• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 207 matches

• 2025
• 
  Pramit Ghimire, Saroj Karki, Vishnu Prasad Pandey, Ananta Man Singh Pradhan:
  Mapping Spatio-Temporal dynamics of irrigated agriculture in Nepal using MODIS NDVI and statistical data with Google Earth Engine: A step towards improved irrigation planning. Int. J. Appl. Earth Obs. Geoinformation 136: 104345 (2025)
• 
  Cesar Alvites, Hannah O'Sullivan, Saverio Francini, Marco Marchetti, Giovanni Santopuoli, Gherardo Chirici, Bruno Lasserre, Michela Marignani, Erika Bazzato:
  Canopy height Mapper: A google earth engine application for predicting global canopy heights combining GEDI with multi-source data. Environ. Model. Softw. 183: 106268 (2025)
• 
  Pu Zhou, Xiaodong Li, Yihang Zhang, Yalan Wang, Yuyang Li, Xiang Li, Chi Zhou, Laiyin Shen, Yun Du:
  Domain-Knowledge-Guided Multisource Fusion Network for Small Water Bodies Mapping Using PlanetScope Multispectral and Google Earth RGB Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 2541-2562 (2025)
• 2024
• 
  Xuanlin Huo, Zhenguo Niu, Linsong Liu, Yuhang Jing:
  Integration of ecological knowledge with Google Earth Engine for diverse wetland sampling in global mapping. Int. J. Appl. Earth Obs. Geoinformation 134: 104249 (2024)
• 
  Zhenjie Liu, Yingyue Su, Xiangming Xiao, Yuanwei Qin, Jun Li, Luo Liu:
  Identification and mapping of yellow-flowering rapeseed fields by combining social media data, Sentinel-2 imagery, deep learning algorithm, and Google Earth Engine. Int. J. Appl. Earth Obs. Geoinformation 132: 104047 (2024)
• 
  Liangli Meng, Yunfei Li, Ruoque Shen, Yi Zheng, Baihong Pan, Wenping Yuan, Jun Li, Li Zhuo:
  Large-scale and high-resolution paddy rice intensity mapping using downscaling and phenology-based algorithms on Google Earth Engine. Int. J. Appl. Earth Obs. Geoinformation 128: 103725 (2024)
• 
  Yicheng Wang, Fulu Tao, Yi Chen, Lichang Yin:
  Mapping the spatiotemporal patterns of tillage practices across Chinese croplands with Google Earth Engine. Comput. Electron. Agric. 216: 108509 (2024)
• 
  Haile Zhao, Yi Zhou, Guoliang Zhang, Xin Chen, Yuyang Chang, Yuchao Luo, Yuling Jin, Zhihua Pan, Pingli An:
  Mapping the dynamics of intensive forage acreage during 2008-2022 in Google Earth Engine using time series Landsat images and a phenology-based algorithm. Comput. Electron. Agric. 221: 108983 (2024)
• 
  Mohammad Ganjirad, Hossein Bagheri:
  Google Earth Engine-based mapping of land use and land cover for weather forecast models using Landsat 8 imagery. Ecol. Informatics 80: 102498 (2024)
• 
  Fuchen Guo, Liangxin Fan, Chengkang Zhang, Sha Xue:
  A novel space-spectrum array tile probability random-forest model enhances LULC mapping accuracy on Google Earth Engine: An experiment in Ordos, China. Ecol. Informatics 81: 102607 (2024)
• 
  Zhouyayan Li, Ibrahim Demir:
  MultiRS flood mapper: a google earth engine application for water extent mapping with multimodal remote sensing and quantile-based postprocessing. Environ. Model. Softw. 176: 106022 (2024)
• 
  Adrián López-Ballesteros, Raghavan Srinivasan, Javier Senent-Aparicio:
  Introducing MapSWAT: An open source QGIS plugin integrated with google earth engine for efficiently generating ready-to-use SWAT+ input maps. Environ. Model. Softw. 179: 106108 (2024)
• 
  Joan-Cristian Padró, Valerio Della Sala, Marc Castelló-Bueno, Rafael Vicente-Salar:
  Mapping the Influence of Olympic Games' Urban Planning on the Land Surface Temperatures: An Estimation Using Landsat Series and Google Earth Engine. Remote. Sens. 16(18): 3405 (2024)
• 
  Meng Zhang, Peijun Sun, Zhangli Sun:
  Spatiotemporally Mapping Non-Grain Production of Winter Wheat Using a Developed Auto-Generating Sample Algorithm on Google Earth Engine. Remote. Sens. 16(4): 659 (2024)
• 
  Jiawei Zou, Hao Li, Chao Ding, Suhong Liu, Qingdong Shi:
