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
2017-09-10 11:21:50	ga_s2bm_ard_3-2-1_51HVC_2017-09-10_final
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51JXG_2017-11-09_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HMJ_2018-03-15_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGK_2018-04-10_final
2018-05-15 11:13:12	ga_s2bm_ard_3-2-1_51HWD_2018-05-15_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50KLC_2018-05-20_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51KYR_2018-06-07_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51KUS_2018-09-18_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JYJ_2018-10-25_final
2018-12-23 11:55:49	ga_s2bm_ard_3-2-1_50JMN_2018-12-23_final
2019-01-02 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2019-01-02_final
2019-01-23 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2019-01-23_final
2019-01-26 11:34:05	ga_s2bm_ard_3-2-1_51KXP_2019-01-26_final
2019-03-13 11:54:49	ga_s2bm_ard_3-2-1_50JNS_2019-03-13_final
2019-03-21 11:16:11	ga_s2bm_ard_3-2-1_51JXF_2019-03-21_final
2019-03-27 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2019-03-27_final
2019-03-31 11:16:43	ga_s2bm_ard_3-2-1_51HXD_2019-03-31_final
2019-04-19 11:45:45	ga_s2bm_ard_3-2-1_50JNP_2019-04-19_final
2019-04-25 12:04:06	ga_s2bm_ard_3-2-1_49KHR_2019-04-25_final
2019-05-05 12:06:03	ga_s2bm_ard_3-2-1_50JKN_2019-05-05_final
2019-05-19 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-05-19_final.stac-item
2019-07-05 11:33:43	ga_s2bm_ard_3-2-1_51KUS_2019-07-05_final
2019-07-24 12:04:33	ga_s2bm_ard_3-2-1_50KLU_2019-07-24_final
2019-07-25 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2019-07-25_final
2019-07-25 11:32:59	ga_s2bm_ard_3-2-1_51KYU_2019-07-25_final
2019-07-29 11:16:45	ga_s2bm_ard_3-2-1_51HYD_2019-07-29_final
2019-08-13 12:05:36	ga_s2bm_ard_3-2-1_49JGK_2019-08-13_final
2019-08-28 11:14:33	ga_s2bm_ard_3-2-1_51JYN_2019-08-28_final
2019-08-30 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2019-08-30_final
2019-09-12 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2019-09-12_final
2019-11-22 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2019-11-22_final
2019-12-09 11:22:55	ga_s2bm_ard_3-2-1_51KXU_2019-12-09_final
2019-12-25 11:44:58	ga_s2bm_ard_3-2-1_50JQR_2019-12-25_final
2020-02-07 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2020-02-07_final
2020-02-17 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2020-02-17_final
2020-02-24 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2020-02-24_final
2020-03-18 11:26:42	ga_s2bm_ard_3-2-1_51HVD_2020-03-18_final
2020-04-04 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2020-04-04_final
2020-04-19 12:05:14	ga_s2bm_ard_3-2-1_50JLQ_2020-04-19_final
2020-04-20 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2020-04-20_final
2020-05-20 11:33:13	ga_s2bm_ard_3-2-1_51KWT_2020-05-20_final
2020-06-16 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2020-06-16_final
2020-06-18 12:04:16	ga_s2bm_ard_3-2-1_50KKV_2020-06-18_final
2020-09-10 11:46:32	ga_s2bm_ard_3-2-1_50HQK_2020-09-10_final
2020-09-11 11:16:10	ga_s2bm_ard_3-2-1_51JYF_2020-09-11_final
2020-09-16 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2020-09-16_final
2020-09-30 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-09-30_final
2020-10-13 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2020-10-13_final
2020-11-13 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2020-11-13_final
2020-11-16 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2020-11-16_final
2020-12-06 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2020-12-06_final
2021-01-22 11:21:40	ga_s2bm_ard_3-2-1_51LZD_2021-01-22_final
2021-02-27 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2021-02-27_final
2021-05-14 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-05-14_final
2021-05-14 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2021-05-14_final
2021-05-22 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2021-05-22_final
2021-06-01 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-06-01_final
2021-06-14 11:35:31	ga_s2bm_ard_3-2-1_51JUJ_2021-06-14_final
2021-06-14 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-06-14_final
2021-06-27 11:42:57	ga_s2bm_ard_3-2-1_51KVU_2021-06-27_final
2021-07-20 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2021-07-20_final
2021-07-27 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2021-07-27_final
2021-08-02 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2021-08-02_final
2021-09-29 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2021-09-29_final
2021-10-05 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2021-10-05_final
2021-11-17 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2021-11-17_final
2021-11-20 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2021-11-20_final
2022-02-12 11:45:51	ga_s2bm_ard_3-2-1_51JTG_2022-02-12_final
2022-03-01 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2022-03-01_final
2022-04-10 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2022-04-10_final
2022-04-24 11:16:35	ga_s2bm_ard_3-2-1_51HXD_2022-04-24_final
2022-04-30 11:33:24	ga_s2bm_ard_3-2-1_51KVS_2022-04-30_final
2022-04-30 11:34:22	ga_s2bm_ard_3-2-1_51JVN_2022-04-30_final
2022-05-23 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2022-05-23_final
2022-05-30 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2022-05-30_final
2022-06-02 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2022-06-02_final
2022-06-16 11:24:55	ga_s2bm_ard_3-2-1_51JYL_2022-06-16_final
2022-08-11 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2022-08-11_final
2022-08-28 11:36:32	ga_s2bm_ard_3-2-1_51HTE_2022-08-28_final
2022-09-04 11:25:47	ga_s2bm_ard_3-2-1_51JVH_2022-09-04_final.stac-item
2022-09-04 11:26:27	ga_s2bm_ard_3-2-1_51HWE_2022-09-04_final.stac-item
2022-09-06 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2022-09-06_final.stac-item
2022-09-30 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2022-09-30_final.stac-item
2022-10-01 11:16:22	ga_s2bm_ard_3-2-1_51HYE_2022-10-01_final.stac-item
2022-10-23 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2022-10-23_final.stac-item
2023-01-02 11:21:24	ga_s2bm_ard_3-2-1_51LZE_2023-01-02_final.stac-item
2023-01-21 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2023-01-21_final.stac-item
2023-01-28 11:43:23	ga_s2bm_ard_3-2-1_51KVS_2023-01-28_final.stac-item
2023-03-23 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2023-03-23_final.stac-item
2023-04-02 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2023-04-02_final.stac-item
2023-04-28 11:43:35	ga_s2bm_ard_3-2-1_50KRB_2023-04-28_final.stac-item
2023-06-01 11:26:33	ga_s2bm_ard_3-2-1_51HVE_2023-06-01_final.stac-item
2023-06-04 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2023-06-04_final.stac-item
2023-06-21 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2023-06-21_final.stac-item
2023-06-23 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2023-06-23_final.stac-item
2023-07-26 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2023-07-26_final.stac-item
2023-10-02 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2023-10-02_final.stac-item
2024-01-04 11:15:11	ga_s2bm_ard_3-2-1_51JYK_2024-01-04_final.stac-item
2024-01-23 11:43:50	ga_s2bm_ard_3-2-1_50KQA_2024-01-23_final.stac-item
2024-04-29 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2024-04-29_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