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
2017-08-14 11:28:34	ga_s2bm_ard_3-2-1_51KWU_2017-08-14_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51HUE_2017-09-30_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JNM_2017-11-28_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KTQ_2017-12-25_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JXL_2017-12-29_final
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49JGK_2018-01-03_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51JVG_2018-01-21_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51JWL_2018-01-28_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51HWD_2018-02-17_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JVF_2018-02-20_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HNH_2018-02-23_final
2018-03-19 11:26:26	ga_s2bm_ard_3-2-1_51HWD_2018-03-19_final
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51JXG_2018-03-26_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KWT_2018-04-01_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_51HYD_2018-04-05_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HMK_2018-09-04_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KVU_2018-09-21_final
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JNM_2018-10-14_final
2018-12-07 11:34:19	ga_s2bm_ard_3-2-1_51JWN_2018-12-07_final
2018-12-16 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2018-12-16_final
2018-12-21 11:15:38	ga_s2bm_ard_3-2-1_51JXH_2018-12-21_final
2019-01-06 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2019-01-06_final
2019-01-26 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2019-01-26_final
2019-01-26 11:34:37	ga_s2bm_ard_3-2-1_50JRT_2019-01-26_final
2019-03-04 11:25:11	ga_s2bm_ard_3-2-1_51JWK_2019-03-04_final
2019-04-09 11:43:48	ga_s2bm_ard_3-2-1_51KUR_2019-04-09_final
2019-05-16 11:35:57	ga_s2bm_ard_3-2-1_51JVH_2019-05-16_final
2019-07-25 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2019-07-25_final
2019-08-14 11:35:33	ga_s2bm_ard_3-2-1_51JVJ_2019-08-14_final
2019-09-03 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2019-09-03_final
2019-10-20 11:25:14	ga_s2bm_ard_3-2-1_51JWK_2019-10-20_final
2019-11-15 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2019-11-15_final
2019-12-11 12:05:20	ga_s2bm_ard_3-2-1_50JKQ_2019-12-11_final
2020-01-14 11:44:54	ga_s2bm_ard_3-2-1_51JTL_2020-01-14_final
2020-03-01 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2020-03-01_final
2020-03-17 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2020-03-17_final
2020-05-06 11:52:31	ga_s2bm_ard_3-2-1_50KQF_2020-05-06_final.stac-item
2020-05-06 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2020-05-06_final
2020-05-14 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2020-05-14_final
2020-08-04 11:55:19	ga_s2bm_ard_3-2-1_50JPQ_2020-08-04_final
2020-08-11 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2020-08-11_final
2020-09-01 11:13:57	ga_s2bm_ard_3-2-1_51KZQ_2020-09-01_final
2020-10-04 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2020-10-04_final
2020-12-10 11:15:36	ga_s2bm_ard_3-2-1_51JYH_2020-12-10_final
2021-01-22 11:22:27	ga_s2bm_ard_3-2-1_51KYA_2021-01-22_final
2021-04-12 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2021-04-12_final
2021-04-22 11:25:00	ga_s2bm_ard_3-2-1_51JYK_2021-04-22_final
2021-05-18 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2021-05-18_final
2021-06-01 11:25:10	ga_s2bm_ard_3-2-1_51JXK_2021-06-01_final
2021-07-14 11:35:32	ga_s2bm_ard_3-2-1_51JUJ_2021-07-14_final
2021-07-16 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2021-07-16_final
2021-08-23 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2021-08-23_final
2021-10-09 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2021-10-09_final
2021-10-12 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2021-10-12_final
2021-10-21 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2021-10-21_final
2021-10-25 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-10-25_final
2022-02-22 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2022-02-22_final
2022-03-04 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2022-03-04_final
2022-03-27 11:53:33	ga_s2bm_ard_3-2-1_50KPB_2022-03-27_final
2022-04-09 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2022-04-09_final
2022-04-27 11:24:25	ga_s2bm_ard_3-2-1_51JZM_2022-04-27_final
2022-04-27 11:25:10	ga_s2bm_ard_3-2-1_51JVK_2022-04-27_final
2022-06-12 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2022-06-12_final
2022-06-19 11:33:46	ga_s2bm_ard_3-2-1_51KWR_2022-06-19_final
2022-08-05 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2022-08-05_final
2022-09-30 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2022-09-30_final.stac-item
2022-10-10 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2022-10-10_final.stac-item
2022-10-11 11:14:40	ga_s2bm_ard_3-2-1_51JYM_2022-10-11_final.stac-item
2022-10-23 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2022-10-23_final.stac-item
2022-11-06 11:32:35	ga_s2bm_ard_3-2-1_51KYV_2022-11-06_final.stac-item
2022-11-16 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2022-11-16_final.stac-item
2022-11-19 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2022-11-19_final.stac-item
2022-11-23 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2022-11-23_final.stac-item
2022-11-23 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2022-11-23_final.stac-item
2022-12-26 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2022-12-26_final.stac-item
2023-01-02 11:23:52	ga_s2bm_ard_3-2-1_51KYQ_2023-01-02_final.stac-item
2023-01-14 12:03:55	ga_s2bm_ard_3-2-1_50KKA_2023-01-14_final.stac-item
2023-01-24 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2023-01-24_final.stac-item
2023-02-11 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2023-02-11_final.stac-item
2023-04-24 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2023-04-24_final.stac-item
2023-05-31 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2023-05-31_final.stac-item
2023-06-04 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2023-06-04_final.stac-item
2023-06-17 11:43:52	ga_s2bm_ard_3-2-1_51KTR_2023-06-17_final.stac-item
2023-07-10 11:57:17	ga_s2bm_ard_3-2-1_50HKH_2023-07-10_nrt.stac-item
2023-08-09 11:56:05	ga_s2bm_ard_3-2-1_50JKN_2023-08-09_final.stac-item
2023-08-16 11:46:39	ga_s2bm_ard_3-2-1_50HPK_2023-08-16_final.stac-item
2023-08-29 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-08-29_final.stac-item
2023-09-15 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-09-15_final.stac-item
2023-09-18 11:57:16	ga_s2bm_ard_3-2-1_50HKH_2023-09-18_nrt.stac-item
2023-10-16 11:14:11	ga_s2bm_ard_3-2-1_51KZP_2023-10-16_final.stac-item
2023-10-24 12:14:15	ga_s2bm_ard_3-2-1_49KFQ_2023-10-24_nrt.stac-item
2023-10-31 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-10-31_final.stac-item
2023-11-04 11:44:34	ga_s2bm_ard_3-2-1_51JTN_2023-11-04_final.stac-item
2023-11-28 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2023-11-28_final.stac-item
2023-11-28 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2023-11-28_final.stac-item
2023-12-28 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2023-12-28_final.stac-item
2024-01-13 11:42:19	ga_s2bm_ard_3-2-1_51KWA_2024-01-13_final.stac-item
2024-01-27 11:22:25	ga_s2bm_ard_3-2-1_51KYA_2024-01-27_final.stac-item
2024-02-19 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2024-02-19_final.stac-item
2024-03-10 11:33:23	ga_s2bm_ard_3-2-1_51KWS_2024-03-10_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