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
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_51LUF_2017-09-16_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KVT_2017-11-12_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPG_2018-01-11_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JFM_2018-03-14_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51LUE_2018-04-14_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNJ_2018-04-24_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KVQ_2018-05-01_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2018-06-30_final
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51KVT_2018-09-18_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51HUD_2018-09-18_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KWR_2018-09-28_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KWV_2018-09-28_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KVS_2018-10-28_final
2018-11-24 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2018-11-24_final
2018-11-27 11:33:52	ga_s2bm_ard_3-2-1_51KWQ_2018-11-27_final
2018-12-21 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2018-12-21_final
2019-01-23 11:23:10	ga_s2bm_ard_3-2-1_51KYT_2019-01-23_final
2019-02-16 11:06:21	ga_s2bm_ard_3-2-1_52HCK_2019-02-16_final.stac-item
2019-02-25 11:32:35	ga_s2bm_ard_3-2-1_51KVA_2019-02-25_final
2019-02-28 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2019-02-28_final
2019-05-26 11:32:56	ga_s2bm_ard_3-2-1_51KVV_2019-05-26_final
2019-06-09 11:16:48	ga_s2bm_ard_3-2-1_51HXD_2019-06-09_final
2019-06-26 11:03:43	ga_s2bm_ard_3-2-1_52KEA_2019-06-26_final
2019-08-21 11:23:12	ga_s2bm_ard_3-2-1_52KBC_2019-08-21_final
2019-08-31 11:23:10	ga_s2bm_ard_3-2-1_52KBC_2019-08-31_final
2019-09-10 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2019-09-10_final
2019-09-23 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2019-09-23_final
2019-11-27 10:45:43	ga_s2bm_ard_3-2-1_52JGM_2019-11-27_final
2019-11-29 11:22:51	ga_s2bm_ard_3-2-1_51KYU_2019-11-29_final
2019-11-29 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2019-11-29_final
2019-12-05 11:42:57	ga_s2bm_ard_3-2-1_51KTU_2019-12-05_final
2020-01-12 11:04:27	ga_s2bm_ard_3-2-1_52JES_2020-01-12_final
2020-02-07 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2020-02-07_final
2020-02-20 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2020-02-20_final
2020-03-08 11:21:23	ga_s2bm_ard_3-2-1_51LZE_2020-03-08_final
2020-03-11 11:32:48	ga_s2bm_ard_3-2-1_51KYU_2020-03-11_final
2020-03-18 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2020-03-18_final
2020-03-31 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2020-03-31_final
2020-04-23 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2020-04-23_final
2020-05-24 11:13:19	ga_s2bm_ard_3-2-1_52KDB_2020-05-24_final
2020-06-12 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2020-06-12_final
2020-06-13 11:13:19	ga_s2bm_ard_3-2-1_52KEB_2020-06-13_final
2020-06-18 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-18_final
2020-07-22 11:41:20	ga_s2bm_ard_3-2-1_51LUF_2020-07-22_final
2020-08-09 11:06:24	ga_s2bm_ard_3-2-1_52HCK_2020-08-09_final.stac-item
2020-08-18 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2020-08-18_final
2020-09-20 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-09-20_final
2020-09-20 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-09-20_final
2020-10-04 11:23:31	ga_s2bm_ard_3-2-1_51KXS_2020-10-04_final
2020-10-14 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2020-10-14_final
2020-12-06 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2020-12-06_final
2021-01-15 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2021-01-15_final
2021-01-22 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2021-01-22_final
2021-01-25 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-01-25_final
2021-02-07 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2021-02-07_final
2021-03-03 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2021-03-03_final
2021-04-18 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2021-04-18_final
2021-04-19 11:14:04	ga_s2bm_ard_3-2-1_51KZP_2021-04-19_final
2021-05-22 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2021-05-22_final
2021-06-07 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2021-06-07_final
2021-06-24 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2021-06-24_final
2021-12-07 11:53:12	ga_s2bm_ard_3-2-1_50KQC_2021-12-07_final
2022-01-03 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2022-01-03_final
2022-03-17 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2022-03-17_final.stac-item
2022-05-26 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2022-05-26_final
2022-06-03 11:13:51	ga_s2bm_ard_3-2-1_52KCV_2022-06-03_final
2022-06-12 11:41:35	ga_s2bm_ard_3-2-1_51LUE_2022-06-12_final
2022-07-30 11:03:58	ga_s2bm_ard_3-2-1_52KDV_2022-07-30_final
2022-08-21 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2022-08-21_final
2022-08-31 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2022-08-31_final
2022-09-11 11:16:43	ga_s2bm_ard_3-2-1_51HXD_2022-09-11_final.stac-item
2022-10-20 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2022-10-20_final.stac-item
2022-11-29 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2022-11-29_final.stac-item
2023-02-01 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2023-02-01_final.stac-item
2023-04-25 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2023-04-25_final.stac-item
2023-05-08 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2023-05-08_final.stac-item
2023-05-09 11:13:57	ga_s2bm_ard_3-2-1_52KBV_2023-05-09_final.stac-item
2023-05-22 11:23:40	ga_s2bm_ard_3-2-1_51KZR_2023-05-22_final.stac-item
2023-07-06 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-07-06_final.stac-item
2023-07-08 11:13:59	ga_s2bm_ard_3-2-1_52KBV_2023-07-08_final.stac-item
2023-07-14 11:33:07	ga_s2bm_ard_3-2-1_51KYT_2023-07-14_final.stac-item
2023-07-15 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2023-07-15_final.stac-item
2023-07-18 11:13:53	ga_s2bm_ard_3-2-1_52KDV_2023-07-18_final.stac-item
2023-08-10 11:23:19	ga_s2bm_ard_3-2-1_51KXT_2023-08-10_final.stac-item
2023-08-19 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-08-19_final.stac-item
2023-09-02 11:33:50	ga_s2bm_ard_3-2-1_51KVR_2023-09-02_final.stac-item
2023-09-12 11:33:12	ga_s2bm_ard_3-2-1_51KXT_2023-09-12_final.stac-item
2023-09-18 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2023-09-18_final.stac-item
2023-10-30 10:55:44	ga_s2bm_ard_3-2-1_52JGM_2023-10-30_final.stac-item
2023-11-21 11:32:47	ga_s2bm_ard_3-2-1_51KYU_2023-11-21_final.stac-item
2023-11-28 11:24:37	ga_s2bm_ard_3-2-1_51JXM_2023-11-28_final.stac-item
2023-12-15 11:13:21	ga_s2bm_ard_3-2-1_52KEA_2023-12-15_final.stac-item
2024-02-02 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2024-02-02_final.stac-item
2024-02-16 11:22:49	ga_s2bm_ard_3-2-1_52KCD_2024-02-16_final.stac-item
2024-03-06 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2024-03-06_final.stac-item
2024-04-12 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2024-04-12_final.stac-item
2024-04-13 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2024-04-13_final.stac-item
2024-04-16 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2024-04-16_final.stac-item
2024-04-22 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-04-22_final.stac-item
2024-05-06 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2024-05-06_nrt.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