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29篇 您的检索式:作者名="Gengxing"
    题名 作者 年代 出处 被引量
1Effect of biochar amendment on yield and methane and nitrous oxide emissions from a rice paddy from Tai Lake plain, China显示文摘Afeng Zhang Liqiang Cui Gengxing Pan Lianqing Li Qaiser Hussain Xuhui Zhang Jinwei Zheng David Crowley 2010Agriculture Ecosystems and Environment2010,,4:3
2Effect of biochar amendment on yield and methane and nitrous oxide emissions from a rice paddy from Tai Lake plain, China显示文摘Afeng Zhang Liqiang Cui Gengxing Pan Lianqing Li Qaiser Hussain Xuhui Zhang Jinwei Zheng David Crowley 2010Agriculture Ecosystems and Environment2010,,4:3
3Knowledge-based land use/cover classification of remote sensing image in Kenli, Shandong Province, China显示文摘LI Jing ZHAO Gengxing YANG Peiguo 2006Chinese Science Bulletin2006,51,B11:2
4Spectroscopy-Based Soil Organic Matter Estimation in Brown Forest Soil Areas of the Shandong Peninsula, China显示文摘Soil organic matter (SOM) is important for plant growth and production. Conventional analyses of SOM are expensive and time consuming. Hyperspectral remote sensing is an alternative approach for SOM estimation. In this study, the diffuse reflectance spectra of soil samples from Qixia City, the Shandong Peninsula, China, were measured with an ASD FieldSpec 3 portable object spectrometer (Analytical Spectral Devices Inc., Boulder, USA). Raw spectral reflectance data were transformed using four methods: nine points weighted moving average (NWMA), NWMA with first derivative (NWMA + FD), NWMA with standard normal variate (NWMA + SNV), and NWMA with min-max standardization (NWMA + MS). These data were analyzed and correlated with SOM content. The evaluation model was established using support vector machine regression (SVM) with sensitive wavelengths. The results showed that NWMA + FD was the best of the four pretreatment methods. The sensitive wavelengths based on NWMA + FD were 917, 991, 1 007, 1 996, and 2 267 nm. The SVM model established with the above-mentioned five sensitive wavelengths was significant ( R 2 = 0.875, root mean square error (RMSE) = 0.107 g kg −1 for calibration set;R 2 = 0.853, RMSE = 0.097 g kg −1 for validation set). The results indicate that hyperspectral remote sensing can quickly and accurately predict SOM content in the brown forest soil areas of the Shandong Peninsula. This is a novel approach for rapid monitoring and accurate diagnosis of brown forest soil nutrients.GAO Lulu ZHU Xicun HAN Zhaoying WANG Ling ZHAO Gengxing JIANG Yuanmao 2019Pedosphere2019,29,6:2
5Effect of biochar amendment on yield and methane and nitrous oxide emissions from a rice paddy from Tai Lake plain, China显示文摘Afeng Zhang Liqiang Cui Gengxing Pan Lianqing Li Qaiser Hussain Xuhui Zhang Jinwei Zheng David Crowley 2010Agriculture, Ecosystems and Environment2010,,4:2
6Effect of biochar amendment on yield and methane and nitrous oxide emissions from a rice paddy from Tai Lake plain,China显示文摘ZHANG Afeng CUI Liqiang PAN Gengxing a al 0,,04:1
7Using thematic mapper data for change detection and sustainable use of cultivated lead: a case study in the yellow fiver delta, China显示文摘Zhao Gengxing Lin Ge Warner T 2004International Journal of Remote Sensing2004,25,13:1
8Effect of biochar amendment on yield and methane and nitrous oxide emissions from a ricepaddy from Tai Lake plaint China显示文摘Afeng Zhang Liqiang Cui Gengxing Pan 2010Agriculture Ecosystems and Environment2010,139,:1
