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
2017-09-13 11:35:54	ga_s2bm_ard_3-2-1_51JVF_2017-09-13_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HLJ_2017-11-28_final.stac-item
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52JCT_2017-12-06_final.stac-item
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51LZD_2018-01-08_final.stac-item
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JBL_2018-01-12_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50JKT_2018-02-19_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KXA_2018-02-20_final.stac-item
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HMJ_2018-02-23_final.stac-item
2018-03-06 11:11:23	ga_s2bm_ard_3-2-1_52JBR_2018-03-06_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KPA_2018-06-06_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KQB_2018-06-06_final.stac-item
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51HTD_2018-06-20_final.stac-item
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KZS_2018-07-07_final.stac-item
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50HPK_2018-09-01_final.stac-item
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HXE_2018-10-15_final.stac-item
2018-11-21 11:15:47	ga_s2bm_ard_3-2-1_52JBM_2018-11-21_final.stac-item
2018-12-17 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2018-12-17_final.stac-item
2018-12-17 11:36:37	ga_s2bm_ard_3-2-1_51HUD_2018-12-17_final.stac-item
2019-02-15 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2019-02-15_final.stac-item
2019-03-08 11:05:57	ga_s2bm_ard_3-2-1_52JEL_2019-03-08_final.stac-item
2019-04-19 11:46:58	ga_s2bm_ard_3-2-1_50HNJ_2019-04-19_final.stac-item
2019-04-30 11:14:36	ga_s2bm_ard_3-2-1_51JYN_2019-04-30_final.stac-item
2019-06-07 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2019-06-07_final.stac-item
2019-06-08 11:45:32	ga_s2bm_ard_3-2-1_50JNQ_2019-06-08_final.stac-item
2019-06-09 11:15:44	ga_s2bm_ard_3-2-1_52JBN_2019-06-09_final.stac-item
2019-07-06 11:06:46	ga_s2bm_ard_3-2-1_51HYD_2019-07-06_final.stac-item
2019-08-04 11:33:35	ga_s2bm_ard_3-2-1_51KWS_2019-08-04_final.stac-item
2019-08-20 11:56:31	ga_s2bm_ard_3-2-1_50JLL_2019-08-20_final.stac-item
2019-09-23 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2019-09-23_final.stac-item
2019-10-14 11:05:54	ga_s2bm_ard_3-2-1_52JEL_2019-10-14_final.stac-item
2019-10-20 11:25:40	ga_s2bm_ard_3-2-1_51JXH_2019-10-20_final.stac-item
2019-12-01 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2019-12-01_final.stac-item
2020-02-09 12:04:01	ga_s2bm_ard_3-2-1_50KMV_2020-02-09_final.stac-item
2020-03-18 11:25:36	ga_s2bm_ard_3-2-1_51JXH_2020-03-18_final.stac-item
2020-05-27 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2020-05-27_final.stac-item
2020-06-26 11:26:43	ga_s2bm_ard_3-2-1_51HWD_2020-06-26_final.stac-item
2020-07-12 11:41:57	ga_s2bm_ard_3-2-1_51LWC_2020-07-12_final.stac-item
2020-09-14 11:24:31	ga_s2bm_ard_3-2-1_51JWN_2020-09-14_final.stac-item
2020-11-09 11:42:00	ga_s2bm_ard_3-2-1_51LVC_2020-11-09_final.stac-item
2020-11-26 11:33:02	ga_s2bm_ard_3-2-1_51KYT_2020-11-26_final.stac-item
2020-12-26 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2020-12-26_final.stac-item
2021-01-02 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-01-02_final.stac-item
2021-02-14 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2021-02-14_final.stac-item
2021-04-08 11:45:51	ga_s2bm_ard_3-2-1_50JNN_2021-04-08_final.stac-item
2021-05-05 11:34:40	ga_s2bm_ard_3-2-1_51JVM_2021-05-05_final.stac-item
2021-05-15 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2021-05-15_final.stac-item
2021-05-24 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2021-05-24_final.stac-item
2021-06-01 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-06-01_final.stac-item
2021-06-03 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-06-03_final.stac-item
2021-06-08 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2021-06-08_final.stac-item
