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
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50KKB_2017-07-24_final
2017-07-27 12:14:41	ga_s2bm_ard_3-2-1_49JFM_2017-07-27_final
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_50JKP_2017-09-22_final
2017-11-02 11:35:51	ga_s2bm_ard_3-2-1_50HQJ_2017-11-02_final
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51JXJ_2017-11-09_final
2017-11-23 11:02:50	ga_s2bm_ard_3-2-1_52JGS_2017-11-23_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KYV_2017-12-02_final
2017-12-06 11:11:50	ga_s2bm_ard_3-2-1_52KCD_2017-12-06_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KVB_2018-01-11_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51HUC_2018-02-07_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_52KCF_2018-02-17_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JVG_2018-02-17_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_50HQK_2018-02-20_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JUL_2018-02-20_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JVM_2018-02-20_final
2018-02-21 11:02:40	ga_s2bm_ard_3-2-1_52JCQ_2018-02-21_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_50HQH_2018-03-02_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_49KHQ_2018-05-30_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KXT_2018-06-07_final
2018-07-31 11:00:38	ga_s2bm_ard_3-2-1_52JFR_2018-07-31_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51HTC_2018-08-09_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51HVE_2018-10-05_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50HNK_2018-10-31_final
2018-11-11 11:14:47	ga_s2bm_ard_3-2-1_52JCR_2018-11-11_final
2018-11-24 11:23:46	ga_s2bm_ard_3-2-1_52KBV_2018-11-24_final
2018-12-10 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2018-12-10_final
2019-03-06 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2019-03-06_final
2019-03-18 11:06:22	ga_s2bm_ard_3-2-1_52HBK_2019-03-18_final
2019-03-23 11:53:36	ga_s2bm_ard_3-2-1_50KPB_2019-03-23_final
2019-03-23 11:54:40	ga_s2bm_ard_3-2-1_50JMT_2019-03-23_final
2019-04-12 11:55:00	ga_s2bm_ard_3-2-1_50JMS_2019-04-12_final
2019-04-26 11:32:26	ga_s2bm_ard_3-2-1_51KVB_2019-04-26_final
2019-04-26 11:36:50	ga_s2bm_ard_3-2-1_51HUD_2019-04-26_final
2019-06-08 11:44:45	ga_s2bm_ard_3-2-1_50JPT_2019-06-08_final
2019-06-09 11:15:00	ga_s2bm_ard_3-2-1_52JBR_2019-06-09_final
2019-08-18 11:13:10	ga_s2bm_ard_3-2-1_52KDC_2019-08-18_final
2019-09-07 11:13:53	ga_s2bm_ard_3-2-1_52KCV_2019-09-07_final
2020-01-04 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2020-01-04_final
2020-03-02 11:05:31	ga_s2bm_ard_3-2-1_52JDN_2020-03-02_final
2020-03-14 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2020-03-14_final
2020-03-17 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2020-03-17_final
2020-05-20 11:31:39	ga_s2bm_ard_3-2-1_51LYD_2020-05-20_final
2020-06-26 11:23:05	ga_s2bm_ard_3-2-1_52KCC_2020-06-26_final
2020-07-19 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2020-07-19_final
2020-07-20 11:04:20	ga_s2bm_ard_3-2-1_52JET_2020-07-20_final
2020-07-29 11:32:42	ga_s2bm_ard_3-2-1_51KXV_2020-07-29_final
2020-08-27 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2020-08-27_final
2020-09-11 11:13:07	ga_s2bm_ard_3-2-1_52KDC_2020-09-11_final
2020-09-20 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2020-09-20_final
2020-10-04 11:25:31	ga_s2bm_ard_3-2-1_51JWJ_2020-10-04_final
2020-10-14 11:23:16	ga_s2bm_ard_3-2-1_52KBC_2020-10-14_final
2021-01-15 11:35:12	ga_s2bm_ard_3-2-1_51JVK_2021-01-15_final
2021-01-26 11:05:26	ga_s2bm_ard_3-2-1_52JFN_2021-01-26_final
