- added datasets

- added industrial lands
- added vulcan 4.0

Author: samapriya

community_datasets.json

@@ -23727,6 +23727,30 @@
     "thematic_group": "Global Land Use and Land Cover",
     "thumbnail": "https://gee-community-catalog.org/thumbnails/urban_projection.png"
   },
+  {
+    "title": "Industrial Land Maps across Global Cities",
+    "sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-INDUSTRIAL-LAND",
+    "type": "image_collection",
+    "id": "projects/sat-io/open-datasets/INDUSTRIAL_LAND",
+    "provider": "Yoo et al 2025, JC STEM Lab of Earth Observations, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University",
+    "tags": "Industrial Land, Land Use, Urban, Global Cities, Environmental Sustainability, Carbon Emissions, Urbanization, Urban Planning",
+    "license": "Creative Commons Attribution Non Commercial 4.0 International",
+    "docs": "https://gee-community-catalog.org/projects/industrial/",
+    "thematic_group": "Global Utilities, Assets and Amenities Layers",
+    "thumbnail": "https://gee-community-catalog.org/thumbnails/industrial.png"
+  },
+  {
+    "title": "Vulcan Fossil Fuel CO2 Emissions Dataset",
+    "sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/VULCAN-FFCO2",
+    "type": "image_collection",
+    "id": "projects/sat-io/open-datasets/NAU/VULCAN_FFCO2",
+    "provider": "Gurney et al 2025, Vulcan Project, Northern Arizona University",
+    "tags": "Fossil Fuel Emissions, Carbon Dioxide, Climate Change, Atmospheric Carbon, Power Plants, Transportation, Buildings, Industrial Emissions, Bottom-up Inventory, Greenhouse Gas, Energy, Urban Emissions, Carbon Cycle",
+    "license": "Creative Commons Attribution 4.0 International",
+    "docs": "https://gee-community-catalog.org/projects/vulcan/",
+    "thematic_group": "Global Utilities, Assets and Amenities Layers",
+    "thumbnail": "https://gee-community-catalog.org/thumbnails/vulcan.png"
+  },
   {
     "title": "PRISM Climate Dataset (800m Resolution) Monthly",
     "sample_code": "https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:weather-climate/PRISM-800M-MONTHLY",

docs/images/industrial.png

@@ -0,0 +1,59 @@
+# Industrial Land Maps across Global Cities
+
+This dataset provides high-resolution (10-meter) industrial land use maps for 1,093 large cities (area 100km² or more) across the globe, covering a seven-year period from 2017 to 2023. Developed by researchers from the JC STEM Lab of Earth Observations at the Hong Kong Polytechnic University, these maps were created by integrating multisource geospatial data, including Sentinel-2 reflectance data, nighttime light data, and OpenStreetMap information, processed through machine learning algorithms. The dataset achieves high overall accuracy (91.87% to 92.21%) across all years, making it a valuable resource for tracking industrial land use changes and assessing their environmental impacts.
+
+#### Dataset Details
+
+| Characteristic  | Description                                                        |
+|-----------------|-------------------------------------------------------------------|
+| Name            | Global 10-m Industrial Land Maps                                   |
+| Provider        | Hong Kong Polytechnic University                                   |
+| Resolution      | 10 meters                                                          |
+| Coverage        | 1,093 global cities (≥100 km²)                                     |
+| Temporal Range  | 2017-2023 (annual)                                                 |
+| Classes         | Industrial land, Non-industrial land, Non-built-up areas           |
+| Format          | GeoTIFF                                                            |
+| Accuracy        | Overall accuracy: 91.87-92.21%                                     |
+| License         | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0       |
+
+#### Notes
+
+!!! info
+
+    - Maps provide detailed industrial land information for 1,093 large cities globally, with 531 in Asia, 174 in Europe, 165 in North America, 113 in South America, 99 in Africa, and 11 in Oceania
+    - The dataset correlates strongly (r=0.72) with per capita CO₂ emissions, demonstrating its value for environmental and sustainability studies
+    - Classification distinguishes between three classes: industrial land in built-up areas, non-industrial land in built-up areas, and non-built-up areas
+    - Each city map includes a 1.5 km buffer around standardized rectangular boundaries to provide flexibility for users
+
+#### Citation
+
+```
+Yoo, C., Zhou, Y., & Weng, Q. (2025). Mapping 10-m Industrial Lands across 1000+ Global Large Cities, 2017–2023.
+Scientific Data, 12(278). https://doi.org/10.1038/s41597-025-04604-w
+
+Yoo, C., Zhou, Y., & Weng, Q. (2025). Dataset of 'Mapping 10-m Industrial Lands across 1000+ Global Large Cities,
+2017-2023'. Zenodo. https://doi.org/10.5281/zenodo.14832219
+```
+
+![industrial_lands](../images/industrial.png)
+
+#### Earth Engine Snippet
+
+```javascript
+// Import the industrial land collection
+var industrialLand = ee.ImageCollection("projects/sat-io/open-datasets/INDUSTRIAL_LAND");
+```
+
+Sample Code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/GLOBAL-INDUSTRIAL-LAND
+
+#### Keywords
+Industrial Land, Land Use, Urban, Global Cities, Environmental Sustainability, Carbon Emissions, Urbanization, Urban Planning, Earth Observation, Remote Sensing
+
+#### License
+The dataset is distributed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
+
+Produced by: Yoo et al 2025, JC STEM Lab of Earth Observations, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University
+
+Curated in GEE by: Samapriya Roy
+
+Last updated on GEE: 2025-05-01

