Works matching IS 2097034X AND DT 2022 AND VI 34 AND IP 2
Results: 35
Monitoring of nighttime light pollution in Nanjing City based on Luojia 1-01 remote sensing data.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 289, doi. 10.6042/zrzyyg.2021380
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Response mechanism of ecosystem service value to urban and rural construction land expansion in the three outlets of the southern Jingjiang River.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 278, doi. 10.6042/zrzyyg.2021180
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Time series calculation of remote sensing ecological index based on GEE.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 271, doi. 10.6042/zrzyyg.2021150
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Spatiotemporal analysis of drought in sugarcane planting areas of Guangxi by remote sensing.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 261, doi. 10.6042/zrzyyg.2021191
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- Article
Monitoring of spatial - temporal dynamic changes in water surface in marshes based on multi - temporal Sentinel -1A data.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 251, doi. 10.6042/zrzyyg.2021205
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- Article
Recognition of cotton distribution based on GF - 2 images and Unet model.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 242, doi. 10.6042/zrzyyg.2021135
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- Article
Analysis on water conservation function using remote sensing method in the Three Gorges Reservoir area (Chongqing section).
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 184, doi. 10.6042/zrzyyg.2021182
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Landslide identification using remote sensing images and DEM based on convolutional neural network: A case study of loess landslide.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 224, doi. 10.6042/zrzyyg.2021204
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- Article
Classification of tropical natural forests in Hainan Island based on multi - temporal Landsat8 remote sensing images.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 215, doi. 10.6042/zrzyyg.2021156
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- Article
MODIS - based comprehensive assessment and spatial - temporal change monitoring of ecological quality in Beijing - Tianjin - Hebei region.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 203, doi. 10.6042/zrzyyg.2021224
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- Article
Remote sensing evaluation of mine geological environment of Hainan Island in 2018 and ecological restoration countermeasures.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 194, doi. 10.6042/zrzyyg.2021136
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- Article
Research on urban development and security in border areas of China based on deep learning.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 231, doi. 10.6042/zrzyyg.2021157
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- Article
Application of the software development kit of GXL in the processing of domestic satellite data.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 176, doi. 10.6042/zrzyyg.2021206
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- Article
Lightweight DeepLabv3+ building extraction method from remote sensing images.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 128, doi. 10.6046/zrzyg.2021219
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- Article
Classification of tea garden based on multi - source high - resolution satellite images using multi - dimensional convolutional neural network.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 152, doi. 10.6042/zrzyyg.2021202
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- Article
Application of mining collapse recognition technology based on multi - source remote sensing.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 162, doi. 10.6042/zrzyyg.2021195
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Application of label clustering loss in the classification of remote sensing images.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 144, doi. 10.6046/zrzyg.2021147
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- Article
Spatiotemporal evolution of impervious surface and the driving factors in Chenggong District, Kunming City.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 136, doi. 10.6046/zrzyg.2021187
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Remote sensing - based green space evolution in Tangshan and its influence on heat island effect.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 168, doi. 10.6042/zrzyyg.2021198
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- Article
Thick cloud removal of remote sensing images based on multi - reference image information fusion.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 121, doi. 10.6046/zrzyg.2021209
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Residual dual regression network for super - resolution reconstruction of remote sensing images.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 112, doi. 10.6046/zrzyg.2021208
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Revision of solar radiation product ERA5 based on random forest algorithm.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 105, doi. 10.6046/zrzyg.2021151
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- Article
High spatial resolution automatic detection of bridges with high spatial resolution remote sensing images based on random erasure and YOLOv4.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 97, doi. 10.6046/zrzyg.2021130
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Cloud detection algorithm of remote sensing image based on DenseNet and attention mechanism.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 88, doi. 10.6046/zrzyg.2021178
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A water body identification model for lakes in Hoh Xil based on GF -6 WFV satellite data.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 80, doi. 10.6046/zrzyg.2021125
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A method for determining suitable scales for vegetation remote sensing based on the spatial distribution of leaves.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 72, doi. 10.6046/zrzyg.2021148
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Method to calibrate the coordinates of transmission towers based on satellite images.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 63, doi. 10.6046/zrzyg.2021207
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Method to calibrate the coordinates of transmission towers based on satellite images.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 63, doi. 10.6046/zrzyg.2021207
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Construction of new vegetation water index based on PROSPECT - VISIR model.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 56, doi. 10.6046/zrzyg.2021216
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- Article
Knowledge - based remote sensing image fusion method.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 47, doi. 10.6046/zrzyg.2021179
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Principal component selection method for hyperspectral remote sensing images based on spatial statistics.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 37, doi. 10.6046/zrzyg.2021214
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A remote sensing method for judging the cross - border mining of oil and gas mines.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 30, doi. 10.6042/zrzyyg.2021140
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- Article
Method for dynamic prediction of mining subsidence based on the SBAS - InSAR technology and the logistic model.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 20, doi. 10.6046/zrzyg.2021354
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Research progress and development trend of remote sensing information extraction methods of vegetation.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 10, doi. 10.6046/zrzyg.2021137
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A review of remote sensing inversion methods for estimating soil water content based on hyperspectral characteristics.
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- Remote Sensing for Natural Resources, 2022, v. 34, n. 2, p. 1, doi. 10.6042/zrzyyg.2021126
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- Article