El mapa global de bosque/no bosque (FNF) se genera clasificando la imagen SAR (coeficiente de retrodispersión) en el mosaico SAR global de PALSAR-2/PALSAR con una resolución de 25 m, de modo que los píxeles de retrodispersión alta y baja se asignen como "bosque" y "no bosque", respectivamente. Aquí, "bosque" se define como el bosque natural con una superficie superior a 0.5 ha y una cubierta forestal superior al 10%. Esta definición es la misma que la de la Organización de las Naciones Unidas para la Alimentación y la Agricultura (FAO). Dado que la retrodispersión del radar del bosque depende de la región (zona climática), la clasificación de bosque/no bosque se realiza con un umbral de retrodispersión que depende de la región. La precisión de la clasificación se verifica con fotos in situ y con imágenes satelitales ópticas de alta resolución.
Los valores de dispersión pueden variar significativamente de una ruta a otra en las áreas forestales de latitudes altas. Esto se debe al cambio en la intensidad de la retrodispersión causada por los árboles congelados en invierno.
Ten en cuenta que esto puede afectar la clasificación de bosque/no bosque.
Bandas
Tamaño de píxel 25 metros
Bandas
Nombre
Mín.
Máx.
Tamaño de los píxeles
Descripción
fnf
1
4
metros
Clasificación de la cobertura terrestre en forestal y no forestal
Tabla de clases de FNF
Valor
Color
Descripción
1
#00b200
Bosque frondoso
2
#83ef62
Bosque no denso
3
#ffff99
No bosque
4
#0000ff
Agua
Condiciones de Uso
Condiciones de Uso
JAXA conserva la propiedad del conjunto de datos y no puede garantizar ningún problema causado o posiblemente causado por el uso de los conjuntos de datos.
Cualquier persona que desee publicar resultados con los conjuntos de datos debe reconocer claramente la propiedad de los datos en la publicación.
Citas
Citas:
Masanobu Shimada, Takuya Itoh, Takeshi Motooka, Manabu Watanabe, Shiraishi Tomohiro, Rajesh Thapa y Richard Lucas, "New Global Forest/Non-forest Maps from ALOS PALSAR Data (2007-2010)", Remote Sensing of Environment, 155, págs. 13-31, diciembre de 2014. doi:10.1016/j.rse.2014.04.014.
El mapa global de bosque/no bosque (FNF) se genera clasificando la imagen SAR (coeficiente de retrodispersión) en el mosaico SAR global de PALSAR-2/PALSAR con una resolución de 25 m, de modo que los píxeles de retrodispersión alta y baja se asignen como "bosque" y "no bosque", respectivamente. Aquí, "bosque" se define como el bosque natural con un área superior a 0.5…
[null,null,[],[[["\u003cp\u003eThe JAXA/ALOS/PALSAR/YEARLY/FNF4 dataset provides a global forest/non-forest map at 25-meter resolution, classifying areas as Dense Forest, Non-dense Forest, Non-Forest, and Water.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset utilizes PALSAR-2/PALSAR SAR mosaic data from 2017 to 2021, applying a region-dependent threshold of backscatter to classify forest and non-forest areas.\u003c/p\u003e\n"],["\u003cp\u003eThe classification aligns with the Food and Agriculture Organization (FAO) definition of forest as natural forest with an area larger than 0.5 ha and forest cover over 10%.\u003c/p\u003e\n"],["\u003cp\u003eUsers should be aware that backscatter values can vary significantly over high latitude forest areas due to seasonal changes, potentially impacting classification accuracy.\u003c/p\u003e\n"],["\u003cp\u003eJAXA retains ownership of the dataset and encourages users to acknowledge the data source in any publications resulting from its use.