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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JML_2017-07-11_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JLN_2017-08-13_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_50KKA_2017-10-05_final
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_50HPH_2017-10-13_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50HLJ_2017-11-08_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HPG_2017-12-12_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMH_2018-01-14_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMH_2018-04-17_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JPP_2018-07-23_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50HQG_2018-08-29_final.stac-item
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_49JGJ_2018-09-27_final
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KHP_2018-10-10_final
2018-11-17 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2018-11-17_final
2018-11-29 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2018-11-29_final
2018-11-30 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2018-11-30_final.stac-item
2018-12-23 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2018-12-23_final
2019-01-25 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2019-01-25_final
2019-03-16 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2019-03-16_final
2019-04-15 12:03:57	ga_s2bm_ard_3-2-1_50KMA_2019-04-15_final
2019-04-19 11:45:38	ga_s2bm_ard_3-2-1_50JQP_2019-04-19_final
2019-04-28 12:14:20	ga_s2bm_ard_3-2-1_49KGQ_2019-04-28_final
2019-06-28 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-06-28_final.stac-item
2019-08-03 12:05:08	ga_s2bm_ard_3-2-1_49JGM_2019-08-03_final
2019-10-05 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-10-05_final
2019-10-13 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2019-10-13_final
2019-11-04 12:13:58	ga_s2bm_ard_3-2-1_49KGR_2019-11-04_final
2019-12-21 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2019-12-21_final
2019-12-22 11:36:15	ga_s2bm_ard_3-2-1_50JQL_2019-12-22_final
2020-01-01 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2020-01-01_final
2020-01-04 11:45:56	ga_s2bm_ard_3-2-1_50JQM_2020-01-04_final
2020-01-07 11:56:09	ga_s2bm_ard_3-2-1_50JKM_2020-01-07_final
2020-01-10 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2020-01-10_final
2020-01-17 11:54:56	ga_s2bm_ard_3-2-1_50JPR_2020-01-17_final
2020-04-16 11:56:21	ga_s2bm_ard_3-2-1_50JLL_2020-04-16_final
2020-04-20 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2020-04-20_final
2020-07-08 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2020-07-08_final
2020-08-31 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-08-31_final
2020-09-06 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-09-06_final
2020-09-26 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2020-09-26_final
2020-09-30 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2020-09-30_final
2020-11-05 12:04:16	ga_s2bm_ard_3-2-1_49KHQ_2020-11-05_final
2020-11-05 12:04:41	ga_s2bm_ard_3-2-1_50JLT_2020-11-05_final
2020-11-12 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2020-11-12_final
2020-11-29 11:46:26	ga_s2bm_ard_3-2-1_50JML_2020-11-29_final
2020-12-06 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2020-12-06_final
2021-01-31 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-01-31_final
2021-02-17 11:46:24	ga_s2bm_ard_3-2-1_50JML_2021-02-17_final
2021-03-25 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2021-03-25_final
2021-05-28 11:46:05	ga_s2bm_ard_3-2-1_50JPM_2021-05-28_final
2021-06-17 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2021-06-17_final
2021-07-13 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2021-07-13_final
2021-07-24 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2021-07-24_final
2021-08-13 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-08-13_final
2021-09-14 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2021-09-14_final
2021-09-25 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2021-09-25_final.stac-item
2021-09-28 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2021-09-28_final
2021-10-08 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2021-10-08_final.stac-item
2021-10-22 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2021-10-22_final
2021-10-31 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-10-31_final
2021-11-20 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2021-11-20_final
2021-11-21 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2021-11-21_final.stac-item
2021-12-23 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2021-12-23_final
2021-12-30 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2021-12-30_final
2022-01-09 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2022-01-09_final
2022-02-21 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-02-21_final
2022-02-21 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2022-02-21_final
2022-03-07 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2022-03-07_final
2022-04-12 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2022-04-12_final
2022-05-19 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2022-05-19_final
2022-06-22 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2022-06-22_final
2022-07-02 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2022-07-02_final
2022-09-07 11:36:21	ga_s2bm_ard_3-2-1_50JQL_2022-09-07_final.stac-item
2022-10-26 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2022-10-26_final.stac-item
2022-11-02 11:55:21	ga_s2bm_ard_3-2-1_50JNQ_2022-11-02_final.stac-item
2022-11-22 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2022-11-22_final.stac-item
2022-12-15 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2022-12-15_final.stac-item
2023-01-24 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2023-01-24_final.stac-item
2023-02-04 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2023-02-04_final.stac-item
2023-02-27 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2023-02-27_final.stac-item
2023-03-08 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2023-03-08_final.stac-item
2023-03-22 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2023-03-22_final.stac-item
2023-03-25 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-03-25_final.stac-item
2023-04-04 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2023-04-04_final.stac-item
2023-04-24 12:04:28	ga_s2bm_ard_3-2-1_50KKU_2023-04-24_final.stac-item
2023-04-28 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-04-28_final.stac-item
2023-05-01 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-05-01_final.stac-item
2023-05-08 11:46:11	ga_s2bm_ard_3-2-1_50JNM_2023-05-08_final.stac-item
2023-05-21 11:56:30	ga_s2bm_ard_3-2-1_50JLL_2023-05-21_final.stac-item
2023-08-12 12:04:33	ga_s2bm_ard_3-2-1_49KHP_2023-08-12_final.stac-item
2023-08-25 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-08-25_final.stac-item
2023-09-01 12:04:18	ga_s2bm_ard_3-2-1_50KKV_2023-09-01_final.stac-item
2023-09-11 12:05:25	ga_s2bm_ard_3-2-1_49JGL_2023-09-11_final.stac-item
2023-09-28 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2023-09-28_final.stac-item
2023-10-25 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2023-10-25_final.stac-item
2023-11-17 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2023-11-17_final.stac-item
2023-12-04 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2023-12-04_final.stac-item
2023-12-10 12:06:00	ga_s2bm_ard_3-2-1_50JLM_2023-12-10_final.stac-item
2024-01-22 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2024-01-22_final.stac-item
2024-02-28 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2024-02-28_final.stac-item
2024-03-03 11:46:19	ga_s2bm_ard_3-2-1_50JNL_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