National Greenhouse Gas Inventory (NGGI) National Carbon Accounting System (NCAS) National Forest and Sparse Woody Vegetation Data grids (ABARES, 2020). These base grids are Landsat in origin and have a resolution of 25m. For this dataset product and the processing of metrics, aspects of canopy loss and disturbances in the forest estate were investigated. Measures of canopy loss and recovery are seen as one of the multiple indicators of forest health. This is related to agents or pressures that affect the capacity of native forests and commercial operations to maintain normal ecosystem functions and sustainably provide productive capacity. To attribute disturbances, as a driver of change, a Multiple Lines of Evidence (MLE) approach was used that leveraged available spatial datasets. This allowed for a project-wide disturbance and disturbance context layer to be generated. This information can be interpreted back against forest cover extent change outputs, in particular the differences between individual years, to identify the areas of change and the likely reasons why. Therefore, landscape trends in forest loss can be potentially assigned or at the very least investigated. The time taken, in terms of years, for areas to recover from losses in forest canopy cover extent can has also been determined. This process identifies the time taken for a patch of forest to return to a 20% canopy cover threshold, and other characteristics such as the forest type and likely disturbance or loss event. Forest Canopy Loss and Recovery uses measures of canopy loss and disturbances which can be interpreted back against forest cover extent change outputs, in particular the differences between individual years, to identify the areas of change and the likely reasons why. Therefore, landscape trends in forest canopy loss can be potentially assigned or at the very least investigated. Time taken in years for areas to recover for losses has also been determined, as-well as other characteristics such as forest type and likely disturbance/loss event. Base cover extent grids used are from the NSW RFA Historic Forest Canopy Cover Extent – 1995 to 2019 product. Read more about the project on the Natural Resources Commission website: https://www.nrc.nsw.gov.au/fmip-baselines-ecosystem-health-projectfe1 This dataset is superseded by 'NSW Forest Monitoring and Improvement Program State-Wide Historic Forest Canopy Loss and Recovery - 1998 to 2020'

This dataset contains spatial layers describing Forest Loss and Recovery from 1998-2020 in NSW. For this dataset product and the processing of metrics, aspects of canopy loss and disturbances in the forest estate were investigated. Measures of canopy loss and recovery are seen as one of the multiple indicators of forest health. This is related to agents or pressures that affect the capacity of native forests and commercial operations to maintain normal ecosystem functions and sustainably provide productive capacity. To attribute disturbances, as a driver of change, a Multiple Lines of Evidence (MLE) approach was used that leveraged available spatial datasets. This allowed for a project-wide disturbance and disturbance context layer to be generated. This information can be interpreted back against forest cover extent change outputs, in particular the differences between individual years, to identify the areas of change and the likely reasons why. Therefore, landscape trends in forest loss can be potentially assigned or at the very least investigated. The time taken, in terms of years, for areas to recover from losses in forest cover extent can has also been determined. This process identifies the time taken for a patch of forest to return to a 20% canopy cover threshold, and other characteristics such as the forest type and likely disturbance or loss event. Base cover extent grids used are from the NSW State-wide Historic Forest Cover Extent – 1995 to 2020 product. These have been processed through a series of land use and vegetation type exclusion masking and a through a fuzzy-logic based certainty analysis to reflect a forest cover extent coverage for NSW that is reflective of past and current coverage. Read more about the project on the Natural Resources Commission website: https://www.nrc.nsw.gov.au/fmip-baselines-ecosystem-health-projectfe1 This dataset supersedes "NSW Forest Monitoring and Improvement Program RFA Historic Forest Loss and Recovery – 1998 to 2019".

This dataset contains spatial layers describing Forest Connectivity from 1995-2019, in NSW Regional Forest Agreements (RFA) Areas along the eastern coast. Forest Connectivity accounts for the general quality of terrestrial habitats supporting biodiversity at each location, the fragmentation of habitat within its neighbourhood and how its position in the landscape contributes to connectivity among the habitats across a region. These have been based off the National Greenhouse Gas Inventory (NGGI) National Carbon Accounting System (NCAS) National Forest and Sparse Woody Vegetation Data grids (ABARES, 2020). These base grids are Landsat in origin and have a resolution of 25m. Forest Connectivity, including canopy cover connectivity and fragmentation is concerned and linked to forest condition. Concepts applied are to be aligned with definitions as found in the NSW Biodiversity Indicator Program (BIP) and the Spatial Links methodology for calculating connectivity. Base cover extent grids used are from the NSW RFA Historic Forest Canopy Cover Extent – 1995 to 2019 product. Read more about the project on the Natural Resources Commission website: https://www.nrc.nsw.gov.au/fmip-baselines-ecosystem-health-projectfe1 This dataset is superseded by 'NSW Forest Monitoring and Improvement Program State-Wide Historic Forest Connectivity - 1995 to 2020'

