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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2017-08-13_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KUP_2017-11-22_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KVQ_2017-11-22_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KUR_2017-12-12_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KUS_2017-12-12_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KTU_2017-12-15_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JPS_2017-12-18_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JPT_2017-12-18_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JWN_2017-12-19_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JYL_2017-12-19_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KVR_2017-12-22_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KVS_2017-12-25_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KVS_2018-01-01_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMH_2018-01-14_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KVU_2018-02-10_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KVT_2018-03-02_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KTU_2018-03-05_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KVT_2018-04-01_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQG_2018-04-21_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KVT_2018-05-11_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KVR_2018-10-21_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUV_2018-10-31_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KVR_2018-10-31_final
2018-11-07 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2018-11-07_final
2018-11-17 11:34:00	ga_s2bm_ard_3-2-1_51KUQ_2018-11-17_final
2018-11-20 11:43:33	ga_s2bm_ard_3-2-1_51KVR_2018-11-20_final
2018-11-24 11:24:29	ga_s2bm_ard_3-2-1_51JZM_2018-11-24_final
2018-12-07 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2018-12-07_final.stac-item
2018-12-13 11:53:04	ga_s2bm_ard_3-2-1_50KRC_2018-12-13_final
2018-12-19 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2018-12-19_final
2018-12-27 11:34:25	ga_s2bm_ard_3-2-1_51JVN_2018-12-27_final
2019-01-02 11:54:21	ga_s2bm_ard_3-2-1_50JQT_2019-01-02_final
2019-01-09 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2019-01-09_final
2019-01-16 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2019-01-16_final
2019-01-26 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2019-01-26_final
2019-07-15 11:33:39	ga_s2bm_ard_3-2-1_51KVS_2019-07-15_final
2019-10-16 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2019-10-16_final
2019-10-26 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2019-10-26_final
2019-10-26 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2019-10-26_final
2019-10-29 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2019-10-29_final
2019-12-15 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2019-12-15_final
2019-12-22 11:33:55	ga_s2bm_ard_3-2-1_51KVQ_2019-12-22_final
2020-01-04 11:44:26	ga_s2bm_ard_3-2-1_51JTN_2020-01-04_final
2020-01-24 11:43:22	ga_s2bm_ard_3-2-1_51KUS_2020-01-24_final
2020-03-01 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2020-03-01_final
2020-03-11 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2020-03-11_final
2020-06-22 11:42:19	ga_s2bm_ard_3-2-1_51KUB_2020-06-22_final.stac-item
2020-10-07 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2020-10-07_final
2020-10-10 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2020-10-10_final
2020-10-20 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2020-10-20_final
2020-10-27 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2020-10-27_final
2020-10-27 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2020-10-27_final.stac-item
2020-11-09 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2020-11-09_final
2020-11-09 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2020-11-09_final
2020-12-16 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2020-12-16_final
2021-01-18 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2021-01-18_final
2021-02-24 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2021-02-24_final
2021-03-09 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-03-09_final
2021-05-04 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2021-05-04_final
2021-05-08 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2021-05-08_final
2021-08-13 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-08-13_final.stac-item
2021-08-16 11:43:36	ga_s2bm_ard_3-2-1_51KVR_2021-08-16_final
2021-09-22 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2021-09-22_final.stac-item
2021-10-24 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-10-24_final
2021-10-25 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2021-10-25_final
2021-11-11 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-11-11_final
2021-11-21 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2021-11-21_final
2021-11-28 11:25:01	ga_s2bm_ard_3-2-1_51JYK_2021-11-28_final
2021-12-01 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2021-12-01_final
2022-01-10 11:35:12	ga_s2bm_ard_3-2-1_51JVJ_2022-01-10_final
2022-01-13 11:43:52	ga_s2bm_ard_3-2-1_50KQV_2022-01-13_final
2022-01-30 11:34:11	ga_s2bm_ard_3-2-1_51KUP_2022-01-30_final
2022-02-09 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2022-02-09_final
2022-07-19 11:33:27	ga_s2bm_ard_3-2-1_51KUT_2022-07-19_final
2022-09-10 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2022-09-10_final.stac-item
2022-11-06 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2022-11-06_final.stac-item
2022-11-16 11:34:36	ga_s2bm_ard_3-2-1_51JTN_2022-11-16_final.stac-item
2022-11-26 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-11-26_final.stac-item
2022-11-29 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2022-11-29_final.stac-item
2022-12-09 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-12-09_final.stac-item
2023-01-15 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2023-01-15_final.stac-item
2023-01-25 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2023-01-25_final.stac-item
2023-01-29 11:15:08	ga_s2bm_ard_3-2-1_51JYK_2023-01-29_final.stac-item
2023-02-04 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2023-02-04_final.stac-item
2023-02-07 11:44:11	ga_s2bm_ard_3-2-1_51KUP_2023-02-07_final.stac-item
2023-03-09 11:43:22	ga_s2bm_ard_3-2-1_51KTT_2023-03-09_final.stac-item
2023-03-09 11:44:42	ga_s2bm_ard_3-2-1_51JUM_2023-03-09_final.stac-item
2023-03-26 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2023-03-26_final.stac-item
2023-05-01 11:53:55	ga_s2bm_ard_3-2-1_50KQA_2023-05-01_final.stac-item
2023-05-28 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2023-05-28_final.stac-item
2023-06-14 11:33:35	ga_s2bm_ard_3-2-1_51KVS_2023-06-14_final.stac-item
2023-07-04 11:37:23	ga_s2bm_ard_3-2-1_50HQG_2023-07-04_final.stac-item
2023-07-17 11:42:33	ga_s2bm_ard_3-2-1_51KVA_2023-07-17_final.stac-item
2023-08-16 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2023-08-16_final.stac-item
2023-09-25 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2023-09-25_final.stac-item
2023-10-22 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2023-10-22_final.stac-item
2023-11-28 11:24:33	ga_s2bm_ard_3-2-1_51JYM_2023-11-28_final.stac-item
2023-12-01 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2023-12-01_final.stac-item
2024-01-30 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2024-01-30_final.stac-item
2024-03-09 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2024-03-09_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