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
2017-07-29 11:12:14	ga_s2bm_ard_3-2-1_51KZQ_2017-07-29_final
2017-08-16 12:13:41	ga_s2bm_ard_3-2-1_50KKA_2017-08-16_final
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52KDA_2017-08-28_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HTD_2017-09-23_final
2017-10-20 11:21:45	ga_s2bm_ard_3-2-1_51KYR_2017-10-20_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KCE_2017-12-06_final
2018-01-02 10:57:06	ga_s2bm_ard_3-2-1_52HDK_2018-01-02_final.stac-item
2018-03-09 11:21:24	ga_s2bm_ard_3-2-1_52KBB_2018-03-09_final
2018-03-16 11:11:54	ga_s2bm_ard_3-2-1_51JYJ_2018-03-16_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUR_2018-03-25_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KXV_2018-06-10_final
2018-06-11 11:03:54	ga_s2bm_ard_3-2-1_52JEL_2018-06-11_final
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_50KQC_2018-06-13_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51HWC_2018-07-04_final.stac-item
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JNP_2018-09-14_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51LWG_2018-10-21_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUQ_2018-10-31_final
2018-11-17 11:32:41	ga_s2bm_ard_3-2-1_51KWV_2018-11-17_final
2018-11-17 11:35:09	ga_s2bm_ard_3-2-1_51JVK_2018-11-17_final
2018-11-24 11:24:08	ga_s2bm_ard_3-2-1_51KXP_2018-11-24_final
2018-11-30 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2018-11-30_final
2018-12-07 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2018-12-07_final
2019-01-03 11:21:59	ga_s2bm_ard_3-2-1_52KCG_2019-01-03_final
2019-01-09 11:43:20	ga_s2bm_ard_3-2-1_50KQC_2019-01-09_final
2019-03-04 11:23:47	ga_s2bm_ard_3-2-1_52KBV_2019-03-04_final
2019-03-23 11:53:32	ga_s2bm_ard_3-2-1_50KQB_2019-03-23_final
2019-04-09 11:41:22	ga_s2bm_ard_3-2-1_51LUF_2019-04-09_final
2019-05-12 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-05-12_final
2019-06-01 11:53:19	ga_s2bm_ard_3-2-1_50KRC_2019-06-01_final
2019-07-18 11:44:39	ga_s2bm_ard_3-2-1_50JRT_2019-07-18_final
2019-07-26 11:06:15	ga_s2bm_ard_3-2-1_52JCL_2019-07-26_final
2019-10-30 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2019-10-30_final
2020-01-31 11:32:36	ga_s2bm_ard_3-2-1_51KWV_2020-01-31_final
2020-02-04 11:13:48	ga_s2bm_ard_3-2-1_52KBV_2020-02-04_final
2020-03-10 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2020-03-10_final
2020-03-14 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2020-03-14_final
2020-07-25 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2020-07-25_final
2020-08-17 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2020-08-17_final
2020-08-25 11:24:08	ga_s2bm_ard_3-2-1_52KBU_2020-08-25_final
2020-09-01 11:13:51	ga_s2bm_ard_3-2-1_52KDV_2020-09-01_final
2020-11-10 11:13:35	ga_s2bm_ard_3-2-1_52KDA_2020-11-10_final
2020-11-13 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2020-11-13_final
2020-11-16 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2020-11-16_final.stac-item
2020-11-29 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2020-11-29_final
2020-11-30 11:15:12	ga_s2bm_ard_3-2-1_52JDP_2020-11-30_final
2021-01-15 11:33:09	ga_s2bm_ard_3-2-1_51KXT_2021-01-15_final
2021-01-16 11:05:19	ga_s2bm_ard_3-2-1_52JDP_2021-01-16_final
2021-02-11 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2021-02-11_final
2021-04-15 11:32:46	ga_s2bm_ard_3-2-1_51KYU_2021-04-15_final
2021-04-23 10:55:07	ga_s2bm_ard_3-2-1_52JGP_2021-04-23_final
2021-05-15 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2021-05-15_final
2021-05-25 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-05-25_final.stac-item
2021-06-01 11:24:59	ga_s2bm_ard_3-2-1_51JWL_2021-06-01_final
