Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-07-25 11:34:58	ga_s2bm_ard_3-2-1_50HPH_2017-07-25_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HNH_2017-10-06_final.stac-item
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49JGM_2017-11-14_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JFM_2017-11-24_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HLH_2017-12-15_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JMN_2017-12-18_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HLJ_2018-01-07_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKP_2018-03-28_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JKN_2018-05-20_final.stac-item
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JGL_2018-07-22_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JLL_2018-07-26_final.stac-item
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGL_2018-08-08_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGM_2018-08-21_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JLP_2018-09-04_final.stac-item
2018-11-23 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2018-11-23_final.stac-item
2018-12-26 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2018-12-26_final.stac-item
2019-01-05 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2019-01-05_final.stac-item
2019-04-05 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2019-04-05_final.stac-item
2019-05-15 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-15_final.stac-item
2019-07-11 11:56:16	ga_s2bm_ard_3-2-1_50JMM_2019-07-11_final.stac-item
2019-07-21 11:56:27	ga_s2bm_ard_3-2-1_50JNL_2019-07-21_final.stac-item
2019-08-10 11:56:47	ga_s2bm_ard_3-2-1_50HLK_2019-08-10_final.stac-item
2019-09-19 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2019-09-19_final.stac-item
2019-10-12 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2019-10-12_final.stac-item
2019-10-29 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-29_final.stac-item
2019-12-08 11:56:16	ga_s2bm_ard_3-2-1_50JML_2019-12-08_final.stac-item
2019-12-31 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2019-12-31_final.stac-item
2019-12-31 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-31_final.stac-item
2020-01-31 11:36:30	ga_s2bm_ard_3-2-1_50HPK_2020-01-31_final.stac-item
2020-02-02 12:14:49	ga_s2bm_ard_3-2-1_49JGM_2020-02-02_final.stac-item
2020-03-27 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2020-03-27_final.stac-item
2020-04-02 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2020-04-02_final.stac-item
2020-04-09 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2020-04-09_final.stac-item
2020-04-13 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2020-04-13_final.stac-item
2020-04-29 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2020-04-29_final.stac-item
2020-06-02 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2020-06-02_final.stac-item
2020-06-18 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2020-06-18_final.stac-item
2020-08-04 11:55:16	ga_s2bm_ard_3-2-1_50JLR_2020-08-04_final.stac-item
2020-08-14 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2020-08-14_final.stac-item
2020-10-09 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-10-09_final.stac-item
2020-10-26 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-10-26_final.stac-item
2020-10-27 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-10-27_final.stac-item
2020-11-05 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2020-11-05_final.stac-item
2020-11-25 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2020-11-25_final.stac-item
2020-12-08 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-12-08_final.stac-item
2020-12-29 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2020-12-29_final.stac-item
2020-12-29 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-12-29_final.stac-item
2021-01-18 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-01-18_final.stac-item
2021-01-31 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-01-31_final.stac-item
2021-02-10 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2021-02-10_final.stac-item
2021-02-10 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-02-10_final.stac-item
2021-02-23 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-02-23_final.stac-item
2021-03-05 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2021-03-05_final.stac-item
2021-05-14 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2021-05-14_final.stac-item
2021-05-18 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2021-05-18_final.stac-item
2021-05-28 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2021-05-28_final
2021-05-28 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2021-05-28_final
2021-06-07 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-06-07_final.stac-item
2021-06-17 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2021-06-17_final.stac-item
2021-06-23 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2021-06-23_final.stac-item
2021-07-03 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final.stac-item
2021-07-03 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-07-03_final.stac-item
2021-07-17 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-17_final.stac-item
2021-08-03 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2021-08-03_final
2021-09-01 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2021-09-01_final.stac-item
2021-09-15 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2021-09-15_final.stac-item
2021-10-14 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2021-10-14_final.stac-item
2021-10-22 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-10-22_final
2021-12-27 11:56:13	ga_s2bm_ard_3-2-1_50JNL_2021-12-27_final.stac-item
2022-01-19 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2022-01-19_final.stac-item
2022-01-19 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2022-01-19_final.stac-item
2022-02-15 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-02-15_final.stac-item
2022-05-26 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2022-05-26_final.stac-item
2022-06-12 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2022-06-12_final.stac-item
2022-08-20 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2022-08-20_final.stac-item
2022-09-30 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-09-30_final.stac-item
2022-10-23 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2022-10-23_final.stac-item
2022-11-09 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2022-11-09_final.stac-item
2022-12-25 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2022-12-25_final.stac-item
2023-01-28 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2023-01-28_final.stac-item
2023-02-14 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2023-02-14_final
2023-04-05 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2023-04-05_final
2023-04-15 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-04-15_final
2023-05-08 11:46:29	ga_s2bm_ard_3-2-1_50JML_2023-05-08_final
2023-06-03 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2023-06-03_final
2023-10-21 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-10-21_final
2023-10-22 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-10-22_final
2023-11-17 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2023-11-17_final
2023-11-27 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2023-11-27_final
2023-12-14 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2023-12-14_final
2023-12-14 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2023-12-14_final
2023-12-20 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-12-20_final
2023-12-21 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2023-12-21_final
2024-01-12 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2024-01-12_final
2024-01-23 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2024-01-23_final
2024-01-29 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-01-29_final
2024-03-09 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2024-03-09_final
2024-03-16 11:54:50	ga_s2bm_ard_3-2-1_50JNS_2024-03-16_final
2024-04-18 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2024-04-18_final
2024-04-18 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2024-04-18_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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