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
2017-07-14 12:04:42	ga_s2bm_ard_3-2-1_49JGM_2017-07-14_final
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_51HXD_2017-10-07_final
2018-03-12 11:35:28	ga_s2bm_ard_3-2-1_51HTC_2018-03-12_final
2018-03-13 11:02:50	ga_s2bm_ard_3-2-1_52JDN_2018-03-13_final
2018-04-21 11:26:19	ga_s2bm_ard_3-2-1_51KWU_2018-04-21_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KYA_2018-05-28_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JHN_2018-06-19_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JLN_2018-06-26_final
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49JGK_2018-07-12_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_50JQT_2018-09-01_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HPJ_2018-09-11_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51KZQ_2018-10-15_final
2018-12-07 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2018-12-07_final
2018-12-27 11:31:50	ga_s2bm_ard_3-2-1_51LYC_2018-12-27_final
2019-01-02 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2019-01-02_final
2019-02-05 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2019-02-05_final
2019-03-14 11:24:16	ga_s2bm_ard_3-2-1_52JBT_2019-03-14_final
2019-05-06 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-05-06_final
2019-07-24 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-07-24_final
2019-08-10 11:56:43	ga_s2bm_ard_3-2-1_50HMK_2019-08-10_final
2019-08-17 11:47:08	ga_s2bm_ard_3-2-1_50HPH_2019-08-17_final
2019-08-21 11:22:58	ga_s2bm_ard_3-2-1_51KZU_2019-08-21_final
2019-09-23 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2019-09-23_final
2019-09-30 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2019-09-30_final
2019-10-07 11:14:58	ga_s2bm_ard_3-2-1_52JCR_2019-10-07_final
2019-10-29 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2019-10-29_final.stac-item
2019-11-15 11:42:48	ga_s2bm_ard_3-2-1_51KVU_2019-11-15_final
2019-11-21 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2019-11-21_final
2019-12-25 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2019-12-25_final
2020-02-09 12:04:30	ga_s2bm_ard_3-2-1_50JMT_2020-02-09_final
2020-04-03 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2020-04-03_final
2020-04-20 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2020-04-20_final
2020-04-29 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2020-04-29_final
2020-05-12 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2020-05-12_final
2020-05-13 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2020-05-13_final
2020-07-19 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2020-07-19_final
2020-09-04 11:22:55	ga_s2bm_ard_3-2-1_51KZU_2020-09-04_final
2020-09-23 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2020-09-23_final
2020-11-26 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2020-11-26_final
2020-12-16 11:31:15	ga_s2bm_ard_3-2-1_51LZE_2020-12-16_final
2021-01-15 11:32:00	ga_s2bm_ard_3-2-1_51LWC_2021-01-15_final
2021-01-25 11:31:42	ga_s2bm_ard_3-2-1_51LXD_2021-01-25_final
2021-02-04 11:31:42	ga_s2bm_ard_3-2-1_51LXD_2021-02-04_final
2021-02-13 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2021-02-13_final
2021-02-21 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2021-02-21_final
2021-03-20 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2021-03-20_final
2021-04-09 11:13:37	ga_s2bm_ard_3-2-1_51KZR_2021-04-09_final
2021-06-11 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2021-06-11_final
2021-06-24 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2021-06-24_final
2021-07-14 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2021-07-14_final
2021-08-22 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2021-08-22_final
2021-09-05 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2021-09-05_final
2021-11-01 11:34:19	ga_s2bm_ard_3-2-1_51KUP_2021-11-01_final
2021-11-08 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2021-11-08_final
2021-11-24 11:42:09	ga_s2bm_ard_3-2-1_51KVB_2021-11-24_final
2021-11-28 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2021-11-28_final
2022-01-19 12:04:23	ga_s2bm_ard_3-2-1_50KKU_2022-01-19_final
2022-02-02 11:41:27	ga_s2bm_ard_3-2-1_51LUE_2022-02-02_final
2022-02-08 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2022-02-08_final
2022-04-03 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2022-04-03_final
2022-04-13 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2022-04-13_final
2022-04-24 11:14:11	ga_s2bm_ard_3-2-1_52JDT_2022-04-24_final
2022-05-26 11:54:48	ga_s2bm_ard_3-2-1_50JPS_2022-05-26_final
2022-07-21 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2022-07-21_final
2022-08-07 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2022-08-07_final
2022-08-08 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2022-08-08_final
2022-09-07 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2022-09-07_final.stac-item
2022-11-03 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2022-11-03_final.stac-item
2022-11-12 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2022-11-12_final.stac-item
2022-11-12 11:56:17	ga_s2bm_ard_3-2-1_50JML_2022-11-12_final.stac-item
2022-12-08 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2022-12-08_final.stac-item
2022-12-16 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2022-12-16_final.stac-item
2022-12-26 11:31:20	ga_s2bm_ard_3-2-1_51LZE_2022-12-26_final.stac-item
2022-12-30 11:15:21	ga_s2bm_ard_3-2-1_52JBP_2022-12-30_final.stac-item
2023-01-05 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2023-01-05_final.stac-item
2023-01-18 11:41:30	ga_s2bm_ard_3-2-1_51LUE_2023-01-18_final.stac-item
2023-01-19 11:15:19	ga_s2bm_ard_3-2-1_52JBP_2023-01-19_final.stac-item
2023-02-24 11:31:35	ga_s2bm_ard_3-2-1_51LZD_2023-02-24_final.stac-item
2023-03-03 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2023-03-03_final.stac-item
2023-03-06 11:31:38	ga_s2bm_ard_3-2-1_51LZD_2023-03-06_final.stac-item
2023-03-09 11:41:37	ga_s2bm_ard_3-2-1_51LUE_2023-03-09_final.stac-item
2023-04-07 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-04-07_final.stac-item
2023-06-14 11:35:03	ga_s2bm_ard_3-2-1_51JVL_2023-06-14_final.stac-item
2023-07-04 11:32:52	ga_s2bm_ard_3-2-1_51KVV_2023-07-04_final.stac-item
2023-07-08 11:14:26	ga_s2bm_ard_3-2-1_52JCT_2023-07-08_final.stac-item
2023-07-15 11:05:42	ga_s2bm_ard_3-2-1_52JCN_2023-07-15_final.stac-item
2023-08-09 11:53:26	ga_s2bm_ard_3-2-1_50KPC_2023-08-09_final.stac-item
2023-08-16 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-08-16_final.stac-item
2023-08-22 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2023-08-22_final.stac-item
2023-08-30 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2023-08-30_final.stac-item
2023-09-15 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2023-09-15_final.stac-item
2023-09-19 11:24:05	ga_s2bm_ard_3-2-1_51KWQ_2023-09-19_final.stac-item
2023-10-08 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2023-10-08_final.stac-item
2023-10-22 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-10-22_final.stac-item
2023-10-25 11:44:32	ga_s2bm_ard_3-2-1_51JTN_2023-10-25_final.stac-item
2023-12-17 11:52:34	ga_s2bm_ard_3-2-1_50KQF_2023-12-17_final.stac-item
2023-12-17 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2023-12-17_final.stac-item
2024-01-19 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-01-19_final.stac-item
2024-02-19 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2024-02-19_final.stac-item
2024-02-25 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2024-02-25_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