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
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KWQ_2017-11-22_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KUT_2017-12-05_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMG_2017-12-15_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KWU_2018-04-01_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_52KBB_2018-04-15_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51KUV_2018-07-23_final
2018-09-02 11:09:38	ga_s2bm_ard_3-2-1_52KCD_2018-09-02_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KVR_2018-09-08_final
2018-09-11 11:39:50	ga_s2bm_ard_3-2-1_51LWC_2018-09-11_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_51LUE_2018-10-01_final
2018-12-27 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2018-12-27_final
2018-12-27 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2018-12-27_final
2019-01-16 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-01-16_final
2019-01-16 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2019-01-16_final
2019-02-18 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2019-02-18_final
2019-03-17 11:36:32	ga_s2bm_ard_3-2-1_51HVD_2019-03-17_final
2019-03-24 11:24:12	ga_s2bm_ard_3-2-1_51KXP_2019-03-24_final
2019-03-25 10:54:45	ga_s2bm_ard_3-2-1_52JGR_2019-03-25_final
2019-04-02 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2019-04-02_final
2019-04-16 11:33:08	ga_s2bm_ard_3-2-1_51KYT_2019-04-16_final
2019-04-26 11:33:16	ga_s2bm_ard_3-2-1_51KXT_2019-04-26_final
2019-05-13 11:23:00	ga_s2bm_ard_3-2-1_52KBD_2019-05-13_final
2019-05-30 11:14:00	ga_s2bm_ard_3-2-1_52KCV_2019-05-30_final
2019-07-12 11:23:15	ga_s2bm_ard_3-2-1_52KBC_2019-07-12_final
2019-07-16 11:06:07	ga_s2bm_ard_3-2-1_52JBM_2019-07-16_final
2019-07-17 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-07-17_final
2019-07-22 11:23:22	ga_s2bm_ard_3-2-1_51KXT_2019-07-22_final
2019-08-01 11:23:04	ga_s2bm_ard_3-2-1_51KYU_2019-08-01_final
2019-08-28 11:13:58	ga_s2bm_ard_3-2-1_52KBV_2019-08-28_final
2019-08-30 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2019-08-30_final
2019-09-23 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2019-09-23_final
2019-11-07 10:45:47	ga_s2bm_ard_3-2-1_52JGM_2019-11-07_final
2019-12-01 12:05:39	ga_s2bm_ard_3-2-1_49JGJ_2019-12-01_final
2020-02-20 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2020-02-20_final
2020-02-27 11:22:57	ga_s2bm_ard_3-2-1_51KXU_2020-02-27_final
2020-03-08 11:23:31	ga_s2bm_ard_3-2-1_51KYR_2020-03-08_final
2020-03-14 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2020-03-14_final
2020-03-31 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2020-03-31_final
2020-04-07 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2020-04-07_final
2020-06-22 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2020-06-22_final
2020-07-06 11:23:59	ga_s2bm_ard_3-2-1_51KXQ_2020-07-06_final
2020-08-27 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-08-27_final
2020-09-07 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-09-07_final
2020-09-17 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2020-09-17_final
2020-10-17 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2020-10-17_final
2020-11-03 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2020-11-03_final
2021-01-18 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-01-18_final
2021-02-01 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2021-02-01_final
2021-02-27 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2021-02-27_final
2021-05-19 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2021-05-19_final
2021-05-19 11:13:54	ga_s2bm_ard_3-2-1_52KBV_2021-05-19_final
2021-05-31 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2021-05-31_final
2021-06-14 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2021-06-14_final
2021-06-14 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2021-06-14_final
2021-07-14 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2021-07-14_final
2021-08-06 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2021-08-06_final
2021-09-13 11:04:32	ga_s2bm_ard_3-2-1_52JGR_2021-09-13_final
2021-09-15 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2021-09-15_final
2021-10-02 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2021-10-02_final
2021-10-08 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2021-10-08_final
2021-10-19 11:23:02	ga_s2bm_ard_3-2-1_51KXU_2021-10-19_final
2021-10-19 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2021-10-19_final
2021-10-22 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2021-10-22_final
2021-12-15 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2021-12-15_final
2021-12-25 11:13:49	ga_s2bm_ard_3-2-1_52KBV_2021-12-25_final
2022-01-24 11:13:08	ga_s2bm_ard_3-2-1_52KBC_2022-01-24_final
2022-03-04 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2022-03-04_final
2022-03-05 11:13:30	ga_s2bm_ard_3-2-1_52KDA_2022-03-05_final
2022-03-11 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2022-03-11_final
2022-03-21 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2022-03-21_final
2022-03-22 11:05:43	ga_s2bm_ard_3-2-1_52JEM_2022-03-22_final
2022-03-24 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2022-03-24_final
2022-04-20 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2022-04-20_final
2022-05-23 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2022-05-23_final.stac-item
2022-06-03 11:13:28	ga_s2bm_ard_3-2-1_51KZS_2022-06-03_final
2022-06-09 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2022-06-09_final
2022-06-26 11:23:40	ga_s2bm_ard_3-2-1_51KZR_2022-06-26_final
2022-07-16 11:24:06	ga_s2bm_ard_3-2-1_51KWQ_2022-07-16_final
2022-08-12 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2022-08-12_final
2022-08-19 11:06:19	ga_s2bm_ard_3-2-1_52HDK_2022-08-19_final.stac-item
2022-12-26 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2022-12-26_final.stac-item
2023-01-22 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2023-01-22_final.stac-item
2023-01-28 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2023-01-28_final.stac-item
2023-02-27 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2023-02-27_final.stac-item
2023-05-18 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2023-05-18_final.stac-item
2023-07-11 11:23:54	ga_s2bm_ard_3-2-1_52KBV_2023-07-11_final.stac-item
2023-09-25 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2023-09-25_final.stac-item
2023-10-25 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2023-10-25_final.stac-item
2023-10-27 10:45:48	ga_s2bm_ard_3-2-1_52JGM_2023-10-27_final.stac-item
2023-11-10 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-11-10_final.stac-item
2023-11-21 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2023-11-21_final.stac-item
2023-12-08 11:22:52	ga_s2bm_ard_3-2-1_51KYU_2023-12-08_final.stac-item
2023-12-08 11:23:17	ga_s2bm_ard_3-2-1_52KBB_2023-12-08_final.stac-item
2023-12-11 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2023-12-11_final.stac-item
2023-12-21 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2023-12-21_final.stac-item
2024-01-03 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2024-01-03_final.stac-item
2024-01-07 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2024-01-07_final.stac-item
2024-02-09 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2024-02-09_final.stac-item
2024-03-17 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2024-03-17_final.stac-item
2024-04-03 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2024-04-03_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