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Xinjiang 10-meter ecological remote sensing product set
Publish time:2025-12-04 10:31
40
datasets
24065
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287
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57.0 TiB
file size
The data comes from the results of the third comprehensive scientific expedition in Xinjiang. Including orthophoto, vegetation index, surface cover, vegetation coverage, leaf area index, land biomass, water transparency, water suspended matter concentration, water chlorophyll, soil salinity. The data period is 2019-2024, with 1 issue per month and 10 issues per year.
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Chlorophyll a dataset of 10m water body in Xinjiang (April to October 2024)
This data uses 2024 Sentinel-2 optical satellite data as the data source, and a sampling random forest regression (RFR) method is used to build a remote sensing estimation model for chlorophyll a concentration in lake waters in Xinjiang. The data is Abers projection in the CGCS2000 coordinate system with an accuracy of 10 meters. The numerical coefficient is 0.001, that is, the data pixel va...
file size:
1.8 GiB
visits:
531
created time:
2025-11-05
Chlorophyll a dataset of 10m water body in Xinjiang (April to October 2022)
This data uses Sentinel-2 optical satellite data from April to October 2022 as the data source, and a sampling random forest regression (RFR) method is used to build a remote sensing estimation model of chlorophyll a concentration in Xinjiang lakes. The data is Abers projection in the CGCS2000 coordinate system with an accuracy of 10 meters.
file size:
3.9 GiB
visits:
567
created time:
2025-11-05
Chlorophyll a dataset of 10m water body in Xinjiang (April to October 2021)
This data uses Sentinel 2 optical satellite data from April to October 2021 as the data source, and a sampling random forest regression (RFR) method is used to build a remote sensing estimation model for chlorophyll a concentration in Xinjiang lakes. The data is Abers projection in the CGCS2000 coordinate system with an accuracy of 10 meters.
file size:
3.9 GiB
visits:
673
created time:
2025-11-05
Chlorophyll a dataset of 10m water body in Xinjiang (April to October 2023)
This data uses 2023 Sentinel-2 optical satellite data as the data source, and a sampling random forest regression (RFR) method is used to build a remote sensing estimation model for chlorophyll a concentration in Xinjiang lakes. The data is Abers projection in the CGCS2000 coordinate system with an accuracy of 10 meters. The numerical coefficient is 0.001, that is, the data pixel value is mu...
file size:
1.8 GiB
visits:
593
created time:
2025-11-05
Xinjiang 10m Land Cover Data Set (2023)
This data uses the 2023 Sentinel 2 optical satellite data as the data source, and divides the entire Xinjiang into different areas and different types of layer layers according to regions and order. Then select the appropriate deep learning model to map each type of element in turn, and finally merge each land type to form the surface cover. The data is in the CGCS2000 coordinate system, Abe...
file size:
1.8 GiB
visits:
644
created time:
2025-11-05
Xinjiang 10m Land Cover Data Set (2021)
This data uses the 2021 Sentinel 2 optical satellite data as the data source, and divides the entire Xinjiang into different areas and different types of layer layers according to regions and order. Then select the appropriate deep learning model to map each type of element in turn, and finally merge each land type to form the surface cover. The data is in the CGCS2000 coordinate system, Abe...
file size:
47.4 GiB
visits:
813
created time:
2025-09-03
Xinjiang 10m terrestrial biomass dataset (April to October 2022)
This data is for further processing using the sentinel2 reflectance product data. The original data is the 10-meter monthly Sentinel 2 reflectance mosaic data set in Xinjiang. The surface biomass data is extracted through machine learning. The quality control mainly uses the 2020-2021 surface biomass measurement data in Xinjiang to select training samples and verification samples, and at the...
file size:
1.3 TiB
visits:
614
created time:
2025-11-04
Xinjiang 10m terrestrial biomass dataset (April to October 2023)
This data is for further processing using the sentinel2 reflectance product data. The original data is the 10-meter monthly Sentinel 2 reflectance mosaic data set in Xinjiang. The surface biomass data is extracted through machine learning. The quality control mainly uses the 2021-2023 surface biomass measurement data in Xinjiang for training samples and verification samples, and at the same ...
file size:
1.4 TiB
visits:
546
created time:
2025-11-04
Xinjiang 10m terrestrial biomass dataset (April to October 2024)
This data is for further processing using sentinel-2 reflectance product data. The original data is the 10-meter monthly Sentinel-2 reflectance mosaic data set in Xinjiang. The land biomass is extracted through machine learning. The quality control mainly uses the 2021-2022 land biomass measurement data for training samples and verification samples selection, and part of it uses soil quality...
file size:
1.4 TiB
visits:
830
created time:
2025-11-05
Xinjiang 10m terrestrial biomass dataset (April to October 2021)
This data is for further processing using the sentinel2 reflectance product data. The original data is the 10-meter monthly Sentinel 2 reflectance mosaic data set in Xinjiang. The surface biomass data is extracted through machine learning. The quality control mainly uses the 2020-2021 surface biomass measurement data in Xinjiang to select training samples and verification samples, and at the...
file size:
1.3 TiB
visits:
407
created time:
2025-11-04

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