Set data ini merepresentasikan penyimpanan karbon terestrial di atas dan di bawah tanah (ton (t) C per hektar (ha)) untuk sekitar tahun 2010.
Set data ini dibuat dengan menggabungkan set data yang paling andal yang tersedia untuk umum dan menempatkannya di atas peta tutupan lahan ESA CCI untuk tahun 2010 (ESA, 2017), dengan menetapkan nilai biomassa di atas permukaan yang sesuai dari peta biomassa ke setiap sel petak yang paling sesuai dengan jenis tutupan lahan sel petak tersebut.
Set data karbon input diidentifikasi melalui kajian pustaka set data yang ada tentang karbon biomassa dalam ekosistem terestrial yang dipublikasikan dalam literatur yang telah di-review oleh rekan sejawat.
Untuk menentukan set data mana yang akan digabungkan untuk menghasilkan peta kepadatan karbon global, set data yang diidentifikasi dievaluasi berdasarkan resolusi, akurasi, definisi biomassa, dan tanggal referensi (lihat Tabel 1 dalam makalah yang dikutip untuk mengetahui informasi lebih lanjut tentang set data yang dipilih).
Setelah menggabungkan setiap set data yang dipilih ke skala nominal resolusi 300 m, kategori hutan dalam set data tutupan lahan CCI ESA 2010 digunakan untuk mengekstrak biomassa di atas permukaan tanah dari Santoro et al. 2018 untuk area hutan.
Biomassa hutan dan sabana kemudian dimasukkan untuk Afrika dari Bouvet et al. 2018, dan dari Santoro et al. 2018 untuk area di luar Afrika dan di luar hutan.
Biomassa dari kelas tutupan lahan padang rumput, vegetasi jarang, dan lahan pertanian dari CCI ESA, selain area semak di luar Afrika yang tidak ada dalam Santoro et al. 2018, diekstrak dari Xia et al. 2014 dan Spawn et al. 2017 yang dirata-ratakan menurut zona ekologis untuk setiap jenis tutupan lahan.
Biomassa bawah tanah ditambahkan menggunakan rasio akar ke batang dari panduan IPCC 2006 untuk Inventaris Gas Rumah Kaca Nasional (IPCC, 2006). Tidak ada nilai bawah permukaan yang ditetapkan ke lahan pertanian karena rasio tidak tersedia. Biomassa di atas dan di bawah tanah kemudian dijumlahkan dan dikalikan dengan 0,5 untuk dikonversi menjadi karbon, sehingga menghasilkan satu lapisan karbon biomassa di atas dan di bawah tanah.
Set data ini belum divalidasi.
Referensi:
Bouvet, A. et al. 2018. Peta biomassa di atas permukaan tanah sabana dan hutan di Afrika dengan resolusi 25 m yang berasal dari ALOS PALSAR. Remote Sensing of the Environment 206, 156-173.
IPCC (2006) 2006 IPCC guidelines for national greenhouse gas inventories (eds HS Eggleston, L Buendia, K Miwa, T Ngara, K Tanabe.) Kanagawa, Jepang: IGES.
Santoro, M. et al. (2018). Potret mendetail kumpulan biomassa di atas permukaan tanah hutan untuk tahun 2010 yang diperoleh dari beberapa pengamatan penginderaan jauh. Geophysical Research Abstracts 20, EGU2018-EG18932.
Spawn SA et al. (2017) New global biomass map for the year 2010. New Orleans, LA: American Geophysical Union.
Xia, J. et al. (2014) Spatio-temporal patterns and climate variables controlling of biomass carbon stock of global grassland ecosystems from 1982 to 2006. Remote Sensing 6, 1783-1802.
Catatan penyedia: Set data biomassa karbon dari World Conservation Monitoring Centre (WCMC) Program Lingkungan PBB (UNEP) menggambarkan kondisi antara tahun 1982 dan 2010, bergantung pada jenis penutupan lahan. Pola relatif stok karbon terwakili dengan baik dalam set data ini. Set data biomassa karbon NASA/ORNL
mewakili kondisi biomassa untuk tahun 2010, dengan estimasi ketidakpastian di tingkat piksel.
Biomassa tambahan dari jenis tutupan lahan non-dominan ditampilkan dalam setiap piksel. Untuk mengetahui informasi lebih lanjut, lihat makalah yang menjelaskan setiap set data: WCMC (Soto-Navarro et al. 2020) dan NASA/ORNL(Spawn et al. 2020).
Band
Band
Nama
Min
Maks
Ukuran Piksel
Deskripsi
carbon_tonnes_per_ha
0
445,5
300 meter
Ton karbon biomassa di atas dan di bawah tanah per hektar
Persyaratan Penggunaan
Persyaratan Penggunaan
Data ini tunduk pada Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).