Data is provided for fourteen native forest plots in NSW measured in April 2021 during a pilot of potential field measurement methods for the state-wide forest plot network as part of the NSW Forest Monitoring and Improvement Program. Data includes tree height, diameter, canopy cover, species composition, coarse woody debris, fuel hazard, Biodiversity Assessment Method structure, as well as raw and processed data from terrestrial LiDAR scans.

The Inventory and Monitoring (I&M) Division's Northeast Temperate Network (NETN) has identified forest vegetation, and several associated vital signs, as high priority for long-term monitoring. The NETN long-term forest monitoring protocol was adapted from methods developed by the U.S. Forest Service Forest Inventory and Analysis program and was developed in collaboration with other eastern forest I&M networks. The NETN forest monitoring protocol assesses the status and trends in structure, function, and composition of forested ecosystems, along with the impacts of stressors such as white-tailed deer, invasive exotic plants, exotic pests and pathogens, and effects of acid deposition on forest soils. A set of Standard Operating Procedures are shared with the Mid-Atlantic Network's forest vegetation monitoring protocol. The current protocol has been designed to sample 350 plots in forested areas of NETN parks. Plot locations are randomly chosen using a spatially balanced design (generalized random-tessellation stratified). Each plot consists of a 20 x 20 m square (15 x 15 m square in Acadia National Park) where all stems with a diameter at breast height (dbh) ≥10 cm are identified, measured, tagged, marked, mapped, and their condition assessed. Stems with a dbh ≥1 cm are identified and measured in each of three microplots. Number of tree seedlings by height class and percent cover of shrubs ≥30 cm tall are also recorded in each of three microplots. Percent cover of all vascular plant species is estimated by species in eight 1 m2 quadrats. Coarse woody debris is measured along three 15 m transects. Data collected by the NETN forest monitoring protocol are used to inform management decisions affecting forested systems in NETN parks. To view all protocol documents, please visit: https://irma.nps.gov/DataStore/Reference/Profile/2189099 This data package contains a cumulative record of all forest monitoring data collected at National Park units in the Northeast Temperate Network (NETN) through the most recent field season and is organized into twenty-six (26) datasets: AdditionalSpecies_NETN.csv contains data captured during a 15-minute search for species not observed during other protocol activities on the plot. CWD_NETN.csv contains data captured from Line intercept sampling of coarse woody debris (CWD) along three 15-m transects. EventObservers_NETN.csv contains a list of all observers for each sampling event. Events_NETN.csv contains a list of all sampling events. MicroplotSaplings_NETN.csv contains data for all saplings measured in microplots. MicroplotSaplingsCount_NETN.csv contains data for all saplings that required a count. MicroplotSeedlings_NETN.csv contains counts of tree seedlings by species and height category collected in microplots. MicroplotShrubs_NETN.csv contains data for all shrubs measured in microplots. Plots_NETN.csv contains data regarding forest sampling plots. QuadCharacter_NETN.csv contains data characterizing the substrate of 1-m2 quadrats using standard cover classes. QuadNotes_NETN.csv contains a list of annotations relating to the sampling of quadrats. QuadSpecies_NETN.csv contains data for groundstory vascular plant species collected in 1-m2 quadrats using standard cover classes. SoilHeader_NETN.csv contains event data for soil sampling. SoilLab_NETN.csv contains soil lab results for all soil samples collected. SoilSample_NETN.csv contains sample details for soil sampling. StandDisturbances_NETN.csv contains plot disturbance data for each sampling event. StandForestFloor_NETN.csv contains plot forest floor cover for each sampling event. StandInfoPhotos_NETN.csv contains various plot level metrics for each sampling event. StandPlantCoverStrata_NETN.csv contains plot level plant cover strata for each sampling event. StandSlopes_NETN.csv contains stand slope measurements for each sampling event. StandTreeHeights_NETN.csv contains tree height measurements for each sampling event. Taxa_NETN.csv contains