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
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JWK_2017-10-13_final
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_50KKB_2018-01-13_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51JTL_2018-02-03_final
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51HWD_2018-02-04_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-02-09_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JPL_2018-03-05_final
2018-04-25 11:14:42	ga_s2bm_ard_3-2-1_51HWC_2018-04-25_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_50HPJ_2018-05-21_final
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KVS_2018-05-24_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGJ_2018-05-30_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HMJ_2018-06-03_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JNL_2018-06-06_final
2018-06-24 11:14:42	ga_s2bm_ard_3-2-1_51JYG_2018-06-24_final
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KVT_2018-07-03_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51KUV_2018-07-23_final
2018-12-03 11:53:34	ga_s2bm_ard_3-2-1_50KNB_2018-12-03_final
2018-12-07 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2018-12-07_final
2018-12-13 11:56:33	ga_s2bm_ard_3-2-1_50HLK_2018-12-13_final
2018-12-20 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2018-12-20_final
2019-02-07 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-02-07_final
2019-02-15 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2019-02-15_final
2019-02-21 11:53:35	ga_s2bm_ard_3-2-1_50KPB_2019-02-21_final
2019-02-28 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2019-02-28_final
2019-03-16 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2019-03-16_final
2019-04-19 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2019-04-19_final
2019-07-11 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-07-11_final
2019-08-31 11:26:39	ga_s2bm_ard_3-2-1_51HXD_2019-08-31_final
2019-09-03 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2019-09-03_final
2019-11-15 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2019-11-15_final
2019-12-19 11:24:50	ga_s2bm_ard_3-2-1_51JXL_2019-12-19_final
2019-12-22 11:36:56	ga_s2bm_ard_3-2-1_51HTC_2019-12-22_final
2020-01-14 11:43:12	ga_s2bm_ard_3-2-1_51KTT_2020-01-14_final
2020-01-14 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2020-01-14_final
2020-02-09 12:03:32	ga_s2bm_ard_3-2-1_50KMB_2020-02-09_final
2020-02-12 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-02-12_final
2020-03-11 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2020-03-11_final
2020-04-03 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2020-04-03_final
2020-04-13 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2020-04-13_final
2020-05-03 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2020-05-03_final
2020-05-20 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2020-05-20_final
2020-05-20 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2020-05-20_final
2020-05-29 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2020-05-29_final
2020-06-02 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2020-06-02_final
2020-06-09 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2020-06-09_final
2020-06-12 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2020-06-12_final
2020-06-19 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2020-06-19_final
2020-09-16 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2020-09-16_final
2020-09-27 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2020-09-27_final
2020-09-30 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2020-09-30_final
2020-10-07 11:34:18	ga_s2bm_ard_3-2-1_51KVP_2020-10-07_final
2020-12-19 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2020-12-19_final
2020-12-26 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2020-12-26_final
2021-01-15 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2021-01-15_final
2021-01-25 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2021-01-25_final
2021-01-29 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2021-01-29_final
2021-02-04 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2021-02-04_final
2021-02-14 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2021-02-14_final
2021-02-24 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2021-02-24_final
2021-02-26 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-02-26_final
2021-04-04 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2021-04-04_final
2021-04-08 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2021-04-08_final
2021-05-05 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2021-05-05_final
2021-06-23 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-06-23_final
2021-07-04 11:36:04	ga_s2bm_ard_3-2-1_51JTG_2021-07-04_final
2021-07-24 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2021-07-24_final
2021-09-05 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2021-09-05_final
2021-09-05 11:43:26	ga_s2bm_ard_3-2-1_51KUS_2021-09-05_final
2021-09-08 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2021-09-08_final
2021-09-15 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2021-09-15_final
2021-11-13 12:13:39	ga_s2bm_ard_3-2-1_50KKB_2021-11-13_final
2021-11-27 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-11-27_final
2021-12-27 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2021-12-27_final
2022-01-23 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2022-01-23_final
2022-01-27 11:25:03	ga_s2bm_ard_3-2-1_51JXK_2022-01-27_final
2022-02-09 11:32:23	ga_s2bm_ard_3-2-1_51KWA_2022-02-09_final
2022-02-12 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-02-12_final
2022-04-02 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2022-04-02_final
2022-06-18 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2022-06-18_final
2022-09-27 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2022-09-27_final.stac-item
2022-11-06 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2022-11-06_final.stac-item
2022-11-09 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2022-11-09_final.stac-item
2022-11-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-11-25_final.stac-item
2022-11-29 11:43:20	ga_s2bm_ard_3-2-1_50KQC_2022-11-29_final.stac-item
2022-12-15 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-12-15_final.stac-item
2022-12-25 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2022-12-25_final.stac-item
2022-12-29 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2022-12-29_final.stac-item
2023-03-13 11:26:01	ga_s2bm_ard_3-2-1_51JWG_2023-03-13_final.stac-item
2023-04-25 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2023-04-25_final.stac-item
2023-06-04 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2023-06-04_final.stac-item
2023-06-21 11:26:30	ga_s2bm_ard_3-2-1_51HWE_2023-06-21_final.stac-item
2023-07-11 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2023-07-11_final.stac-item
2023-07-26 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2023-07-26_final.stac-item
2023-09-12 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2023-09-12_final.stac-item
2023-10-01 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-10-01_final.stac-item
2023-10-15 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2023-10-15_final.stac-item
2023-10-16 11:16:43	ga_s2bm_ard_3-2-1_51HXD_2023-10-16_final.stac-item
2023-12-14 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2023-12-14_final.stac-item
2023-12-14 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2023-12-14_final.stac-item
2023-12-31 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2023-12-31_final.stac-item
2024-02-22 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2024-02-22_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