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
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JNS_2017-11-08_final
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_50JKQ_2017-11-11_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50JKS_2017-12-01_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50JKT_2017-12-11_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JNQ_2018-02-26_final
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KHQ_2018-03-01_final
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JLT_2018-03-18_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HQK_2018-03-22_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KGQ_2018-03-31_final
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2018-04-10_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JNN_2018-05-07_final
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50JKM_2018-05-20_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49KHS_2018-05-23_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50JPR_2018-06-03_final
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JMR_2018-06-06_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHP_2018-07-09_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JNQ_2018-07-13_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50JLQ_2018-07-26_final
2018-10-24 11:53:29	ga_s2bm_ard_3-2-1_50JLT_2018-10-24_final
2019-01-09 11:45:58	ga_s2bm_ard_3-2-1_50JNN_2019-01-09_final
2019-02-08 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2019-02-08_final
2019-02-11 11:54:58	ga_s2bm_ard_3-2-1_50JLS_2019-02-11_final
2019-02-11 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2019-02-11_final
2019-02-18 11:46:37	ga_s2bm_ard_3-2-1_50HMK_2019-02-18_final
2019-02-24 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2019-02-24_final
2019-03-10 11:45:04	ga_s2bm_ard_3-2-1_50JPR_2019-03-10_final
2019-05-05 12:04:47	ga_s2bm_ard_3-2-1_50JLT_2019-05-05_final
2019-05-09 11:46:49	ga_s2bm_ard_3-2-1_50HMK_2019-05-09_final
2019-05-09 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-05-09_final
2019-05-25 12:05:02	ga_s2bm_ard_3-2-1_50JLS_2019-05-25_final
2019-07-01 11:55:15	ga_s2bm_ard_3-2-1_50JNR_2019-07-01_final
2019-07-11 11:54:54	ga_s2bm_ard_3-2-1_50JLT_2019-07-11_final
2019-08-13 12:04:49	ga_s2bm_ard_3-2-1_50JKT_2019-08-13_final
2019-10-19 11:55:40	ga_s2bm_ard_3-2-1_50JMP_2019-10-19_final
2019-11-11 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2019-11-11_final
2019-11-28 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2019-11-28_final
2020-01-14 11:45:15	ga_s2bm_ard_3-2-1_50JPQ_2020-01-14_final
2020-01-17 11:54:45	ga_s2bm_ard_3-2-1_50JNS_2020-01-17_final
2020-02-13 11:45:02	ga_s2bm_ard_3-2-1_50JPR_2020-02-13_final
2020-02-22 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2020-02-22_final
2020-02-26 11:54:52	ga_s2bm_ard_3-2-1_50JMS_2020-02-26_final
2020-03-04 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2020-03-04_final
2020-03-24 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2020-03-24_final
2020-03-27 11:55:10	ga_s2bm_ard_3-2-1_50JLR_2020-03-27_final
2020-04-26 11:54:46	ga_s2bm_ard_3-2-1_50JNS_2020-04-26_final
2020-05-19 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2020-05-19_final
2020-05-23 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2020-05-23_final
2020-07-05 11:54:58	ga_s2bm_ard_3-2-1_50JMS_2020-07-05_final
2020-08-27 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2020-08-27_final
2020-08-27 12:05:00	ga_s2bm_ard_3-2-1_50JKS_2020-08-27_final
2020-09-06 12:05:29	ga_s2bm_ard_3-2-1_50JKQ_2020-09-06_final
2020-09-26 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2020-09-26_final
2020-10-03 11:54:44	ga_s2bm_ard_3-2-1_50JMT_2020-10-03_final
2020-10-07 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2020-10-07_final.stac-item
2020-10-10 11:45:10	ga_s2bm_ard_3-2-1_50JPR_2020-10-10_final
2020-10-30 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2020-10-30_final
2020-11-09 11:45:26	ga_s2bm_ard_3-2-1_50JNQ_2020-11-09_final
2020-12-19 11:46:22	ga_s2bm_ard_3-2-1_50HPK_2020-12-19_final
2021-01-08 11:45:24	ga_s2bm_ard_3-2-1_50JNQ_2021-01-08_final
2021-01-14 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-01-14_final
2021-03-09 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-03-09_final
2021-03-29 11:45:52	ga_s2bm_ard_3-2-1_50JNN_2021-03-29_final
2021-06-23 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2021-06-23_final
2021-07-13 12:04:51	ga_s2bm_ard_3-2-1_50JMS_2021-07-13_final
2021-08-13 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2021-08-13_final
2021-09-05 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2021-09-05_final
2021-09-11 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2021-09-11_final
2021-12-20 12:04:08	ga_s2bm_ard_3-2-1_49KHQ_2021-12-20_final
2021-12-30 12:04:09	ga_s2bm_ard_3-2-1_49KHQ_2021-12-30_final
2022-03-11 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2022-03-11_final.stac-item
2022-03-14 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2022-03-14_final
2022-03-17 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2022-03-17_final
2022-03-24 11:45:04	ga_s2bm_ard_3-2-1_50JPR_2022-03-24_final
2022-03-30 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2022-03-30_final
2022-07-08 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2022-07-08_final
2022-07-15 11:54:56	ga_s2bm_ard_3-2-1_50JNS_2022-07-15_final
2022-07-22 11:45:41	ga_s2bm_ard_3-2-1_50JPP_2022-07-22_final
2022-08-07 12:05:01	ga_s2bm_ard_3-2-1_50JKS_2022-08-07_final
2022-09-16 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2022-09-16_final.stac-item
2022-10-03 11:55:19	ga_s2bm_ard_3-2-1_50JNQ_2022-10-03_final.stac-item
2022-10-13 11:55:48	ga_s2bm_ard_3-2-1_50JNN_2022-10-13_final.stac-item
2022-10-13 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2022-10-13_final.stac-item
2022-11-25 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2022-11-25_final.stac-item
2022-12-15 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2022-12-15_final.stac-item
2023-04-01 11:55:42	ga_s2bm_ard_3-2-1_50JMP_2023-04-01_final.stac-item
2023-04-04 12:04:57	ga_s2bm_ard_3-2-1_50JLS_2023-04-04_final.stac-item
2023-04-07 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2023-04-07_final.stac-item
2023-06-20 11:54:56	ga_s2bm_ard_3-2-1_50JNS_2023-06-20_final.stac-item
2023-06-20 11:55:32	ga_s2bm_ard_3-2-1_50JLQ_2023-06-20_final.stac-item
2023-06-23 12:05:01	ga_s2bm_ard_3-2-1_50JKS_2023-06-23_final.stac-item
2023-08-02 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-08-02_final.stac-item
2023-08-06 11:46:46	ga_s2bm_ard_3-2-1_50HMK_2023-08-06_final.stac-item
2023-08-13 11:37:32	ga_s2bm_ard_3-2-1_50HNG_2023-08-13_final.stac-item
2023-09-25 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2023-09-25_final.stac-item
2023-11-07 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2023-11-07_final.stac-item
2023-11-17 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2023-11-17_final.stac-item
2023-12-10 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2023-12-10_final.stac-item
2024-01-09 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2024-01-09_final.stac-item
2024-02-12 11:46:02	ga_s2bm_ard_3-2-1_50JNN_2024-02-12_final.stac-item
2024-03-03 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2024-03-03_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