{"help": "https://www.planningportal.nsw.gov.au/opendata/api/3/action/help_show?name=package_show", "success": true, "result": {"alternative_title": "Determining baselines and trends of soil health and stability in NSW forests \u2013 Regional Forest Agreement regions: An empirical approach", "approvaldate": "2022-05-17", "asset_details": "{\"package_id\": \"6cc4dbe4-ddad-49e1-9ddd-b4667ee6339c\", \"identify\": [false, false, false, false, false, false, false, false, false, false], \"asset_location\": \"\\\\\\\\metrofs01.dec.int\\\\ssd_mer\\\\themes\\\\soil_condition\\\\NRC_forest_soil_condition_2021\\\\Empirical_soil_maps\\r\\n\\r\\n\\\\\\\\parrxfp02.dec.int\\\\group\\\\SD EMS Assessment\\\\Forest Monitoring\\\\FinalOutputs\", \"opendata_ready\": true, \"institutional\": [true, true, true, true, true], \"coherence\": [true, true, true, false, true], \"accessibility\": [true, true, true, true, true], \"oeh_theme_two\": \"--Nothing selected--\", \"storage_format\": \"Shapefiles, PDF, geodatabase  feature class, csv\", \"id\": \"c283061f-6488-4985-9425-de7f93ceaf20\", \"source_system\": \"not applicable\", \"security\": \"Official\", \"accuracy\": [true, false, false, true, true], \"interpretability\": [false, true, true, true, true], \"oeh_theme_one\": \"soil\", \"bit_dqs\": 33513279, \"creator\": {\"business_unit\": \"DPIE, Environment Protection Science, Soil and Landscape Assessment Team\", \"id\": \"204c63df-b8f7-42d0-8005-c2a204835cc5\", \"position\": \"Senior Scientist, Geo Spatial Assessment\", \"role\": \"creator\", \"name\": \"Mark Young\", \"email\": \"Mark.young@environment.nsw.gov.au\", \"contact\": \"02 9895 6507\", \"package_id\": \"6cc4dbe4-ddad-49e1-9ddd-b4667ee6339c\"}, \"owner\": {}, \"custodian\": {\"business_unit\": null, \"id\": \"0cfcbb19-dd32-4f2e-a125-95248813f9d4\", \"position\": \"Natural Resources Commissioner\", \"role\": \"custodian\", \"name\": null, \"email\": null, \"contact\": null, \"package_id\": \"6cc4dbe4-ddad-49e1-9ddd-b4667ee6339c\"}, \"steward\": {\"business_unit\": null, \"id\": \"64598a00-c0d1-4410-b7e9-a10ec5558640\", \"position\": \"Senior Team Leader, Soil and Landscape Assessment\", \"role\": \"steward\", \"name\": \"Brian Jenkins\", \"email\": \"Brian.Jenkins@environment.nsw.gov.au\", \"contact\": null, \"package_id\": \"6cc4dbe4-ddad-49e1-9ddd-b4667ee6339c\"}}", "author": null, "author_email": null, "creatorName": "", "creator_user_id": "0106c1f2-85ad-4f5e-a17d-a5b8f7030b95", "dataset_template": "vector", "datum": "GDA94 / Geographic", "edition": "version 1", "equivalent_scale": "100000", "extent_supplemental": "__Spatial GIS shapefile attribute table fieldnames:__\r\n\r\n*  _SL_NSWcode_ - Unique soil landscape map unit code\r\n*  _SL_NSWname_ - Unique soil landscape map unit name\r\n*  _ProfileID_ - Unique identifer assigned to a profile in SALIS\r\n*  _TP_confidc_ - Soil profile data confidence class code (A-D)\r\n*  _TP_confid_ - Soil profile data confidence class (A - High, B - Moderate, C - Low D - No data)\r\n*  _Soil_GSG_ - Soil profile's Great Soil Group soil type classification\r\n*  _Soil_ASCo_ - Soil profile's Australia Soil Classification soil type classification at order level.\r\n*  _Soil_ASCso_ - Soil profile's Australia Soil Classification soil type classification at suborder level.\r\n*  _Lyr1_LwDpt_ - Lower depth of A1 surface soil horizon\r\n*  pHca_w_ - topsoil pH value (using 1:5 soil/0.01M calcium chloride extract (4B1). Includes conversions from pH 1:5 soil/water suspension (4A1) using approach of Henderson and Bui (2003).\r\n*  _OC_6A1_ - Total Soil Organic Carbon value (Walkley-Black wet oxidation (C6A1)\r\n*  _Em_513_98_ - Emerson Aggregate Test - 8 class system SCS method (513.98)\r\n\r\n ", "field_of_research": "Soil Sciences not elsewhere classified", "geospatial_representation": "vector", "geospatial_topic": ["environment"], "hierarchy_weight": "0", "id": "f3a58605-fbb6-496f-b16c-0af11c1265ad", "identification_status": "planned", "isopen": true, "keywords_string": "SOIL,SOIL-Erosion,FORESTS,CLIMATE-AND-WEATHER-Climate-change", "language": "eng", "license_id": "cc-by", "license_title": "Creative Commons Attribution", "license_url": "http://www.opendefinition.org/licenses/cc-by", "lineage": "The empirical soil indicator maps were created by linking existing soil landscape spatial data with NSW SALIS soil profile data. There were 2162 soil map units within the Regional Forest Agreement study area and approximately 2100 soil profiles with some supporting laboratory data were available for the analysis. Most of the detailed profiles were collected