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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KVS_2017-07-18_final
2017-08-07 11:38:33	ga_s2bm_ard_3-2-1_51KWB_2017-08-07_final
2017-08-14 11:28:34	ga_s2bm_ard_3-2-1_51KUT_2017-08-14_final
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50JML_2017-08-30_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HMG_2017-09-16_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51KUV_2017-10-06_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KUU_2017-12-05_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KUT_2018-01-24_final
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51KVA_2018-05-14_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMH_2018-05-24_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQH_2018-05-31_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HPH_2018-06-20_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KWR_2018-07-10_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGM_2018-07-19_final
2018-08-18 12:02:43	ga_s2bm_ard_3-2-1_50KLB_2018-08-18_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HNK_2018-09-11_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KVT_2018-09-21_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KTU_2018-10-31_final
2018-12-26 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2018-12-26_final
2019-01-09 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2019-01-09_final
2019-01-12 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2019-01-12_final.stac-item
2019-02-05 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2019-02-05_final
2019-03-14 11:24:16	ga_s2bm_ard_3-2-1_51JZN_2019-03-14_final
2019-05-05 12:06:15	ga_s2bm_ard_3-2-1_50JLM_2019-05-05_final
2019-05-22 11:57:32	ga_s2bm_ard_3-2-1_50HLG_2019-05-22_final.stac-item
2019-05-29 11:42:54	ga_s2bm_ard_3-2-1_51KUV_2019-05-29_final
2019-07-12 11:26:45	ga_s2bm_ard_3-2-1_51HXD_2019-07-12_final
2019-08-30 11:53:35	ga_s2bm_ard_3-2-1_50KMC_2019-08-30_final
2019-09-16 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2019-09-16_final
2019-12-25 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2019-12-25_final
2020-01-07 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2020-01-07_final
2020-02-06 11:53:05	ga_s2bm_ard_3-2-1_50KRC_2020-02-06_final
2020-02-07 11:26:56	ga_s2bm_ard_3-2-1_51HUC_2020-02-07_final
2020-02-19 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2020-02-19_final
2020-03-20 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2020-03-20_final
2020-04-23 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2020-04-23_final
2020-05-23 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2020-05-23_final.stac-item
2020-05-26 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2020-05-26_final
2020-05-26 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2020-05-26_final
2020-06-18 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-06-18_final
2020-07-29 11:34:17	ga_s2bm_ard_3-2-1_51KVP_2020-07-29_final
2020-09-30 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2020-09-30_final
2020-11-02 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2020-11-02_final
2021-01-08 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2021-01-08_final
2021-01-15 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2021-01-15_final
2021-02-27 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2021-02-27_final
2021-02-27 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-02-27_final
2021-03-29 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2021-03-29_final
2021-03-29 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-03-29_final
2021-03-29 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2021-03-29_final
2021-03-29 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-03-29_final
2021-04-18 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2021-04-18_final
2021-04-28 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2021-04-28_final
2021-05-11 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-05-11_final
2021-06-13 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-06-13_final
2021-07-10 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2021-07-10_final.stac-item
2021-07-13 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-07-13_final
2021-07-14 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-07-14_final
2021-07-27 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2021-07-27_final
2021-07-31 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2021-07-31_final
2021-08-03 11:32:16	ga_s2bm_ard_3-2-1_51KWB_2021-08-03_final
2021-08-06 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2021-08-06_final
2021-08-22 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2021-08-22_final
2021-09-01 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2021-09-01_final
2021-09-02 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2021-09-02_final
2021-10-02 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-10-02_final
2021-11-07 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-11-07_final
2021-11-10 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-11-10_final
2022-02-05 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2022-02-05_final
2022-02-11 12:14:39	ga_s2bm_ard_3-2-1_49JFN_2022-02-11_final
2022-02-19 11:32:55	ga_s2bm_ard_3-2-1_51KVU_2022-02-19_final
2022-03-21 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2022-03-21_final
2022-04-10 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2022-04-10_final
2022-05-20 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2022-05-20_final
2022-05-20 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2022-05-20_final
2022-06-09 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2022-06-09_final
2022-06-16 11:24:26	ga_s2bm_ard_3-2-1_51JYN_2022-06-16_final
2022-06-25 11:53:15	ga_s2bm_ard_3-2-1_50KRC_2022-06-25_final
2022-06-29 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2022-06-29_final
2022-08-21 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2022-08-21_final
2022-08-25 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2022-08-25_final
2022-11-06 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2022-11-06_final.stac-item
2023-01-31 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2023-01-31_final.stac-item
2023-03-05 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-03-05_final.stac-item
2023-03-19 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2023-03-19_final.stac-item
2023-04-05 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2023-04-05_final.stac-item
2023-04-15 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2023-04-15_final.stac-item
2023-04-18 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2023-04-18_final.stac-item
2023-06-04 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2023-06-04_final.stac-item
2023-08-26 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2023-08-26_final.stac-item
2023-09-15 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2023-09-15_final.stac-item
2023-10-24 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2023-10-24_final.stac-item
2023-10-29 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2023-10-29_final.stac-item
2023-11-07 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2023-11-07_final.stac-item
2023-11-07 11:53:27	ga_s2bm_ard_3-2-1_50KNC_2023-11-07_final.stac-item
2023-11-07 11:53:33	ga_s2bm_ard_3-2-1_50KMC_2023-11-07_final.stac-item
2023-11-24 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2023-11-24_final.stac-item
2023-12-24 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2023-12-24_final.stac-item
2024-02-05 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2024-02-05_final.stac-item
2024-02-15 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2024-02-15_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