  Mapping Natural Populus euphratica Forests in the Mainstream of the Tarim River Using Spaceborne Imagery and Google Earth Engine. Remote. Sens. 16(18): 3429 (2024)
• 
  Saverio Francini, Agnese Marcelli, Gherardo Chirici, Rosa Maria Di Biase, Lorenzo Fattorini, Piermaria Corona:
  Per-Pixel Forest Attribute Mapping and Error Estimation: The Google Earth Engine and R dataDriven Tool. Sensors 24(12): 3947 (2024)
• 
  Hamid Jafarzadeh, Masoud MahdianPari, Eric W. Gill, Fariba Mohammadimanesh:
  Enhancing Wetland Mapping: Integrating Sentinel-1/2, GEDI Data, and Google Earth Engine. Sensors 24(5): 1651 (2024)
• 
  Xin Lyu, Xiaobing Li, Haishuo Wei, Junxu Wu, Dongliang Dang, Chenhao Zhang, Kai Wang, Anru Lou:
  Mapping of Utility-Scale Solar Panel Areas From 2000 to 2022 in China Using Google Earth Engine. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 18083-18095 (2024)
• 
  Edina Birinyi, Dániel Kristóf, Anikó Kern:
  Possibilities of Radar-Based Inland Excess Water Mapping in Google Earth Engine During the Single-Satellite Sentinel-1 ERA for a Study Area in Hungary. IGARSS 2024: 5117-5120
• 
  Kaline De Mello, Edimilson Rodrigues Dos Santos Junior, Erica A. Garcia, Peter Dostine, Peter Waugh, Jessica Huxley, Jonathon Burcher, Anna E. Richard:
  A Multi-Index Classification Approach for Wetland Mapping Between 1986-2022 in the Australian Tropical Savanna Using Google Earth Engine. IGARSS 2024: 5507-5511
• 
  Robert Martin Santiago, Eduardo Jimmy P. Quilang, Edwin Sybingco:
  Evaluating Classifier Performance in Mapping Paddy Rice Fields Using Multi-Temporal SAR Data on Google Earth Engine. TENCON 2024: 1227-1230
• 2023
• 
  Wenbin Liu, Hongyan Zhang:
  Mapping annual 10 m rapeseed extent using multisource data in the Yangtze River Economic Belt of China (2017-2021) on Google Earth Engine. Int. J. Appl. Earth Obs. Geoinformation 117: 103198 (2023)
• 
  Michael Allan Merchant, Brian Brisco, Masoud MahdianPari, Laura L. Bourgeau-Chavez, Kevin Murnaghan, Ben DeVries, Aaron Berg:
  Leveraging google earth engine cloud computing for large-scale arctic wetland mapping. Int. J. Appl. Earth Obs. Geoinformation 125: 103589 (2023)
• 
  Chengkang Zhang, Hongyan Zhang, Sijing Tian:
  Phenology-assisted supervised paddy rice mapping with the Landsat imagery on Google Earth Engine: Experiments in Heilongjiang Province of China from 1990 to 2020. Comput. Electron. Agric. 212: 108105 (2023)
• 
  Fangwen Yang, Pengfei He, Hui Wang, Dongjie Hou, Dongliang Li, Yuli Shi:
  Long-term, high-resolution GPP mapping in Qinghai using multi-source data and google earth engine. Int. J. Digit. Earth 16(2): 4885-4905 (2023)
• 
  Linwei Yue, Baoguang Li, Shuang Zhu, Qiangqiang Yuan, Huanfeng Shen:
  A fully automatic and high-accuracy surface water mapping framework on Google Earth Engine using Landsat time-series. Int. J. Digit. Earth 16(1): 210-233 (2023)
• 
  Jiantao Liu, Yexiang Li, Yan Zhang, Quanlong Feng, Tongguang Shi, Dong Zhang, Pudong Liu:
  Impervious surface Mapping and its spatial-temporal evolution analysis in the Yellow River Delta over the last three decades using Google Earth Engine. Earth Sci. Informatics 16(2): 1727-1739 (2023)
• 
  Xuewei Wang, Jennifer Blesh, Preeti Rao, Ambica Paliwal, Maanya Umashaanker, Meha Jain:
  Mapping cover crop species in southeastern Michigan using Sentinel-2 satellite data and Google Earth Engine. Frontiers Artif. Intell. 6 (2023)
• 
  Rana M. Amir Latif, Jinliao He, Muhammad Umer:
  Mapping Cropland Extent in Pakistan Using Machine Learning Algorithms on Google Earth Engine Cloud Computing Framework. ISPRS Int. J. Geo Inf. 12(2): 81 (2023)
• 
  Shudan Chen, Fan Lei, Zhuo Zang, Meng Zhang:
  Forest Mapping Using a VGG16-UNet++& Stacking Model Based on Google Earth Engine in the Urban Area. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023)

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