\u003c/p\u003e\n"]]],[],null,["# Global 4-class PALSAR-2/PALSAR Forest/Non-Forest Map\n\nDataset Availability\n: 2017-01-01T00:00:00Z--2021-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [JAXA EORC](https://www.eorc.jaxa.jp/ALOS/en/dataset/fnf_e.htm)\n\nTags\n:\n[alos](/earth-engine/datasets/tags/alos) [alos2](/earth-engine/datasets/tags/alos2) [classification](/earth-engine/datasets/tags/classification) [eroc](/earth-engine/datasets/tags/eroc) [forest](/earth-engine/datasets/tags/forest) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) [jaxa](/earth-engine/datasets/tags/jaxa) [landcover](/earth-engine/datasets/tags/landcover) [palsar](/earth-engine/datasets/tags/palsar) [palsar2](/earth-engine/datasets/tags/palsar2) [sar](/earth-engine/datasets/tags/sar) \n\n#### Description\n\nThe global forest/non-forest map (FNF) is generated by\nclassifying the SAR image (backscattering coefficient) in the\nglobal 25m resolution PALSAR-2/PALSAR SAR mosaic so that strong and\nlow backscatter pixels are assigned as \"forest\" and \"non-forest\",\nrespectively. Here, \"forest\" is defined as the natural forest\nwith the area larger than 0.5 ha and forest cover over 10%. This\ndefinition is the same as the Food and Agriculture Organization\n(FAO) definition. Since the radar backscatter from the forest\ndepends on the region (climate zone), the classification of\nForest/Non-Forest is conducted by using a region-dependent\nthreshold of backscatter. The classification accuracy is\nchecked by using in-situ photos and high-resolution optical\nsatellite images.\n\nDetailed information:\n\n- [2017 - 2020](https://www.eorc.jaxa.jp/ALOS/en/dataset/pdf/DatasetDescription_PALSAR2_FNF_v200a.pdf)\n\nAttention:\n\n- Backscatter values may vary significantly from path to path over high latitude forest areas. This is due to the change of backscattering intensity caused by freezing trees in winter. Please note that this may affect the classification of forest/non-forest.\n\n### Bands\n\n\n**Pixel Size**\n\n25 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|-------|-----|-----|------------|--------------------------------------------|\n| `fnf` | 1 | 4 | meters | Forest/Non-Forest landcover classification |\n\n**fnf Class Table**\n\n| Value | Color | Description |\n|-------|---------|------------------|\n| 1 | #00b200 | Dense Forest |\n| 2 | #83ef62 | Non-dense Forest |\n| 3 | #ffff99 | Non-Forest |\n| 4 | #0000ff | Water |\n\n### Terms of Use\n\n**Terms of Use**\n\nJAXA retains ownership of the dataset and cannot guarantee\nany problem caused by or possibly caused by using the datasets.\nAnyone wishing to publish any results using the datasets should\nclearly acknowledge the ownership of the data in the publication.\n\n### Citations\n\nCitations:\n\n- Masanobu Shimada, Takuya Itoh, Takeshi Motooka, Manabu Watanabe,\n Shiraishi Tomohiro, Rajesh Thapa, and Richard Lucas, \"New Global\n Forest/Non-forest Maps from ALOS PALSAR Data (2007-2010)\", Remote Sensing\n of Environment, 155, pp. 13-31, December 2014.\n [doi:10.1016/j.rse.2014.04.014.](https://doi.org/10.1016/j.rse.2014.04.014)\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('JAXA/ALOS/PALSAR/YEARLY/FNF4')\n .filterDate('2018-01-01', '2018-12-31');\nvar forestNonForest = dataset.select('fnf');\nvar forestNonForestVis = {\n min: 1,\n max: 4,\n palette: ['00b200','83ef62','ffff99','0000ff'],\n};\nMap.setCenter(136.85, 37.37, 4);\nMap.addLayer(forestNonForest, forestNonForestVis, 'Forest/Non-Forest');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JAXA/JAXA_ALOS_PALSAR_YEARLY_FNF4) \n[Global 4-class PALSAR-2/PALSAR Forest/Non-Forest Map](/earth-engine/datasets/catalog/JAXA_ALOS_PALSAR_YEARLY_FNF4) \nThe global forest/non-forest map (FNF) is generated by classifying the SAR image (backscattering coefficient) in the global 25m resolution PALSAR-2/PALSAR SAR mosaic so that strong and low backscatter pixels are assigned as \"forest\" and \"non-forest\", respectively. Here, \"forest\" is defined as the natural forest with the area larger than 0.5 ... \nJAXA/ALOS/PALSAR/YEARLY/FNF4, alos,alos2,classification,eroc,forest,forest-biomass,jaxa,landcover,palsar,palsar2,sar \n2017-01-01T00:00:00Z/2021-01-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://www.eorc.jaxa.jp/ALOS/en/dataset/fnf_e.htm)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/JAXA_ALOS_PALSAR_YEARLY_FNF4)"]]