2021-02-13 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2021-02-13_final
2021-03-02 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2021-03-02_final
2021-03-08 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-03-08_final
2021-03-13 11:24:58	ga_s2bm_ard_3-2-1_51JWL_2021-03-13_final
2021-03-18 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2021-03-18_final
2021-03-25 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-03-25_final
2021-04-08 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2021-04-08_final
2021-04-12 11:23:32	ga_s2bm_ard_3-2-1_51KZR_2021-04-12_final
2021-04-18 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2021-04-18_final
2021-05-04 12:04:54	ga_s2bm_ard_3-2-1_50JKS_2021-05-04_final
2021-05-05 11:35:42	ga_s2bm_ard_3-2-1_51JUH_2021-05-05_final
2021-05-25 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2021-05-25_final
2021-07-14 11:32:34	ga_s2bm_ard_3-2-1_51KVA_2021-07-14_final
2021-07-14 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2021-07-14_final
2021-08-09 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-08-09_final
2021-09-02 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2021-09-02_final
2021-09-02 11:35:34	ga_s2bm_ard_3-2-1_50JQP_2021-09-02_final
2021-10-06 11:16:08	ga_s2bm_ard_3-2-1_51JYF_2021-10-06_final
2021-10-10 10:54:12	ga_s2bm_ard_3-2-1_52JHT_2021-10-10_final
2022-02-13 11:13:48	ga_s2bm_ard_3-2-1_51KZQ_2022-02-13_final
2022-03-05 11:15:30	ga_s2bm_ard_3-2-1_52JCN_2022-03-05_final
2022-04-24 11:15:37	ga_s2bm_ard_3-2-1_51JXH_2022-04-24_final.stac-item
2022-07-06 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2022-07-06_final
2022-07-29 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2022-07-29_final
2022-08-05 11:23:11	ga_s2bm_ard_3-2-1_51KZT_2022-08-05_final
2022-08-08 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2022-08-08_final
2022-09-13 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2022-09-13_final.stac-item
2022-09-25 10:56:04	ga_s2bm_ard_3-2-1_52JEL_2022-09-25_final.stac-item
2022-10-18 11:05:33	ga_s2bm_ard_3-2-1_52JDN_2022-10-18_final.stac-item
2022-12-03 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2022-12-03_final.stac-item
2023-01-02 11:23:34	ga_s2bm_ard_3-2-1_51KZR_2023-01-02_final.stac-item
2023-02-01 11:21:08	ga_s2bm_ard_3-2-1_51LZF_2023-02-01_nrt.stac-item
2023-03-19 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2023-03-19_final.stac-item
2023-06-10 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-06-10_final.stac-item
2023-06-11 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2023-06-11_final.stac-item
2023-06-27 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2023-06-27_final.stac-item
2023-06-27 11:45:55	ga_s2bm_ard_3-2-1_50JPN_2023-06-27_final.stac-item
2023-08-14 11:04:53	ga_s2bm_ard_3-2-1_52JER_2023-08-14_final.stac-item
2023-09-02 11:33:07	ga_s2bm_ard_3-2-1_51KYT_2023-09-02_final.stac-item
2024-01-24 11:16:07	ga_s2bm_ard_3-2-1_51JYF_2024-01-24_final.stac-item
2024-01-26 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2024-01-26_final.stac-item
2024-02-09 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2024-02-09_final.stac-item
2024-02-12 11:41:19	ga_s2bm_ard_3-2-1_51LUF_2024-02-12_final.stac-item
2024-03-13 11:45:00	ga_s2bm_ard_3-2-1_50JQR_2024-03-13_final.stac-item
2024-03-19 12:03:33	ga_s2bm_ard_3-2-1_50KNB_2024-03-19_final.stac-item
2024-03-27 11:23:03	ga_s2bm_ard_3-2-1_52KCC_2024-03-27_final.stac-item
2024-05-01 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2024-05-01_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