from past NSW soil survey program activities. \r\n  \r\nThe approach designated each landscape unit with a representative soil profile. This soil profile was selected from within a landscape unit based on several ranked criteria to determine the most representative soil data. Criteria included its:\r\n\r\n*  Location within forest area (woody vegetation areas during 2008)\r\n*  Soil landscape unit\r\n*  Amount of useful laboratory data available\r\n*  Representative \u2018type profile\u2019 status\r\n*  Forest condition representativeness\r\n\r\nThe lab results of the selected soil profile were considered to be representative of the whole landscape unit (ideally coming from a forested location of the dominant facet or sub-landscape area) and attributed to the Geographic Information System (GIS) spatial layer to produce the maps\r\n\r\nThe key soil indicators maps produced included pHca, Total Soil Organic Carbon, and Emerson Aggregate Test. Indicator values are representative of the surface  A1 horizon layer of the soil. \r\n", "maintainer": null, "maintainer_email": null, "metadata_created": "2021-10-18T00:29:50.837169", "metadata_modified": "2025-10-23T01:03:30.830266", "name": "nsw-eastern-forest-soil-condition-empirical-soil-maps", "notes": "This dataset includes four soil products using an empirical approach to assess soil condition indicators and complete a data gap analysis covering the Regional Forest Agreement regions of eastern NSW. \r\n\r\nIn the empirical analysis, maps presented soil indicator values of topsoil pH, organic carbon and emerson aggregate stability for each of the 2162 soil map 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 and used the 2008 woody vegetation coverage as the baseline extent. The dataset identifies the locations where data is missing or of poor quality, providing a confidence rating map as part of the evaluation process. \r\n\r\nFull description of the empirical maps and methods are presented in:\r\nMoyce 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_v1.1](https://datasets.seed.nsw.gov.au/dataset/nsw-eastern-forest-soil-condition-report), Final report for NSW Natural Resources Commission by NSW Department of Planning, Industry and Environment and University of Sydney.  ", "num_resources": 4, "num_tags": 9, "oeh_publishing_state": "yes", "organization": {"id": "8951d4f1-e598-4384-a43c-fab77d3ee733", "name": "nsw-natural-resources-commission", "title": "NSW Natural Resources Commission", "type": "organization", "description": "The Natural Resources Commission (the Commission) is an independent body with broad investigating and reporting functions for the purposes of establishing a sound evidence basis for the properly informed management of natural resources in the social, economic and environmental interests of the State.\r\n\r\nThe Commission aims to be of service to the people of NSW through providing independent, evidence based advice and thought leadership to Government to secure triple bottom line outcomes in natural resource management.", "image_url": "2022-01-13-002700.792694imageupload", "created": "2022-01-13T11:27:00.809887", "is_organization": true, "approval_status": "approved", "state": "active"}, "owner_org": "8951d4f1-e598-4384-a43c-fab77d3ee733", "package_type": "dataset", "parent_id": "nsw-eastern-forest-soil-condition-report", "place_name": "Regional Forest Agreement Regions of eastern NSW", "presentation_form": "mapDigital", "private": false, "purpose": "For monitoring and managing soil condition in eastern NSW forests into the future.", "restriction": "licence", "spatial_coverage": "{\"type\": \"Polygon\", \"coordinates\": [[[148, -37.7], [148, -28], [154, -28], [154, -37.7], [148, -37.7]]]}", "spatial_distance": "100", "spatial_units": "m", "state": "active", "syndicate": "true", "temporal_coverage_from": "1990-01-01", "temporal_coverage_to": "2021-01-02", "title": "NSW eastern forest soil condition: empirical soil maps", "type": "dataset", "update_freq": "asNeeded", "url": null, "use_limitation": "This data is provided under a Creative Commons Attribution 4.0 licence <a href='http://creativecommons.org/licenses/by/4.0'>http://creativecommons.org/licenses/by/4.0</a>. Attribute 'NSW Natural Resources Commission' in publications using this data.", "version": null, "data_quality": [{"date": "2021-07-16", "details": "Only soil map units mapped as woody vegetation in 2008 within the Regional Forest Agreement regions were assessed. As a priority, soil profiles were selected to represent the landscape unit from within these areas. In some cases, profiles were used from within the same landscape unit, but outside this forested extent, e.g. cleared grazing land. For these profiles, indicator values were allocated a lower confidence rating.