Esse produto L4B da Global Ecosystem Dynamics Investigation (GEDI) fornece estimativas de 1 km x 1 km da densidade média de biomassa acima do solo (AGBD) com base em observações da semana 19 da missão, que começou em 18/04/2019, até a semana 138, que terminou em 04/08/2021. O produto GEDI L4A Footprint Biomass converte cada forma de onda de alta qualidade em uma previsão de AGBD, e o produto L4B usa a amostra presente dentro das bordas de cada célula de 1 km para inferir estatisticamente a AGBD média.
A missão GEDI (Global Ecosystem Dynamics Investigation, na sigla em inglês) tem como objetivo caracterizar a estrutura e a dinâmica dos ecossistemas para permitir uma quantificação e compreensão radicalmente aprimoradas do ciclo de carbono e da biodiversidade da Terra. O instrumento GEDI, conectado à Estação Espacial Internacional (ISS, na sigla em inglês), coleta dados globalmente entre as latitudes 51,6° N e 51,6° S na resolução mais alta e com a amostragem mais densa da estrutura tridimensional da Terra. O instrumento GEDI consiste em três lasers que produzem um total de oito transectos de feixe no solo, que amostram instantaneamente oito pegadas de ~25 m espaçadas aproximadamente a cada 60 m ao longo da trajetória.
Densidade média de biomassa acima do solo (MU): média estimada de AGBD para a célula de grade de 1 km, incluindo floresta e não floresta.
V1
metros
Componente de variância 1 (V1): incerteza na estimativa da biomassa média devido ao modelo de campo para GEDI usado no L4A.
V2
metros
Componente de variância 2 (V2)
Se "Modo de inferência" = 1, essa é a incerteza devido à amostragem da célula de 1 km do GEDI.
Se "Modo de inferência" = 2, essa é a incerteza devido ao modelo que prevê a biomassa usando dados de ponta a ponta, calibrados com o produto de pegada L4A.
SE
Mg/ha
metros
Erro padrão da densidade média da biomassa acima do solo (SE): erro padrão da estimativa da média, combinando incerteza de amostragem e modelagem.
PE
%
metros
Erro padrão como uma fração da média estimada de AGBD (PE).
Se for >100%, os valores da célula serão truncados para 100.
NC
metros
Número de clusters (NC): número de trajetórias terrestres únicas do GEDI com pelo menos uma forma de onda de alta qualidade que cruza a célula da grade.
NS
metros
Número de amostras (NS): número total de formas de onda de alta qualidade em todas as trajetórias reais na célula da grade.
QF
metros
Flag de qualidade (QF)
0=Fora do domínio do GEDI
1=Superfície terrestre
2=Superfície terrestre e atende ao requisito L1 da missão GEDI (erro padrão percentual <20% ou erro padrão < 20 Mg ha-1)
PS
metros
Estrato de previsão (PS) determinado pelo tipo funcional de planta e pelo continente. O PS está associado a uma matriz de covariância de parâmetros do modelo L4A que contribui para a variância do erro do modelo (Tabela 2).
MI
metros
Modo de interferência (MI): método usado para uma célula específica.
Até a conclusão da missão, apenas as células em que a inferência híbrida é possível serão preenchidas com um valor médio de biomassa.
Dubayah, R.O., J. Armston, S.P. Healey, Z. Yang, P.L. Patterson, S. Saarela,
G. Stahl, L. Duncanson e J.R. Kellner. 2022. GEDI L4B Gridded Aboveground
Biomass Density, Version 2. ORNL DAAC, Oak Ridge, Tennessee, EUA.
