Results: 31
Object - oriented hierarchical identification of earthquake - induced landslides based on high - resolution remote sensing images.
- Published in:
- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 74, doi. 10.6046/zrzyyg.2022013
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- Article
Remote sensing image classification based on DenseNet feature hashing.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 66, doi. 10.6046/zrzyyg.2022028
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- Article
Application of multi - scale and lightweight CNN in SAR image - based surface feature classification.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 27, doi. 10.6046/zrzyyg.2021421
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- Article
Spatial downscaling methods for the 2 - meter air temperature grid data based on multiple machine learning models.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 57, doi. 10.6046/zrzyyg.2022041
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- Article
An SAR and optical image fusion algorithm coupling non - local self - similarity and divergence.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 99, doi. 10.6046/zrzyyg.2021411
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- Article
Remote sensing - based information extraction of the geological landscape in the Zhada earth forest distribution area.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 148, doi. 10.6046/zrzyyg.2022056
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- Article
An information extraction model of roads from high - resolution remote sensing images based on improved Deeplabv3 +.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 107, doi. 10.6046/zrzyyg.2021460
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- Article
Information extraction method of mangrove forests based on GF - 6 data.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 41, doi. 10.6046/zrzyyg.2022048
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- Article
The extraction and analysis of Luding earthquake - induced landslide based on high - resolution optical satellite images.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 161, doi. 10.6046/zrzyyg.2022434
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- Article
Paleodrainage network in the Xiong' an New Area: Remote sensing - based reconstruction and relationship with town planning.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 132, doi. 10.6046/zrzyyg.2022003
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- Article
A forecasting method for water table depths in areas with power transmission lines based on remote sensing and deep learning models.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 213, doi. 10.6046/zrzyyg.2021450
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- Article
A unsupervised quality valuation method for multi - scale remote sensing image segmentation based on boundary information.
- Published in:
- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 35, doi. 10.6046/zrzyyg.2021444
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- Article
A review of pansharpening methods based on deep learning.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 1, doi. 10.6046/zrzyyg.2021433
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- Article
Forest classification for Motuo County: A method based on spatio - temporal - spectral characteristics.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 180, doi. 10.6046/zrzyyg.2022016
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- Article
A method for the quality inspection and update of cadastral data based on spatio - temporal knowledge graphs.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 243, doi. 10.6046/zrzyyg.2022022
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- Article
Time - series InSAR - based monitoring and analysis of surface deformation in the Axi mining area, Xinjiang.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 171, doi. 10.6046/zrzyyg.2021415
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- Article
Sentinel -1A based flood inundation monitoring in Anhui Province during the plum rain period of 2020.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 140, doi. 10.6046/zrzyyg.2022052
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- Article
Inversion of soil salinity of an oasis in an arid area based on Landsat8 OLI images.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 189, doi. 10.6046/zrzyyg.2022047
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- Article
A GEE - based study on the temporal and spatial variations in the carbon source/sink function of vegetation in the Three - River Headwaters region.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 231, doi. 10.6046/zrzyyg.2022042
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- Article
A method for soil roughness measurement based on UAV point cloud data.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 115, doi. 10.6046/zrzyyg.2021461
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- Article
Simulations of the low - carbon land use scenarios of Beijing based on the improved FLUS model.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 81, doi. 10.6046/zrzyyg.2022065
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- Article
A dead tree detection algorithm based on improved YOLOv4 - tiny for UAV images.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 90, doi. 10.6046/zrzyyg.2022018
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- Article
Extraction and analysis of soil salinization information of Alar reclamation area based on spectral index modeling.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 205, doi. 10.6046/zrzyyg.2021427
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- Article
A geographic data fusion and update method based on geometric and attribute matching.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 251, doi. 10.6046/zrzyyg.2022006
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- Article
A space - based remote sensing service mode based on cloud + terminals.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 258, doi. 10.6046/zrzyyg.2021428
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- Article
The remote sensing inversion and validation of land surface temperature based on ASTER data: A case study of the Heihe River basin.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 198, doi. 10.6046/zrzyyg.2021414
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- Article
A 3S - based study on the current status and countermeasures for the collapse of mined - out areas in Anhui Province.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 155, doi. 10.6046/zrzyyg.2021429
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- Article
A hyperspectral analysis of alteration zoning in the Hadamengou gold deposit and its significance for ore prospecting.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 123, doi. 10.6046/zrzyyg.2022072
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- Article
Recent progress in chromaticity remote sensing of inland and nearshore water bodies.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 15, doi. 10.6046/zrzyyg.2022009
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- Article
Spatial - temporal dynamics of ecological carrying capacity of the northeastern margin of the Ulan Buh Desert.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 222, doi. 10.6046/zrzyyg.2021446
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- Article
A remote sensing classification method for cyanobacteria using Bayesian optimization algorithm.
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- Remote Sensing for Natural Resources, 2023, v. 35, n. 1, p. 49, doi. 10.6046/zrzyyg.2022045
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- Article