Čájehuvvojit 1 - 20 oktiibuot 22 bohtosis ohcui "red-edge band"', ohcanáigi: 0,74s Aiddostahte ozu
  1. 1
    Mapping Mangrove Density from Rapideye Data in Central America

    Mapping Mangrove Density from Rapideye Data in Central America Dahkki Son Nguyen-Thanh, Chen Chi-Farn, Chen Cheng-Ru

    Almmustuhtton 2017-06-01
    Fáttát:
    Viečča ollesdeavstta
    Artihkal
  2. 2
    Aboveground Biomass Mapping of Crops Supported by Improved CASA Model and Sentinel-2 Multispectral Imagery

    Aboveground Biomass Mapping of Crops Supported by Improved CASA Model and Sentinel-2 Multispectral Imagery Dahkki Peng Fang, Nana Yan, Panpan Wei, Yifan Zhao, Xiwang Zhang

    Almmustuhtton 2021-07-01
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    Viečča ollesdeavstta
    Artihkal
  3. 3
    Remote sensing retrieval of winter wheat leaf area index and canopy chlorophyll density at different growth stages

    Remote sensing retrieval of winter wheat leaf area index and canopy chlorophyll density at different growth stages Dahkki Naichen Xing, Wenjiang Huang, Huichun Ye, Yingying Dong, Weiping Kong, Yu Ren, Qiaoyun Xie

    Almmustuhtton 2021-07-01
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    Viečča ollesdeavstta
    Artihkal
  4. 4
    Extraction of fractional vegetation cover in arid desert area based on Chinese GF-6 satellite

    Extraction of fractional vegetation cover in arid desert area based on Chinese GF-6 satellite Dahkki Deng Zhengdong, Lu Zhao, Wang Guangyuan, Wang Daqing, Ding Zhibin, Zhao Hongfei, Xu Haoli, Shi Yue, Cheng Zijian, Zhao Xiaoning

    Almmustuhtton 2021-04-01
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    Viečča ollesdeavstta
    Artihkal
  5. 5
    Effect of the Red-Edge Band from Drone Altum Multispectral Camera in Mapping the Canopy Cover of Winter Wheat, Chickweed, and Hairy Buttercup

    Effect of the Red-Edge Band from Drone Altum Multispectral Camera in Mapping the Canopy Cover of Winter Wheat, Chickweed, and Hairy Buttercup Dahkki Clement E. Akumu, Sam Dennis

    Almmustuhtton 2023-04-01
    Fáttát:
    Viečča ollesdeavstta
    Artihkal
  6. 6
    Leaf chlorophyll content retrieval of wheat by simulated RapidEye, Sentinel-2 and EnMAP data

    Leaf chlorophyll content retrieval of wheat by simulated RapidEye, Sentinel-2 and EnMAP data Dahkki Bei CUI, Qian-jun ZHAO, Wen-jiang HUANG, Xiao-yu SONG, Hui-chun YE, Xian-feng ZHOU

    Almmustuhtton 2019-06-01
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    Viečča ollesdeavstta
    Artihkal
  7. 7
    Explaining Leaf Nitrogen Distribution in a Semi-Arid Environment Predicted on Sentinel-2 Imagery Using a Field Spectroscopy Derived Model

    Explaining Leaf Nitrogen Distribution in a Semi-Arid Environment Predicted on Sentinel-2 Imagery Using a Field Spectroscopy Derived Model Dahkki Abel Ramoelo, Moses Azong Cho

    Almmustuhtton 2018-02-01
    Fáttát:
    Viečča ollesdeavstta
    Artihkal
  8. 8
    Crop Classification Using Multi-Temporal Sentinel-2 Data in the Shiyang River Basin of China

    Crop Classification Using Multi-Temporal Sentinel-2 Data in the Shiyang River Basin of China Dahkki Zhiwei Yi, Li Jia, Qiting Chen

    Almmustuhtton 2020-12-01
    Fáttát:
    Viečča ollesdeavstta
    Artihkal
  9. 9
    Application of red edge band in remote sensing extraction of surface water body: a case study based on GF-6 WFV data in arid area

    Application of red edge band in remote sensing extraction of surface water body: a case study based on GF-6 WFV data in arid area Dahkki Zhao Lu, Daqing Wang, Zhengdong Deng, Yue Shi, Zhibin Ding, Hao Ning, Hongfei Zhao, Jiazheng Zhao, Haoli Xu, Xiaoning Zhao

    Almmustuhtton 2021-12-01
    Fáttát:
    Viečča ollesdeavstta
    Artihkal
  10. 10
    Remote Sensing Monitoring of Rice Fields: Towards Assessing Water Saving Irrigation Management Practices

    Remote Sensing Monitoring of Rice Fields: Towards Assessing Water Saving Irrigation Management Practices Dahkki Isabel Pedroso de Lima, Isabel Pedroso de Lima, Romeu Gerardo Jorge, Romeu Gerardo Jorge, João L. M. P de Lima, João L. M. P de Lima

    Almmustuhtton 2021-10-01
    Fáttát:
    Viečča ollesdeavstta
    Artihkal
  11. 11
    Analysis of the Effectiveness of the Red-Edge Bands of GF-6 Imagery in Forest Health Discrimination