doi:10.3334/ORNLDAAC/2056
O produto L4B da Global Ecosystem Dynamics Investigation (GEDI) fornece estimativas de 1 km x 1 km da densidade média de biomassa acima do solo (AGBD, na sigla em inglês) com base em observações da semana 19 da missão, que começou em 18/04/2019, até a semana 138, que terminou em 04/08/2021. O produto GEDI L4A Footprint Biomass converte cada forma de onda de alta qualidade em um…
[null,null,[],[[["\u003cp\u003eThe LARSE/GEDI/GEDI04_B_002 dataset provides 1 km x 1 km estimates of mean aboveground biomass density (AGBD) from April 18, 2019, to August 4, 2021.\u003c/p\u003e\n"],["\u003cp\u003eThis GEDI L4B product uses high-quality waveforms to predict AGBD and infers mean AGBD within each 1 km grid cell.\u003c/p\u003e\n"],["\u003cp\u003eData is derived from the GEDI mission, which aims to characterize ecosystem structure and dynamics for better understanding of the Earth's carbon cycle and biodiversity.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes bands representing mean biomass, standard error, quality flags, and other relevant metrics for analysis.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset is in the public domain and available without restriction on use and distribution, according to NASA's Earth Science Data & Information Policy.\u003c/p\u003e\n"]]],[],null,["# GEDI L4B Gridded Aboveground Biomass Density (Version 2)\n\nDataset Availability\n: 2019-04-18T00:00:00Z--2021-08-04T00:00:00Z\n\nDataset Provider\n:\n\n\n [USFS Laboratory for Applications of Remote Sensing in Ecology (LARSE)](https://www.fs.usda.gov/)\n\n\n [NASA GEDI mission, accessed through the USGS LP DAAC](https://lpdaac.usgs.gov/products/gedi02_av002/)\n\nTags\n:\n[elevation](/earth-engine/datasets/tags/elevation) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) [gedi](/earth-engine/datasets/tags/gedi) [larse](/earth-engine/datasets/tags/larse) [nasa](/earth-engine/datasets/tags/nasa) [tree-cover](/earth-engine/datasets/tags/tree-cover) [usgs](/earth-engine/datasets/tags/usgs) \n\n#### Description\n\nThis Global Ecosystem Dynamics Investigation (GEDI) L4B product provides\n1 km x 1 km estimates of mean aboveground biomass density (AGBD) based on\nobservations from mission week 19 starting on 2019-04-18 to mission\nweek 138 ending on 2021-08-04. The GEDI L4A Footprint Biomass product\nconverts each high-quality waveform to an AGBD prediction, and the\nL4B product uses the sample present within the borders of each 1 km cell to\nstatistically infer mean AGBD.\n\nPlease see [User Guide](https://daac.ornl.gov/GEDI/guides/GEDI_L4B_Gridded_Biomass.html)\nfor more information.\n\nThe Global Ecosystem Dynamics Investigation [GEDI](https://gedi.umd.edu/)\nmission aims to characterize ecosystem structure and dynamics to enable\nradically improved quantification and understanding of the Earth's carbon cycle\nand biodiversity. The GEDI instrument, attached to the International Space\nStation (ISS), collects data globally between 51.6° N and 51.6° S\nlatitudes at the highest resolution and densest sampling of the\n3-dimensional structure of the Earth. The GEDI instrument consists of three\nlasers producing a total of eight beam ground transects, which instantaneously\nsample eight \\~25 m footprints spaced approximately every 60 m along-track.\n\n| Product | Description |\n|--------------------|---------------------------------------------------------------------------------------------------|\n| L2A Vector | [LARSE/GEDI/GEDI02_A_002](/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_A_002) |\n| L2A Monthly raster | [LARSE/GEDI/GEDI02_A_002_MONTHLY](/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_A_002_MONTHLY) |\n| L2A table index | [LARSE/GEDI/GEDI02_A_002_INDEX](/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_A_002_INDEX) |\n| L2B Vector | [LARSE/GEDI/GEDI02_B_002](/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_B_002) |\n| L2B Monthly raster | [LARSE/GEDI/GEDI02_B_002_MONTHLY](/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_B_002_MONTHLY) |\n| L2B table index | [LARSE/GEDI/GEDI02_B_002_INDEX](/earth-engine/datasets/catalog/LARSE_GEDI_GEDI02_B_002_INDEX) |\n| L4A Biomass Vector | [LARSE/GEDI/GEDI04_A_002](/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_A_002) |\n| L4A Monthly raster | [LARSE/GEDI/GEDI04_A_002_MONTHLY](/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_A_002_MONTHLY) |\n| L4A