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
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50HLK_2017-08-10_final.stac-item
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JGL_2017-10-22_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49JGM_2017-11-11_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JPL_2017-12-05_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49KHR_2017-12-31_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50JKT_2018-01-30_final.stac-item
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50JPL_2018-02-23_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JLL_2018-03-18_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQJ_2018-04-21_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMJ_2018-05-24_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HPH_2018-05-31_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50HQJ_2018-07-10_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JPL_2018-07-23_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50KQC_2018-07-23_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50HMJ_2018-08-05_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50JQM_2018-08-22_final.stac-item
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51HTD_2018-09-28_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50KMC_2018-10-17_final.stac-item
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_50KRD_2018-10-21_final.stac-item
2018-11-03 11:47:22	ga_s2bm_ard_3-2-1_50KNC_2018-11-03_final.stac-item
2018-12-10 11:46:20	ga_s2bm_ard_3-2-1_50JML_2018-12-10_final.stac-item
2018-12-16 12:03:14	ga_s2bm_ard_3-2-1_50KNC_2018-12-16_final.stac-item
2018-12-20 11:44:20	ga_s2bm_ard_3-2-1_50KQU_2018-12-20_final.stac-item
2019-01-15 12:03:19	ga_s2bm_ard_3-2-1_50KNC_2019-01-15_final.stac-item
2019-04-28 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2019-04-28_final.stac-item
2019-05-29 11:46:28	ga_s2bm_ard_3-2-1_50JPL_2019-05-29_final.stac-item
2019-06-01 11:53:30	ga_s2bm_ard_3-2-1_50KPC_2019-06-01_final.stac-item
2019-07-24 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-07-24_final.stac-item
2019-08-10 11:53:28	ga_s2bm_ard_3-2-1_50KPC_2019-08-10_final.stac-item
2019-09-03 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2019-09-03_final.stac-item
2019-09-12 12:03:21	ga_s2bm_ard_3-2-1_50KNC_2019-09-12_final.stac-item
2019-10-16 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2019-10-16_final.stac-item
2019-11-11 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2019-11-11_final.stac-item
2019-11-15 11:45:31	ga_s2bm_ard_3-2-1_50JQP_2019-11-15_final.stac-item
2019-12-05 11:46:09	ga_s2bm_ard_3-2-1_50JQL_2019-12-05_final.stac-item
2019-12-25 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2019-12-25_final.stac-item
2020-04-03 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2020-04-03_final.stac-item
2020-04-19 12:04:23	ga_s2bm_ard_3-2-1_50KKU_2020-04-19_final.stac-item
2020-05-03 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2020-05-03_final.stac-item
2020-05-09 12:03:50	ga_s2bm_ard_3-2-1_50KMA_2020-05-09_final.stac-item
2020-05-16 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2020-05-16_final
2020-06-02 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2020-06-02_final.stac-item
2020-06-02 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2020-06-02_final.stac-item
2020-06-25 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2020-06-25_final.stac-item
2020-07-05 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2020-07-05_final.stac-item
2020-10-07 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2020-10-07_final.stac-item
2020-10-13 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2020-10-13_final.stac-item
2020-10-26 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2020-10-26_final.stac-item
2020-11-05 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2020-11-05_final.stac-item
2020-12-05 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2020-12-05_final.stac-item
2020-12-22 11:53:27	ga_s2bm_ard_3-2-1_50KMC_2020-12-22_final.stac-item
2021-01-17 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-01-17_final.stac-item
2021-02-17 11:45:37	ga_s2bm_ard_3-2-1_50JNP_2021-02-17_final.stac-item
2021-03-09 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2021-03-09_final.stac-item
2021-05-11 11:53:55	ga_s2bm_ard_3-2-1_50KPV_2021-05-11_final.stac-item
2021-07-17 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2021-07-17_final.stac-item
2021-08-02 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2021-08-02_final.stac-item
2021-09-19 11:26:29	ga_s2bm_ard_3-2-1_51HUE_2021-09-19_final.stac-item
2021-10-21 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2021-10-21_final.stac-item
2021-11-20 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2021-11-20_final.stac-item
2021-11-21 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2021-11-21_final.stac-item
2021-11-27 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2021-11-27_final.stac-item
2021-12-20 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2021-12-20_final.stac-item
2021-12-27 11:54:58	ga_s2bm_ard_3-2-1_50JPR_2021-12-27_final.stac-item
2022-01-09 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2022-01-09_final.stac-item
2022-01-10 11:36:24	ga_s2bm_ard_3-2-1_51HUE_2022-01-10_final.stac-item
2022-02-02 11:46:37	ga_s2bm_ard_3-2-1_50HQJ_2022-02-02_final.stac-item
2022-03-10 12:04:39	ga_s2bm_ard_3-2-1_49JGN_2022-03-10_final.stac-item
2022-05-09 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2022-05-09_final.stac-item
2022-05-13 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2022-05-13_final.stac-item
2022-06-05 11:54:01	ga_s2bm_ard_3-2-1_50KPV_2022-06-05_final.stac-item
2022-06-11 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2022-06-11_final.stac-item
2022-06-15 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2022-06-15_final.stac-item
2022-06-25 11:56:12	ga_s2bm_ard_3-2-1_50JMM_2022-06-25_final.stac-item
2022-08-17 12:04:49	ga_s2bm_ard_3-2-1_50JKT_2022-08-17_final.stac-item
2022-08-18 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2022-08-18_final.stac-item
2022-08-21 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2022-08-21_final.stac-item
2022-09-10 11:45:23	ga_s2bm_ard_3-2-1_50JPQ_2022-09-10_final.stac-item
2022-12-05 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2022-12-05_final.stac-item
2022-12-15 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2022-12-15_final.stac-item
2023-01-04 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2023-01-04_final.stac-item
2023-01-07 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2023-01-07_final.stac-item
2023-01-31 11:53:22	ga_s2bm_ard_3-2-1_50KNC_2023-01-31_final.stac-item
2023-04-28 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2023-04-28_final
2023-05-27 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-05-27_final
2023-06-17 11:44:50	ga_s2bm_ard_3-2-1_50JRS_2023-06-17_final
2023-07-03 12:03:25	ga_s2bm_ard_3-2-1_50KNC_2023-07-03_final
2023-08-02 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2023-08-02_final
2023-08-06 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2023-08-06_final
2023-08-16 11:47:26	ga_s2bm_ard_3-2-1_50HNG_2023-08-16_final
2023-08-23 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2023-08-23_final
2023-08-29 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2023-08-29_final
2023-11-14 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2023-11-14_final
2023-11-21 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2023-11-21_final
2023-12-27 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2023-12-27_final
2023-12-27 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2023-12-27_final
2024-02-22 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-02-22_final
2024-03-03 11:43:30	ga_s2bm_ard_3-2-1_50KRB_2024-03-03_final
2024-03-03 11:45:00	ga_s2bm_ard_3-2-1_50JQR_2024-03-03_final
2024-03-06 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2024-03-06_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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