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
2017-08-10 11:56:06	ga_s2bm_ard_3-2-1_50JLM_2017-08-10_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KZS_2017-11-19_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51HXD_2017-12-09_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JYM_2017-12-29_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KWR_2018-01-11_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51LYD_2018-01-21_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KUP_2018-02-03_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JKP_2018-02-06_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KVQ_2018-02-20_final
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_51KYU_2018-03-29_final
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51KUT_2018-05-04_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KXS_2018-05-11_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KZP_2018-06-07_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JMM_2018-07-26_final
2018-12-17 11:36:41	ga_s2bm_ard_3-2-1_51HTD_2018-12-17_final
2019-01-06 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2019-01-06_final
2019-01-16 11:34:31	ga_s2bm_ard_3-2-1_51JUN_2019-01-16_final
2019-01-26 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2019-01-26_final
2019-03-08 11:05:35	ga_s2bm_ard_3-2-1_52JCN_2019-03-08_final
2019-03-31 11:16:22	ga_s2bm_ard_3-2-1_52HBK_2019-03-31_final
2019-04-03 11:26:43	ga_s2bm_ard_3-2-1_51HWD_2019-04-03_final
2019-06-17 12:15:27	ga_s2bm_ard_3-2-1_49JGK_2019-06-17_final
2019-07-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-07-04_final
2019-07-05 11:33:36	ga_s2bm_ard_3-2-1_51KWS_2019-07-05_final
2019-07-12 11:24:49	ga_s2bm_ard_3-2-1_51JXM_2019-07-12_final
2019-07-29 11:14:43	ga_s2bm_ard_3-2-1_52JDS_2019-07-29_final
2019-08-01 11:24:05	ga_s2bm_ard_3-2-1_51KXQ_2019-08-01_final
2019-09-02 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2019-09-02_final
2019-09-04 11:06:02	ga_s2bm_ard_3-2-1_52JEL_2019-09-04_final
2019-09-23 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2019-09-23_final
2019-10-20 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2019-10-20_final
2019-10-22 12:03:21	ga_s2bm_ard_3-2-1_50KNC_2019-10-22_final
2019-11-29 11:26:39	ga_s2bm_ard_3-2-1_51HVD_2019-11-29_final
2020-01-08 11:23:01	ga_s2bm_ard_3-2-1_51KZT_2020-01-08_final
2020-01-11 11:31:15	ga_s2bm_ard_3-2-1_51LZE_2020-01-11_final
2020-01-18 11:24:13	ga_s2bm_ard_3-2-1_51JZN_2020-01-18_final
2020-03-01 11:36:44	ga_s2bm_ard_3-2-1_51HTD_2020-03-01_final
2020-05-26 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2020-05-26_final
2020-06-02 11:44:18	ga_s2bm_ard_3-2-1_50KRU_2020-06-02_final
2020-06-19 11:34:08	ga_s2bm_ard_3-2-1_51KXP_2020-06-19_final
2020-08-15 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2020-08-15_final
2020-08-18 11:35:51	ga_s2bm_ard_3-2-1_51JTH_2020-08-18_final
2020-08-18 11:37:04	ga_s2bm_ard_3-2-1_51HTC_2020-08-18_final
2020-10-07 11:32:58	ga_s2bm_ard_3-2-1_51KXU_2020-10-07_final
2020-11-10 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2020-11-10_final
2020-12-20 11:14:45	ga_s2bm_ard_3-2-1_52JCR_2020-12-20_final
2020-12-23 11:21:37	ga_s2bm_ard_3-2-1_51LZD_2020-12-23_final
2021-01-05 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2021-01-05_final
2021-01-31 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2021-01-31_final
2021-02-07 11:46:25	ga_s2bm_ard_3-2-1_50JML_2021-02-07_final
2021-02-11 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2021-02-11_final
2021-03-02 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2021-03-02_final
