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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KUV_2017-08-27_final
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50JKP_2017-09-02_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51JWF_2017-11-19_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KPC_2017-11-28_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JNM_2017-12-18_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KRC_2017-12-25_final
2018-02-16 11:50:39	ga_s2bm_ard_3-2-1_50KPC_2018-02-16_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KHQ_2018-03-04_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KUV_2018-04-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KWB_2018-04-14_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLT_2018-04-20_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HNK_2018-06-06_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KYA_2018-07-07_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JQL_2018-07-23_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGM_2018-07-29_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JLQ_2018-08-05_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KVV_2018-08-19_final
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51LXD_2018-09-18_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JWG_2018-10-25_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2018-10-27_final
2019-01-03 11:24:02	ga_s2bm_ard_3-2-1_51KZP_2019-01-03_final
2019-01-29 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2019-01-29_final
2019-04-02 11:52:40	ga_s2bm_ard_3-2-1_50KPF_2019-04-02_final.stac-item
2019-04-29 11:43:43	ga_s2bm_ard_3-2-1_51KVR_2019-04-29_final
2019-08-07 11:42:49	ga_s2bm_ard_3-2-1_51KVV_2019-08-07_final
2019-08-23 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2019-08-23_final
2019-09-12 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2019-09-12_final
2019-09-20 11:23:00	ga_s2bm_ard_3-2-1_51KXU_2019-09-20_final
2019-09-30 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2019-09-30_final
2019-10-05 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2019-10-05_final
2020-01-14 11:41:27	ga_s2bm_ard_3-2-1_51LUE_2020-01-14_final
2020-01-20 12:04:54	ga_s2bm_ard_3-2-1_49JGM_2020-01-20_final
2020-02-17 11:26:43	ga_s2bm_ard_3-2-1_51HUD_2020-02-17_final
2020-03-10 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2020-03-10_final
2020-04-01 11:06:17	ga_s2bm_ard_3-2-1_52HBK_2020-04-01_final
2020-04-13 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2020-04-13_final.stac-item
2020-05-10 11:35:17	ga_s2bm_ard_3-2-1_51JTK_2020-05-10_final
2020-05-13 11:41:32	ga_s2bm_ard_3-2-1_51LUE_2020-05-13_final
2020-05-13 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2020-05-13_final
2020-07-06 11:25:08	ga_s2bm_ard_3-2-1_51JYK_2020-07-06_final
2020-07-09 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2020-07-09_final
2020-07-16 11:22:54	ga_s2bm_ard_3-2-1_51KZU_2020-07-16_final
2020-07-29 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2020-07-29_final.stac-item
2020-08-08 11:34:03	ga_s2bm_ard_3-2-1_51KVQ_2020-08-08_final
2020-08-28 11:34:14	ga_s2bm_ard_3-2-1_51KWP_2020-08-28_final
2020-09-13 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-09-13_final.stac-item
2020-09-20 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2020-09-20_final
2020-09-20 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2020-09-20_final
2020-10-14 11:23:18	ga_s2bm_ard_3-2-1_51KYT_2020-10-14_final
2020-10-14 11:24:41	ga_s2bm_ard_3-2-1_51JYM_2020-10-14_final
2020-11-06 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2020-11-06_final
2020-12-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2020-12-18_final
2021-04-08 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2021-04-08_final.stac-item
2021-04-08 11:43:30	ga_s2bm_ard_3-2-1_51KTS_2021-04-08_final
2021-06-23 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2021-06-23_final
2021-07-07 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2021-07-07_final
2021-08-19 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-08-19_final
2021-09-15 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2021-09-15_final
2021-09-21 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2021-09-21_final
2021-10-22 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-10-22_final
2021-11-04 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2021-11-04_final
2021-11-04 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2021-11-04_final
2021-11-18 11:24:02	ga_s2bm_ard_3-2-1_51KZP_2021-11-18_final
2021-12-21 11:32:17	ga_s2bm_ard_3-2-1_51KYA_2021-12-21_final
2022-01-03 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2022-01-03_final
2022-02-15 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2022-02-15_final
2022-03-15 11:13:35	ga_s2bm_ard_3-2-1_51KZR_2022-03-15_final
2022-04-20 11:32:17	ga_s2bm_ard_3-2-1_51KYA_2022-04-20_final
2022-04-20 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2022-04-20_final
2022-04-24 11:16:14	ga_s2bm_ard_3-2-1_52HBK_2022-04-24_final
2022-08-01 11:43:02	ga_s2bm_ard_3-2-1_51KVU_2022-08-01_final
2022-08-17 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2022-08-17_final
2022-09-23 11:56:23	ga_s2bm_ard_3-2-1_50JML_2022-09-23_final.stac-item
2022-10-04 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2022-10-04_final.stac-item
2022-11-03 11:23:04	ga_s2bm_ard_3-2-1_51KZT_2022-11-03_final.stac-item
2022-11-16 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2022-11-16_final.stac-item
2022-12-19 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-12-19_final.stac-item
2022-12-25 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2022-12-25_final.stac-item
2023-02-14 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2023-02-14_final.stac-item
2023-02-17 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2023-02-17_final.stac-item
2023-02-28 11:14:56	ga_s2bm_ard_3-2-1_51JYL_2023-02-28_final.stac-item
2023-05-24 12:04:18	ga_s2bm_ard_3-2-1_50KKV_2023-05-24_final.stac-item
2023-06-06 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-06-06_final.stac-item
2023-07-14 11:32:52	ga_s2bm_ard_3-2-1_51KWV_2023-07-14_final.stac-item
2023-07-20 11:55:59	ga_s2bm_ard_3-2-1_50JMN_2023-07-20_final.stac-item
2023-08-06 11:43:02	ga_s2bm_ard_3-2-1_51KVU_2023-08-06_final.stac-item
2023-08-10 11:22:58	ga_s2bm_ard_3-2-1_51KZU_2023-08-10_final.stac-item
2023-08-30 11:22:57	ga_s2bm_ard_3-2-1_51KZU_2023-08-30_final.stac-item
2023-09-11 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2023-09-11_final.stac-item
2023-09-28 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-09-28_final.stac-item
2023-09-28 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2023-09-28_final.stac-item
2023-11-08 11:24:39	ga_s2bm_ard_3-2-1_51JYM_2023-11-08_final.stac-item
2023-11-11 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2023-11-11_final.stac-item
2023-12-08 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2023-12-08_final.stac-item
2023-12-20 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2023-12-20_final.stac-item
2023-12-21 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2023-12-21_final.stac-item
2023-12-24 11:44:03	ga_s2bm_ard_3-2-1_51KTQ_2023-12-24_final.stac-item
2024-01-13 11:41:31	ga_s2bm_ard_3-2-1_51LUE_2024-01-13_final.stac-item
2024-02-19 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2024-02-19_final.stac-item
2024-03-03 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2024-03-03_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