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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JKS_2017-08-13_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KUT_2017-10-13_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KXT_2017-10-13_final
2017-11-13 11:02:45	ga_s2bm_ard_3-2-1_52JCL_2017-11-13_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KWP_2017-12-29_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KVT_2018-01-01_final
2018-02-28 10:47:16	ga_s2bm_ard_3-2-1_52JFL_2018-02-28_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXT_2018-05-11_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KQC_2018-06-06_final
2018-07-20 11:32:26	ga_s2bm_ard_3-2-1_51KXS_2018-07-20_final
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_50JKM_2018-07-29_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KVT_2018-08-19_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JLM_2018-10-04_final
2018-11-11 11:15:34	ga_s2bm_ard_3-2-1_52JBN_2018-11-11_final
2019-01-03 11:23:04	ga_s2bm_ard_3-2-1_51KZT_2019-01-03_final
2019-01-23 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2019-01-23_final
2019-02-15 11:33:27	ga_s2bm_ard_3-2-1_51KWS_2019-02-15_final
2019-04-02 11:56:25	ga_s2bm_ard_3-2-1_50JML_2019-04-02_final
2019-04-26 11:33:29	ga_s2bm_ard_3-2-1_51KUT_2019-04-26_final
2019-07-12 11:23:49	ga_s2bm_ard_3-2-1_51KXR_2019-07-12_final
2019-07-13 10:55:51	ga_s2bm_ard_3-2-1_52JGM_2019-07-13_final
2019-07-15 11:33:10	ga_s2bm_ard_3-2-1_51KVU_2019-07-15_final
2019-10-06 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2019-10-06_final
2019-10-14 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2019-10-14_final
2019-11-01 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2019-11-01_final
2020-01-01 11:31:11	ga_s2bm_ard_3-2-1_51LZE_2020-01-01_final
2020-01-01 11:32:15	ga_s2bm_ard_3-2-1_51KVB_2020-01-01_final
2020-01-04 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2020-01-04_final
2020-01-08 11:23:52	ga_s2bm_ard_3-2-1_51KXQ_2020-01-08_final
2020-01-11 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2020-01-11_final
2020-01-31 11:33:45	ga_s2bm_ard_3-2-1_51KXQ_2020-01-31_final
2020-03-17 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2020-03-17_final
2020-04-17 11:23:31	ga_s2bm_ard_3-2-1_51KZR_2020-04-17_final
2020-04-23 11:46:36	ga_s2bm_ard_3-2-1_50HQJ_2020-04-23_final
2020-04-29 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2020-04-29_final
2020-05-17 11:23:21	ga_s2bm_ard_3-2-1_51KZS_2020-05-17_final
2020-05-20 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2020-05-20_final
2020-05-25 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2020-05-25_final
2020-06-02 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2020-06-02_final
2020-07-06 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2020-07-06_final
2020-07-15 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2020-07-15_final
2020-08-12 11:16:40	ga_s2bm_ard_3-2-1_51HYD_2020-08-12_final
2020-09-24 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2020-09-24_final
2020-11-26 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2020-11-26_final
2020-12-06 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2020-12-06_final
2020-12-09 11:44:11	ga_s2bm_ard_3-2-1_51KUP_2020-12-09_final
2021-01-15 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2021-01-15_final
2021-01-16 11:04:20	ga_s2bm_ard_3-2-1_52JET_2021-01-16_final
2021-01-22 11:24:26	ga_s2bm_ard_3-2-1_51JXN_2021-01-22_final
2021-01-25 11:32:32	ga_s2bm_ard_3-2-1_51KVA_2021-01-25_final
2021-02-03 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2021-02-03_final
2021-02-11 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2021-02-11_final
2021-03-23 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2021-03-23_final
2021-04-05 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2021-04-05_final
2021-04-14 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2021-04-14_final
2021-04-29 11:13:50	ga_s2bm_ard_3-2-1_51KZQ_2021-04-29_final
2021-05-05 11:36:25	ga_s2bm_ard_3-2-1_51HUE_2021-05-05_final
2021-05-08 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2021-05-08_final
2021-05-26 11:04:15	ga_s2bm_ard_3-2-1_52JFT_2021-05-26_final
2021-06-21 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2021-06-21_final
2021-06-24 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2021-06-24_final
2021-07-14 11:36:04	ga_s2bm_ard_3-2-1_51JTG_2021-07-14_final
2021-10-08 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2021-10-08_final
2021-11-25 11:15:38	ga_s2bm_ard_3-2-1_51JXH_2021-11-25_final
2021-12-31 11:32:42	ga_s2bm_ard_3-2-1_51KVV_2021-12-31_final
2022-01-03 11:43:07	ga_s2bm_ard_3-2-1_51KVT_2022-01-03_final
2022-02-03 11:13:24	ga_s2bm_ard_3-2-1_52KEA_2022-02-03_final
2022-02-05 11:53:05	ga_s2bm_ard_3-2-1_50KRC_2022-02-05_final
2022-02-16 11:23:22	ga_s2bm_ard_3-2-1_51KXS_2022-02-16_final
2022-03-08 11:26:12	ga_s2bm_ard_3-2-1_51JVF_2022-03-08_final
2022-03-13 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2022-03-13_final
2022-04-03 11:43:08	ga_s2bm_ard_3-2-1_51KTT_2022-04-03_final
2022-04-04 11:15:48	ga_s2bm_ard_3-2-1_52JBM_2022-04-04_final
2022-05-20 11:35:41	ga_s2bm_ard_3-2-1_51JVH_2022-05-20_final
2022-05-26 11:54:37	ga_s2bm_ard_3-2-1_50JNT_2022-05-26_final
2022-06-12 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2022-06-12_final
2022-08-11 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2022-08-11_final
2022-08-31 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2022-08-31_final
2022-09-03 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2022-09-03_final.stac-item
2022-09-09 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2022-09-09_final.stac-item
2022-09-24 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2022-09-24_final.stac-item
2022-09-25 10:56:01	ga_s2bm_ard_3-2-1_52JFL_2022-09-25_final.stac-item
2022-10-01 11:14:20	ga_s2bm_ard_3-2-1_52JCT_2022-10-01_final.stac-item
2022-12-02 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2022-12-02_final.stac-item
2022-12-28 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2022-12-28_final.stac-item
2023-02-07 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2023-02-07_final.stac-item
2023-02-24 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2023-02-24_final.stac-item
2023-02-28 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2023-02-28_final.stac-item
2023-03-06 11:33:01	ga_s2bm_ard_3-2-1_51KWU_2023-03-06_final.stac-item
2023-03-13 11:23:47	ga_s2bm_ard_3-2-1_51KXR_2023-03-13_final.stac-item
2023-03-26 11:34:46	ga_s2bm_ard_3-2-1_51JVM_2023-03-26_final.stac-item
2023-04-12 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2023-04-12_final.stac-item
2023-09-02 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2023-09-02_final.stac-item
2023-11-04 11:42:24	ga_s2bm_ard_3-2-1_51KWA_2023-11-04_final.stac-item
2023-11-14 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2023-11-14_final.stac-item
2024-01-04 11:14:50	ga_s2bm_ard_3-2-1_52JCR_2024-01-04_final.stac-item
2024-03-13 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2024-03-13_final.stac-item
2024-03-30 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2024-03-30_final.stac-item
2024-04-23 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2024-04-23_final.stac-item
2024-05-03 11:13:29	ga_s2bm_ard_3-2-1_51KZS_2024-05-03_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