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
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JML_2017-09-09_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JGL_2017-10-22_final
2017-10-30 11:25:33	ga_s2bm_ard_3-2-1_51HUC_2017-10-30_final
2017-12-02 11:34:20	ga_s2bm_ard_3-2-1_50JQN_2017-12-02_final
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50JLL_2017-12-18_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50HQK_2018-01-31_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JMN_2018-02-06_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JNQ_2018-02-06_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50KNC_2018-03-11_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_50KKA_2018-04-03_final
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HLH_2018-04-14_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JML_2018-04-17_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50JQL_2018-05-14_final
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50KKA_2018-06-09_final
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HMH_2018-06-23_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JKN_2018-07-09_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNK_2018-08-02_final
2018-09-24 11:45:54	ga_s2bm_ard_3-2-1_50KQG_2018-09-24_final.stac-item
2018-11-10 11:43:48	ga_s2bm_ard_3-2-1_50KQA_2018-11-10_final
2018-11-17 11:36:40	ga_s2bm_ard_3-2-1_51HUD_2018-11-17_final
2018-11-23 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2018-11-23_final
2018-12-26 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2018-12-26_final
2019-01-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2019-01-08_final
2019-01-13 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2019-01-13_final
2019-02-27 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2019-02-27_final
2019-05-03 11:26:55	ga_s2bm_ard_3-2-1_51HUD_2019-05-03_final
2019-05-12 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-05-12_final
2019-05-15 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2019-05-15_final
2019-05-22 11:55:55	ga_s2bm_ard_3-2-1_50JKP_2019-05-22_final
2019-06-25 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-06-25_final
2019-07-11 11:56:16	ga_s2bm_ard_3-2-1_50JMM_2019-07-11_final
2019-10-06 11:46:31	ga_s2bm_ard_3-2-1_50HQK_2019-10-06_final
2019-10-12 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2019-10-12_final
2019-11-24 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2019-11-24_final
2019-12-11 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2019-12-11_final
2020-01-01 11:36:15	ga_s2bm_ard_3-2-1_50JQL_2020-01-01_final
2020-01-01 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2020-01-01_final
2020-01-13 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2020-01-13_final
2020-01-14 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2020-01-14_final
2020-01-21 11:36:22	ga_s2bm_ard_3-2-1_51HUE_2020-01-21_final
2020-02-09 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2020-02-09_final
2020-02-09 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2020-02-09_final
2020-02-17 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2020-02-17_final
2020-02-22 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2020-02-22_final
2020-07-02 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2020-07-02_final.stac-item
2020-08-07 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-08-07_final
2020-08-24 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2020-08-24_final
2020-10-07 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2020-10-07_final
2020-10-10 11:46:23	ga_s2bm_ard_3-2-1_50JPL_2020-10-10_final
2020-11-15 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2020-11-15_final
2020-12-22 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2020-12-22_final
2021-01-04 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2021-01-04_final
2021-02-17 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2021-02-17_final
2021-02-27 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-02-27_final
2021-03-08 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-03-08_final
2021-03-26 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-03-26_final
2021-04-25 11:36:37	ga_s2bm_ard_3-2-1_51HUD_2021-04-25_final
2021-05-14 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-05-14_final
2021-05-28 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-05-28_final
2021-06-17 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-06-17_final
2021-06-23 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2021-06-23_final
2021-06-30 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-06-30_final
2021-07-04 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2021-07-04_final
2021-07-17 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2021-07-17_final
2021-07-30 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2021-07-30_final
2021-09-05 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2021-09-05_final
2021-09-08 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2021-09-08_final
2021-09-12 11:36:16	ga_s2bm_ard_3-2-1_50JQL_2021-09-12_final
2021-09-15 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2021-09-15_final
2022-03-14 11:44:43	ga_s2bm_ard_3-2-1_50JRS_2022-03-14_final
2022-03-30 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-03-30_final
2022-03-31 11:36:16	ga_s2bm_ard_3-2-1_50JQL_2022-03-31_final
2022-04-09 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2022-04-09_final
2022-04-23 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2022-04-23_final
2022-04-23 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2022-04-23_final
2022-04-26 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2022-04-26_final
2022-06-22 11:44:35	ga_s2bm_ard_3-2-1_50JRT_2022-06-22_final
2022-06-29 11:36:25	ga_s2bm_ard_3-2-1_50JQL_2022-06-29_final
2022-07-28 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2022-07-28_final
2022-08-14 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2022-08-14_final.stac-item
2022-08-15 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2022-08-15_final
2022-08-20 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2022-08-20_final
2022-11-22 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2022-11-22_final.stac-item
2022-12-02 11:52:32	ga_s2bm_ard_3-2-1_50KQF_2022-12-02_final.stac-item
2022-12-22 11:53:16	ga_s2bm_ard_3-2-1_50KQC_2022-12-22_final.stac-item
2023-02-07 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2023-02-07_final.stac-item
2023-02-16 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2023-02-16_final.stac-item
2023-03-28 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-03-28_final.stac-item
2023-04-14 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2023-04-14_final.stac-item
2023-04-15 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-04-15_final.stac-item
2023-05-05 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2023-05-05_final.stac-item
2023-07-30 11:57:15	ga_s2bm_ard_3-2-1_50HLH_2023-07-30_final.stac-item
2023-08-19 11:53:16	ga_s2bm_ard_3-2-1_50KRC_2023-08-19_final.stac-item
2023-09-05 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2023-09-05_final.stac-item
2023-09-28 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2023-09-28_final.stac-item
2023-11-10 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-11-10_final.stac-item
2023-11-30 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-11-30_final.stac-item
2024-01-13 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2024-01-13_final.stac-item
2024-02-22 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-02-22_final.stac-item
2024-04-08 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-04-08_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