docs/images/vulcan.png

@@ -0,0 +1,120 @@
+# Vulcan Fossil Fuel CO2 Emissions Dataset
+
+This dataset provides high-resolution (1-kilometer) annual fossil fuel carbon dioxide (FFCO2) emissions estimates for the United States, covering a thirteen-year period from
+2010 to 2022. Developed by researchers at Northern Arizona University's Vulcan Project, these maps were created using a comprehensive bottom-up approach that integrates multiple
+data sources including EPA emissions reporting, traffic monitoring, power plant databases, and building energy surveys. The dataset provides sector-specific emissions data with
+unprecedented spatial and temporal detail, making it an essential resource for climate research, policy development, and atmospheric carbon cycle studies.
+
+#### Dataset Details
+
+| Characteristic  | Description                                                        |
+|-----------------|-------------------------------------------------------------------|
+| Name            | Vulcan v4.0 Fossil Fuel CO2 Emissions                             |
+| Provider        | Northern Arizona University                                        |
+| Resolution      | 1 kilometer                                                        |
+| Coverage        | United States (Continental US and Alaska)                         |
+| Temporal Range  | 2010-2022 (annual)                                                |
+| Sectors         | 11 emission sectors (see below)                                   |
+| Projection      | Lambert Conformal Conic                                           |
+| Units           | Metric tons of carbon per year (tC/year)                          |
+| Uncertainty     | 95% confidence interval: ±8% (one-sigma ~±4%)                     |
+
+#### Emission Sectors
+
+The dataset includes emissions from the following sectors:
+
+| Sector Code | Sector Name | Description |
+|-------------|-------------|-------------|
+| **air** | Aircraft | Emissions from aircraft taxi and takeoff/landing sequences |
+| **cmt** | Cement Production | Process-derived CO2 from limestone conversion during clinker production |
+| **cmv** | Commercial Marine Vessel | Emissions from commercial vessels within 12 nautical miles of US shoreline |
+| **com** | Commercial | Emissions from commercial buildings and dispersed stationary sources |
+| **elc** | Electricity Production | Emissions from power plants monitored under CAMD and EIA reporting systems |
+| **ind** | Industrial | Emissions from industrial point sources with identifiable emission stacks |
+| **nrd** | Nonroad | Emissions from off-road mobile sources (construction, agricultural equipment) |
+| **onr** | Onroad | Emissions from road vehicles distributed to segments using traffic data |
+| **res** | Residential | Emissions from residential buildings representing dispersed area sources |
+| **rrd** | Railroad | Emissions from both rail yard point sources and along rail line segments |
+| **tot** | Total | Sum of all fossil fuel CO2 emissions sectors combined |
+
+#### Image Properties
+
+Each image in the collection contains the following properties:
+
+- `vulcan_version`: Dataset version (4.0)
+- `sector`: Emission sector code (air, cmt, cmv, com, elc, ind, nrd, onr, res, rrd, tot)
+- `sector_name`: Full sector name (e.g., "Electricity Production")
+- `sector_description`: Detailed description of sector emissions
+- `domain`: Geographic domain (usa for Continental US, ak for Alaska)
+- `year`: Calendar year (2010-2022)
+- `resolution`: Spatial resolution (1km)
+- `projection`: Map projection (lcc for Lambert Conformal Conic)
+- `estimate_type`: Uncertainty estimate type (mn for mean)
+- `units`: Emission units (tC_per_year)
+- `dataset`: Dataset identifier (VULCAN_FFCO2)
+- `source`: Data provider (NAU)
+
+#### Notes
+
+!!! info
+
