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
2017-10-15 12:14:28	ga_s2bm_ard_3-2-1_49JFM_2017-10-15_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KVT_2017-11-05_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50KNV_2018-01-17_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KWB_2018-01-21_final
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51KWB_2018-05-14_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KWT_2018-05-21_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KWQ_2018-05-28_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51HTC_2018-06-30_final
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KTU_2018-07-03_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_51KVB_2018-07-13_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50HLJ_2018-07-16_final
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49KGP_2018-07-22_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KWT_2018-08-09_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51KTU_2018-09-01_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_49JGJ_2018-10-17_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JXM_2018-10-25_final
2018-11-07 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2018-11-07_final
2018-11-19 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2018-11-19_final
2018-11-20 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2018-11-20_final
2018-11-27 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2018-11-27_final
2018-11-27 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2018-11-27_final
2019-01-26 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2019-01-26_final
2019-02-15 11:33:34	ga_s2bm_ard_3-2-1_51KWS_2019-02-15_final
2019-02-15 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2019-02-15_final
2019-03-10 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2019-03-10_final
2019-03-10 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2019-03-10_final
2019-04-29 11:43:19	ga_s2bm_ard_3-2-1_51KVT_2019-04-29_final
2019-09-13 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2019-09-13_final
2019-09-13 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-09-13_final
2019-09-20 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2019-09-20_final
2019-11-15 11:42:48	ga_s2bm_ard_3-2-1_51KVV_2019-11-15_final
2019-11-21 12:03:35	ga_s2bm_ard_3-2-1_50KMB_2019-11-21_final
2019-11-29 11:23:23	ga_s2bm_ard_3-2-1_51KXS_2019-11-29_final
2019-12-12 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2019-12-12_final
2019-12-15 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2019-12-15_final
2020-01-11 11:33:54	ga_s2bm_ard_3-2-1_51KVQ_2020-01-11_final
2020-01-21 11:33:17	ga_s2bm_ard_3-2-1_51KXS_2020-01-21_final
2020-02-20 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2020-02-20_final
2020-05-30 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2020-05-30_final
2020-06-02 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2020-06-02_final
2020-07-02 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2020-07-02_final
2020-08-04 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2020-08-04_final
2020-09-10 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2020-09-10_final
2020-09-19 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-09-19_final
2020-10-30 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2020-10-30_final
2020-10-30 11:43:25	ga_s2bm_ard_3-2-1_50KQC_2020-10-30_final
2020-11-02 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2020-11-02_final
2020-11-06 11:33:50	ga_s2bm_ard_3-2-1_51KUR_2020-11-06_final
2020-11-19 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2020-11-19_final
2020-11-29 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2020-11-29_final
2020-12-03 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2020-12-03_final
2021-01-11 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2021-01-11_final
2021-01-15 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-01-15_final
2021-01-28 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2021-01-28_final
2021-02-14 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2021-02-14_final
2021-02-24 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2021-02-24_final
2021-02-27 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2021-02-27_final
2021-05-15 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2021-05-15_final
2021-05-27 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2021-05-27_final
2021-06-04 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-06-04_final.stac-item
2021-07-04 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-07-04_final
2021-09-12 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2021-09-12_final
2021-09-12 11:34:39	ga_s2bm_ard_3-2-1_51JVM_2021-09-12_final
2021-10-22 11:36:15	ga_s2bm_ard_3-2-1_51JUF_2021-10-22_final
2021-10-31 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2021-10-31_final
2021-11-21 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2021-11-21_final
2022-01-30 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2022-01-30_final
2022-02-09 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2022-02-09_final
2022-02-12 11:44:07	ga_s2bm_ard_3-2-1_51KUP_2022-02-12_final
2022-03-31 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2022-03-31_final
2022-06-16 11:24:41	ga_s2bm_ard_3-2-1_51JYM_2022-06-16_final
2022-08-02 11:15:00	ga_s2bm_ard_3-2-1_51JYL_2022-08-02_final
2022-09-16 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2022-09-16_final.stac-item
2022-09-20 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2022-09-20_final.stac-item
2022-10-17 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2022-10-17_final.stac-item
2022-11-09 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2022-11-09_final.stac-item
2022-11-12 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2022-11-12_final.stac-item
2022-11-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-11-18_final.stac-item
2022-11-19 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2022-11-19_final.stac-item
2023-01-22 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2023-01-22_final.stac-item
2023-02-11 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2023-02-11_final.stac-item
2023-04-15 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2023-04-15_final.stac-item
2023-04-15 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2023-04-15_final.stac-item
2023-04-28 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2023-04-28_final.stac-item
2023-05-15 11:34:09	ga_s2bm_ard_3-2-1_51KXP_2023-05-15_final.stac-item
2023-05-18 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2023-05-18_final.stac-item
2023-06-10 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2023-06-10_final.stac-item
2023-07-07 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2023-07-07_final.stac-item
2023-09-28 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2023-09-28_final.stac-item
2023-11-14 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2023-11-14_final.stac-item
2023-11-21 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2023-11-21_final.stac-item
2023-11-28 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2023-11-28_final.stac-item
2023-12-04 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2023-12-04_final.stac-item
2023-12-13 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-12-13_final.stac-item
2023-12-27 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2023-12-27_final.stac-item
2023-12-28 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2023-12-28_final.stac-item
2024-01-07 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2024-01-07_final.stac-item
2024-01-10 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2024-01-10_final.stac-item
2024-02-02 11:42:24	ga_s2bm_ard_3-2-1_51KVA_2024-02-02_final.stac-item
2024-04-09 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2024-04-09_interim.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