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
2017-07-07 12:14:42	ga_s2bm_ard_3-2-1_49JGM_2017-07-07_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2017-09-02_final.stac-item
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KWA_2017-10-13_final.stac-item
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KVB_2017-11-02_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KNC_2017-12-08_final.stac-item
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51JVJ_2018-01-28_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50KPC_2018-03-08_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JKP_2018-03-21_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KVQ_2018-04-11_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_51KTU_2018-04-24_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HPH_2018-06-23_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JPR_2018-06-26_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51JTN_2018-07-23_final.stac-item
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51HUD_2018-08-06_final.stac-item
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HLH_2018-09-01_final.stac-item
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51KVB_2018-09-18_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51HUE_2018-10-08_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KVU_2018-10-08_final.stac-item
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50HLK_2018-10-24_final.stac-item
2018-11-30 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2018-11-30_final.stac-item
2018-12-11 11:15:36	ga_s2bm_ard_3-2-1_51JXH_2018-12-11_final.stac-item
2018-12-16 12:04:22	ga_s2bm_ard_3-2-1_50KKU_2018-12-16_final.stac-item
2018-12-29 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2018-12-29_final.stac-item
2019-01-25 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-01-25_final.stac-item
2019-02-04 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2019-02-04_final.stac-item
2019-02-08 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2019-02-08_final.stac-item
2019-04-19 11:43:24	ga_s2bm_ard_3-2-1_51KTT_2019-04-19_final.stac-item
2019-06-11 11:55:14	ga_s2bm_ard_3-2-1_50JNR_2019-06-11_final.stac-item
2019-06-21 11:55:24	ga_s2bm_ard_3-2-1_50JPQ_2019-06-21_final.stac-item
2019-06-28 11:46:28	ga_s2bm_ard_3-2-1_50JPL_2019-06-28_final.stac-item
2019-07-12 11:26:41	ga_s2bm_ard_3-2-1_51HUE_2019-07-12_final.stac-item
2019-08-06 12:15:03	ga_s2bm_ard_3-2-1_49JGM_2019-08-06_final.stac-item
2019-09-16 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2019-09-16_final.stac-item
2019-12-22 11:34:24	ga_s2bm_ard_3-2-1_51JVN_2019-12-22_final.stac-item
2020-02-09 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2020-02-09_final.stac-item
2020-03-04 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2020-03-04_final.stac-item
2020-03-30 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2020-03-30_final.stac-item
2020-04-09 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2020-04-09_final.stac-item
2020-04-17 11:24:22	ga_s2bm_ard_3-2-1_51JXN_2020-04-17_final.stac-item
2020-04-24 11:16:17	ga_s2bm_ard_3-2-1_51HYE_2020-04-24_final.stac-item
2020-06-18 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2020-06-18_final.stac-item
2020-06-19 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-06-19_final.stac-item
2020-08-28 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2020-08-28_final.stac-item
2020-09-20 11:43:38	ga_s2bm_ard_3-2-1_51KVR_2020-09-20_final.stac-item
2020-09-23 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2020-09-23_final.stac-item
2020-10-20 11:44:02	ga_s2bm_ard_3-2-1_51KUQ_2020-10-20_final.stac-item
2020-11-29 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2020-11-29_final.stac-item
2020-12-20 11:14:52	ga_s2bm_ard_3-2-1_51JYL_2020-12-20_final.stac-item
2020-12-28 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2020-12-28_final.stac-item
2021-02-14 11:32:30	ga_s2bm_ard_3-2-1_51KVA_2021-02-14_final.stac-item
2021-02-20 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2021-02-20_final.stac-item
2021-03-09 11:45:20	ga_s2bm_ard_3-2-1_50JPQ_2021-03-09_final.stac-item
2021-03-26 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2021-03-26_final.stac-item
2021-05-08 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2021-05-08_final.stac-item
2021-06-20 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2021-06-20_final.stac-item
2021-06-23 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-06-23_final.stac-item
2021-07-11 11:25:08	ga_s2bm_ard_3-2-1_51JYK_2021-07-11_final.stac-item
2021-07-14 11:36:01	ga_s2bm_ard_3-2-1_51JUG_2021-07-14_final.stac-item
2021-07-24 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2021-07-24_final.stac-item
2021-07-31 11:24:39	ga_s2bm_ard_3-2-1_51JYM_2021-07-31_final.stac-item
2021-09-11 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2021-09-11_final.stac-item
2021-09-16 11:14:34	ga_s2bm_ard_3-2-1_51JZM_2021-09-16_final.stac-item
2021-10-12 11:36:29	ga_s2bm_ard_3-2-1_51HUE_2021-10-12_final.stac-item
2021-12-07 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2021-12-07_final
2021-12-21 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2021-12-21_final.stac-item
2022-01-07 11:24:26	ga_s2bm_ard_3-2-1_51JWN_2022-01-07_final.stac-item
2022-01-23 11:44:54	ga_s2bm_ard_3-2-1_51JTL_2022-01-23_final.stac-item
2022-03-24 11:44:32	ga_s2bm_ard_3-2-1_50JQT_2022-03-24_final.stac-item
2022-04-10 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2022-04-10_final.stac-item
2022-04-26 11:55:43	ga_s2bm_ard_3-2-1_50JNN_2022-04-26_final.stac-item
2022-06-02 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2022-06-02_final.stac-item
2022-06-05 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2022-06-05_final.stac-item
2022-06-06 11:24:23	ga_s2bm_ard_3-2-1_51JYN_2022-06-06_final.stac-item
2022-06-06 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2022-06-06_final.stac-item
2022-07-16 11:26:01	ga_s2bm_ard_3-2-1_51JWG_2022-07-16_final.stac-item
2022-07-22 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2022-07-22_final.stac-item
2022-07-23 11:15:01	ga_s2bm_ard_3-2-1_51JYL_2022-07-23_final.stac-item
2022-07-29 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2022-07-29_final.stac-item
2022-09-14 11:25:48	ga_s2bm_ard_3-2-1_51JVH_2022-09-14_final.stac-item
2022-09-27 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2022-09-27_final.stac-item
2022-10-13 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2022-10-13_final.stac-item
2022-12-29 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2022-12-29_final.stac-item
2022-12-29 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-12-29_final.stac-item
2023-04-25 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2023-04-25_final
2023-06-07 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2023-06-07_final
2023-06-11 11:26:37	ga_s2bm_ard_3-2-1_51HUE_2023-06-11_final
2023-06-23 12:04:03	ga_s2bm_ard_3-2-1_50KKA_2023-06-23_final
2023-06-30 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2023-06-30_final
2023-07-01 11:25:15	ga_s2bm_ard_3-2-1_51JXK_2023-07-01_final
2023-07-14 11:34:19	ga_s2bm_ard_3-2-1_51KVP_2023-07-14_final
2023-08-30 11:24:49	ga_s2bm_ard_3-2-1_51JYM_2023-08-30_final
2023-10-01 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-01_final
2023-10-02 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2023-10-02_final
2023-11-15 11:14:41	ga_s2bm_ard_3-2-1_51JYM_2023-11-15_final
2023-12-04 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2023-12-04_final
2023-12-31 11:32:16	ga_s2bm_ard_3-2-1_51KWB_2023-12-31_final
2024-01-14 11:15:09	ga_s2bm_ard_3-2-1_51JYK_2024-01-14_final
2024-03-17 11:26:08	ga_s2bm_ard_3-2-1_51JWF_2024-03-17_final
2024-04-29 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2024-04-29_final
2024-05-12 11:46:26	ga_s2bm_ard_3-2-1_50JML_2024-05-12_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