Janine Kinloch - Vegetation Complexes - South West forest region of Western Australia (DBCA-047)
공공데이터포털
Department of Parks and Wildlife (DPaW) - Vegetation Complexes - SWF50k The dataset is a comprehensive coverage of pre-1750 distribution of vegetation complexes of the south west forest region of Western Australia. This 1:50,000 mapping was undertaken by Mattiske and Havel (1998) as part of the biodiversity assessment for the comprehensive regional assessment for the south west forest region. The outputs from this project were used as inputs to the assessments of national estate, ecologically sustainable forest management, endangered species and the integration of all these values in the 1999 Regional Forest Agreement (RFA). This dataset covers the full extent mapped by Mattiske and Havel (1998) not just the area within the RFA boundary. In March 2015 the dataset was reviewed to correct known and documented minor attributing errors and additional fields were incorporated including a unique numerical identifier (SWFor_ID). Webb et al. (2016) reviewed the 1:50,000 mapping of the Whicher Scarp and changes were made to ensure the complexes were a continuation of those defined by Mattiske and Havel (1998) and the extent of the landform correlated to that as defined by soil-landscape mapping (DAFWA 2007). In addition the review consolidated the boundaries along the Whicher and Darling Scarp interface with the Swan Coastal Plain. All Swan Coastal Plain complexes were removed and incorporated into the 2016 mapping of the “Swan Coastal Plain Vegetation Complexes” (Webb et al. 2016).
Land cover classification data for wetland complexes at Dixie Meadows, Nevada from January 2022 to November 2023
공공데이터포털
These data were compiled to provide satellite remote sensing observations of landcover in the vicinity of wetlands fed by geothermal springs in Dixie Meadows, Nevada, USA. Objectives of the study were to map landcover of water, vegetation, and soil between January 26, 2022 and November 27, 2023 using available imagery from the Sentinel-2 mission, thereby extending previously published data from October 5, 2015 to January 21, 2022 (Bransky et al., 2023). The US Geological Survey's Southwest Biological Science Center (SBSC) and Grand Canyon Monitoring and Research Center (GCMRC) processed 36 Sentinel-2 satellite images representing bottom of atmosphere surface reflectance and classified them within Google Earth Engine (GEE) using threshold values of the Green Normalized Difference Vegetation Index (gNDVI) and its inverse relationship to the Normalized Difference Water Index (NDWI). The classified image data represent the area covered by five distinct landcover types: open water; mixed shallow surface water, saturated soil, and vegetation; dense green vegetation; moist soil with sparse or small vegetation; dry soil with sparse upland vegetation. These data can be used to evaluate the areal extent of each of the landcover types classified in this study as well as changes in the areal extent of these landcover types between January 26, 2022 and November 27, 2023. Additionally, these data may be used as baseline conditions to evaluate future changes in the areal extent of landcover owing to land use changes or climatic fluctuations.
Vegetation Map of Boginderra Hills Nature Reserve VIS ID 848
공공데이터포털
Vegetation map digitised from Lembit, R. & Skelton, N. (1998).; ; The vegetation of Copperhania, Barton, Dapper & Boginderra Hills NRs, located in central-western NSW, is described and mapped at a scale of 1:50 000 based on field survey quadrats, aerial photo interpretation and multivariate analysis. 25 communities in total are described for the four reserves, eight in Copperhania NR, six in each of Barton and Dapper NRs and five in Boginderra Hills.; ; VIS_ID 848
Land cover classification data for wetland complexes at Dixie Meadows, Nevada from October 2015 to January 2022
공공데이터포털
These data were compiled to provide satellite remote sensing observations of landcover in the vicinity of wetlands fed by geothermal springs in Dixie Meadows, Nevada, USA. Objectives of the study were to map landcover of water, vegetation, and soil between October 5, 2015, and January 21, 2022, using available imagery from the Sentinel-2 mission. The U.S. Geological Survey's Southwest Biological Science Center (SBSC) and Grand Canyon Monitoring and Research Center (GCMRC) processed 110 Sentinel-2 satellite images representing bottom of atmosphere surface reflectance and classified them within Google Earth Engine (GEE) using threshold values of the Green Normalized Difference Vegetation Index (gNDVI) and its inverse relationship to the Normalized Difference Water Index (NDWI). The classified image data represent the area covered by five distinct landcover types: open water; mixed shallow surface water, saturated soil, and vegetation; dense green vegetation; moist soil with sparse or small vegetation; dry soil with sparse upland vegetation. These data can be used to evaluate the areal extent of each of the landcover types classified in this study as well as changes in the areal extent of these landcover types between October 5, 2015, and January 21, 2022. Additionally, these data may be used as baseline conditions to evaluate future changes in the areal extent of landcover owing to land use changes or climatic fluctuations.
Land cover classification data for wetland complexes at Dixie Meadows, Nevada from October 2015 to January 2022
공공데이터포털
These data were compiled to provide satellite remote sensing observations of landcover in the vicinity of wetlands fed by geothermal springs in Dixie Meadows, Nevada, USA. Objectives of the study were to map landcover of water, vegetation, and soil between October 5, 2015, and January 21, 2022, using available imagery from the Sentinel-2 mission. The U.S. Geological Survey's Southwest Biological Science Center (SBSC) and Grand Canyon Monitoring and Research Center (GCMRC) processed 110 Sentinel-2 satellite images representing bottom of atmosphere surface reflectance and classified them within Google Earth Engine (GEE) using threshold values of the Green Normalized Difference Vegetation Index (gNDVI) and its inverse relationship to the Normalized Difference Water Index (NDWI). The classified image data represent the area covered by five distinct landcover types: open water; mixed shallow surface water, saturated soil, and vegetation; dense green vegetation; moist soil with sparse or small vegetation; dry soil with sparse upland vegetation. These data can be used to evaluate the areal extent of each of the landcover types classified in this study as well as changes in the areal extent of these landcover types between October 5, 2015, and January 21, 2022. Additionally, these data may be used as baseline conditions to evaluate future changes in the areal extent of landcover owing to land use changes or climatic fluctuations.
Dowe CCA Zone 1 National Park Vegetation 2009 VIS ID 4888
공공데이터포털
Vegetation community mapping for Dowe Community Conservation Area (CCA) Zone 1 National Park by John Hunter, 2009. A Northern Tablelands NPWS Region contract. Mapped at 1:50,000 scale. Dowe NP is north east of Gunnedah immediately adjacent to the east of Lake Keepit. Five communities are defined based on classification (Kulczynski association). These five communities were mapped based on ground truthing, air photo interpretation and landform. The communities described and their status are: Floristic Community Area Reservation Status C1: White Cypress Pine – Silver-leaved Ironbark – White Box Woodland C2: White Box – White Cypress Pine Grassy Woodland C4: Yarran Shrubland A total of 170 vascular plant taxa were found from 51 families and 125 genera (22% exotic). No taxa of conservation significance were found during this or previous surveys. Reference: Hunter,J.T. (2009). Vegetation and Floristics of the Dowe National Park. A report to the NSW NPWS. VIS_ID 4888