[1]陈小敏,陈汇林,陶忠良.2008年初海南橡胶寒害遥感监测初探[J].自然灾害学报,2013,22(01):024-28.
 CHEN Xiaomin,CHEN Huilin,TAO Zhongliang.A preliminary study on remote sensing monitoring of rubber tree cold injury in Hainan Province during early 2008[J].,2013,22(01):024-28.
点击复制

2008年初海南橡胶寒害遥感监测初探
分享到:

《自然灾害学报》[ISSN:/CN:23-1324/X]

卷:
22
期数:
2013年01期
页码:
024-28
栏目:
出版日期:
2013-07-18

文章信息/Info

Title:
A preliminary study on remote sensing monitoring of rubber tree cold injury in Hainan Province during early 2008
作者:
陈小敏1 陈汇林1 陶忠良2
1. 海南省气象科学研究所,海南 海口 570203;
2. 中国热带农业科学院橡胶研究所,海南 儋州 571737
Author(s):
CHEN Xiaomin1 CHEN Huilin1 TAO Zhongliang2
1. Hainan Institute of Meteorological Science,Haikou 570203,China;
2. China Rubber Research Institute, CATAS,Danzhou 571737,China
关键词:
橡胶遥感寒害监测
Keywords:
rubberremote sensingcold injurymonitoring
分类号:
S16
摘要:
基于海南省橡胶种植的空间分布,对2008年初强低温阴雨发生前(1月1日)、发生后(3月5日)橡胶产区的MODIS/INDVI值进行了比较,结果表明,全省橡胶植被指INDVI值降低区域占到97.2%,其中指数值下降>0.2的占到26.7%;与上一年未遭受寒害的同期(2007年3月21日)相比,橡胶植被指数INDVI值降低的区域占79.1%,其中指数值下降>0.2的占14.6%,因此初步认定2008年橡胶遭受了寒害影响。分析2008年初气象资料、橡胶林间调查结果,与ΔINDVI值对比结果,显示橡胶寒害验证结果与遥感监测结果大致相符,说明遥感应用于监测橡胶寒害轻、重和受害面积是可行的,遥感还可以动态监测橡胶生长情况。
Abstract:
Based on the spatial distribution of planting of rubber trees in Hainan Province, the MODIS-INDVI values of rubber-producing area before(i.e. Jan 1) and after (i.e. Mar 5)the period of extreme low temperature and rainy days in 2008 were compared and analyzed. Results show that the ratio of areas with INDVI value drop account for 97.2% of the total panting areas, and in which the ratio of areas with INDVI value drop larger than 0.2 account for 26.7% in total areas. In the case of the year 2007, the ratio of areas with INDVI value drop is 79.1% and the ratio of area with INDVI value drop larger than 0.2 is 14.6%.Therefore,it can be considered that there was a rubber tree cold injury in 2008, and conclusions drawn from contrast of INDVI values agree with meteorological data and field investigation. For this reason, it is possible to apply the remote sensing data to monitoring the rubber tree cold injury. Remote sensing could also dynamically monitor the growth situation of the rubber trees.

相似文献/References:

[1]常禹,陈宏伟,胡远满,等.林火烈度评价及其空间异质性研究进展[J].自然灾害学报,2012,21(02):028.
 CHANG Yu,CHEN Hongwei,HU Yuanman,et al.Advances in the assessment of forest fire severity and its spatial heterogeneity[J].,2012,21(01):028.
[2]黄耀欢,江东,庄大方,等.汤逊湖水体叶绿素浓度遥感估测研究[J].自然灾害学报,2012,21(02):215.
 HUANG Yaohuan,JIANG Dong,ZHUANG Dafang,et al.Research on remote sensing estimation of chlorophyll concentration in water body of Tangxun Lake[J].,2012,21(01):215.
[3]岳书平,闫业超,张树文.30年来中国东北样带生态可持续性的时空分异[J].自然灾害学报,2010,19(03):031.
 YUE Shu-ping,YAN Ye-chao,ZHANG Shu-wen.Spatiotemporal differentiation of ecological sustainability in Northeast China transect in recent 30 years[J].,2010,19(01):031.
[4]宋国利,臧淑英,钟婷婷.温州市乐清湾土地利用的生态风险——基于RS和GIS的分析[J].自然灾害学报,2010,19(06):076.
 SONG Guo-li,ZANG Shu-ying,ZHONG Ting-ting.Ecological risk of land-use in Yueqing Bay in Wenzhou:an analysis based on RS and GIS[J].,2010,19(01):076.
[5]李蕾,黄玫,刘正佳,等.基于RS与GIS的毕节地区滑坡灾害危险性评价[J].自然灾害学报,2011,20(02):177.
 LI Lei,HUANG Mei,LIU Zheng-jia,et al.RS & GIS-based evaluation of landslide hazard in Bijie Prefecture,Guizhou Province[J].,2011,20(01):177.
[6]郭洁,李国平,黄文诗.GPS可降水量与大雾天气关系的初步分析[J].自然灾害学报,2011,20(04):142.
 GUO Jie,LI Guo-ping,HUANG Wen-shi.Preliminary analysis of relationship between GPS-based precipitable water vapor and weather with dense fog[J].,2011,20(01):142.
[7]南颖,刘志锋,朱卫红,等.长白山的台风灾区范围及植被恢复动态——基于遥感技术的研究[J].自然灾害学报,2011,20(06):131.
 NAN Ying,LIU Zhi-feng,ZHU Wei-hong,et al.Range of typhoon-stricken area and trend of vagetation restoration in Changbai Mountain:RS-based research[J].,2011,20(01):131.
[8]胡卓玮,王志恒,魏铼,等.基于RS与GIS混合编程的公路水毁灾情信息提取[J].自然灾害学报,2013,22(01):094.
 HU Zhuowei,WANG Zhiheng,WEI Lai,et al.Road flooding information extraction based on mixed programming of remote sensing and geographic information system[J].,2013,22(01):094.
[9]郭红,龚文峰,李雁,等.哈尔滨市热岛效应与植被的关系——基于RS和GIS的定量研究[J].自然灾害学报,2007,16(02):022.
 GUO Hong,GONG Wen-feng,LI Yan,et al.Relationship between heat island effect and vegetation in Harbin City:RS and GIS based quantitative study[J].,2007,16(01):022.
[10]张红梅,沙晋明.基于RS与GIS的福州市生态环境脆弱性研究[J].自然灾害学报,2007,16(02):133.
 ZHANG Hong-mei,SHA Jin-ming.RS and GIS based study on fragirity of ecological environment in Fuzhou City[J].,2007,16(01):133.
[11]张明洁,张京红,刘少军,等.基于FY-3A的海南岛橡胶林台风灾害遥感监测——以“纳沙”台风为例[J].自然灾害学报,2014,23(03):086.[doi:10.13577/j.jnd.2014.0311]
 ZHANG Mingjie,ZHANG Jinghong,LIU Shaojun,et al.TY-3A-based remote sensing monitoring of “Nesat” typhoon damage to rubber plantations in Hainan Island[J].,2014,23(01):086.[doi:10.13577/j.jnd.2014.0311]

备注/Memo

备注/Memo:
收稿日期:2012-2-17;改回日期:2012-5-16。
基金项目:海南省自然科学基金项目(40737);农业部公益性行业(农业)科研专项(nyhyzx07-003-6)
作者简介:陈小敏(1984-),女,硕士,主要从事遥感、农业气象灾害研究.E-mail:xiaominc2002@163.com
更新日期/Last Update: 1900-01-01