Detail dapat ditemukan di sini.
Kutipan
Kutipan:
Soto-Navarro C., Ravilious C., Arnell A., de Lamo X., Harfoot M., Hill S. L. L.,
Wearn O. R., Santoro M., Bouvet A., Mermoz S., Le Toan T., Xia J., Liu S.,
Yuan W., Spawn S. A., Gibbs H. K., Ferrier S., Harwood T., Alkemade R.,
Schipper A. M., Schmidt-Traub G., Strassburg B., Miles L., Burgess N. D.
dan Kapos V. (2020) Mapping co-benefits for carbon storage and biodiversity to
inform conservation policy and action. Philosophical Transactions of the Royal
Society B. 375 Link
Set data ini merepresentasikan penyimpanan karbon terestrial di atas dan di bawah tanah (ton (t) C per hektar (ha)) untuk sekitar tahun 2010. Set data ini dibuat dengan menggabungkan set data yang paling andal yang tersedia untuk umum dan menimpanya dengan peta tutupan lahan ESA CCI untuk tahun 2010 (ESA, 2017), yang menetapkan setiap petak …
[null,null,[],[[["\u003cp\u003eThis dataset provides a global estimate of above- and below-ground terrestrial carbon storage for the year 2010, measured in tonnes of carbon per hectare.\u003c/p\u003e\n"],["\u003cp\u003eIt was created by combining various biomass datasets and assigning values based on the ESA CCI landcover map for 2010.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes one band: \u003ccode\u003ecarbon_tonnes_per_ha\u003c/code\u003e, representing the estimated carbon density.\u003c/p\u003e\n"],["\u003cp\u003eIt is available under the Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license and provided by UNEP-WCMC.\u003c/p\u003e\n"],["\u003cp\u003eWhile the dataset represents carbon storage circa 2010, the underlying data sources range from 1982 to 2010 depending on land cover type.\u003c/p\u003e\n"]]],["This dataset provides above- and below-ground terrestrial carbon storage data (tonnes of C/ha) for circa 2010, compiled by UNEP-WCMC. It combines datasets from literature reviews, overlaid with the 2010 ESA CCI landcover map. Data sources include Santoro et al. (2018) for forests, Bouvet et al. (2018) for African woodlands/savannas, and Xia et al. (2014) and Spawn et al. (2017) for other landcover. Below-ground biomass, using IPCC ratios, is included, except for croplands. The dataset, unvalidated, is accessible via Google Earth Engine.\n"],null,["# WCMC Above and Below Ground Biomass Carbon Density\n\nDataset Availability\n: 2010-01-01T00:00:00Z--2010-12-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [UNEP-WCMC (UN Environment Programme World Conservation Monitoring Centre)](https://doi.org/10.34892/rh7v-hg80)\n\nTags\n:\n [biomass](/earth-engine/datasets/tags/biomass) [carbon](/earth-engine/datasets/tags/carbon) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) [wcmc](/earth-engine/datasets/tags/wcmc) \nunep \n\n#### Description\n\nThis dataset represents above- and below-ground terrestrial carbon storage (tonnes (t) of C per hectare (ha)) for circa 2010.\nThe dataset was constructed by combining the most reliable publicly available datasets and overlaying them with the ESA CCI landcover map for the year 2010 (ESA, 2017), assigning to each grid cell the corresponding above-ground biomass value from the biomass map that was most appropriate for the grid cell's landcover type.\nInput carbon datasets were identified through a literature review of existing datasets on biomass carbon in terrestrial ecosystems published in peer-reviewed literature.\nTo determine which datasets to combine to produce the global carbon density map, identified datasets were evaluated based on resolution, accuracy, biomass definition and reference date (see Table 1 in paper cited for further information on datasets selected).\nAfter aggregating each selected dataset to a nominal scale of 300 m resolution, forest categories in the CCI ESA 2010 landcover dataset were used to extract above-ground biomass from Santoro et al. 2018 for forest areas.\nWoodland and savanna biomass were then incorporated for Africa from Bouvet et al. 2018., and from Santoro et al. 2018 for areas outside of Africa and outside of forest.\nBiomass from croplands, sparse vegetation and grassland landcover classes from CCI ESA, in addition to shrubland areas outside Africa missing from Santoro et al. 2018, were extracted from were extracted from Xia et al. 2014. and Spawn et al. 2017 averaged by ecological zone for each landcover type.