    Analysis of the Effectiveness of the Red-Edge Bands of GF-6 Imagery in Forest Health Discrimination Dahkki Jiahui Chen, Hanqiu Xu

    Almmustuhtton 2024-01-01
    Fáttát:
    Viečča ollesdeavstta
    Artihkal
  12. 12
    Estimating mangrove leaf area index based on red-edge vegetation indices: A comparison among UAV, WorldView-2 and Sentinel-2 imagery

    Estimating mangrove leaf area index based on red-edge vegetation indices: A comparison among UAV, WorldView-2 and Sentinel-2 imagery Dahkki Xianxian Guo, Mao Wang, Mingming Jia, Wenqing Wang

    Almmustuhtton 2021-12-01
    Fáttát:
    Viečča ollesdeavstta
    Artihkal
  13. 13
    Estimating the Urban Fractional Vegetation Cover Using an Object-Based Mixture Analysis Method and Sentinel-2 MSI Imagery

    Estimating the Urban Fractional Vegetation Cover Using an Object-Based Mixture Analysis Method and Sentinel-2 MSI Imagery Dahkki Yaotong Cai, Meng Zhang, Hui Lin

    Almmustuhtton 2020-01-01
    Fáttát:
    Viečča ollesdeavstta
    Artihkal
  14. 14
    Estimating the Growing Stem Volume of Coniferous Plantations Based on Random Forest Using an Optimized Variable Selection Method

    Estimating the Growing Stem Volume of Coniferous Plantations Based on Random Forest Using an Optimized Variable Selection Method Dahkki Fugen Jiang, Mykola Kutia, Arbi J. Sarkissian, Hui Lin, Jiangping Long, Hua Sun, Guangxing Wang

    Almmustuhtton 2020-12-01
    Fáttát:
    Viečča ollesdeavstta
    Artihkal
  15. 15
    Improved Surface Soil Moisture Estimation Model in Semi-Arid Regions Using the Vegetation Red-Edge Band Sensitive to Plant Growth

    Improved Surface Soil Moisture Estimation Model in Semi-Arid Regions Using the Vegetation Red-Edge Band Sensitive to Plant Growth Dahkki Rencai Lin, He Chen, Zheng Wei, Yinong Li, Baozhong Zhang, Haoran Sun, Minghan Cheng

    Almmustuhtton 2022-06-01
    Fáttát:
    Viečča ollesdeavstta
    Artihkal
  16. 16
    Development of soil water content retrieving method for irrigation agriculture areas using the red-edge band of Gaofen-6 satellite

    Development of soil water content retrieving method for irrigation agriculture areas using the red-edge band of Gaofen-6 satellite Dahkki Rong Wang, Hongli Zhao, Chi Zhang, Zhen Hao, Aiqi Chen, Ran Xu, Junyan He

    Almmustuhtton 2024-10-01
    Fáttát: “…Red-Edge Band…”
    Viečča ollesdeavstta
    Artihkal
  17. 17
    Assessment of Carbon Sequestration Capacity of <i>E. ulmoides</i> in Ruyang County and Its Ecological Suitability Zoning Based on Satellite Images of GF-6

    Assessment of Carbon Sequestration Capacity of <i>E. ulmoides</i> in Ruyang County and Its Ecological Suitability Zoning Based on Satellite Images of GF-6 Dahkki Juan Wang, Xinxin Wei, Shuying Sun, Minhui Li, Tingting Shi, Xiaobo Zhang

    Almmustuhtton 2023-09-01
    Fáttát:
    Viečča ollesdeavstta
    Artihkal
  18. 18
    The Value of Sentinel-2 Spectral Bands for the Assessment of Winter Wheat Growth and Development

    The Value of Sentinel-2 Spectral Bands for the Assessment of Winter Wheat Growth and Development Dahkki Andrew Revill, Anna Florence, Alasdair MacArthur, Stephen P. Hoad, Robert M. Rees, Mathew Williams

    Almmustuhtton 2019-08-01
    Fáttát:
    Viečča ollesdeavstta
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  19. 19
    Mapping Eucalyptus plantation in Guangxi, China by using knowledge-based algorithms and PALSAR-2, Sentinel-2, and Landsat images in 2020

    Mapping Eucalyptus plantation in Guangxi, China by using knowledge-based algorithms and PALSAR-2, Sentinel-2, and Landsat images in 2020 Dahkki Chenchen Zhang, Xiangming Xiao, Liangcheng Zhao, Yuanwei Qin, Russell Doughty, Xinxin Wang, Jinwei Dong, Xuebin Yang

    Almmustuhtton 2023-06-01
    Fáttát:
    Viečča ollesdeavstta
    Artihkal
  20. 20
    Mapping Plastic Greenhouses with Two-Temporal Sentinel-2 Images and 1D-CNN Deep Learning

    Mapping Plastic Greenhouses with Two-Temporal Sentinel-2 Images and 1D-CNN Deep Learning Dahkki Haoran Sun, Lei Wang, Rencai Lin, Zhen Zhang, Baozhong Zhang

    Almmustuhtton 2021-07-01
    Fáttát:
    Viečča ollesdeavstta
    Artihkal

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