期刊
  出版年
  关键词
结果中检索 Open Search
Please wait a minute...
选择: 显示/隐藏图片
1. Monthly composites from Sentinel-1 and Sentinel-2 images for regional major crop mapping with Google Earth Engine
LUO Chong, LIU Huan-jun, LU Lü-ping, LIU Zheng-rong, KONG Fan-chang, ZHANG Xin-le
Journal of Integrative Agriculture    2021, 20 (7): 1944-1957.   DOI: 10.1016/S2095-3119(20)63329-9
摘要132)      PDF    收藏

快速、准确地获取大区域、高分辨率的作物类型分布图对农业精准管理与可持续发展具有重要意义。受遥感影像质量和数据处理能力的限制,使用遥感技术进行大尺度的作物分类仍是一项巨大的挑战。本研究的目的是使用Google Earth Engine(GEE)结合Sentinel-1和Sentinel-2影像绘制黑龙江省的作物分布图,首先收集2018年作物生长关键期(5月至9月)覆盖研究区域所有可用的Sentinel-1与Sentinel-2影像,并对影像进行月度合成,然后将月度合成影像的不同反射率波段、植被指数与极化波段作为输入量结合随机森林方法进行作物分类。结果表明使用本研究提出的方法可以准确地获得黑龙江省作物分布图,作物分类总体精度达到89.75%。本研究还发现相比仅使用传统波段(可见光波段和近红外波段)进行作物分类,增加短波红外波段可以显著改善作物分类的准确性,其次是增加红边波段,增加常见植被指数和Sentinel-1数据对作物分类的精度提升不大。本研究还分析了作物分类的时效性,结果表明当7月份的影像可用时,作物分类精度的提升幅度最大,作物分类的总体精度可以达到80%以上。本研究结果为基于遥感的大尺度、高分辨率作物分布图的制作提供支持。


参考文献 | 相关文章 | 多维度评价
2. Mapping the fallowed area of paddy fields on Sanjiang Plain of Northeast China to assist water security assessments
LUO Chong, LIU Huan-jun, FU Qiang, GUAN Hai-xiang, YE Qiang, ZHANG Xin-le, KONG Fan-chang
Journal of Integrative Agriculture    2020, 19 (7): 1885-1896.   DOI: 10.1016/S2095-3119(19)62871-6
摘要148)      PDF    收藏
Rice growth requires a large amount of water, and planting rice will increase the contradiction between supply and demand of water resources.  Paddy field fallowing is important for the sustainable development of an agricultural region, but it remains a great challenge to accurately and quickly monitor the extent and area of fallowed paddy fields.  Paddy fields have unique physical features associated with paddy rice during the flooding and transplanting phases.  By comparing the differences in phenology before and after paddy field fallowing, we proposed a phenology-based fallowed paddy field mapping algorithm.  We used the Google Earth Engine (GEE) cloud computing platform and Landsat 8 images to extract the fallowed paddy field area on Sanjiang Plain of China in 2018.  The results indicated that the Landsat8, GEE, and phenology-based fallowed paddy field mapping algorithm can effectively support the mapping of fallowed paddy fields on Sanjiang Plain of China.  Based on remote sensing monitoring, the total fallowed paddy field area of Sanjiang Plain is 91 543 ha.  The resultant fallowed paddy field map is of high accuracy, with a producer (user) accuracy of 83% (81%), based on validation using ground-truth samples.  The Landsat-based map also exhibits high consistency with the agricultural statistical data.  We estimated that paddy field fallowing reduced irrigation water by 384–521 million cubic meters on Sanjiang Plain in 2018.  The research results can support subsidization grants for fallowed paddy fields, the evaluation of fallowed paddy field effects and improvement in subsequent fallowed paddy field policy in the future. 
 
参考文献 | 相关文章 | 多维度评价
3. Invasion, expansion, and control of Bactrocera dorsalis (Hendel) in China
LIU Huan, ZHANG Dong-ju, XU Yi-juan, WANG Lei, CHENG Dai-feng, QI Yi-xiang, ZENG Ling, LU Yong-yue
Journal of Integrative Agriculture    2019, 18 (4): 771-787.   DOI: 10.1016/S2095-3119(18)62015-5
摘要355)      PDF(pc) (818KB)(287)    收藏
The Oriental fruit fly, Bactrocera dorsalis (Hendel), is among the most destructive fruit/vegetable-eating agricultural pests in the world, particularly in Asian countries such as China.  Because of its widespread distribution, invasive ability, pest status, and economic losses to fruit and vegetable crops, this insect species is viewed as an organism warranting severe quarantine restrictions by many countries in the world.  To understand the characteristics and potential for expansion of this pest, this article assembled current knowledge on the occurrence and comprehensive control of the Oriental fruit fly in China concerning the following key aspects: invasion and expansion process, biological and ecological characteristics, dynamic monitoring, chemical ecology, function of symbionts, mechanism of insecticide resistance, control index, and comprehensive control and countermeasures.  Some suggestions for the further control and study of this pest are also proposed.
参考文献 | 相关文章 | 多维度评价
4. Highly Sensitive and Specific Monoclonal Antibody-Based Serological Methods for Rice Ragged Stunt Virus Detection in Rice Plants and Rice Brown Planthopper Vectors
LIU Huan, SONG Xi-jiao, NI Yue-qun, LU Li-na, ZHOU Xue-ping , WU Jian-xiang
Journal of Integrative Agriculture    2014, 13 (9): 1943-1951.   DOI: 10.1016/S2095-3119(13)60533-X
摘要1765)      PDF    收藏
Rice ragged stunt virus (RRSV) is a serious rice disease in Asia, causing serious yield losses on rice. The capsid protein (CP) gene of the major outer capsid protein of RRSV was expressed in Escherichia coli BL21 (DE3) using the pMAL-C2X expression vector. The recombinant protein was used as the immunogen to immunize BALB/c mice. A hybridoma cell line 8A12 secreting monoclonal antibody (MAb) against RRSV was obtained by fusing mouse myeloma cells (Sp 2/0) with spleen cells from the immunized BALB/c mice. Western blot analysis showed that the MAb 8A12 can specifically react with RRSV CP. Using the MAb, an antigen-coated-plate enzyme-linked immunosorbent assay (ACP-ELISA), a dot enzyme-linked immunosorbent assay (dot-ELISA), and immunocapture-RT-PCR (IC-RT-PCR) assay were developed to detect RRSV. The established ACP-ELISA, dot-blot ELISA and IC-RT-PCR methods could detect RRSV in infected rice tissue crude extracts with dilutions of 1:40 960, 1:1280 and 1:655360 (w/v, g mL-1), respectively. The ACP-ELISA and dot-blot ELISA methods could detect RRSV in infected insect vector crude extracts with dilutions of 1:12800 and 1:1600 (an individual planthopper μL-1), respectively. The field survey revealed that Rice ragged stunt disease occurs on rice in Hainan, Yunnan, Guangxi, Sichuan, Guizhou, Fujian, Hunan, Jiangxi and Zhejiang in China.
参考文献 | 相关文章 | 多维度评价