\nBelow-ground biomass were added using root-to-shoot ratios from the 2006 IPCC guidelines for National Greenhouse Gas Inventories (IPCC, 2006). No below-ground values were assigned to croplands as ratios were unavailable. Above-and-below-ground biomass were then summed together and multiplied by 0.5 to convert to carbon, generating a single above-and-below-ground biomass carbon layer.\nThis dataset has not been validated.\n\nReferences:\n\n- Bouvet, A. et al. 2018. An above-ground biomass map of African savannahs and woodlands at 25 m resolution derived from ALOS PALSAR. Remote Sensing of the Environment 206, 156-173.\n- ESA (2017) [Land Cover CCI Product User Guide Version 2. Tech. Rep.](https://maps.elie.ucl.ac.be/CCI/viewer/download/ESACCI-LC-Ph2-PUGv2_2.0.pdf).\n- IPCC (2006) 2006 IPCC guidelines for national greenhouse gas inventories (eds HS Eggleston, L Buendia, K Miwa, T Ngara, K Tanabe.) Kanagawa, Japan: IGES.\n- Santoro, M. et al. (2018). A detailed portrait of the forest aboveground biomass pool for the year 2010 obtained from multiple remote sensing observations. Geophysical Research Abstracts 20, EGU2018-EG18932.\n- Spawn SA et al. (2017) New global biomass map for the year 2010. New Orleans, LA: American Geophysical Union.\n- Xia, J. et al. (2014) Spatio-temporal patterns and climate variables controlling of biomass carbon stock of global grassland ecosystems from 1982 to 2006. Remote Sensing 6, 1783-1802.\n\nProvider's note: The UN Environment Programme World Conservation Monitoring\nCentre (UNEP-WCMC) carbon biomass dataset\nrepresents conditions between 1982 and 2010 depending on land cover type. The relative patterns\nof carbon stocks are well represented with this dataset. The [NASA/ORNL carbon biomass dataset](https://daac.ornl.gov/VEGETATION/guides/Global_Maps_C_Density_2010.html)\nrepresents biomass conditions for 2010, with uncertainty estimates at the pixel-level.\nAdditional biomass of non-dominant land cover types are represented within each pixel. For more\ndetailed information, please refer to the papers describing each dataset: WCMC\n[(Soto-Navarro et al. 2020)](https://royalsocietypublishing.org/doi/full/10.1098/rstb.2019.0128)\nand [NASA/ORNL](/earth-engine/datasets/catalog/NASA_ORNL_biomass_carbon_density_v1) [(Spawn et al. 2020)](https://www.nature.com/articles/s41597-020-0444-4).\n\n### Bands\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|------------------------|-----|-------|------------|-------------------------------------------------------------|\n| `carbon_tonnes_per_ha` | 0 | 445.5 | 300 meters | Tonnes of above and below ground biomass carbon per hectare |\n\n### Terms of Use\n\n**Terms of Use**\n\nThese data are subject to Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).\nDetails can be found [here.](https://creativecommons.org/licenses/by-sa/4.0/)\n\n### Citations\n\nCitations:\n\n- Soto-Navarro C., Ravilious C., Arnell A., de Lamo X., Harfoot M., Hill S. L. L.,\n Wearn O. R., Santoro M., Bouvet A., Mermoz S., Le Toan T., Xia J., Liu S.,\n Yuan W., Spawn S. A., Gibbs H. K., Ferrier S., Harwood T., Alkemade R.,\n Schipper A. M., Schmidt-Traub G., Strassburg B., Miles L., Burgess N. D.\n and Kapos V. (2020) Mapping co-benefits for carbon storage and biodiversity to\n inform conservation policy and action. Philosophical Transactions of the Royal\n Society B. 375 [Link](https://doi.org/10.1098/rstb.2019.0128)\n\n### DOIs\n\n- \u003chttps://doi.org/10.34892/rh7v-hg80\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 image = ee.Image('WCMC/biomass_carbon_density/v1_0/2010');\n\nMap.addLayer(ee.Image(1), {min: 0, max: 1}, 'base_map');\nMap.addLayer(\n image, {\n min: 1,\n max: 180,\n palette: ['d9f0a3', 'addd8e', '78c679', '41ab5d', '238443', '005a32']\n },\n 'carbon_tonnes_per_ha');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/WCMC/WCMC_biomass_carbon_density_v1_0) \n[WCMC Above and Below Ground Biomass Carbon Density](/earth-engine/datasets/catalog/WCMC_biomass_carbon_density_v1_0) \nThis dataset represents above- and below-ground terrestrial carbon storage (tonnes (t) of C per hectare (ha)) for circa 2010. The dataset was constructed by combining the most reliable publicly available datasets and overlaying them with the ESA CCI landcover map for the year 2010 (ESA, 2017), assigning to each grid ... \nWCMC/biomass_carbon_density/v1_0, biomass,carbon,forest-biomass,wcmc \n2010-01-01T00:00:00Z/2010-12-31T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.34892/rh7v-hg80](https://doi.org/https://doi.org/10.34892/rh7v-hg80)\n- [https://doi.org/10.34892/rh7v-hg80](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/WCMC_biomass_carbon_density_v1_0)"]]
