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利用陆地卫星遥感数据追踪西半球入侵中红棕螨的危害

Tracking Red Palm Mite Damage in the Western Hemisphere Invasion with Landsat Remote Sensing Data.

作者信息

Rodrigues Jose Carlos Verle, Cosh Michael H, Hunt E Raymond, de Moraes Gilberto J, Barroso Geovanny, White William A, Ochoa Ronald

机构信息

Center for Excellence in Quarantine and Invasive Species, University of Puerto Rico (UPR), San Juan, PR 00926, USA.

Hydrology and Remote Sensing Laboratory, Bldg. 007, Rm. 104, BARC-West, USDA-ARS, Beltsville, MD 20705, USA.

出版信息

Insects. 2020 Sep 11;11(9):627. doi: 10.3390/insects11090627.

DOI:10.3390/insects11090627
PMID:32932932
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7564567/
Abstract

Red palm mites ( Hirst, Acari: Tenuipalpidae) were first observed in the western hemisphere on the islands and countries surrounding the Caribbean Sea, infesting the coconut palm ( L.). Detection of invasive pests usually relies upon changes in vegetation properties as result of the pest activity. These changes may be visible in time series of satellite data records, such as Landsat satellites, which have been available with a 16-day repeat cycle at a spatial resolution of 30 m since 1982. Typical red palm mite infestations result in the yellowing of the lower leaves of the palm crown; remote sensing model simulations have indicated that this feature may be better detected using the green normalized difference vegetation index (GNDVI). Using the Google Earth Engine programming environment, a time series of Landsat 5 Thematic Mapper, Landsat 7 Enhanced Thematic Mapper Plus and Landsat 8 Operational Land Imager data was generated for plantations in northern and northeast Brazil, El Salvador, and Trinidad-Tobago. Considering the available studied plantations, there were little or no differences of GNDVI before and after the dates when red palm mites were first revealed at each location. A discussion of possible alternative approaches are discussed related to the limitations of the current satellite platforms.

摘要

红棕榈螨(赫斯特,蜱螨亚纲:细须螨科)首次在西半球的加勒比海周边岛屿和国家被发现,侵害椰子树(椰子属)。入侵害虫的检测通常依赖于害虫活动导致的植被特性变化。这些变化可能在卫星数据记录的时间序列中可见,比如陆地卫星,自1982年以来,其以30米的空间分辨率按16天的重复周期提供数据。典型的红棕榈螨侵害会导致棕榈树冠下部叶片发黄;遥感模型模拟表明,使用绿色归一化植被指数(GNDVI)可能能更好地检测到这一特征。利用谷歌地球引擎编程环境,为巴西北部和东北部、萨尔瓦多以及特立尼达和多巴哥的种植园生成了陆地卫星5专题制图仪、陆地卫星7增强型专题制图仪Plus和陆地卫星8业务陆地成像仪数据的时间序列。考虑到现有的研究种植园,在每个地点首次发现红棕榈螨的日期前后,GNDVI几乎没有差异。针对当前卫星平台的局限性,讨论了可能的替代方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/a9484d6e4783/insects-11-00627-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/40ca5938ae7c/insects-11-00627-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/67656f2e50fa/insects-11-00627-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/427e1dc9fbf5/insects-11-00627-g009.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/a9484d6e4783/insects-11-00627-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/2e7ffa28a607/insects-11-00627-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/460fabc1eed8/insects-11-00627-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/11fbcca961e4/insects-11-00627-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/d335e6dd7a38/insects-11-00627-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/53969438528d/insects-11-00627-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/d544cf0ae228/insects-11-00627-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/40ca5938ae7c/insects-11-00627-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/67656f2e50fa/insects-11-00627-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/427e1dc9fbf5/insects-11-00627-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/90e5b5a4ce19/insects-11-00627-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/dc434ec0486d/insects-11-00627-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/7bdd612843f4/insects-11-00627-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/afe6/7564567/a9484d6e4783/insects-11-00627-g013.jpg

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