Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_51JYN_2017-08-28_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51KWQ_2017-09-30_final
2017-10-20 11:21:45	ga_s2bm_ard_3-2-1_51KYT_2017-10-20_final
2017-10-21 10:53:01	ga_s2bm_ard_3-2-1_52JGM_2017-10-21_final
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KVT_2017-11-02_final
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KXT_2017-11-02_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KWS_2017-11-22_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KVS_2017-12-25_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51HWE_2018-01-15_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_50KRU_2018-02-03_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KUV_2018-02-03_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWA_2018-03-02_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51HVE_2018-03-02_final
2018-05-08 11:16:58	ga_s2bm_ard_3-2-1_51KWQ_2018-05-08_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KXU_2018-06-10_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51KXR_2018-07-27_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KUU_2018-10-01_final
2019-01-06 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2019-01-06_final
2019-02-12 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2019-02-12_final
2019-02-15 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2019-02-15_final
2019-03-14 11:23:36	ga_s2bm_ard_3-2-1_51KYR_2019-03-14_final
2019-04-15 12:05:17	ga_s2bm_ard_3-2-1_50JKR_2019-04-15_final
2019-04-26 11:33:59	ga_s2bm_ard_3-2-1_51KXQ_2019-04-26_final
2019-05-03 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2019-05-03_final
2019-06-01 11:52:28	ga_s2bm_ard_3-2-1_50KQG_2019-06-01_final.stac-item
2019-06-22 11:24:12	ga_s2bm_ard_3-2-1_52KBU_2019-06-22_final
2019-07-01 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2019-07-01_final
2019-08-17 11:43:35	ga_s2bm_ard_3-2-1_51KUS_2019-08-17_final
2019-08-31 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2019-08-31_final
2019-10-16 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2019-10-16_final.stac-item
2019-11-05 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2019-11-05_final
2019-11-22 11:32:48	ga_s2bm_ard_3-2-1_51KYU_2019-11-22_final
2019-12-05 11:43:37	ga_s2bm_ard_3-2-1_51KUR_2019-12-05_final
2019-12-25 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2019-12-25_final
2019-12-29 11:21:20	ga_s2bm_ard_3-2-1_51LZE_2019-12-29_final
2020-01-08 11:25:04	ga_s2bm_ard_3-2-1_51JXK_2020-01-08_final
2020-01-18 11:22:46	ga_s2bm_ard_3-2-1_51KZU_2020-01-18_final
2020-01-28 11:23:50	ga_s2bm_ard_3-2-1_51KXQ_2020-01-28_final
2020-02-19 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2020-02-19_final
2020-05-17 11:24:11	ga_s2bm_ard_3-2-1_51KXP_2020-05-17_final
2020-05-27 11:23:55	ga_s2bm_ard_3-2-1_51KYQ_2020-05-27_final
2020-06-09 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2020-06-09_final
2020-07-17 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2020-07-17_final
2020-08-25 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2020-08-25_final
2020-08-27 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-08-27_final
2020-09-14 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2020-09-14_final
2020-09-17 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2020-09-17_final
2020-09-30 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-09-30_final
2020-12-26 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2020-12-26_final
2021-01-28 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2021-01-28_final
2021-02-06 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-02-06_final
2021-02-14 11:33:14	ga_s2bm_ard_3-2-1_51KVT_2021-02-14_final
2021-04-08 11:46:23	ga_s2bm_ard_3-2-1_50JML_2021-04-08_final
2021-04-25 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2021-04-25_final
2021-05-02 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2021-05-02_final
2021-05-17 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-05-17_final
2021-05-28 11:43:37	ga_s2bm_ard_3-2-1_50KQB_2021-05-28_final
2021-06-07 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2021-06-07_final
2021-07-24 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2021-07-24_final
2021-07-27 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-27_final
2021-08-20 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2021-08-20_final
2021-09-13 11:04:43	ga_s2bm_ard_3-2-1_52JER_2021-09-13_final
2021-09-19 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2021-09-19_final
2021-10-16 11:15:46	ga_s2bm_ard_3-2-1_51JYH_2021-10-16_final
2021-12-21 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2021-12-21_final
2021-12-28 11:22:51	ga_s2bm_ard_3-2-1_51KYU_2021-12-28_final
2022-01-09 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2022-01-09_final
2022-03-01 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2022-03-01_final
2022-03-31 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2022-03-31_final
2022-04-04 11:13:37	ga_s2bm_ard_3-2-1_51KZR_2022-04-04_final
2022-06-10 11:06:26	ga_s2bm_ard_3-2-1_52HBK_2022-06-10_final
2022-08-28 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2022-08-28_final
2022-09-03 13:31:40	ga_s2bm_ard_3-2-1_47LKG_2022-09-03_interim.stac-item
2022-09-04 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2022-09-04_final.stac-item
2022-09-04 11:24:46	ga_s2bm_ard_3-2-1_51JWM_2022-09-04_final.stac-item
2022-09-24 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2022-09-24_final.stac-item
2022-10-13 11:54:12	ga_s2bm_ard_3-2-1_50KQU_2022-10-13_final.stac-item
2022-10-21 11:14:08	ga_s2bm_ard_3-2-1_52KBU_2022-10-21_final.stac-item
2022-11-12 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2022-11-12_final.stac-item
2023-01-22 11:21:23	ga_s2bm_ard_3-2-1_51LZE_2023-01-22_final.stac-item
2023-03-30 11:14:12	ga_s2bm_ard_3-2-1_52KBU_2023-03-30_final.stac-item
2023-05-08 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2023-05-08_final.stac-item
2023-05-22 11:24:16	ga_s2bm_ard_3-2-1_51KXP_2023-05-22_final.stac-item
2023-06-18 11:14:34	ga_s2bm_ard_3-2-1_51JYN_2023-06-18_final.stac-item
2023-07-04 11:33:07	ga_s2bm_ard_3-2-1_51KYT_2023-07-04_final.stac-item
2023-08-23 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2023-08-23_final.stac-item
2023-09-08 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2023-09-08_final.stac-item
2023-10-29 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2023-10-29_final.stac-item
2023-11-01 11:33:11	ga_s2bm_ard_3-2-1_51KXT_2023-11-01_final.stac-item
2023-11-11 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2023-11-11_final.stac-item
2023-11-21 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2023-11-21_final.stac-item
2023-12-01 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2023-12-01_final.stac-item
2024-02-24 10:45:47	ga_s2bm_ard_3-2-1_52JGM_2024-02-24_final.stac-item
2024-02-25 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2024-02-25_final.stac-item
2024-03-04 11:14:34	ga_s2bm_ard_3-2-1_51JZM_2024-03-04_final.stac-item
2024-03-14 12:50:57	ga_s2bm_ard_3-2-1_48LWP_2024-03-14_final.stac-item
2024-03-18 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2024-03-18_final.stac-item
2024-04-09 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2024-04-09_final.stac-item
2024-04-13 11:15:43	ga_s2bm_ard_3-2-1_51JXH_2024-04-13_final.stac-item
2024-05-06 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2024-05-06_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years