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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50JML_2017-08-20_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JPM_2017-08-27_final
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JMN_2017-09-09_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JPL_2017-09-16_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JML_2017-11-08_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JHM_2017-12-11_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JLL_2017-12-28_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HPG_2018-01-04_final.stac-item
2018-01-27 11:50:39	ga_s2bm_ard_3-2-1_50JLQ_2018-01-27_final
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGN_2018-02-09_final
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JLP_2018-03-08_final
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49JGL_2018-04-03_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50JMM_2018-06-03_final
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50HMG_2018-08-25_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JNN_2018-09-04_final
2018-11-30 11:46:47	ga_s2bm_ard_3-2-1_50HNJ_2018-11-30_final
2018-12-10 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2018-12-10_final
2018-12-13 11:55:35	ga_s2bm_ard_3-2-1_50JLP_2018-12-13_final
2018-12-23 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2018-12-23_final
2018-12-30 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2018-12-30_final
2019-02-01 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-02-01_final
2019-03-23 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2019-03-23_final
2019-03-26 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2019-03-26_final
2019-04-02 11:55:09	ga_s2bm_ard_3-2-1_50JNR_2019-04-02_final
2019-04-22 11:56:14	ga_s2bm_ard_3-2-1_50JMM_2019-04-22_final
2019-09-02 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2019-09-02_final
2019-09-09 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2019-09-09_final
2019-09-12 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2019-09-12_final
2019-09-22 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2019-09-22_final
2019-10-19 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2019-10-19_final.stac-item
2019-10-23 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2019-10-23_final
2019-10-26 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2019-10-26_final
2019-11-01 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2019-11-01_final
2019-11-15 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2019-11-15_final
2019-11-18 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2019-11-18_final
2019-12-05 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2019-12-05_final
2020-01-14 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2020-01-14_final
2020-01-20 12:04:51	ga_s2bm_ard_3-2-1_50JKS_2020-01-20_final
2020-03-04 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-03-04_final
2020-03-07 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2020-03-07_final
2020-03-23 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-03-23_final
2020-03-24 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2020-03-24_final.stac-item
2020-04-30 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2020-04-30_final
2020-06-22 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2020-06-22_final
2020-07-09 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2020-07-09_final
2020-07-28 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-07-28_final
2020-08-17 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-08-17_final
2020-09-23 11:56:24	ga_s2bm_ard_3-2-1_50JML_2020-09-23_final
2020-10-13 11:56:08	ga_s2bm_ard_3-2-1_50JNM_2020-10-13_final
2020-10-23 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2020-10-23_final
2020-11-02 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2020-11-02_final
2020-11-09 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2020-11-09_final
2020-11-12 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2020-11-12_final
2020-11-18 12:14:13	ga_s2bm_ard_3-2-1_49KHQ_2020-11-18_final
2020-12-02 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2020-12-02_final
2020-12-19 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2020-12-19_final
2021-01-04 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-01-04_final
2021-01-31 11:56:22	ga_s2bm_ard_3-2-1_50JML_2021-01-31_final
2021-02-23 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-02-23_final
2021-02-27 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-02-27_final
2021-03-05 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2021-03-05_final
2021-03-22 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2021-03-22_final
2021-04-28 11:46:18	ga_s2bm_ard_3-2-1_50JNL_2021-04-28_final
2021-07-07 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2021-07-07_final.stac-item
2021-08-02 12:04:51	ga_s2bm_ard_3-2-1_50JMS_2021-08-02_final
2021-10-01 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2021-10-01_final
2022-02-15 11:56:16	ga_s2bm_ard_3-2-1_50JML_2022-02-15_final
2022-02-19 11:37:15	ga_s2bm_ard_3-2-1_50HPG_2022-02-19_final.stac-item
2022-03-03 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-03-03_final
2022-04-30 11:37:14	ga_s2bm_ard_3-2-1_50HPG_2022-04-30_final.stac-item
2022-06-15 11:54:55	ga_s2bm_ard_3-2-1_50JNS_2022-06-15_final
2022-06-18 12:04:50	ga_s2bm_ard_3-2-1_50JKT_2022-06-18_final
2022-06-22 11:45:58	ga_s2bm_ard_3-2-1_50JNN_2022-06-22_final
2022-08-14 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2022-08-14_final
2022-10-03 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2022-10-03_final.stac-item
2022-10-13 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2022-10-13_final.stac-item
2022-11-05 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2022-11-05_final.stac-item
2022-11-29 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2022-11-29_final.stac-item
2022-12-02 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2022-12-02_final.stac-item
2022-12-06 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2022-12-06_final.stac-item
2023-03-09 11:46:12	ga_s2bm_ard_3-2-1_50JNM_2023-03-09_final.stac-item
2023-04-28 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2023-04-28_final.stac-item
2023-05-14 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2023-05-14_final.stac-item
2023-06-17 11:45:41	ga_s2bm_ard_3-2-1_50JPP_2023-06-17_final.stac-item
2023-07-17 11:46:35	ga_s2bm_ard_3-2-1_50HQK_2023-07-17_final.stac-item
2023-07-23 12:04:24	ga_s2bm_ard_3-2-1_49KGQ_2023-07-23_final.stac-item
2023-08-19 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-08-19_final.stac-item
2023-08-26 11:46:34	ga_s2bm_ard_3-2-1_50HQK_2023-08-26_final.stac-item
2023-09-08 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-09-08_final.stac-item
2023-09-11 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2023-09-11_final.stac-item
2024-01-09 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2024-01-09_final.stac-item
2024-02-02 11:46:58	ga_s2bm_ard_3-2-1_50HNH_2024-02-02_final.stac-item
2024-02-08 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2024-02-08_final.stac-item
2024-02-18 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2024-02-18_final.stac-item
2024-02-22 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2024-02-22_final.stac-item
2024-03-03 11:45:51	ga_s2bm_ard_3-2-1_50JNN_2024-03-03_final.stac-item
2024-03-23 11:46:26	ga_s2bm_ard_3-2-1_50JML_2024-03-23_final.stac-item
2024-03-30 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2024-03-30_final.stac-item
2024-04-05 11:55:40	ga_s2bm_ard_3-2-1_50JLP_2024-04-05_final.stac-item
2024-04-05 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2024-04-05_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