Set data ini menggambarkan komponen risiko kebakaran hutan untuk semua lahan di Amerika Serikat yang: 1) mencakup seluruh lanskap (yaitu, dapat diukur di setiap piksel di seluruh lanskap); dan 2) merepresentasikan risiko in situ - risiko di lokasi tempat efek buruk terjadi pada lanskap.
Kumpulan data bahaya kebakaran hutan nasional yang berisi probabilitas kebakaran tahunan dan intensitas kebakaran, yang dibuat oleh USDA Forest Service, Rocky Mountain Research Station, dan Pyrologix LLC, membentuk dasar data Risiko Kebakaran Hutan terhadap Komunitas. Data bahan bakar vegetasi dan lahan liar dari LANDFIRE 2020 (versi 2.2.0) digunakan sebagai input ke dua sistem simulasi kebakaran geospasial yang berbeda tetapi terkait. Probabilitas kebakaran tahunan dihasilkan dengan simulator kebakaran geospasial USFS (FSim) pada ukuran sel yang relatif kasar, yaitu 270 meter (m). Data raster probabilitas kebakaran di-upsample ke resolusi 30 m asli dari data bahan bakar dan vegetasi LANDFIRE, untuk menurunkan data ke resolusi yang lebih halus dan lebih berguna untuk menilai bahaya dan risiko bagi masyarakat. Dalam proses peningkatan kualitas ini, penyedia juga menyebarkan nilai
probabilitas kebakaran yang dimodelkan ke area yang dibangun yang diwakili dalam data
bahan bakar LANDFIRE sebagai tidak mudah terbakar.
Raster probabilitas kebakaran merepresentasikan kondisi lanskap pada akhir tahun 2020. Karakteristik intensitas kebakaran dimodelkan pada resolusi 30 m menggunakan proses yang menjalankan serangkaian FlamMap yang komprehensif yang mencakup berbagai karakteristik terkait cuaca yang terjadi selama musim kebakaran, lalu mengintegrasikan serangkaian FlamMap tersebut ke dalam berbagai hasil berdasarkan kemungkinan terjadinya jenis cuaca tersebut. Sebelum pemodelan intensitas kebakaran, data LANDFIRE 2020 diperbarui untuk mencerminkan gangguan bahan bakar yang terjadi pada tahun 2021 dan 2022. Dengan demikian, set data intensitas kebakaran merepresentasikan kondisi lanskap per akhir tahun 2022.
Band
Ukuran Piksel 30 meter
Band
Nama
Unit
Min
Maks
Ukuran Piksel
Deskripsi
BP
0
0,14
meter
Probabilitas Kebakaran Tahunan.
CFL
ft
0
861,7
meter
Panjang Lidah Api Kondisional; panjang lidah api rata-rata untuk kebakaran yang menyebar ke arah penyebaran maksimum jika terjadi kebakaran. Rata-rata ukuran intensitas kebakaran hutan.
CRPS
0
100
meter
Risiko Bersyarat terhadap Struktur Potensial; potensi konsekuensi kebakaran terhadap rumah di lokasi tertentu, jika terjadi kebakaran di sana dan jika ada rumah di sana.
Exposure
0
1
meter
Pengukuran seberapa besar unit hunian akan terpapar kebakaran hutan. Nilai 1 adalah eksposur "langsung". Nilai antara 0 dan 1 menunjukkan paparan "tidak langsung", dengan nilai yang lebih tinggi menunjukkan kedekatan yang lebih tinggi dengan area yang terpapar langsung
FLEP4
0
1
meter
Probabilitas Terlampauinya Panjang Lidah Api - 1,2 m; probabilitas bersyarat bahwa panjang lidah api di suatu piksel akan melebihi 1,2 meter jika terjadi kebakaran; menunjukkan potensi intensitas kebakaran hutan sedang hingga tinggi.
FLEP8
0
1
meter
Probabilitas Panjang Api Melebihi 8 kaki; probabilitas bersyarat bahwa panjang api di suatu piksel akan melebihi 8 kaki jika terjadi kebakaran; menunjukkan potensi intensitas kebakaran hutan yang tinggi.
RPS
0
13.2
meter
Risiko terhadap Struktur Potensial; risiko relatif terhadap rumah jika ada di lokasi tersebut.
WHP
0
99.853
meter
Indeks Potensi Bahaya Kebakaran Hutan.
