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
2017-08-16 12:13:41	ga_s2bm_ard_3-2-1_49KHR_2017-08-16_final.stac-item
2017-08-18 11:12:12	ga_s2bm_ard_3-2-1_52KCA_2017-08-18_final.stac-item
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51HXD_2017-08-21_final.stac-item
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52JCN_2017-08-28_final.stac-item
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50JNL_2017-08-30_final.stac-item
2017-10-08 10:42:51	ga_s2bm_ard_3-2-1_53HME_2017-10-08_final.stac-item
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50KMC_2017-10-19_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KVT_2017-11-05_final.stac-item
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_52JBT_2017-11-06_final.stac-item
2017-11-10 10:53:01	ga_s2bm_ard_3-2-1_52JGR_2017-11-10_final.stac-item
2017-12-26 11:07:01	ga_s2bm_ard_3-2-1_52LHM_2017-12-26_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50HLJ_2018-01-17_final.stac-item
2018-02-01 10:57:09	ga_s2bm_ard_3-2-1_52KGD_2018-02-01_final.stac-item
2018-02-22 10:27:00	ga_s2bm_ard_3-2-1_53HND_2018-02-22_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_51LVC_2018-04-24_final.stac-item
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53JNH_2018-05-03_final.stac-item
2018-06-24 11:14:42	ga_s2bm_ard_3-2-1_51JXG_2018-06-24_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50KRC_2018-07-26_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JKP_2018-08-25_final.stac-item
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52JFM_2018-08-30_final.stac-item
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49JGL_2018-09-30_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JKM_2018-10-14_final.stac-item
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51LWC_2018-10-21_final.stac-item
2018-11-18 11:01:47	ga_s2bm_ard_3-2-1_52LFH_2018-11-18_final.stac-item
2018-11-22 10:45:55	ga_s2bm_ard_3-2-1_53JKF_2018-11-22_final.stac-item
2019-02-15 11:36:31	ga_s2bm_ard_3-2-1_51HVE_2019-02-15_final.stac-item
2019-05-30 11:16:34	ga_s2bm_ard_3-2-1_51HXE_2019-05-30_final.stac-item
2019-07-01 11:57:18	ga_s2bm_ard_3-2-1_50HLH_2019-07-01_final.stac-item
2019-07-24 12:06:18	ga_s2bm_ard_3-2-1_50JKM_2019-07-24_final.stac-item
2019-08-04 11:34:04	ga_s2bm_ard_3-2-1_51KWQ_2019-08-04_final.stac-item
2019-09-05 10:37:01	ga_s2bm_ard_3-2-1_53HPA_2019-09-05_final.stac-item
2019-09-16 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2019-09-16_final.stac-item
2019-09-24 11:03:22	ga_s2bm_ard_3-2-1_52KHA_2019-09-24_final.stac-item
2019-10-03 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2019-10-03_final.stac-item
2019-12-22 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2019-12-22_final.stac-item
2020-01-08 11:24:35	ga_s2bm_ard_3-2-1_51JXM_2020-01-08_final.stac-item
2020-02-04 11:13:01	ga_s2bm_ard_3-2-1_52KCC_2020-02-04_final.stac-item
2020-02-20 11:35:15	ga_s2bm_ard_3-2-1_51JTK_2020-02-20_final.stac-item
2020-02-21 11:03:31	ga_s2bm_ard_3-2-1_52KEA_2020-02-21_final.stac-item
2020-03-01 11:36:29	ga_s2bm_ard_3-2-1_51HTE_2020-03-01_final.stac-item
2020-03-14 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2020-03-14_final.stac-item
2020-03-17 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2020-03-17_final.stac-item
2020-05-02 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2020-05-02_final.stac-item
2020-05-16 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2020-05-16_final.stac-item
2020-05-26 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2020-05-26_final.stac-item
2020-06-11 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-06-11_final.stac-item
2020-06-12 11:45:46	ga_s2bm_ard_3-2-1_51JTH_2020-06-12_final.stac-item
2020-06-13 11:13:15	ga_s2bm_ard_3-2-1_52KCC_2020-06-13_final.stac-item
2020-08-04 11:53:14	ga_s2bm_ard_3-2-1_50KRC_2020-08-04_final.stac-item
2020-08-11 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2020-08-11_final.stac-item