+    - The dataset uses a bottom-up methodology combining EPA National Emissions Inventory data, power plant monitoring, traffic counts, and building energy surveys
+    - Emissions are quantified at native resolution (points, lines, polygons) then gridded to 1km × 1km for analysis
+    - Data represents "Scope 1" or in-boundary emissions reflecting physical CO2 release from stated geography
+    - Includes emissions extending 12 nautical miles from US coastal boundary and up to 3,000 ft for aircraft operations
+    - No-data values are represented as 0 in the dataset
+    - Each image contains annual emission totals with temporal distribution based on sector-specific patterns
+
+#### Methodology
+
+The Vulcan approach employs multiple data sources:
+
+- **EPA National Emissions Inventory (NEI)**: CO emissions reporting converted to CO2 using emission factors
+- **Clean Air Markets Division (CAMD)**: Hourly power plant monitoring data
+- **Energy Information Administration (EIA)**: Monthly power plant fuel consumption
+- **Federal Highway Administration**: Traffic count data for road emission distribution
+- **Building surveys**: DOE energy consumption surveys for residential/commercial sectors
+- **Facility databases**: Portland Cement Association and USGS data for cement production
+
+#### Citation
+
+```
+Gurney, K.R., P. Dass, A. Kato, L. Gawuc, B. Aslam, H. Sun (2025) Vulcan version 4.0 high-resolution
+annual estimates of fossil fuel and cement production carbon dioxide emissions in the United States
+for the 2010-2022 time period, under review at Scientific Data.
+
+Gurney, K.R., J. Liang, R. Patarasuk, Y. Song, J. Huang, G. Roest (2020) The Vulcan Version 3.0 High-
+Resolution Fossil Fuel CO2 Emissions for the United States. Journal of Geophysical Research:
+Atmospheres, 125, 19, e2020JD032974. https://doi.org/10.1029/2020JD032974.
+```
+
+![vulcan_emissions](../images/vulcan.png)
+
+#### Earth Engine Snippet
+
+```javascript
+var vulcan = ee.ImageCollection("projects/sat-io/open-datasets/NAU/VULCAN_FFCO2");
+```
+
+Sample Code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/VULCAN-FFCO2
+
+Sample App: https://sat-io.earthengine.app/view/vulcan
+
+
+#### Keywords
+
+Fossil Fuel Emissions, Carbon Dioxide, Climate Change, Atmospheric Carbon, Power Plants, Transportation, Buildings, Industrial Emissions, Bottom-up Inventory, Greenhouse Gas, Energy, Urban Emissions, Carbon Cycle
+
+#### License
+
+The Vulcan v4.0 data product is made possible through support from the National Oceanic and Atmospheric Administration, grants NA19OAR4310167 and NA20OAR4310297. The dataset is distributed under Creative Commons Attribution 4.0 International (CC-BY 4.0).
+
+#### Acknowledgement
+
+When using this dataset, please include the following acknowledgement: "The Vulcan v4.0 data product was made possible through support from the National Oceanic and Atmospheric Administration, grants NA19OAR4310167 and NA20OAR4310297."
+
+Produced by: Vulcan Project, Northern Arizona University
+
+Curated in GEE by: Samapriya Roy
+
+Last updated on GEE: 2025-06-25

docs/projects/industrial.md

@@ -390,6 +390,8 @@ nav:
               - Climate Trace Global Emissions Data: projects/climate_trace.md
               - Oil and Gas Infrastructure Mapping (OGIM) database: projects/ogim.md
               - Carbon Offset Project Boundaries: projects/carbon_projects.md
+              - Industrial Land Maps across Global Cities: projects/industrial.md
+              - Vulcan Fossil Fuel CO2 Emissions Dataset: projects/vulcan.md
               - Global NPP-VIIRS-like nighttime light (2000-2023): projects/npp_viirs_ntl.md
               - Global Annual Simulated NPP-VIIRS Nighttime Light Dataset (1992-2023): projects/srunet_npp_viirs_ntl.md
               - GAN based Synthetic VIIRS (NTL) India: projects/syn_ntl.md