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
2017-07-09 11:10:37	ga_s2bm_ard_3-2-1_52LGK_2017-07-09_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KUT_2017-07-25_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_50JQN_2017-11-12_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KXS_2017-12-02_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KXA_2018-01-11_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_52LBK_2018-01-11_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52LCH_2018-02-17_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51HUE_2018-02-20_final
2018-04-21 11:26:19	ga_s2bm_ard_3-2-1_51KWT_2018-04-21_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_52KBC_2018-04-28_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KVU_2018-05-21_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51KUQ_2018-06-10_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_52KEB_2018-07-04_final
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_51KYU_2018-07-27_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JMM_2018-10-04_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KXU_2018-10-08_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HXD_2018-10-15_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KWT_2018-10-18_final
2019-01-07 11:03:18	ga_s2bm_ard_3-2-1_52KEB_2019-01-07_final
2019-01-20 11:13:13	ga_s2bm_ard_3-2-1_52KBC_2019-01-20_final
2019-01-24 10:56:04	ga_s2bm_ard_3-2-1_52JEL_2019-01-24_final
2019-01-27 11:04:18	ga_s2bm_ard_3-2-1_52JET_2019-01-27_final
2019-02-25 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2019-02-25_final
2019-03-10 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2019-03-10_final
2019-03-19 10:36:57	ga_s2bm_ard_3-2-1_53HPA_2019-03-19_final
2019-03-27 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2019-03-27_final
2019-04-06 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2019-04-06_final
2019-04-15 12:05:35	ga_s2bm_ard_3-2-1_49JGK_2019-04-15_final
2019-04-20 11:13:21	ga_s2bm_ard_3-2-1_52KBC_2019-04-20_final
2019-04-20 11:14:56	ga_s2bm_ard_3-2-1_52JCR_2019-04-20_final
2019-05-08 10:36:36	ga_s2bm_ard_3-2-1_53HLD_2019-05-08_final
2019-06-18 11:43:37	ga_s2bm_ard_3-2-1_51KUS_2019-06-18_final
2019-07-04 12:06:04	ga_s2bm_ard_3-2-1_50JKN_2019-07-04_final
2019-07-05 11:34:55	ga_s2bm_ard_3-2-1_51JUM_2019-07-05_final
2019-08-10 11:56:37	ga_s2bm_ard_3-2-1_50HNK_2019-08-10_final
2019-10-30 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-10-30_final
2019-11-09 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2019-11-09_final
2019-11-12 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2019-11-12_final
2019-12-12 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2019-12-12_final
2020-01-04 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2020-01-04_final
2020-01-11 11:32:53	ga_s2bm_ard_3-2-1_51KWU_2020-01-11_final
2020-01-12 11:04:45	ga_s2bm_ard_3-2-1_52JDR_2020-01-12_final
2020-02-23 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2020-02-23_final
2020-03-04 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2020-03-04_final
2020-05-20 11:31:21	ga_s2bm_ard_3-2-1_51LZE_2020-05-20_final
2020-06-13 11:13:54	ga_s2bm_ard_3-2-1_52KCV_2020-06-13_final
2020-06-23 11:13:50	ga_s2bm_ard_3-2-1_52KDV_2020-06-23_final
2020-07-22 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2020-07-22_final
2020-08-04 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2020-08-04_final
2020-09-18 11:01:19	ga_s2bm_ard_3-2-1_52LGK_2020-09-18_final
2020-09-27 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2020-09-27_final
2020-10-18 11:03:23	ga_s2bm_ard_3-2-1_52KEB_2020-10-18_final