2021-03-06 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2021-03-06_final
2021-03-16 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2021-03-16_final
2021-05-05 11:34:43	ga_s2bm_ard_3-2-1_51JUM_2021-05-05_final
2021-05-25 11:33:02	ga_s2bm_ard_3-2-1_51KYT_2021-05-25_final
2021-06-28 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2021-06-28_final
2021-07-17 11:45:16	ga_s2bm_ard_3-2-1_51JTK_2021-07-17_final
2021-07-25 11:04:23	ga_s2bm_ard_3-2-1_52JDT_2021-07-25_final
2021-07-27 11:44:36	ga_s2bm_ard_3-2-1_50JQT_2021-07-27_final
2021-08-09 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2021-08-09_final
2021-10-28 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2021-10-28_final
2022-01-24 11:16:35	ga_s2bm_ard_3-2-1_51HXD_2022-01-24_final
2022-01-31 11:05:13	ga_s2bm_ard_3-2-1_52JDP_2022-01-31_final
2022-02-12 11:45:12	ga_s2bm_ard_3-2-1_50JQQ_2022-02-12_final
2022-03-01 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2022-03-01_final.stac-item
2022-03-05 11:15:09	ga_s2bm_ard_3-2-1_52JDP_2022-03-05_final
2022-04-03 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2022-04-03_final
2022-04-23 11:42:55	ga_s2bm_ard_3-2-1_51KUU_2022-04-23_final
2022-05-04 11:13:35	ga_s2bm_ard_3-2-1_51KZR_2022-05-04_final
2022-05-13 11:43:35	ga_s2bm_ard_3-2-1_50KQB_2022-05-13_final
2022-05-30 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2022-05-30_final
2022-06-16 11:24:22	ga_s2bm_ard_3-2-1_52JBT_2022-06-16_final
2022-09-13 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2022-09-13_final.stac-item
2022-10-17 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2022-10-17_final.stac-item
2023-01-02 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2023-01-02_final.stac-item
2023-01-05 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2023-01-05_final.stac-item
2023-02-07 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2023-02-07_final.stac-item
2023-02-20 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2023-02-20_final.stac-item
2023-03-27 11:04:50	ga_s2bm_ard_3-2-1_52JER_2023-03-27_final.stac-item
2023-03-30 11:14:27	ga_s2bm_ard_3-2-1_52JBT_2023-03-30_final.stac-item
2023-05-24 12:04:26	ga_s2bm_ard_3-2-1_50KMU_2023-05-24_final.stac-item
2023-05-25 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2023-05-25_final.stac-item
2023-06-01 11:25:56	ga_s2bm_ard_3-2-1_51JXG_2023-06-01_final.stac-item
2023-06-11 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2023-06-11_final.stac-item
2023-06-20 11:54:27	ga_s2bm_ard_3-2-1_50KNU_2023-06-20_final.stac-item
2023-06-27 11:43:23	ga_s2bm_ard_3-2-1_50KRC_2023-06-27_final.stac-item
2023-07-15 11:05:10	ga_s2bm_ard_3-2-1_52JDQ_2023-07-15_final.stac-item
2023-07-27 11:46:36	ga_s2bm_ard_3-2-1_50HQK_2023-07-27_final.stac-item
2023-07-28 11:15:27	ga_s2bm_ard_3-2-1_52JBP_2023-07-28_final.stac-item
2023-08-02 12:03:28	ga_s2bm_ard_3-2-1_50KMC_2023-08-02_final.stac-item
2023-11-04 11:45:24	ga_s2bm_ard_3-2-1_50JPQ_2023-11-04_final.stac-item
2024-01-23 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2024-01-23_final.stac-item
2024-02-13 11:16:07	ga_s2bm_ard_3-2-1_52JCL_2024-02-13_final.stac-item
2024-02-19 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2024-02-19_final.stac-item
2024-02-29 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2024-02-29_final.stac-item
2024-03-03 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2024-03-03_final.stac-item
2024-03-17 11:26:06	ga_s2bm_ard_3-2-1_51JXF_2024-03-17_final.stac-item
2024-04-11 12:14:31	ga_s2bm_ard_3-2-1_49KFP_2024-04-11_nrt.stac-item
2024-04-25 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2024-04-25_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