Characterization and mapping of photovoltaic solar power plants by Landsat imagery and random forest: A case study in Gansu Province, China

[1]  J. Rogan,et al.  Mapping photovoltaic power stations and assessing their environmental impacts from multi-sensor datasets in Massachusetts, United States , 2023, Remote Sensing Applications: Society and Environment.

[2]  Xiangming Xiao,et al.  Rapid and large changes in coastal wetland structure in China's four major river deltas , 2023, Global change biology.

[3]  Jinwei Dong,et al.  Improved maps of surface water bodies, large dams, reservoirs, and lakes in China , 2022, Earth System Science Data.

[4]  Zhenliang Yin,et al.  Impacts of Land-Use Change on the Spatio-Temporal Patterns of Terrestrial Ecosystem Carbon Storage in the Gansu Province, Northwest China , 2022, Remote. Sens..

[5]  Jiangtao Peng,et al.  Marine floating raft aquaculture extraction of hyperspectral remote sensing images based decision tree algorithm , 2022, Int. J. Appl. Earth Obs. Geoinformation.

[6]  Ke Huang,et al.  Enhanced mangrove vegetation index based on hyperspectral images for mapping mangrove , 2022, ISPRS Journal of Photogrammetry and Remote Sensing.

[7]  Ke Huang,et al.  Optical and SAR images Combined Mangrove Index based on multi-feature fusion , 2022, Science of Remote Sensing.

[8]  Thomas A. Worthington,et al.  High-resolution mapping of losses and gains of Earth’s tidal wetlands , 2022, Science.

[9]  M. Gao,et al.  Carbon peak and its mitigation implications for China in the post-pandemic era , 2022, Scientific Reports.

[10]  Ruishan Chen,et al.  High-resolution mapping of water photovoltaic development in China through satellite imagery , 2022, Int. J. Appl. Earth Obs. Geoinformation.

[11]  Ming Xu,et al.  Mapping photovoltaic power plants in China using Landsat, Random Forest, and Google Earth Engine , 2022, Earth System Science Data.

[12]  Bangqian Chen,et al.  Rebound in China’s coastal wetlands following conservation and restoration , 2021, Nature Sustainability.

[13]  M. McElroy,et al.  Combined solar power and storage as cost-competitive and grid-compatible supply for China’s future carbon-neutral electricity system , 2021, Proceedings of the National Academy of Sciences.

[14]  C. Hepburn,et al.  A global inventory of photovoltaic solar energy generating units , 2021, Nature.

[15]  N. Lu,et al.  Multi-resolution dataset for photovoltaic panel segmentation from satellite and aerial imagery , 2021, Earth System Science Data.

[16]  Jinyue Yan,et al.  Using Existing Infrastructure to Realize Low-Cost and Flexible Photovoltaic Power Generation in Areas with High-Power Demand in China , 2020, iScience.

[17]  S. Mallapaty,et al.  How China could be carbon neutral by mid-century , 2020, Nature.

[18]  Russell G. Congalton,et al.  Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine , 2020 .

[19]  Wendong Wei,et al.  Unbalanced economic benefits and the electricity-related carbon emissions embodied in China's interprovincial trade. , 2020, Journal of environmental management.

[20]  Bangqian Chen,et al.  Mapping coastal wetlands of China using time series Landsat images in 2018 and Google Earth Engine. , 2020, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.

[21]  M. Zeng,et al.  China's Solar Subsidy Policy: Government Funding Yields to Open Markets , 2020, IEEE Power and Energy Magazine.

[22]  Sebastian Dunnett,et al.  Harmonised global datasets of wind and solar farm locations and power , 2020, Scientific Data.

[23]  Di Zhang,et al.  Investigating Various Permutations of Copper Iodide/FeCu Tandem Materials as Electrodes for Dye-Sensitized Solar Cells with a Natural Dye , 2020, Nanomaterials.

[24]  Bo Li,et al.  Tracking annual changes of coastal tidal flats in China during 1986-2016 through analyses of Landsat images with Google Earth Engine. , 2020, Remote sensing of environment.

[25]  Robert A. Holland,et al.  The influence of the global electric power system on terrestrial biodiversity , 2019, Proceedings of the National Academy of Sciences.

[26]  S. Hashimoto,et al.  Integrated assessment of land-use/coverage changes and their impacts on ecosystem services in Gansu Province, northwest China: implications for sustainable development goals , 2019, Sustainability Science.

[27]  N. Clinton,et al.  The global distribution and trajectory of tidal flats , 2018, Nature.

[28]  Adisa Azapagic,et al.  Environmental Impacts of Photovoltaics: The Effects of Technological Improvements and Transfer of Manufacturing from Europe to China , 2018, Energy Technology.

[29]  X. Wen,et al.  Spatiotemporal variability of temperature and precipitation in Gansu Province (Northwest China) during 1951-2015 , 2017 .

[30]  F. Creutzig,et al.  The underestimated potential of solar energy to mitigate climate change , 2017, Nature Energy.

[31]  Jingjing Zhou,et al.  The Effects of GLCM parameters on LAI estimation using texture values from Quickbird Satellite Imagery , 2017, Scientific Reports.

[32]  J. Pekel,et al.  High-resolution mapping of global surface water and its long-term changes , 2016, Nature.

[33]  C. Geitner,et al.  Renewable energies and ecosystem service impacts , 2015 .

[34]  V. Fthenakis,et al.  Environmental impacts from the installation and operation of large-scale solar power plants , 2011 .

[35]  M. Cetron,et al.  Biodiesel production : a preliminary study from Jatropha Curcas , 2013 .

[36]  Michael A. Wulder,et al.  Automated derivation of geographic window sizes for use in remote sensing digital image texture analysis , 1996 .

[37]  G. Meehl,et al.  Greenhouse sensitivity experiments with penetrative cumulus convection and tropical cirrus albedo effects , 1993 .

[38]  Ruishan Chen,et al.  Mapping the rapid development of photovoltaic power stations in northwestern China using remote sensing , 2022, Energy Reports.

[39]  Gregory S. Okin,et al.  Leveraging Google Earth Engine (GEE) and machine learning algorithms to incorporate in situ measurement from different times for rangelands monitoring , 2020 .

[40]  L. Breiman.  Random Forests , 2001, Machine Learning.