2021-06-12 10:55:03	ga_s2bm_ard_3-2-1_52JFQ_2021-06-12_final
2021-08-23 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2021-08-23_final
2021-10-18 11:53:37	ga_s2bm_ard_3-2-1_50KPB_2021-10-18_final
2021-10-22 11:31:40	ga_s2bm_ard_3-2-1_51LYD_2021-10-22_final
2021-10-29 11:23:51	ga_s2bm_ard_3-2-1_52KBV_2021-10-29_final
2021-11-13 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2021-11-13_final
2022-04-03 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2022-04-03_final
2022-05-10 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2022-05-10_final
2022-05-12 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-05-12_final
2022-05-16 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2022-05-16_final
2022-05-17 11:24:43	ga_s2bm_ard_3-2-1_52JBR_2022-05-17_final
2022-06-03 11:14:23	ga_s2bm_ard_3-2-1_52JBT_2022-06-03_final
2022-06-16 11:24:12	ga_s2bm_ard_3-2-1_51KYP_2022-06-16_final
2022-08-18 11:32:49	ga_s2bm_ard_3-2-1_51KVV_2022-08-18_final
2022-09-01 11:13:49	ga_s2bm_ard_3-2-1_52KDV_2022-09-01_final.stac-item
2022-09-06 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2022-09-06_final.stac-item
2022-10-04 11:23:01	ga_s2bm_ard_3-2-1_52KCC_2022-10-04_final.stac-item
2022-10-07 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2022-10-07_final.stac-item
2022-10-16 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2022-10-16_final.stac-item
2022-11-08 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-11-08_final.stac-item
2022-11-22 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2022-11-22_final.stac-item
2022-12-23 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2022-12-23_final.stac-item
2023-01-08 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2023-01-08_final.stac-item
2023-01-21 11:53:37	ga_s2bm_ard_3-2-1_50KNB_2023-01-21_final.stac-item
2023-01-31 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-01-31_final.stac-item
2023-02-10 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2023-02-10_final.stac-item
2023-04-04 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2023-04-04_final.stac-item
2023-04-15 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2023-04-15_final.stac-item
2023-04-27 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2023-04-27_final.stac-item
2023-06-01 11:24:47	ga_s2bm_ard_3-2-1_52JBR_2023-06-01_final.stac-item
2023-06-06 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2023-06-06_final.stac-item
2023-06-17 11:44:53	ga_s2bm_ard_3-2-1_50JQS_2023-06-17_final.stac-item
2023-06-26 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-06-26_final.stac-item
2023-07-03 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2023-07-03_final.stac-item
2023-07-08 11:12:58	ga_s2bm_ard_3-2-1_52KCD_2023-07-08_final.stac-item
2023-07-27 11:44:56	ga_s2bm_ard_3-2-1_51JTM_2023-07-27_final.stac-item
2023-08-07 11:15:09	ga_s2bm_ard_3-2-1_52JCQ_2023-08-07_final.stac-item
2023-09-18 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2023-09-18_final.stac-item
2023-10-21 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-10-21_final.stac-item
2023-10-22 11:32:38	ga_s2bm_ard_3-2-1_51KYV_2023-10-22_final.stac-item
2023-12-15 11:15:20	ga_s2bm_ard_3-2-1_52JBP_2023-12-15_final.stac-item
2023-12-25 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2023-12-25_final.stac-item
2024-01-14 11:12:34	ga_s2bm_ard_3-2-1_52KDE_2024-01-14_final.stac-item
2024-01-14 11:16:57	ga_s2bm_ard_3-2-1_51HWC_2024-01-14_final.stac-item
2024-01-20 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2024-01-20_final.stac-item
2024-01-29 12:04:11	ga_s2bm_ard_3-2-1_50KKV_2024-01-29_final.stac-item
2024-02-26 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2024-02-26_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