The spatial layers in this dataset detail forest cover extent over NSW. They have been created for the NSW Natural Resources Commission to detail historic baseline and trends of forest cover extent coverage for NSW for all land tenures, including all RFAs and IFOAs. 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, 2021). These base grids are Landsat in origin and have a resolution of 25m. These base grids 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. These grids cover the years from 1995 to 2020. The year gaps are triennial or biennial data layers from 1995 to 2004. 1996,1997,1999,2001,2003 years missing as these were not assessed in original applied database. From 2004 to 2020 data layers become annualised. 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 Cover Extent – 1995 to 2019". https://portal.tern.org.au/metadata/TERN/fef2d61b-7c5e-42be-88c1-849a3fc6a70a.

This dataset contains spatial layers describing Forest Canopy Extent from 1995-2019 in NSW Regional Forest Agreements (RFA) Areas along the eastern coast. Forest Canopy Extent is the likelihood that a certain area has forest at any given time. Forest Canopy is defined in accordance with the National State of the Forests Report which defines forests as containing as a minimum, a mature or potentially mature stand height exceeding 2 metres, stands dominated by trees usually having a single stem, where the mature or potentially mature stand component comprises 20% canopy coverage using a Crown Projective Cover (CPC) measure. 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. To calculate forest canopy extent, these base grids 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 is superseded by 'NSW Forest Monitoring and Improvement Program State-Wide Historic Forest Canopy Cover Extent - 1995 to 2020'

The NSW forest agreement regions dataset contains the boundaries of the four current NSW forest agreements which cover the eastern areas of NSW. The regions include the Upper North East, Lower North East, Eden and Southern. NSW forest agreements provide a framework for long-term decisions on forest use and management. They were formed from consultation and consensus established between the NSW Government and major forest stakeholders. Forest agreements impart certainty for industry, conservation and the community. They deliver on the NSW Government's forest policy to: • protect environmental values in a world-class system of national parks and other reserves • encourage the creation of forest industries that are strong, competitive and ecologically sustainable • manage native forests in an ecologically sustainable way. The agreements are for 20 years and progress on their implementation is reported annually. Further information on each NSW forest agreement is available on the EPA website at http://www.epa.nsw.gov.au/forestagreements/FAS.htm

The NSW 5m Woody Extent is a state-wide binary classification of woody vegetation derived from multitemporal 5m SPOT-5 satellite imagery. The product broadly identifies isolated tree crowns as well as contigous forest at a 5m resolution. This latest map of woody vegetation extent for NSW is the highest detailed to date. It shows the location and extent of woody vegetation in NSW for the year 2011. It can be used to identify small features such as paddock trees and trees in scattered woodlands, to the largest expanses of forest in the state. It is intended for use in non-urban environments and its accuracy for urban environments has not been assessed. The dataset is also used as a spatial constraint for a seamless map of woody foliage projection cover (FPC). FPC is the fraction of the ground that is obscured by green leaf, and is a measure of density. The FPC dataset is delivered as a separate map to the woody extent (although it is constrained by it), and it can also be requested from the OEH data broker. The woody extent product was derived from user-driven thresholds on an index of woody probability. The probability was calculated from a binomial logistic regression model on multi-temporal data. The model utilsed the statistics from SPOT-5 imagery over 2008-2012 and referenced over 26000 training points. Comprehensive manual corrections were also performed throughout 2013-2014 at a scale of 1:15000. The dataset is provided in 8-bit raster format with the following attributes values: 1 = Woody 0 = Non-Woody 255 = null (either outside the NSW boundary or a perennial water feature) Overall state accuracy is recorded at 90.1% when compared to Lidar datasets (see lineage for more information), and 88% when compared to 6670 visually derived validation points. Although this dataset has undergone extensive manual corrections, the accuracy for specific regions may vary considerably. http://www.auscover.org.au/xwiki/bin/view/Product+pages/nsw+5m+woody+extent+and+fpc

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'

The spatial layers in this dataset detail forest connectivity over NSW. 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. Forest canopy cover connectivity and fragmentation is concerned and linked to forest condition. Concepts applied are to be aligned with definitions as found in the Biodiversity Indicator Program (BIP) and the Spatial Links methodology for calculating connectivity. Base cover extent grids used are from the NSW Forest Monitoring and Improvement Program Statewide 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 Connectivity – 1995 to 2019". https://portal.tern.org.au/metadata/TERN/fef2d61b-7c5e-42be-88c1-849a3fc6a70a.

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".

2022년말 기준 지방자치단체 및 지방산림청에서 지정한 산림유전자원보호구역 현황을 취합한 행정자료- 최신현황 및 구체적인 자료를 해당 지방자치단체 및 지방산림청에 문의/확인 필요

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'