[1]蒋芳市,黄炎和,林金石,等. 崩岗崩积体土壤渗透特性分析[J]. 水土保持学报,2013,27(3):49-54.
[2]蒋芳市,黄炎和,林金石,等. 坡面水流分离崩岗崩积体土壤的动力学特征[J]. 水土保持学报,2013,27(1):86-89.
[3]Raveloson A,Visnovitz F,Székely B,et al.A multidisciplinary study on lavaka(gully erosion) formation in Central Highlands,Madagascar[J]. Geophysical Research Abstracts,2012,14(10):12483.
[4]Cox R,Bierman P,Jungers M C,et al.Erosion rates and sediment sources in Madagascar inferred from 10Be analysis of lavaka,slope,and river sediment[J]. The Journal of Geology,2009,117(4):363-376.
[5]张鹏,郑粉莉,陈吉强,等. 利用高精度GPS动态监测沟蚀发育过程[J]. 热带地理,2009,29(4):368-373.
[6]李双喜,桂惠中,丁树文. 中国南方崩岗空间分布特征[J]. 华中农业大学学报,2013,32(1):83-86.
[7]张大林,刘希林. 应用三维激光扫描监测崩岗侵蚀地貌变化——以广东五华县莲塘岗崩岗为例[J]. 热带地理,2014,34(2):133-140.
[8]陈晓安,杨洁,肖胜生,等. 崩岗侵蚀分布特征及其成因[J]. 山地学报,2013,31(6):716-722.
[9]刘洪鹄,刘宪春,张平仓,等. 南方崩岗发育特征及其监测技术探讨[J]. 中国水土保持科学,2011,9(2):19-23.
[10]王鹤,刘军,王秋玲. 利用无人机影像进行滑坡地形三维重建[J]. 测绘与空间地理信息,2015,38(12):68-71.
[11]柴子为,康峻,王力,等. 基于无人机影像的山地人工林景观DEM构建[J]. 遥感技术与应用,2015,30(3):504-509.
[12]蒋芳市,黄炎和,林金石,等. 坡度和雨强对崩岗崩积体侵蚀泥沙颗粒特征的影响[J]. 土壤学报,2014,51(5):974-982.
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Sun Shize,et al.Study on optimum band combination in estimating biomass of grassland based on UAV multispectral images[J].Jiangsu Agricultural Sciences,2018,46(04):190.
[2]琚书存,汪志存,张东彦,等.基于高分辨率无人机影像的喷药除草效果评估[J].江苏农业科学,2019,47(06):76.
Ju Shucun,et al.Evaluation of spraying and weeding effect based on high resolution UAV image[J].Jiangsu Agricultural Sciences,2019,47(04):76.
[3]苏瑞东.无人机在现代农业中的应用综述[J].江苏农业科学,2019,47(21):75.
Su Ruidong.Application of UAVs in modern agriculture: a review[J].Jiangsu Agricultural Sciences,2019,47(04):75.
[4]孙星星,王凯,李红阳,等.航空超低量喷雾技术在水稻生产上应用现状、存在问题及发展趋势[J].江苏农业科学,2020,48(13):29.
Sun Xingxing,et al.Application status, existing problems and development trends of aviation ultra-low volume spray technology in rice production[J].Jiangsu Agricultural Sciences,2020,48(04):29.
[5]林峰.虚拟现实技术在农业可视化场景快速构建中的应用[J].江苏农业科学,2020,48(14):268.
Lin Feng.Application of virtual reality technology in rapid construction of agricultural visualization scene[J].Jiangsu Agricultural Sciences,2020,48(04):268.
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Xu Guoqin,et al.Segmentation of UAV multispectral weed image based on improved semantic segmentation model[J].Jiangsu Agricultural Sciences,2022,50(04):212.
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Wang Yi,et al.Soil pH UAV remote sensing image inversion based on different modeling methods[J].Jiangsu Agricultural Sciences,2022,50(04):224.
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Sun Lexin,et al.Research status and prospect on application of UAV spray technology in agricultural production[J].Jiangsu Agricultural Sciences,2022,50(04):31.
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