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
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_52KBV_2017-07-19_final
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JNL_2017-08-20_final
2017-11-08 11:44:06	ga_s2bm_ard_3-2-1_50KQG_2017-11-08_final.stac-item
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_50JPL_2017-11-12_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JKM_2017-11-18_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51LUE_2017-11-25_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVB_2017-12-05_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KVU_2018-01-14_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50KKB_2018-01-20_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KUT_2018-01-24_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KXT_2018-02-10_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51JUH_2018-04-21_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KVT_2018-06-03_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JQR_2018-07-03_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51KWQ_2018-07-27_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_52KCB_2018-08-03_final
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JEQ_2018-08-10_final
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51KZS_2018-09-15_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KXS_2018-09-28_final
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_50KKB_2018-09-30_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51KUR_2018-10-01_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGK_2018-10-07_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KWU_2018-10-28_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51LUF_2018-10-31_final
2019-01-02 11:52:32	ga_s2bm_ard_3-2-1_50KQF_2019-01-02_final.stac-item
2019-01-06 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2019-01-06_final
2019-01-26 11:32:22	ga_s2bm_ard_3-2-1_51KYA_2019-01-26_final
2019-02-15 11:33:36	ga_s2bm_ard_3-2-1_51KVS_2019-02-15_final
2019-02-18 11:41:32	ga_s2bm_ard_3-2-1_51LUE_2019-02-18_final
2019-02-23 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2019-02-23_final
2019-04-26 11:33:05	ga_s2bm_ard_3-2-1_51KWU_2019-04-26_final
2019-05-16 11:36:40	ga_s2bm_ard_3-2-1_51HTE_2019-05-16_final
2019-06-22 11:23:00	ga_s2bm_ard_3-2-1_51KZU_2019-06-22_final
2019-06-24 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-24_final
2019-08-11 11:23:13	ga_s2bm_ard_3-2-1_52KBC_2019-08-11_final
2019-08-14 11:34:21	ga_s2bm_ard_3-2-1_51KVP_2019-08-14_final
2019-08-24 11:33:00	ga_s2bm_ard_3-2-1_51KXU_2019-08-24_final
2019-08-31 11:24:08	ga_s2bm_ard_3-2-1_51KZP_2019-08-31_final
2019-09-04 11:05:58	ga_s2bm_ard_3-2-1_52JCM_2019-09-04_final
2019-10-07 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2019-10-07_final
2019-10-13 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2019-10-13_final
2019-11-22 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2019-11-22_final
2019-11-29 11:25:41	ga_s2bm_ard_3-2-1_51JYG_2019-11-29_final
2020-02-10 11:32:45	ga_s2bm_ard_3-2-1_51KYU_2020-02-10_final
2020-02-20 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2020-02-20_final
2020-03-06 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2020-03-06_final
2020-04-04 11:13:51	ga_s2bm_ard_3-2-1_52KBV_2020-04-04_final
2020-04-07 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2020-04-07_final
2020-05-27 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2020-05-27_final
2020-06-16 11:22:55	ga_s2bm_ard_3-2-1_51KZU_2020-06-16_final
2020-06-16 11:24:14	ga_s2bm_ard_3-2-1_51KXP_2020-06-16_final
2020-07-02 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2020-07-02_final
2020-08-02 11:14:12	ga_s2bm_ard_3-2-1_52KBU_2020-08-02_final
2020-10-17 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2020-10-17_final
2020-10-27 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2020-10-27_final
2020-11-26 11:32:32	ga_s2bm_ard_3-2-1_51KVA_2020-11-26_final
2020-12-13 11:21:56	ga_s2bm_ard_3-2-1_51LYC_2020-12-13_final
2021-02-24 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2021-02-24_final
2021-04-08 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2021-04-08_final
2021-06-14 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2021-06-14_final
2021-06-21 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2021-06-21_final
2021-06-23 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-06-23_final
2021-07-01 11:22:53	ga_s2bm_ard_3-2-1_52KBD_2021-07-01_final
2021-07-27 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2021-07-27_final
2021-08-20 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2021-08-20_final
2021-08-22 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-08-22_final
2021-10-29 11:23:28	ga_s2bm_ard_3-2-1_52KCA_2021-10-29_final
2021-11-04 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2021-11-04_final
2021-11-04 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2021-11-04_final
2021-11-08 11:23:35	ga_s2bm_ard_3-2-1_52KBA_2021-11-08_final
2021-11-25 11:13:35	ga_s2bm_ard_3-2-1_52KBA_2021-11-25_final
2021-12-05 11:15:25	ga_s2bm_ard_3-2-1_51JXJ_2021-12-05_final
2022-01-30 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2022-01-30_final
2022-02-03 11:14:18	ga_s2bm_ard_3-2-1_52JBT_2022-02-03_final
2022-02-04 10:45:41	ga_s2bm_ard_3-2-1_52JGM_2022-02-04_final
2022-02-16 11:23:33	ga_s2bm_ard_3-2-1_51KYR_2022-02-16_final
2022-02-26 11:23:16	ga_s2bm_ard_3-2-1_52KBB_2022-02-26_final
2022-03-18 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2022-03-18_final
2022-04-10 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2022-04-10_final
2022-05-24 11:15:22	ga_s2bm_ard_3-2-1_52JBP_2022-05-24_final
2022-05-28 10:55:35	ga_s2bm_ard_3-2-1_52JEN_2022-05-28_final
2022-06-06 11:23:50	ga_s2bm_ard_3-2-1_52KBV_2022-06-06_final
2022-07-03 11:15:27	ga_s2bm_ard_3-2-1_52JBP_2022-07-03_final
2022-08-01 11:44:57	ga_s2bm_ard_3-2-1_50JPS_2022-08-01_final.stac-item
2022-08-05 11:24:23	ga_s2bm_ard_3-2-1_52JBT_2022-08-05_final
2022-09-30 11:41:55	ga_s2bm_ard_3-2-1_51LWC_2022-09-30_final.stac-item
2022-11-29 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2022-11-29_final.stac-item
2022-12-19 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-12-19_final.stac-item
2023-04-09 11:14:11	ga_s2bm_ard_3-2-1_51KZP_2023-04-09_final.stac-item
2023-04-18 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2023-04-18_final.stac-item
2023-04-21 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2023-04-21_final.stac-item
2023-05-09 11:13:10	ga_s2bm_ard_3-2-1_52KCC_2023-05-09_final.stac-item
2023-06-20 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-06-20_final.stac-item
2023-06-24 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2023-06-24_final.stac-item
2023-08-03 11:33:46	ga_s2bm_ard_3-2-1_51KWR_2023-08-03_final.stac-item
2023-08-03 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2023-08-03_final.stac-item
2023-12-10 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2023-12-10_final.stac-item
2023-12-20 12:03:19	ga_s2bm_ard_3-2-1_50KLC_2023-12-20_final.stac-item
2023-12-20 12:03:41	ga_s2bm_ard_3-2-1_50KLB_2023-12-20_final.stac-item
2024-03-04 11:15:02	ga_s2bm_ard_3-2-1_52JBQ_2024-03-04_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