2020-11-06 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2020-11-06_final
2020-11-16 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2020-11-16_final
2020-12-10 11:15:48	ga_s2bm_ard_3-2-1_52JBM_2020-12-10_final
2021-02-05 11:04:06	ga_s2bm_ard_3-2-1_52KDU_2021-02-05_final
2021-03-13 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2021-03-13_final
2021-03-29 11:41:57	ga_s2bm_ard_3-2-1_51LVC_2021-03-29_final
2021-07-14 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2021-07-14_final
2021-08-23 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2021-08-23_final
2021-10-10 10:54:02	ga_s2bm_ard_3-2-1_52KGU_2021-10-10_final
2021-10-29 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2021-10-29_final
2021-11-11 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2021-11-11_final
2021-11-30 10:26:55	ga_s2bm_ard_3-2-1_53HNB_2021-11-30_final
2021-12-01 11:33:19	ga_s2bm_ard_3-2-1_51KXS_2021-12-01_final
2021-12-25 11:13:17	ga_s2bm_ard_3-2-1_52KCB_2021-12-25_final
2022-01-14 11:11:00	ga_s2bm_ard_3-2-1_52LEL_2022-01-14_final.stac-item
2022-02-09 11:33:21	ga_s2bm_ard_3-2-1_51KWS_2022-02-09_final
2022-02-27 10:55:52	ga_s2bm_ard_3-2-1_52JGL_2022-02-27_final
2022-03-11 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2022-03-11_final
2022-03-21 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2022-03-21_final
2022-04-05 10:45:44	ga_s2bm_ard_3-2-1_52JGM_2022-04-05_final
2022-04-10 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2022-04-10_final
2022-04-20 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2022-04-20_final
2022-05-04 11:15:28	ga_s2bm_ard_3-2-1_52JCN_2022-05-04_final
2022-06-08 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2022-06-08_final
2022-06-19 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2022-06-19_final
2022-08-02 11:13:53	ga_s2bm_ard_3-2-1_52KDV_2022-08-02_final
2022-10-14 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2022-10-14_final.stac-item
2022-10-26 10:26:21	ga_s2bm_ard_3-2-1_53HPD_2022-10-26_final.stac-item
2022-10-27 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2022-10-27_final.stac-item
2022-10-31 11:16:18	ga_s2bm_ard_3-2-1_52HBK_2022-10-31_final.stac-item
2022-11-23 11:23:49	ga_s2bm_ard_3-2-1_52KBV_2022-11-23_final.stac-item
2022-11-25 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2022-11-25_final.stac-item
2022-12-30 11:13:47	ga_s2bm_ard_3-2-1_52KDV_2022-12-30_final.stac-item
2023-01-28 13:21:42	ga_s2bm_ard_3-2-1_46LHM_2023-01-28_interim.stac-item
2023-01-29 11:13:37	ga_s2bm_ard_3-2-1_52KBA_2023-01-29_final.stac-item
2023-02-19 10:45:46	ga_s2bm_ard_3-2-1_52JGM_2023-02-19_final.stac-item
2023-06-28 11:14:14	ga_s2bm_ard_3-2-1_52KBU_2023-06-28_final.stac-item
2023-07-01 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2023-07-01_final.stac-item
2023-07-05 11:02:40	ga_s2bm_ard_3-2-1_52KHD_2023-07-05_final.stac-item
2023-08-26 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2023-08-26_final.stac-item
2023-09-29 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-09-29_final.stac-item
2023-11-28 11:25:27	ga_s2bm_ard_3-2-1_51JVJ_2023-11-28_final.stac-item
2023-12-02 11:06:30	ga_s2bm_ard_3-2-1_52HBJ_2023-12-02_nrt.stac-item
2023-12-08 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2023-12-08_final.stac-item
2024-03-01 11:01:26	ga_s2bm_ard_3-2-1_52LHJ_2024-03-01_final.stac-item
2024-03-07 11:23:01	ga_s2bm_ard_3-2-1_52KBC_2024-03-07_final.stac-item
2024-05-23 11:11:04	ga_s2bm_ard_3-2-1_52LEL_2024-05-23_final.stac-item
2024-05-29 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2024-05-29_nrt.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