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EDITORIAL-Remote sensing for agricultural applications |
Zhengwei Yang, WU Wen-bin, Liping Di, Berk üstünda? |
Guest Editor Research and Development Division USDA National Agricultural Statistics Service VA 22030, USA
Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Beijing 100081, P.R.China
Center for Spatial Information Science and Systems George Mason University VA 22030, USA
Agricultural and Environmental Informatics Application & Research Center/Faculty of Informatics and Computer Engineering Istanbul Technical University Istanbul 34469, Turkey |
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Accepted: 31 January 2017
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Corresponding Authors:
Zhengwei Yang
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About author: Zhengwei Yang |
Cite this article:
Zhengwei Yang, WU Wen-bin, Liping Di, Berk üstünda?.
2017.
EDITORIAL-Remote sensing for agricultural applications. Journal of Integrative Agriculture, 16(02): 239-241.
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Bai J J, Yu Y, Di L P. 2017. Comparison between TVDI and CWSI for drought monitoring in the Guanzhong Plain, China. Journal of Integrative Agriculture, 16, 389–397. Boryan C G, Yang Z W, Willis P, Di L P. 2017. Developing crop specific area frame stratifications based on geospatial crop frequency and cultivation data layers. Journal of Integrative Agriculture, 16, 312–323.Chen H, Oguchi T, Wu P. 2017. Assessment for soil loss by using a scheme of alterative sub-models based on the RUSLE in a karst basin of Southwest China. Journal of Integrative Agriculture, 16, 377–388.Chen X Y, Lin Y, Zhang M, Yu L, Li H C, Bai Y Q. 2017. Assessment of the cropland classifications in four global land cover datasets: A case study of Shaanxi Province, China. Journal of Integrative Agriculture, 16, 298–311. Di L P, Yu E G, Kang L G, Shrestha R, Bai Y Q. 2017. RF-CLASS: A remote-sensing-based flood crop loss assessment cyber-service system for supporting crop statistics and insurance decision-making. Journal of Integrative Agriculture, 16, 408–421.Hu Q, Wu W B, Song Q, Lu M, Chen D, Yu Q Y, Tang H J. 2017. How do temporal and spectral features matter in crop classification in Heilongjiang Province, China? Journal of Integrative Agriculture, 16, 324–336.Li H, Chen Z X, Jiang Z W, Wu W B, Ren J Q, Liu Bin, Hasi T. 2017. Comparative analysis of GF-1, HJ-1, and Landsat-8 data for estimating the leaf area index of winter wheat. Journal of Integrative Agriculture, 16, 266–285.Li Z P, Long Y Q, Tang P Q, Tan J Y, Li Z G, Wu W B, Hu Y N, Yang P. 2017. Spatio-temporal changes in rice area at the northern limits of the rice cropping system in China from 1984 to 2013. Journal of Integrative Agriculture, 16, 360–367.Li Z W, Xin X P, Tang H, Yang F, Chen B R, Zhang B H. 2017. Estimating grassland LAI using the random forests approach and Landsat imagery in the meadow steppe of Hulunber, China. Journal of Integrative Agriculture, 16, 286–297.Shrestha R, Di L P, Eugene G, Yu E G, Kang L G, Shao Y Z, Bai Y Q. 2017. Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA cropland data layer. Journal of Integrative Agriculture, 16, 398–407.Song Q, Zhou Q B, Wu W B, Hu Q, Lu M, Liu S B. 2017. Mapping regional cropping patterns by using GF-1 WFV sensor data. Journal of Integrative Agriculture, 16, 337–347.Sun J, Tong Y X, Liu J G. 2017. Telecoupled land-use changes in distant countries. Journal of Integrative Agriculture, 16, 368–376.Tao J B, Wu W B, Zhou Y, Wang Y, Jiang Y. 2017. Mapping winter wheat using phenological feature of peak before winter on the North China Plain based on time-series MODIS data. Journal of Integrative Agriculture, 16, 348–359.Üstünda? B. 2017. An adaptive Mealy machine model for monitoring crop status. Journal of Integrative Agriculture, 16, 252–265.Zhou Q B, Yu Q Y, Liu J, Wu W B, Tang H J. 2017. Perspective of Chinese GF-1 high-resolution satellite data in agricultural remote sensing monitoring. Journal of Integrative Agriculture, 16, 242–251. |
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