2021-06-14 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2021-06-14_final.stac-item
2021-06-27 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2021-06-27_final.stac-item
2021-07-07 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-07_final.stac-item
2021-07-14 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2021-07-14_final.stac-item
2021-08-10 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2021-08-10_final.stac-item
2021-08-12 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2021-08-12_final.stac-item
2021-11-08 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2021-11-08_final.stac-item
2021-12-21 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2021-12-21_final.stac-item
2021-12-22 11:05:32	ga_s2bm_ard_3-2-1_52JCN_2021-12-22_final.stac-item
2021-12-25 11:15:14	ga_s2bm_ard_3-2-1_52JBP_2021-12-25_final.stac-item
2021-12-31 11:32:42	ga_s2bm_ard_3-2-1_51KVV_2021-12-31_final.stac-item
2022-02-03 11:14:03	ga_s2bm_ard_3-2-1_51KZP_2022-02-03_final.stac-item
2022-03-01 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2022-03-01_final.stac-item
2022-03-01 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2022-03-01_final.stac-item
2022-04-03 11:44:27	ga_s2bm_ard_3-2-1_51JTN_2022-04-03_final.stac-item
2022-04-03 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2022-04-03_final.stac-item
2022-04-10 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2022-04-10_final.stac-item
2022-04-20 11:33:04	ga_s2bm_ard_3-2-1_51KXT_2022-04-20_final.stac-item
2022-04-27 11:24:19	ga_s2bm_ard_3-2-1_51JXN_2022-04-27_final.stac-item
2022-05-13 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2022-05-13_final.stac-item
2022-06-19 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2022-06-19_final.stac-item
2022-08-01 11:45:29	ga_s2bm_ard_3-2-1_50JNQ_2022-08-01_final.stac-item
2022-08-11 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2022-08-11_final.stac-item
2022-08-17 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2022-08-17_final.stac-item
2022-09-04 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2022-09-04_final.stac-item
2022-09-07 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2022-09-07_final.stac-item
2022-09-20 11:46:10	ga_s2bm_ard_3-2-1_50JNM_2022-09-20_final.stac-item
2022-11-07 11:06:08	ga_s2bm_ard_3-2-1_52JBL_2022-11-07_final.stac-item
2022-11-15 12:03:33	ga_s2bm_ard_3-2-1_50KNB_2022-11-15_final.stac-item
2022-11-23 11:23:21	ga_s2bm_ard_3-2-1_51KZS_2022-11-23_final.stac-item
2022-12-02 13:31:36	ga_s2bm_ard_3-2-1_47LKG_2022-12-02_interim
2023-01-31 11:57:12	ga_s2bm_ard_3-2-1_49HGC_2023-01-31_nrt.stac-item
2023-03-26 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2023-03-26_final
2023-04-09 11:15:06	ga_s2bm_ard_3-2-1_52JCQ_2023-04-09_final
2023-04-14 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2023-04-14_final
2023-08-23 11:34:41	ga_s2bm_ard_3-2-1_50JRT_2023-08-23_final
2023-09-22 11:36:06	ga_s2bm_ard_3-2-1_51JTG_2023-09-22_final
2023-11-28 11:24:48	ga_s2bm_ard_3-2-1_51JYL_2023-11-28_final
2023-11-30 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2023-11-30_final
2023-12-01 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2023-12-01_final
2024-01-04 11:16:26	ga_s2bm_ard_3-2-1_51HXE_2024-01-04_final
2024-02-25 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2024-02-25_final
2024-02-29 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2024-02-29_final
2024-03-13 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2024-03-13_final
2024-03-13 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2024-03-13_final
2024-03-14 11:15:22	ga_s2bm_ard_3-2-1_51JYJ_2024-03-14_final
2024-03-20 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2024-03-20_final
2024-04-02 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2024-04-02_final
2024-05-23 11:14:41	ga_s2bm_ard_3-2-1_51JYM_2024-05-23_nrt
2024-05-28 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2024-05-28_nrt

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