Analysis of Temperature Range Influencing the Spread of Planthopper Infestation in Paddy Fields under the Different Climate Conditions with Thermal Infrared Band from Landsat 8.
Abstract
The effect of climate change has a significant impact on Thailand's agricultural sector in various ways, particularly in creating some potential stimuli where most insect pests will likely respond to. Brown and white-backed planthopper are the main insect pests that Thai agriculturists concern as an issue due to their destructive impact on paddy area. The aims of this study were to differentiate paddy area from brown and white-backed planthopper infested areas that were impacted by different climate conditions and to analyze the temperature range that causes an infestation of the Brown and white-backed planthopper in Mae Kue, Doi Saket, Chiang Mai; under different climate conditions including La Niña condition in 2014, normal condition in 2015, and El Niño condition in 2016, respectively. This study relied on visual interpretation to differentiate infested paddy fields. To identify infested area, the study employed land surface temperature using Thermal Infrared Sensor (TIRS) Band 10 from Landsat 8-TIR to determine the potential temperature range of the infestation with the statistic approach including mean and standard deviation. As a result, the study was revealed that the potential temperature range of brown and white-backed planthopper infestation is around 22.966 – 24.337 degrees Celsius under Normal condition (2014), 23.805 – 24.774 degrees Celsius under El Nio condition (2015), and 24.528 – 25.602 degrees Celsius under La Nia condition (2016). Also, the accuracy of identifying the infestation is 70.635, 76.866, and 69.072, respectively. Keywords : The planthopper in Paddy fields ; Temperature ; Landsat 8-TIR ; Thermal Infrared ; Different climate conditionsReferences
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Wanwiset, W. (2015). Climate Change: Effects to Thailand. Retrieved May 12, 2018, from http://library.
senate.go.th/document/Ext10567/10567795_0002.PDF (in Thai)
Charoenhirunyingyot, S. (2016). Detection of the outbreak mealy bug areas in cassava using thermal band. Remote Sensing and GIS Association of Thailand, 17: 371-383. (in Thai)
Cheng, J. (2009). Rice planthopper problemsand relevant causes in China. Retrieved June 30, 2018, from http://delphacid.s3.amazonaws.com/5789.pdf
Chiang Mai News. (2016). Chiang Mai Agriculture Officer Warning of the outbreak of planthopper. Retrieved April 10, 2018, from https://www.chiangmainews.co.th/page/archives/529202/ (in Thai)
Department of the Interior U.S. Geological Survey. (2019). Landsat 8 (L8) Data Users Handbook. Retrieved May 30, 2021, from https://prdwret.s3.uswest2.amazonaws.com/assets/palladium/production/atoms/
files/LSDS-1574_L8_Data_Users_Handbook-v5.0.pdf
Division of Rice Research and Development. (n.d.). Brown planthopper. Retrieved October 25, 2021, from http://prangku.sisaket.doae.go.th/learning/rice/disease%20and%20insect/index.php-file=content.php&id=43.htm (in Thai)
Division of Rice Research and Development. (n.d.). Brown planthopper. Retrieved October 25, 2021, from http://prangku.sisaket.doae.go.th/learning/rice/disease%20and%20insect/index.php-file=content.php&id=46.htm (in Thai)
Ghobadifar, F., Wayayok, A., Mansor, S., and Shafri, H. Z. 2016. Detection of BPH (brown planthopper) sheath blight in rice farming using multispectral remote sensing. Geomatics Natural Hazards & Risk, 7(1): 237-247.
Hashim, I.C. (2020). Application of thermal imaging for plant disease detection. Retrieved May 15, 2021, from https://iopscience.iop.org/article/10.1088/1755-1315/540/1/012052/pdf
Holt, J., Chancellor, T. C. B., Reynolds, D. R., & Tiongco, E. R. 1996. Risk assessment for rice planthopper and tungro disease outbreaks. Crop Protection, 15(4): 359-368.
Maekhu Municipality. (2018). The general information of Maekhu Municipality. Retrieved May 30, 2021, from http://www.maekhu.go.th/about.php?list=&id=1&pid=2 (in Thai)
Nuntavorakarn, P & Tierma, J. (2010). Sustainable Agriculture, Hope for a Cold World turn the global warming crisis with sustainable farming methods. Nonthaburi: Clung Wicha Press (in Thai)
Office of Agricultural Economics. (2009). Agricultural Statistics of Thailand 2008. Bangkok: n.p. (in Thai)
Office of Agricultural Economics. (2018). Agricultural Statistics of Thailand 2017. Bangkok: n.p. (in Thai)
Pandi, G. P. (2016). Impact of Elevated CO2 and Temperature on Brown Planthopper Population in Rice Ecosystem. Retrieved July 10, 2018, from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5846970/
Plant Protection Promotion and Soil-Fertilizer Management Division. (2016). Summary and statistics of important pest situations 2013 - 2015 and pest management guidelines in 2016. Retrieved April 27, 2018, from http://www.ppsf.doae.go.th/pdfevents/pest_forecasting/ (in Thai)
Prasannakumar, N. R., Chander, S., and Sahoo, R. N. (2014). Characterization of brown planthopper damage on rice crops through hyperspectral remote sensing under field conditions. Phytoparasitica, 42(3): 387-395.
The National Agricultural Innovation Project (NAIP) of the Indian Council of Agricultural Research (ICAR). (2018A). Rice brown planthopper (BPH), Nilaparvata lugens Stal (Hemiptera: Delphacidae). Retrieved April 7, 2018, from http://www.crida.in:8080/naip/bph.jsp
The National Agricultural Innovation Project (NAIP) of the Indian Council of Agricultural Research (ICAR). (2018B). Whitebacked planthopper (WBPH), Sogatella furcifera (Horvath). Retrieved April 7, 2018, from http://www.crida.in:8080/naip/wbph.jsp
Wangsilabat, P. (2002). Ecology of Brown plant hopper and volume control. Bangkok: Cooperative Society of Thailand Publisher (in Thai)
Wanwiset, W. (2015). Climate Change: Effects to Thailand. Retrieved May 12, 2018, from http://library.
senate.go.th/document/Ext10567/10567795_0002.PDF (in Thai)
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Published
2022-05-18
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