9Estimating Canopy Nitrogen Contents of an Apple Tree Using Hyperspectral Remote Sensing显示文摘Estimating an apple tree canopy nitrogen contents using hyperspectral techniques is important in theoretical and realistic significance for fertilization and management.Taking 80 Fuji apple trees at the early fruiting stage as the research objects,the hyperspectral characteristics of the apple canopy were analyzed systematically.The apple canopy hyperspectral and the canopy nitrogen contents were measured respectively.The canopy hyperspectral characteristics under different nitrogen contents were analyzed and selected the sensitive wave bands.The apple canopy nitrogen content monitoring models were established by using multiple regression method,robust regression and BP neural network method.The results showed that the canopy hyperspectral reflectance had obvious differences under different nitrogen contents.The sensitive bands concentrate on 724~1136 nm.Estimation models based on hyperspectral indices are not ideal.Models based on robust regression(M regression)and BP neural network are better than multiple statistical model,and the accuracy of the BP neural network monitoring model is the best.The results of the study provide a certain reference for estimating apple nutrition using hyperspectral technology.Xicun ZHU Lulu GAO Xianyi FANG Gengxing ZHAO Ling WANG 2016遥感科学(中英文版)2016,4,2:1
10Using Thematic Mapper data for change detection and sustainable use of cultivated land: a case study in the Yellow River delta, China显示文摘Gengxing Zhao Ge Lin Tim Warner 2004International Journal of Remote Sensing2004,25,13:1
11Characterization of a laser-discrete quenched steel substrate/chromium system by dissolving coatings显示文摘Huaixue Li Kun Zhang Guangnan Chen Gengxing Luo Ye Zhijun 2006Surface & Coatings Technology2006,,6:1
12Cell death by pyroptosis drives CD4 T-cell depletion in HIV-1 infection显示文摘DoitshG GallowayNL GengX 2014Nature2014,505,7484:1
13Hyperspectral Characteristics of Apple Leaves Based on Different Disease Stress显示文摘Xianyi Fang Xicun Zhu Zhuoyuan Wang Gengxing Zhao Yuanmao Jiang Yan'an Wang 2014遥感科学(中英文版)2014,2,3:1
14Effect of biochar amendment on yield and methane and nitrous oxide emissionsfrom a rice paddy from Tai Lake plain, China 显示文摘AFENG ZHANG LIQIANG CUI GENGXING PAN 2010A griculture Ecosystems and Environment2010,139,:1
15Effect of biochar amend- ment on yield and methane and nitrous oxide emissions from a rice pad- dy from Tai Lake plain显示文摘Zhang Afeng Cui Liqiang Pan Gengxing 2010Agriculture Ecosystem and Environment2010,139,4:1
16Effect of biochar amendment on yield and methane and nitrous oxide emissions from a rice paddy from Tai Lake plain, China显示文摘Afeng Zhang Liqiang Cui Gengxing Pan Lianqing Li Qaiser Hussain Xuhui Zhang Jinwei Zheng David Crowley 2010Agriculture Ecosystems and Environment2010,,4:1
17Change in net global warming potential of a rice–wheat cropping system with biochar soil amendment in a rice paddy from China显示文摘Afeng Zhang Rongjun Bian Qaiser Hussain Lianqing Li Gengxing Pan Jinwei Zheng Xuhui Zhang Jufeng Zheng 2013Agriculture Ecosystems and Environment2013,,:1
18Using thematic mapper data for change detection and sustainable use of cultivated land : a case study in the yellow river, delta, China显示文摘Zhao Gengxing Lin Ge Warner T 2004International Journal of Remote Sensing2004,25,13:1
19Effect of biochar amendment on yield and methane and nitrous oxide emissions from a rice paddy from Tai Lake plain, China显示文摘Zhang A'feng Cui Liqiang Pan Gengxing 2010Agriculture Ecosystems and Environment2010,139,6:1
20Effects of biochar amendment on soil quality, crop yield and greenhouse gas emission in a Chinese rice paddy: A field study of 2 consecutive rice growing cycles 显示文摘Zhang A'feng Bian Rongjun Pan Gengxing 2012Field Crops Research2012,127,8:1
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