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
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HPK_2018-01-14_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51HUD_2018-04-21_final
2018-05-24 11:43:21	ga_s2bm_ard_3-2-1_51KUS_2018-05-24_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49KHP_2018-05-30_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQK_2018-05-31_final
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49KHP_2018-06-02_final
2018-06-07 11:25:26	ga_s2bm_ard_3-2-1_51JVJ_2018-06-07_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KTU_2018-08-02_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JWM_2018-08-29_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HMK_2018-09-11_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNH_2018-09-11_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HQJ_2018-10-21_final
2018-12-10 11:42:07	ga_s2bm_ard_3-2-1_51KVB_2018-12-10_final
2019-01-05 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2019-01-05_final
2019-02-18 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2019-02-18_final
2019-03-13 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2019-03-13_final.stac-item
2019-03-17 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2019-03-17_final
2019-04-26 11:37:10	ga_s2bm_ard_3-2-1_50HQH_2019-04-26_final
2019-05-16 11:36:35	ga_s2bm_ard_3-2-1_50JPL_2019-05-16_final
2019-05-23 11:27:03	ga_s2bm_ard_3-2-1_51HWC_2019-05-23_final.stac-item
2019-07-11 11:53:51	ga_s2bm_ard_3-2-1_50KMB_2019-07-11_final
2019-08-30 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2019-08-30_final
2019-10-05 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2019-10-05_final
2019-10-16 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2019-10-16_final
2019-10-26 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2019-10-26_final
2019-11-02 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-11-02_final
2019-11-09 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2019-11-09_final
2020-01-07 11:56:13	ga_s2bm_ard_3-2-1_50JNL_2020-01-07_final
2020-02-06 11:56:11	ga_s2bm_ard_3-2-1_50JNL_2020-02-06_final
2020-03-08 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2020-03-08_final
2020-03-14 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2020-03-14_final
2020-03-24 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2020-03-24_final
2020-03-28 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2020-03-28_final
2020-03-28 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2020-03-28_final
2020-04-13 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2020-04-13_final
2020-04-17 11:24:32	ga_s2bm_ard_3-2-1_51JYM_2020-04-17_final
2020-04-26 11:55:22	ga_s2bm_ard_3-2-1_50JLQ_2020-04-26_final
2020-05-24 11:14:33	ga_s2bm_ard_3-2-1_51JZM_2020-05-24_final
2020-06-02 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2020-06-02_final
2020-06-09 11:34:27	ga_s2bm_ard_3-2-1_51JWN_2020-06-09_final
2020-07-28 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2020-07-28_final
2020-10-27 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2020-10-27_final
2020-12-12 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2020-12-12_final
2021-03-02 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-03-02_final
2021-04-11 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-04-11_final
2021-04-15 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2021-04-15_final
2021-04-28 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2021-04-28_final
2021-04-28 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2021-04-28_final
2021-05-08 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2021-05-08_final
2021-05-24 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2021-05-24_final
2021-06-03 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2021-06-03_final
2021-06-17 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2021-06-17_final
2021-06-24 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-06-24_final
2021-06-27 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-06-27_final
2021-07-21 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2021-07-21_final
2021-07-21 11:25:12	ga_s2bm_ard_3-2-1_51JXK_2021-07-21_final
2021-07-21 11:26:34	ga_s2bm_ard_3-2-1_51HUE_2021-07-21_final
2021-07-30 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2021-07-30_final
2021-12-10 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2021-12-10_final
2022-01-13 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2022-01-13_final
2022-02-12 11:42:58	ga_s2bm_ard_3-2-1_50KRD_2022-02-12_final
2022-03-24 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2022-03-24_final
2022-03-24 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2022-03-24_final
2022-03-30 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2022-03-30_final
2022-05-03 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2022-05-03_final
2022-05-13 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-05-13_final
2022-06-02 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2022-06-02_final
2022-06-28 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2022-06-28_final
2022-08-05 11:24:56	ga_s2bm_ard_3-2-1_51JYL_2022-08-05_final
2022-08-18 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2022-08-18_final
2022-08-25 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2022-08-25_final
2022-08-31 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2022-08-31_final
2022-09-06 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2022-09-06_final.stac-item
2022-09-11 11:16:43	ga_s2bm_ard_3-2-1_51HXD_2022-09-11_final.stac-item
2022-09-13 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2022-09-13_final.stac-item
2022-10-09 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2022-10-09_final.stac-item
2022-10-11 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2022-10-11_final.stac-item
2022-11-19 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2022-11-19_final.stac-item
2022-11-29 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2022-11-29_final.stac-item
2022-12-16 11:36:22	ga_s2bm_ard_3-2-1_51HVE_2022-12-16_final.stac-item
2023-02-13 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2023-02-13_final.stac-item
2023-02-27 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2023-02-27_final.stac-item
2023-03-09 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2023-03-09_final.stac-item
2023-04-05 11:37:29	ga_s2bm_ard_3-2-1_50HNG_2023-04-05_final.stac-item
2023-04-28 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2023-04-28_final.stac-item
2023-06-14 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2023-06-14_final.stac-item
2023-07-11 11:26:02	ga_s2bm_ard_3-2-1_51JWG_2023-07-11_final.stac-item
2023-10-01 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-10-01_final.stac-item
2023-11-03 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2023-11-03_final.stac-item
2023-11-04 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2023-11-04_final.stac-item
2023-11-23 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2023-11-23_final.stac-item
2023-12-04 11:42:28	ga_s2bm_ard_3-2-1_51KUA_2023-12-04_final.stac-item
2023-12-14 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2023-12-14_final.stac-item
2024-02-02 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2024-02-02_final.stac-item
2024-02-18 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2024-02-18_final.stac-item
2024-02-25 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2024-02-25_final.stac-item
2024-03-27 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2024-03-27_final.stac-item
2024-03-29 12:03:20	ga_s2bm_ard_3-2-1_50KNC_2024-03-29_final.stac-item
2024-04-05 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-04-05_final.stac-item
2024-04-22 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2024-04-22_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