table index | [LARSE/GEDI/GEDI04_A_002_INDEX](/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_A_002_INDEX) |\n| L4B Biomass | [LARSE/GEDI/GEDI04_B_002](/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_B_002) |\n\n### Bands\n\n\n**Pixel Size**\n\n1000 meters\n\n**Bands**\n\n| Name | Units | Pixel Size | Description |\n|------|-------|------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `MU` | Mg/ha | meters | Mean aboveground biomass density (MU): Estimated mean AGBD for the 1 km grid cell, including forest and non-forest. |\n| `V1` | | meters | Variance component 1 (V1): Uncertainty in the estimate of mean biomass due to the field-to-GEDI model used in L4A. |\n| `V2` | | meters | Variance component 2 (V2) - If Mode of Inference = 1, this is the uncertainty due to GEDI's sampling of the 1 km cell. - If Mode of Inference = 2, this is uncertainty owing to the model predicting biomass using wall-to-wall data, calibrated with the L4A footprint product. |\n| `SE` | Mg/ha | meters | Mean aboveground biomass density standard error (SE): Standard Error of the mean estimate, combining sampling and modeling uncertainty. |\n| `PE` | % | meters | Standard error as a fraction of the estimated mean AGBD (PE). If \\\u003e100%, the cell values are truncated to 100. |\n| `NC` | | meters | Number of clusters (NC): Number of unique GEDI ground tracks with at least one high-quality waveform intersecting the grid cell. |\n| `NS` | | meters | Number of samples (NS): Total number of high-quality waveforms across all ground tracks within the grid cell. |\n| `QF` | | meters | Quality flag (QF) - 0=Outside the GEDI domain - 1=Land surface - 2=Land surface and meets GEDI mission L1 requirement (Percent standard error \\\u003c20% or Standard Error \\\u003c 20 Mg ha-1) |\n| `PS` | | meters | Prediction stratum (PS) determined by plant functional type and continent. PS is associated with an L4A model parameter covariance matrix that contributes to the Model Error Variance (Table 2). |\n| `MI` | | meters | Mode of interference (MI): Method used for a particular cell. Until mission completion, only those cells where hybrid inference is possible will be populated with a mean biomass value. - 0=None applied - 1=Hybrid Model-Based - 2=Generalized Hierarchical Model-Based |\n\n### Terms of Use\n\n**Terms of Use**\n\nThis dataset is in the public domain and is available\nwithout restriction on use and distribution. See [NASA's\nEarth Science Data \\& Information Policy](https://www.earthdata.nasa.gov/engage/open-data-services-and-software/data-and-information-policy)\nfor additional information.\n\n### Citations\n\nCitations:\n\n- Dubayah, R.O., J. Armston, S.P. Healey, Z. Yang, P.L. Patterson, S. Saarela,\n G. Stahl, L. Duncanson, and J.R. Kellner. 2022. GEDI L4B Gridded Aboveground\n Biomass Density, Version 2. ORNL DAAC, Oak Ridge, Tennessee, USA.\n [doi:10.3334/ORNLDAAC/2056](https://doi.org/10.3334/ORNLDAAC/2056)\n\n### DOIs\n\n- \u003chttps://doi.org/10.3334/ORNLDAAC/2056\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 l4b = ee.Image('LARSE/GEDI/GEDI04_B_002')\n\nMap.addLayer(\n l4b.select('MU'),\n {min: 10, max: 250, palette: '440154,414387,2a788e,23a884,7ad151,fde725'},\n 'Mean Biomass');\nMap.addLayer(\n l4b.select('SE'),\n {min: 10, max: 50, palette: '000004,3b0f6f,8c2981,dd4a69,fe9f6d,fcfdbf'},\n 'Standard Error');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/LARSE/LARSE_GEDI_GEDI04_B_002) \n[GEDI L4B Gridded Aboveground Biomass Density (Version 2)](/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_B_002) \nThis Global Ecosystem Dynamics Investigation (GEDI) L4B product provides 1 km x 1 km estimates of mean aboveground biomass density (AGBD) based on observations from mission week 19 starting on 2019-04-18 to mission week 138 ending on 2021-08-04. The GEDI L4A Footprint Biomass product converts each high-quality waveform to an ... \nLARSE/GEDI/GEDI04_B_002, elevation,forest-biomass,gedi,larse,nasa,tree-cover,usgs \n2019-04-18T00:00:00Z/2021-08-04T00:00:00Z \n-52 -180 52 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.3334/ORNLDAAC/2056](https://doi.org/https://www.fs.usda.gov/)\n- [https://doi.org/10.3334/ORNLDAAC/2056](https://doi.org/https://lpdaac.usgs.gov/products/gedi02_av002/)\n- [https://doi.org/10.3334/ORNLDAAC/2056](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/LARSE_GEDI_GEDI04_B_002)"]]
