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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPS_2017-08-27_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50KRU_2017-08-27_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KUP_2017-08-27_final.stac-item
2017-10-15 12:14:28	ga_s2bm_ard_3-2-1_49JFM_2017-10-15_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HLH_2017-11-05_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KPA_2017-12-18_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KQB_2017-12-18_final.stac-item
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_50KRD_2018-02-13_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HPK_2018-03-02_final.stac-item
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51JUN_2018-03-25_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JKP_2018-03-28_final.stac-item
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51HUE_2018-03-29_final.stac-item
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51JUF_2018-03-29_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKP_2018-03-31_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPK_2018-04-01_final.stac-item
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51HWD_2018-04-05_final.stac-item
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51HXE_2018-04-05_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JKP_2018-04-07_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNK_2018-04-24_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JPL_2018-04-24_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JPS_2018-04-24_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JQQ_2018-04-24_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JLM_2018-06-29_final.stac-item
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51JWL_2018-07-30_final.stac-item
2018-12-10 11:44:12	ga_s2bm_ard_3-2-1_51KTP_2018-12-10_final.stac-item
2018-12-27 11:34:25	ga_s2bm_ard_3-2-1_51JVN_2018-12-27_final.stac-item
2019-01-05 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2019-01-05_final.stac-item
2019-01-06 11:35:17	ga_s2bm_ard_3-2-1_51JWJ_2019-01-06_final.stac-item
2019-01-12 11:54:00	ga_s2bm_ard_3-2-1_50KQV_2019-01-12_final.stac-item
2019-01-23 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2019-01-23_final.stac-item
2019-01-23 11:24:29	ga_s2bm_ard_3-2-1_51JWN_2019-01-23_final.stac-item
2019-01-23 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2019-01-23_final.stac-item
2019-03-24 11:24:26	ga_s2bm_ard_3-2-1_51JXN_2019-03-24_final.stac-item
2019-03-26 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2019-03-26_final.stac-item
2019-04-02 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2019-04-02_final.stac-item
2019-04-19 11:45:52	ga_s2bm_ard_3-2-1_50JQN_2019-04-19_final.stac-item
2019-06-17 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-06-17_final.stac-item
2019-09-03 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2019-09-03_final.stac-item
2019-11-25 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2019-11-25_final.stac-item
2019-12-15 11:44:16	ga_s2bm_ard_3-2-1_51KTP_2019-12-15_final.stac-item
2019-12-21 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2019-12-21_final.stac-item
2020-03-04 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2020-03-04_final.stac-item
2020-04-03 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2020-04-03_final.stac-item
2020-04-23 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2020-04-23_final.stac-item
2020-05-03 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2020-05-03_final.stac-item
2020-06-19 11:34:05	ga_s2bm_ard_3-2-1_51KUQ_2020-06-19_final.stac-item
2020-06-23 11:16:39	ga_s2bm_ard_3-2-1_51HYD_2020-06-23_final.stac-item
2020-09-23 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2020-09-23_final
2020-10-17 11:34:36	ga_s2bm_ard_3-2-1_51JUN_2020-10-17_final.stac-item
2020-10-20 11:44:02	ga_s2bm_ard_3-2-1_51KUQ_2020-10-20_final.stac-item
2020-10-27 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-10-27_final.stac-item
2020-10-30 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2020-10-30_final.stac-item
2020-11-02 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2020-11-02_final.stac-item
2020-11-03 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2020-11-03_final.stac-item
2020-11-06 11:34:38	ga_s2bm_ard_3-2-1_51JTN_2020-11-06_final.stac-item
2020-11-10 11:15:12	ga_s2bm_ard_3-2-1_51JYK_2020-11-10_final.stac-item
2020-12-05 12:03:25	ga_s2bm_ard_3-2-1_50KLC_2020-12-05_final.stac-item
2020-12-26 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2020-12-26_final.stac-item
2020-12-29 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-12-29_final.stac-item
2021-02-26 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-02-26_final.stac-item
2021-03-09 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2021-03-09_final.stac-item
2021-05-19 11:14:52	ga_s2bm_ard_3-2-1_51JYL_2021-05-19_final.stac-item
2021-07-21 11:25:48	ga_s2bm_ard_3-2-1_51JVH_2021-07-21_final.stac-item
2021-08-03 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-08-03_final
2021-08-17 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-08-17_final
2021-08-29 11:52:32	ga_s2bm_ard_3-2-1_50KQF_2021-08-29_final
2021-08-29 11:53:01	ga_s2bm_ard_3-2-1_50KQD_2021-08-29_final
2021-09-04 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2021-09-04_final
2021-10-15 11:44:11	ga_s2bm_ard_3-2-1_50KPV_2021-10-15_final.stac-item
2021-10-15 11:44:17	ga_s2bm_ard_3-2-1_51KTP_2021-10-15_final.stac-item
2021-10-25 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2021-10-25_final.stac-item
2021-11-08 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2021-11-08_final.stac-item
2021-11-11 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2021-11-11_final.stac-item
2021-11-24 11:43:43	ga_s2bm_ard_3-2-1_51KTR_2021-11-24_final.stac-item
2021-11-24 11:43:43	ga_s2bm_ard_3-2-1_50KRA_2021-11-24_final.stac-item
2021-11-25 11:16:54	ga_s2bm_ard_3-2-1_51HWC_2021-11-25_final
2021-12-07 11:54:28	ga_s2bm_ard_3-2-1_50KLU_2021-12-07_final.stac-item
2021-12-07 11:54:57	ga_s2bm_ard_3-2-1_50JPR_2021-12-07_final.stac-item
2021-12-08 11:27:05	ga_s2bm_ard_3-2-1_51HVB_2021-12-08_final
2022-01-07 11:25:06	ga_s2bm_ard_3-2-1_51JXK_2022-01-07_final.stac-item
2022-02-12 11:43:26	ga_s2bm_ard_3-2-1_51KTS_2022-02-12_final.stac-item
2022-06-02 11:44:51	ga_s2bm_ard_3-2-1_51JUL_2022-06-02_final.stac-item
2022-08-11 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2022-08-11_final.stac-item
2022-10-03 11:52:57	ga_s2bm_ard_3-2-1_50KRD_2022-10-03_final.stac-item
2022-11-13 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2022-11-13_final.stac-item
2022-11-29 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2022-11-29_final.stac-item
2022-12-02 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2022-12-02_final.stac-item
2022-12-06 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2022-12-06_final.stac-item
2022-12-29 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2022-12-29_final.stac-item
2023-01-11 11:54:09	ga_s2bm_ard_3-2-1_50KQU_2023-01-11_final.stac-item
2023-01-11 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2023-01-11_final.stac-item
2023-01-21 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2023-01-21_final.stac-item
2023-01-29 11:16:56	ga_s2bm_ard_3-2-1_51HWC_2023-01-29_final
2023-02-08 11:15:23	ga_s2bm_ard_3-2-1_51JYJ_2023-02-08_final
2023-03-03 11:26:30	ga_s2bm_ard_3-2-1_51HVE_2023-03-03_final
2023-03-09 11:44:47	ga_s2bm_ard_3-2-1_50JPS_2023-03-09_final
2023-04-07 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-04-07_final
2023-04-11 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-04-11_final
2023-08-09 11:54:31	ga_s2bm_ard_3-2-1_50KMU_2023-08-09_final
2023-08-22 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-08-22_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

All years