Persyaratan Penggunaan
Persyaratan Penggunaan
Publikasi data tersedia secara gratis untuk publik berdasarkan perjanjian penggunaan data kami yang menguraikan ketentuan penggunaan seperti redistribusi, kutipan, pemberitahuan, dan kewajiban distribusi.
Perjanjian Penggunaan Data - Akses Terbuka
secara implisit disetujui oleh siapa pun yang memperoleh data dari repositori ini.
Secara formal, kumpulan data yang dipublikasikan di Arsip dirilis berdasarkan struktur lisensi CC-BY Creative Commons. Hal ini memungkinkan penggunaan dan penggunaan kembali yang luas, sekaligus
mempertahankan ekspektasi kutipan publikasi data untuk mendokumentasikan
penggunaan tersebut dan mengapresiasi karya intelektual penulis.
Kutipan
Kutipan:
Scott, Joe H.; Dillon, Gregory K.; Jaffe, Melissa R.; Vogler, Kevin C.;
Olszewski, Julia H.; Callahan, Michael N.; Karau, Eva C.; Lazarz,
Mitchell T.; Short, Karen C.; Riley, Karin L.; Finney, Mark A.; Grenfell,
Isaac C. 2024. Risiko Kebakaran Hutan terhadap Komunitas: Set data spasial komponen risiko kebakaran hutan di seluruh lanskap untuk Amerika Serikat. Edisi ke-2.
Fort Collins, CO: Forest Service Research Data Archive.
doi:10.2737/RDS-2020-0016-2
Set data ini menggambarkan komponen risiko kebakaran hutan untuk semua lahan di Amerika Serikat yang: 1) mencakup seluruh lanskap (yaitu, dapat diukur di setiap piksel di seluruh lanskap); dan 2) merepresentasikan risiko in situ - risiko di lokasi terjadinya efek buruk pada lanskap. Set data bahaya kebakaran hutan nasional …
[null,null,[],[[["\u003cp\u003eThis dataset, provided by the USDA Forest Service Research Data Archive, offers a comprehensive view of wildfire risk components across all lands in the United States, spanning from 2020-12-31 to 2022-12-31.\u003c/p\u003e\n"],["\u003cp\u003eThe data includes annual burn probability and fire intensity metrics, with burn probability data upsampled to a 30m resolution and fire intensity data reflecting landscape conditions as of the end of 2022.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes multiple bands, including \u003ccode\u003eBP\u003c/code\u003e (Annual Burn Probability), \u003ccode\u003eCFL\u003c/code\u003e (Conditional Flame Length), \u003ccode\u003eCRPS\u003c/code\u003e (Conditional Risk to Potential Structures), and \u003ccode\u003eWHP\u003c/code\u003e (Wildfire Hazard Potential index), each offering specific insights into wildfire risk.\u003c/p\u003e\n"],["\u003cp\u003eThis data can be accessed via an Earth Engine snippet, and is freely available to the public under a data use agreement, which includes attribution and citation guidelines as a condition of use.\u003c/p\u003e\n"],["\u003cp\u003eThe data is used to depict risk that is landscape-wide and represents in situ risk, with more information on its generation and usage available through the provided USDA website and the data publication's DOI.\u003c/p\u003e\n"]]],[],null,["# Wildfire Risk to Communities v0\n\nDataset Availability\n: 2020-12-31T00:00:00Z--2022-12-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [USDA Forest Service Research Data Archive](https://www.fs.usda.gov/rds/archive/catalog/RDS-2020-0016-2)\n\nTags\n:\n[burn](/earth-engine/datasets/tags/burn) [fire](/earth-engine/datasets/tags/fire) [usda](/earth-engine/datasets/tags/usda) [wildfire](/earth-engine/datasets/tags/wildfire) \n\n#### Description\n\nThis dataset depicts components of wildfire risk for all lands in the United\nStates that: 1) are landscape-wide (i.e., measurable at every pixel across\nthe landscape); and 2) represent in situ risk - risk at the location where\nthe adverse effects take place on the landscape.\n\nNational wildfire hazard datasets of annual burn probability and fire\nintensity, generated by the USDA Forest Service, Rocky Mountain Researc\nStation and Pyrologix LLC, form the foundation of the Wildfire Risk to\nCommunities data. Vegetation and wildland fuels data from LANDFIRE 2020\n(version 2.2.0) were used as input to two different but related geospatial\nfire simulation systems. Annual burn probability was produced with the USFS\ngeospatial fire simulator (FSim) at a relatively coarse cell size of 270\nmeters (m). The burn probability raster data was upsampled to the native\n30 m resolution of the LANDFIRE fuel and vegetation data, to bring the data\ndown to a finer resolution more useful for assessing hazard and risk to\ncommunities. In this upsampling process, the provider also spread values of\nmodeled burn probability into developed areas represented in LANDFIRE fuels\ndata as non-burnable.