2020-09-07 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2020-09-07_final.stac-item
2020-09-17 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2020-09-17_final.stac-item
2020-11-04 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2020-11-04_final.stac-item
2020-12-05 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2020-12-05_final.stac-item
2020-12-23 11:21:35	ga_s2bm_ard_3-2-1_52LBJ_2020-12-23_final.stac-item
2021-01-12 11:25:42	ga_s2bm_ard_3-2-1_51JWH_2021-01-12_final.stac-item
2021-04-14 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2021-04-14_final.stac-item
2021-04-15 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2021-04-15_final.stac-item
2021-05-05 11:35:13	ga_s2bm_ard_3-2-1_51JUK_2021-05-05_final.stac-item
2021-06-05 11:06:11	ga_s2bm_ard_3-2-1_52JBL_2021-06-05_final.stac-item
2021-06-21 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2021-06-21_final.stac-item
2021-07-30 11:54:57	ga_s2bm_ard_3-2-1_50JMS_2021-07-30_final.stac-item
2021-09-19 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2021-09-19_final.stac-item
2021-09-21 10:26:48	ga_s2bm_ard_3-2-1_53HPB_2021-09-21_final.stac-item
2021-10-09 11:24:44	ga_s2bm_ard_3-2-1_52JBR_2021-10-09_final.stac-item
2021-11-18 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2021-11-18_final.stac-item
2021-12-08 11:24:24	ga_s2bm_ard_3-2-1_51JWN_2021-12-08_final.stac-item
2022-01-09 10:26:28	ga_s2bm_ard_3-2-1_53HQC_2022-01-09_final.stac-item
2022-01-20 11:31:16	ga_s2bm_ard_3-2-1_51LZE_2022-01-20_final.stac-item
2022-04-17 11:26:22	ga_s2bm_ard_3-2-1_51HWE_2022-04-17_final.stac-item
2022-04-20 11:36:47	ga_s2bm_ard_3-2-1_50HPJ_2022-04-20_final.stac-item
2022-06-08 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2022-06-08_final.stac-item
2022-06-12 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2022-06-12_final.stac-item
2022-07-23 11:15:23	ga_s2bm_ard_3-2-1_52JCP_2022-07-23_final.stac-item
2022-07-26 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2022-07-26_final.stac-item
2022-08-03 10:44:14	ga_s2bm_ard_3-2-1_53JMN_2022-08-03_final.stac-item
2022-08-30 10:36:33	ga_s2bm_ard_3-2-1_53HPC_2022-08-30_final.stac-item
2022-09-30 11:44:27	ga_s2bm_ard_3-2-1_51JUN_2022-09-30_final.stac-item
2022-10-01 11:12:34	ga_s2bm_ard_3-2-1_52KDE_2022-10-01_final.stac-item
2022-10-10 11:45:34	ga_s2bm_ard_3-2-1_50JPP_2022-10-10_final.stac-item
2022-10-23 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2022-10-23_final.stac-item
2022-11-06 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2022-11-06_final.stac-item
2022-11-19 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2022-11-19_final.stac-item
2023-01-09 11:13:51	ga_s2bm_ard_3-2-1_52KBV_2023-01-09_final.stac-item
2023-01-10 10:44:03	ga_s2bm_ard_3-2-1_53JNN_2023-01-10_final.stac-item
2023-01-18 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2023-01-18_final.stac-item
2023-01-29 11:14:29	ga_s2bm_ard_3-2-1_52JDS_2023-01-29_final.stac-item
2023-02-21 11:22:54	ga_s2bm_ard_3-2-1_52KCD_2023-02-21_final
2023-02-27 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2023-02-27_final
2023-03-03 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2023-03-03_final
2023-03-27 11:04:46	ga_s2bm_ard_3-2-1_52JFR_2023-03-27_final
2023-04-09 11:11:33	ga_s2bm_ard_3-2-1_52LGJ_2023-04-09_final
2023-08-06 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2023-08-06_final
2023-09-07 10:46:28	ga_s2bm_ard_3-2-1_53HLD_2023-09-07_final
2023-10-05 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2023-10-05_final
2023-10-16 11:16:25	ga_s2bm_ard_3-2-1_51HYE_2023-10-16_final
2023-11-27 11:57:09	ga_s2bm_ard_3-2-1_50HKH_2023-11-27_nrt
2023-12-08 11:25:49	ga_s2bm_ard_3-2-1_51JXG_2023-12-08_final
2024-01-29 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-01-29_final
2024-03-13 11:43:30	ga_s2bm_ard_3-2-1_50KRB_2024-03-13_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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