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
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_51JUH_2017-08-14_final
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52JBP_2017-08-28_final
2017-09-07 11:12:07	ga_s2bm_ard_3-2-1_52KCD_2017-09-07_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51HUC_2017-09-30_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51JXK_2017-11-09_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50JQL_2018-01-14_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50HMJ_2018-01-17_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JNL_2018-01-17_final
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51HXE_2018-02-04_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KVQ_2018-02-20_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_52JCL_2018-02-24_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50HPJ_2018-06-10_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50HMK_2018-06-26_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51HVD_2018-07-07_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGK_2018-08-08_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51HTD_2018-08-29_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51HVC_2018-09-25_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JYH_2018-10-05_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_50HQK_2018-10-08_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HVE_2018-10-15_final
2018-10-24 11:43:41	ga_s2bm_ard_3-2-1_50KPC_2018-10-24_final
2018-11-10 11:44:57	ga_s2bm_ard_3-2-1_51JTL_2018-11-10_final
2018-11-10 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2018-11-10_final
2019-01-03 11:23:19	ga_s2bm_ard_3-2-1_51KZS_2019-01-03_final
2019-02-22 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2019-02-22_final
2019-02-27 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2019-02-27_final
2019-03-16 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2019-03-16_final
2019-04-06 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2019-04-06_final
2019-05-06 11:33:03	ga_s2bm_ard_3-2-1_51KXU_2019-05-06_final
2019-06-14 12:05:08	ga_s2bm_ard_3-2-1_49JGM_2019-06-14_final
2019-07-12 11:23:12	ga_s2bm_ard_3-2-1_52KCC_2019-07-12_final
2019-07-29 11:13:48	ga_s2bm_ard_3-2-1_51KZR_2019-07-29_final
2019-11-28 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2019-11-28_final
2020-01-25 11:12:54	ga_s2bm_ard_3-2-1_52KEC_2020-01-25_final
2020-02-20 11:35:00	ga_s2bm_ard_3-2-1_51JTL_2020-02-20_final
2020-03-01 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2020-03-01_final
2020-03-11 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2020-03-11_final
2020-03-14 11:45:44	ga_s2bm_ard_3-2-1_50JQN_2020-03-14_final
2020-04-16 11:54:35	ga_s2bm_ard_3-2-1_50JPT_2020-04-16_final
2020-06-12 11:42:24	ga_s2bm_ard_3-2-1_51KWA_2020-06-12_final
2020-08-20 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2020-08-20_final
2020-09-17 11:35:10	ga_s2bm_ard_3-2-1_51JWK_2020-09-17_final
2020-12-23 11:22:12	ga_s2bm_ard_3-2-1_52KCF_2020-12-23_final
2021-01-28 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2021-01-28_final
2021-02-03 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-02-03_final
2021-02-11 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2021-02-11_final
2021-02-13 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2021-02-13_final
2021-03-05 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-03-05_final
2021-03-12 11:54:02	ga_s2bm_ard_3-2-1_50KQV_2021-03-12_final
2021-03-13 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2021-03-13_final
2021-05-03 10:55:28	ga_s2bm_ard_3-2-1_52JFN_2021-05-03_final
2021-05-05 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2021-05-05_final
2021-05-05 11:33:57	ga_s2bm_ard_3-2-1_51KVQ_2021-05-05_final
2021-05-28 11:43:34	ga_s2bm_ard_3-2-1_50KRB_2021-05-28_final
2021-07-30 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2021-07-30_final
2021-10-16 11:13:56	ga_s2bm_ard_3-2-1_52KBV_2021-10-16_final
2022-02-12 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-02-12_final
2022-02-12 11:45:26	ga_s2bm_ard_3-2-1_50JQP_2022-02-12_final
2022-02-25 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2022-02-25_final
2022-03-14 11:44:00	ga_s2bm_ard_3-2-1_51KTQ_2022-03-14_final
2022-03-18 11:21:38	ga_s2bm_ard_3-2-1_51LZD_2022-03-18_final
2022-04-03 11:46:23	ga_s2bm_ard_3-2-1_50JML_2022-04-03_final
2022-04-20 11:36:27	ga_s2bm_ard_3-2-1_51HTE_2022-04-20_final
2022-05-13 11:44:18	ga_s2bm_ard_3-2-1_50KQU_2022-05-13_final
2022-05-18 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2022-05-18_final
2022-06-07 10:55:14	ga_s2bm_ard_3-2-1_52JGP_2022-06-07_final
2022-06-16 11:24:59	ga_s2bm_ard_3-2-1_51JXL_2022-06-16_final
2022-06-30 11:06:42	ga_s2bm_ard_3-2-1_51HYD_2022-06-30_final
2022-09-03 11:55:40	ga_s2bm_ard_3-2-1_50JMP_2022-09-03_final.stac-item
2022-09-08 11:05:54	ga_s2bm_ard_3-2-1_52JCM_2022-09-08_final.stac-item
2022-09-08 11:06:05	ga_s2bm_ard_3-2-1_52JDL_2022-09-08_final.stac-item
2022-09-19 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2022-09-19_final.stac-item
2022-10-01 11:14:20	ga_s2bm_ard_3-2-1_52JCT_2022-10-01_final.stac-item
2022-10-10 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2022-10-10_final.stac-item
2022-10-17 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2022-10-17_final.stac-item
2022-10-17 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2022-10-17_final.stac-item
2022-10-17 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2022-10-17_final.stac-item
2022-10-18 11:05:48	ga_s2bm_ard_3-2-1_52JDM_2022-10-18_final.stac-item
2022-10-25 10:55:30	ga_s2bm_ard_3-2-1_52JFN_2022-10-25_final.stac-item
2022-10-30 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2022-10-30_final.stac-item
2022-10-31 11:16:29	ga_s2bm_ard_3-2-1_51HWE_2022-10-31_final.stac-item
2022-10-31 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2022-10-31_final.stac-item
2022-11-20 11:13:22	ga_s2bm_ard_3-2-1_52KCB_2022-11-20_final.stac-item
2022-12-02 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2022-12-02_final.stac-item
2022-12-06 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2022-12-06_final.stac-item
2022-12-12 13:31:31	ga_s2bm_ard_3-2-1_46LHN_2022-12-12_interim.stac-item
2022-12-23 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2022-12-23_final.stac-item
2023-02-01 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2023-02-01_final.stac-item
2023-03-26 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2023-03-26_final.stac-item
2023-04-04 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2023-04-04_final.stac-item
2023-04-15 11:31:07	ga_s2bm_ard_3-2-1_51LZF_2023-04-15_nrt.stac-item
2023-05-24 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-05-24_final.stac-item
2023-06-21 11:24:23	ga_s2bm_ard_3-2-1_52JBT_2023-06-21_final.stac-item
2023-06-21 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2023-06-21_final.stac-item
2023-08-13 11:33:40	ga_s2bm_ard_3-2-1_51KUS_2023-08-13_final.stac-item
2024-01-23 11:45:13	ga_s2bm_ard_3-2-1_51JTK_2024-01-23_final.stac-item
2024-02-19 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2024-02-19_final.stac-item
2024-03-10 11:34:06	ga_s2bm_ard_3-2-1_51KWP_2024-03-10_final.stac-item
2024-04-11 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2024-04-11_final.stac-item
2024-04-16 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2024-04-16_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