\n\nBurn probability rasters represent landscape\nconditions as of the end of 2020. Fire intensity characteristics were\nmodeled at 30 m resolution using a process that performs a comprehensive\nset of FlamMap runs spanning the full range of weather-related\ncharacteristics that occur during a fire season and then integrates those\nruns into a variety of results based on the likelihood of those weather\ntypes occurring. Before the fire intensity modeling, the LANDFIRE 2020 data\nwere updated to reflect fuels disturbances occurring in 2021 and 2022. As\nsuch, the fire intensity datasets represent landscape conditions as of the\nend of 2022.\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|------------|-------|-----|--------|------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `BP` | | 0 | 0.14 | meters | Annual Burn Probability. |\n| `CFL` | ft | 0 | 861.7 | meters | Conditional Flame Length; mean flame length for fire burning in direction of maximum spread if a fire were to occur. Avg. measure of wildfire intensity. |\n| `CRPS` | | 0 | 100 | meters | Conditional Risk to Potential Structures; potential consequences of fire to a home at a given location, if a fire occurs there and if a home were located there. |\n| `Exposure` | | 0 | 1 | meters | Measure of how exposed a housing unit would be to wildfire. A value of 1 is \"direct\" exposure. Values between 0 and 1 represent \"indirect\" exposure, with higher values representing closer proximity to directly exposed areas |\n| `FLEP4` | | 0 | 1 | meters | Flame Length Exceedance Probability - 4 ft; conditional probability that flame length at a pixel will exceed 4 feet if a fire occurs; indicates the potential for moderate to high wildfire intensity. |\n| `FLEP8` | | 0 | 1 | meters | Farm Length Exceedance Probability - 8 ft; conditional probability that flame length at a pixel will exceed 8 feet if a fire occurs; indicates the potential for high wildfire intensity. |\n| `RPS` | | 0 | 13.2 | meters | Risk to Potential Structures; relative risk to a house if one existed at that location. |\n| `WHP` | | 0 | 99.853 | meters | Wildfire Hazard Potential index. |\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-4.0](https://spdx.org/licenses/CC-BY-4.0.html)\n\n### Citations\n\nCitations:\n\n- Scott, Joe H.; Dillon, Gregory K.; Jaffe, Melissa R.; Vogler, Kevin C.;\n Olszewski, Julia H.; Callahan, Michael N.; Karau, Eva C.; Lazarz,\n Mitchell T.; Short, Karen C.; Riley, Karin L.; Finney, Mark A.; Grenfell,\n Isaac C. 2024. Wildfire Risk to Communities: Spatial datasets of\n landscape-wide wildfire risk components for the United States. 2nd Edition.\n Fort Collins, CO: Forest Service Research Data Archive.\n [doi:10.2737/RDS-2020-0016-2](https://doi.org/10.2737/RDS-2020-0016-2)\n\n### DOIs\n\n- \u003chttps://doi.org/10.2737/RDS-2020-0016-2\u003e\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('USDA/WRC/v0').mosaic()\nvar cfl = dataset.select('CFL');\nvar vis = {min: 0, max: 30, palette: ['white', 'red']}\nMap.addLayer(cfl, vis, 'Conditional Flame Length');\nMap.setCenter(-101, 39, 4)\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/USDA/USDA_WRC_v0) \n[Wildfire Risk to Communities v0](/earth-engine/datasets/catalog/USDA_WRC_v0) \nThis dataset depicts components of wildfire risk for all lands in the United States that: 1) are landscape-wide (i.e., measurable at every pixel across the landscape); and 2) represent in situ risk - risk at the location where the adverse effects take place on the landscape. National wildfire hazard datasets ... \nUSDA/WRC/v0, burn,fire,usda,wildfire \n2020-12-31T00:00:00Z/2022-12-31T00:00:00Z \n-67.933 -180 63.904 18.854 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.2737/RDS-2020-0016-2](https://doi.org/https://www.fs.usda.gov/rds/archive/catalog/RDS-2020-0016-2)\n- [https://doi.org/10.2737/RDS-2020-0016-2](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/USDA_WRC_v0)"]]
