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
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51HWC_2017-11-09_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50KKU_2017-11-21_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JVM_2017-12-12_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HQJ_2017-12-15_final
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_51KZU_2018-01-08_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50KKB_2018-03-11_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50JQL_2018-03-22_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50KKB_2018-05-20_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JLM_2018-06-06_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KUS_2018-06-20_final
2018-06-30 11:27:56	ga_s2bm_ard_3-2-1_51LWC_2018-06-30_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HLJ_2018-08-25_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JKN_2018-10-17_final
2019-02-24 12:03:37	ga_s2bm_ard_3-2-1_50KMB_2019-02-24_final
2019-04-13 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2019-04-13_final
2019-04-25 12:03:51	ga_s2bm_ard_3-2-1_50KKB_2019-04-25_final
2019-07-14 12:03:53	ga_s2bm_ard_3-2-1_50KKB_2019-07-14_final
2019-07-24 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-07-24_final
2019-08-14 11:32:18	ga_s2bm_ard_3-2-1_51KXB_2019-08-14_final
2019-10-30 11:25:57	ga_s2bm_ard_3-2-1_51JWG_2019-10-30_final
2019-11-05 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2019-11-05_final
2019-11-16 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2019-11-16_final
2019-11-21 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2019-11-21_final
2019-12-15 11:46:12	ga_s2bm_ard_3-2-1_50JPL_2019-12-15_final
2019-12-16 11:14:59	ga_s2bm_ard_3-2-1_52JCQ_2019-12-16_final
2019-12-22 11:31:12	ga_s2bm_ard_3-2-1_51LZE_2019-12-22_final
2020-02-29 12:03:41	ga_s2bm_ard_3-2-1_50KKB_2020-02-29_final
2020-03-27 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2020-03-27_final
2020-04-09 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2020-04-09_final
2020-04-11 11:05:05	ga_s2bm_ard_3-2-1_52JCQ_2020-04-11_final
2020-05-14 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2020-05-14_final
2020-05-26 11:56:27	ga_s2bm_ard_3-2-1_50JML_2020-05-26_final
2020-06-29 11:34:16	ga_s2bm_ard_3-2-1_51KVP_2020-06-29_final
2020-09-24 11:22:55	ga_s2bm_ard_3-2-1_51KZU_2020-09-24_final
2020-09-28 11:06:01	ga_s2bm_ard_3-2-1_52JBM_2020-09-28_final
2020-10-07 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2020-10-07_final
2020-12-12 11:53:43	ga_s2bm_ard_3-2-1_50KQA_2020-12-12_final
2021-01-09 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2021-01-09_final
2021-02-21 11:23:19	ga_s2bm_ard_3-2-1_51KZS_2021-02-21_final
2021-03-09 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2021-03-09_final
2021-04-08 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2021-04-08_final
2021-04-15 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2021-04-15_final.stac-item
2021-05-22 11:24:19	ga_s2bm_ard_3-2-1_52JBT_2021-05-22_final
2021-06-17 11:40:58	ga_s2bm_ard_3-2-1_51LWG_2021-06-17_final.stac-item
2021-07-23 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2021-07-23_final
2021-08-04 11:06:19	ga_s2bm_ard_3-2-1_52HDK_2021-08-04_final.stac-item
2021-10-08 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-08_final
2021-10-26 11:16:42	ga_s2bm_ard_3-2-1_51HXD_2021-10-26_final
2021-10-28 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-28_final
2021-10-31 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-10-31_final
2021-11-03 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2021-11-03_final
2021-12-18 11:23:29	ga_s2bm_ard_3-2-1_51KZR_2021-12-18_final
2021-12-21 11:36:12	ga_s2bm_ard_3-2-1_51JUF_2021-12-21_final
2021-12-27 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2021-12-27_final
2021-12-30 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2021-12-30_final
2021-12-31 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2021-12-31_final
2021-12-31 11:35:00	ga_s2bm_ard_3-2-1_51JTL_2021-12-31_final
2022-01-10 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2022-01-10_final
2022-01-20 11:34:09	ga_s2bm_ard_3-2-1_51KVP_2022-01-20_final
2022-01-27 11:23:58	ga_s2bm_ard_3-2-1_51KZP_2022-01-27_final
2022-01-30 11:36:42	ga_s2bm_ard_3-2-1_50HQJ_2022-01-30_final
2022-02-09 11:31:51	ga_s2bm_ard_3-2-1_51LXC_2022-02-09_final
2022-02-19 11:31:50	ga_s2bm_ard_3-2-1_51LXC_2022-02-19_final
2022-04-14 11:13:25	ga_s2bm_ard_3-2-1_51KZS_2022-04-14_final
2022-05-09 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-05-09_final
2022-06-15 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2022-06-15_final
2022-07-02 11:43:49	ga_s2bm_ard_3-2-1_51KUR_2022-07-02_final
2022-08-08 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2022-08-08_final
2022-09-10 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2022-09-10_final.stac-item
2022-09-26 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2022-09-26_final.stac-item
2022-10-17 11:31:41	ga_s2bm_ard_3-2-1_51LXD_2022-10-17_final.stac-item
2022-10-21 11:15:21	ga_s2bm_ard_3-2-1_52JBP_2022-10-21_final.stac-item
2022-11-06 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2022-11-06_final.stac-item
2022-11-19 11:43:47	ga_s2bm_ard_3-2-1_50KRA_2022-11-19_final.stac-item
2022-12-05 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2022-12-05_final.stac-item
2022-12-08 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2022-12-08_final.stac-item
2023-03-09 11:44:02	ga_s2bm_ard_3-2-1_51KUQ_2023-03-09_final.stac-item
2023-04-09 11:14:55	ga_s2bm_ard_3-2-1_52JBR_2023-04-09_final.stac-item
2023-04-18 11:46:17	ga_s2bm_ard_3-2-1_50JQL_2023-04-18_final.stac-item
2023-05-05 11:32:53	ga_s2bm_ard_3-2-1_51KYU_2023-05-05_final.stac-item
2023-05-15 11:34:18	ga_s2bm_ard_3-2-1_51KVP_2023-05-15_final.stac-item
2023-05-18 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-05-18_final.stac-item
2023-05-19 11:14:25	ga_s2bm_ard_3-2-1_52JCT_2023-05-19_final.stac-item
2023-08-06 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-08-06_final.stac-item
2023-08-12 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-08-12_final.stac-item
2023-08-25 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2023-08-25_final.stac-item
2023-09-05 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-09-05_final.stac-item
2023-09-24 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2023-09-24_final.stac-item
2023-10-02 11:34:17	ga_s2bm_ard_3-2-1_51JXN_2023-10-02_final.stac-item
2023-10-05 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2023-10-05_final.stac-item
2023-11-13 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2023-11-13_final.stac-item
2023-12-08 11:21:37	ga_s2bm_ard_3-2-1_51LZD_2023-12-08_final.stac-item
2023-12-18 11:23:54	ga_s2bm_ard_3-2-1_51KYQ_2023-12-18_final.stac-item
2024-01-03 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2024-01-03_final.stac-item
2024-01-24 11:14:37	ga_s2bm_ard_3-2-1_51JZM_2024-01-24_final.stac-item
2024-02-23 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2024-02-23_final.stac-item
2024-03-03 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2024-03-03_final.stac-item
2024-03-20 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2024-03-20_final.stac-item
2024-04-22 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2024-04-22_final.stac-item
2024-05-19 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2024-05-19_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