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Niraj Priyadarshi, V. M. Chowdary, K. Chandrasekar, Jeganathan Chockalingam, Soumya Bandyopadhyay, Y. K. Srivastava, D. Dutta, Neeti Neeti & Chandra Shekhar Jha. (2022) Multi-resolution analysis based data mining approach to assess vegetation dynamics in Jharkhand using time series MODIS products. Geocarto International 37:25, pages 9767-9787.
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Niraj Priyadarshi, V. M. Chowdary, Iswar Chandra Das, Jeganathan Chockalingam, Y. K. Srivastava, G. Srinivasa Rao, Uday Raj & Chandra Shekhar Jha. (2020) Wavelet and non-parametric statistical based approach for long term land cover trend analysis using time series EVI data. Geocarto International 35:5, pages 512-534.
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Niraj Priyadarshi, Suparn Pathak, Debasish Chakraborty, Vemuri Muthayya Chowdary, Sushil Kumar Srivastav, Chandrasekar Kamalakannan, Jeganathan Chockalingam & Soumya Bandyopadhyay. Estimation of natural vegetation phenology metrics using time series EVI over Jharkhand state, India. Journal of Spatial Science 0:0, pages 1-23.
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Xiaohan Zhao, Dianchen Han, Qi Lu, Yunpeng Li & Fangmin Zhang. (2023) Spatiotemporal variations in ecological quality of Otindag Sandy Land based on a new modified remote sensing ecological index. Journal of Arid Land 15:8, pages 920-939.
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Xinyue Yang, Fei Meng, Pingjie Fu, Yuqiang Wang & Yaohui Liu. (2022) Time-frequency optimization of RSEI: A case study of Yangtze River Basin. Ecological Indicators 141, pages 109080.
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Yuhao Pan, Yan Wang, Shijun Zheng, Alfredo R. Huete, Miaogen Shen, Xiaoyang Zhang, Jingfeng Huang, Guojin He, Le Yu, Xiyan Xu, Qiaoyun Xie & Dailiang Peng. (2022) Characteristics of Greening along Altitudinal Gradients on the Qinghai–Tibet Plateau Based on Time-Series Landsat Images. Remote Sensing 14:10, pages 2408.
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Tugba Yildirim, Daniel N. Moriasi, Patrick J. Starks & Debaditya Chakraborty. (2022) Using Artificial Neural Network (ANN) for Short-Range Prediction of Cotton Yield in Data-Scarce Regions. Agronomy 12:4, pages 828.
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Niraj Priyadarshi, Dibyendu Dutta, V. M. Chowdary & Chandra Shekhar Jha. 2022. Geospatial Technologies for Resources Planning and Management. Geospatial Technologies for Resources Planning and Management
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Sandeep Kumar Singla, Rahul Dev Garg & Om Prakash Dubey. (2021) Ensemble machine learning methods for spatio-temporal data analysis of plant and ratoon sugarcane. Intelligent Data Analysis 25:5, pages 1291-1322.
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Debbie A. Chamberlain, Stuart R. Phinn & Hugh P. Possingham. (2021) Mangrove Forest Cover and Phenology with Landsat Dense Time Series in Central Queensland, Australia. Remote Sensing 13:15, pages 3032.
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Tugba Yildirim, Yuting Zhou, K. Colton Flynn, Prasanna H. Gowda, Shengfang Ma & Daniel N. Moriasi. (2021) Evaluating the sensitivity of vegetation and water indices to monitor drought for three Mediterranean crops. Agronomy Journal 113:1, pages 123-134.
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Hannah J. White, Willson Gaul, Dinara Sadykova, Lupe León‐Sánchez, Paul Caplat, Mark C. Emmerson & Jon M. Yearsley. (2020) Quantifying large‐scale ecosystem stability with remote sensing data. Remote Sensing in Ecology and Conservation 6:3, pages 354-365.
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Marcos Ruiz-Álvarez, Francisco Alonso-Sarria & Francisco Gomariz-Castillo. (2019) Interpolation of Instantaneous Air Temperature Using Geographical and MODIS Derived Variables with Machine Learning Techniques. ISPRS International Journal of Geo-Information 8:9, pages 382.
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