\r\n\r\nIt is noted that some profile data used in the analysis was selected from outside the NSW 2008 woody vegetation layer extent, but were reflective of forested soil conditions at time of sampling (i.e. the land use or vegetation cover was different at the time of sampling than it was in 2008 and the sample was collected from a location which was forested at the time).  A forest condition representativeness index was used in the analysis to help account for this situation and enable more appropriate profile selection.", "type": "mdq:DQ_CompletenessCommission"}, {"date": "2021-07-16", "details": "This empirical dataset did not use any soil profile data or spatial soil mapping from outside of the NSW RFA regions. The mapping of soil indicators also only occurred  from within the woody vegetation extent of 2008.\r\n\r\nIn this version, a small amount of laboratory data was either temporarily unavailable or in an unusable format and therefore not incorporated into the final products. A future version of this dataset proposed to be published in November 2021 will likely update and rectify these data gaps.\r\n\r\nThe attribute table of the spatial shapefile is complete with all available data. Some profiles within the RFA regions, may not be attributed with both classification systems in SALIS and have been left blank. For numerical soil indicator fields, there is no natural test value recorded for zero and hence missing values in this case were assigned a zero number.  The numeric value assigned for water is -99 and Not assessed is -98.", "type": "mdq:DQ_CompletenessOmission"}, {"date": "2021-07-16", "details": "In the analysis, soil profile data was not used to represent multiple map units within the RFA area. A standardised process using set criteria was also implemented for consistency during the assessment and assigning of soil profiles to representative spatial soil landscape areas.\r\n", "type": "mdq:DQ_ConceptualConsistency"}, {"date": "2021-07-16", "details": "ArcGIS was used to remove all topological errors including unwanted gaps and overlapping polygons. A cluster tolerance of 0.000003 decimal degrees (~0.3 m) was set.", "type": "mdq:DQ_TopologicalConsistency"}, {"date": "2021-07-16", "details": "These maps used existing soil landscape mapping with a published scale of 1:100,000. Therefore linework has a theoretical accuracy of around 100m on the ground. This will vary between different areas across the RFAs, being also dependant on the type of survey completed there and it's quality.\r\n\r\nAn assumption was made that all soil profile data was representative of the exact locational  position assigned with the profile, which is particularly important when conducting GIS spatial join interpretations. While this is generally reliable, especially for later profiles collected with a GPS, some degree of quality verification and checking would be recommended to establish or refine detailed on-ground forest soil monitoring assessments.\r\n", "type": "mdq:DQ_AbsoluteExternalPositionalAccuracy"}, {"date": "2021-07-16", "details": "An indication of the confidence and quality of soil profile data used to assess forest soil condition was provided as part of the dataset. The classification system is outlined below:\r\n\r\n*  __High confidence:__ a profile with laboratory data within the forest area and within the dominant facet of the landscape unit.\r\n*  __Moderate confidence:__ a profile with laboratory data within the forest area but not within the dominant facet of the landscape unit.\r\n*  __Low confidence:__ no profiles with laboratory data within the forest area, but representative lab data available for another part of the landscape.\r\n*  __No data:__ no profiles with laboratory data exist within the landscape.\r\n\r\n\r\nOther assumptions made regarding the attribute data include:\r\n\r\n*  That soil indicator values taken from any location within woody vegetation areas during 2008 were significantly more reflective of typical forest baseline conditions than profiles which (were representative of the map unit) but occurred outside the woody vegetation area.\r\n\r\n*  These empirical soil outputs also did not consider the temporal change of indicator values and soil profiles suite used were collected over a 30 year period. These may not be completely reflective of conditions now.\r\n\r\n*  In areas that contained limited information and gaps, some educated interpretations were required at times for parts of the analysis, for example during the 'Representative type profile status' allocation process.", "type": "mdq:DQ_NonQuantitativeAttributeCorrectness"}], "extras": [{"key": "syndicated_id", "value": "922a51db-9179-468a-9236-4ef112f0387b"}], "resources": [{"cache_last_updated": null, "cache_url": null, "created": "2025-10-23T01:03:30.886492", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Data quality statement for NSW eastern forest soil condition: empirical soil maps.", "format": "PDF", "hash": "", "id": "121fd3b6-65ad-47be-9fff-609e83a2b46e", "last_modified": null, "metadata_modified": "2025-10-23T01:03:30.842672", "mimetype": null, "mimetype_inner": null, "name": "Data quality statement", "package_id": "f3a58605-fbb6-496f-b16c-0af11c1265ad", "position": 0, "resource_type": null, "size": null, "state": "active", "url": "https://www.planningportal.nsw.gov.au/opendata/dataset/nsw-eastern-forest-soil-condition-empirical-soil-maps/resource/data_quality_report/pdp", "url_type": null}, {"cache_last_updated": null, "cache_url": null, "created": "2021-10-05T03:04:34.747175", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Download the version 1 of package: GIS spatial map linework, ESRI layer files, soil indicator PDF maps, Final report and metadata. 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Report and metadata also included.", "format": "ZIP", "handle_message": "", "hash": "", "id": "faa833a2-a669-45f9-ba28-1317319c9cd6", "last_modified": null, "metadata_modified": "2025-10-23T01:03:30.842955", "mimetype": null, "mimetype_inner": null, "mint_handle": false, "name": "Empirical soil indicator maps", "package_id": "f3a58605-fbb6-496f-b16c-0af11c1265ad", "position": 2, "private": false, "resource_type": null, "size": 13215404, "state": "active", "url": "https://www.planningportal.nsw.gov.au/opendata/dataset/f3a58605-fbb6-496f-b16c-0af11c1265ad/resource/faa833a2-a669-45f9-ba28-1317319c9cd6/download/indicator_ph_toc_eat_confidence_maps_v1_1_empirical_211018.zip", "url_type": "upload"}, {"cache_last_updated": null, "cache_url": null, "created": "2021-10-05T05:09:08.762181", "datastore_active": false, "datastore_contains_all_records_of_source_file": false, "description": "Download the technical report: Determining baselines, drivers and trends of soil health and stability in NSW forests \u2013 RFA regions.", "format": "PDF", "handle_message": "", "hash": "", "id": "10298767-79a6-43fb-bab4-bbcbb504b87d", "last_modified": "2022-05-02T07:02:32.685790", "metadata_modified": "2025-10-23T01:03:30.843045", "mimetype": null, "mimetype_inner": null, "mint_handle": false, "name": "NSW eastern forest soil condition report v1.1", "package_id": "f3a58605-fbb6-496f-b16c-0af11c1265ad", "position": 3, "private": false, "resource_type": null, "size": 9309490, "state": "active", "url": "https://www.planningportal.nsw.gov.au/opendata/dataset/f3a58605-fbb6-496f-b16c-0af11c1265ad/resource/10298767-79a6-43fb-bab4-bbcbb504b87d/download/nsw-dpie-soil-health-in-nsw-forests-oct-2021a.pdf", "url_type": "upload"}], "tags": [{"display_name": "CLIMATE-AND-WEATHER-Climate-change", "id": "1df50092-ea34-41e0-b632-491ae97c505f", "name": "CLIMATE-AND-WEATHER-Climate-change", "state": "active", "vocabulary_id": null}, {"display_name": "EAT", "id": "cb1d20a2-4fa7-4e31-ab0c-bb970e67814c", "name": "EAT", "state": "active", "vocabulary_id": null}, {"display_name": "FORESTS", "id": "c6ab36c5-7e04-41d4-9ff5-9c69e17cb380", "name": "FORESTS", "state": "active", "vocabulary_id": null}, {"display_name": "SOIL", "id": "2b76d95a-bfa7-4a9b-a123-e031b30c4e1c", "name": "SOIL", "state": "active", "vocabulary_id": null}, {"display_name": "SOIL-Erosion", "id": "3d6b3eda-4b8c-45bd-87e3-b302e0b19b35", "name": "SOIL-Erosion", "state": "active", "vocabulary_id": null}, {"display_name": "Soil Condition", "id": "1eb2c2d8-bf16-4022-92c3-03abea4d2fa8", "name": "Soil Condition", "state": "active", "vocabulary_id": null}, {"display_name": "emerson aggregate", "id": "600ff974-f7a6-49d4-93a1-6a1d7eb1b987", "name": "emerson aggregate", "state": "active", "vocabulary_id": null}, {"display_name": "organic carbon", "id": "485c73fc-d228-4337-99d3-dc247dca5058", "name": "organic carbon", "state": "active", "vocabulary_id": null}, {"display_name": "pH", "id": "8d324063-c431-4fb9-bf01-79e8846c566d", "name": "pH", "state": "active", "vocabulary_id": null}], "vector_spatial_representation": [{"type": "surface"}], "groups": [], "relationships_as_subject": [], "relationships_as_object": []}}