Nanthawat Jomsrekrayom, Pattanapol Meena, T. Laosuwan
{"title":"基于TERRA/MODIS卫星资料的泰国东北部中部植被干旱变化时空分析","authors":"Nanthawat Jomsrekrayom, Pattanapol Meena, T. Laosuwan","doi":"10.21163/gt_2021.163.06","DOIUrl":null,"url":null,"abstract":": Drought is one of Thailand’s most common catastrophes and causes a considerable amount of damage, especially to farming, in the northeast of the country. The objective of this study is to analyze vegetation drought variability from a vegetation phenology perspective using the vegetation condition index (VCI( from Terra/MODIS satellite data in the middle of the northeast region of Thailand .The MOD09A1 dataset from Terra/MODIS satellites was analyzed using the normalized difference vegetation index (NDVI(, and the results were analyzed with the VCI to examine vegetation drought variability in July, August, and September 2009–2019. The study found that in August 2013, the drought was most severe and accounted for 47.71% coverage (22,456 .76 km 2 (, and in September 2013, the drought was the least severe at 55.55% coverage (17,456 .42 km 2. ( Moreover, using simple linear regression analysis, the VCI results for each month of the 11-year period were used to find the statistical correlation with rainfall data from ground monitoring stations. It found that July, August, and September showed a coefficient of determination (r 2 (equal to 0.835, 0.834, and 0 .849, respectively . The r 2 value showed that this method was reliable. Furthermore, the analyzed VCI averages can be used as a very good indicator of drought in the middle of the northeast region of Thailand .","PeriodicalId":45100,"journal":{"name":"Geographia Technica","volume":" ","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"SPATIOTEMPORAL ANALYSIS OF VEGETATION DROUGHT VARIABILITY IN THE MIDDLE OF THE NORTHEAST REGION OF THAILAND USING TERRA/MODIS SATELLITE DATA\",\"authors\":\"Nanthawat Jomsrekrayom, Pattanapol Meena, T. Laosuwan\",\"doi\":\"10.21163/gt_2021.163.06\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": Drought is one of Thailand’s most common catastrophes and causes a considerable amount of damage, especially to farming, in the northeast of the country. The objective of this study is to analyze vegetation drought variability from a vegetation phenology perspective using the vegetation condition index (VCI( from Terra/MODIS satellite data in the middle of the northeast region of Thailand .The MOD09A1 dataset from Terra/MODIS satellites was analyzed using the normalized difference vegetation index (NDVI(, and the results were analyzed with the VCI to examine vegetation drought variability in July, August, and September 2009–2019. The study found that in August 2013, the drought was most severe and accounted for 47.71% coverage (22,456 .76 km 2 (, and in September 2013, the drought was the least severe at 55.55% coverage (17,456 .42 km 2. ( Moreover, using simple linear regression analysis, the VCI results for each month of the 11-year period were used to find the statistical correlation with rainfall data from ground monitoring stations. It found that July, August, and September showed a coefficient of determination (r 2 (equal to 0.835, 0.834, and 0 .849, respectively . The r 2 value showed that this method was reliable. Furthermore, the analyzed VCI averages can be used as a very good indicator of drought in the middle of the northeast region of Thailand .\",\"PeriodicalId\":45100,\"journal\":{\"name\":\"Geographia Technica\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.7000,\"publicationDate\":\"2021-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geographia Technica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21163/gt_2021.163.06\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geographia Technica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21163/gt_2021.163.06","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
SPATIOTEMPORAL ANALYSIS OF VEGETATION DROUGHT VARIABILITY IN THE MIDDLE OF THE NORTHEAST REGION OF THAILAND USING TERRA/MODIS SATELLITE DATA
: Drought is one of Thailand’s most common catastrophes and causes a considerable amount of damage, especially to farming, in the northeast of the country. The objective of this study is to analyze vegetation drought variability from a vegetation phenology perspective using the vegetation condition index (VCI( from Terra/MODIS satellite data in the middle of the northeast region of Thailand .The MOD09A1 dataset from Terra/MODIS satellites was analyzed using the normalized difference vegetation index (NDVI(, and the results were analyzed with the VCI to examine vegetation drought variability in July, August, and September 2009–2019. The study found that in August 2013, the drought was most severe and accounted for 47.71% coverage (22,456 .76 km 2 (, and in September 2013, the drought was the least severe at 55.55% coverage (17,456 .42 km 2. ( Moreover, using simple linear regression analysis, the VCI results for each month of the 11-year period were used to find the statistical correlation with rainfall data from ground monitoring stations. It found that July, August, and September showed a coefficient of determination (r 2 (equal to 0.835, 0.834, and 0 .849, respectively . The r 2 value showed that this method was reliable. Furthermore, the analyzed VCI averages can be used as a very good indicator of drought in the middle of the northeast region of Thailand .
期刊介绍:
Geographia Technica is a journal devoted to the publication of all papers on all aspects of the use of technical and quantitative methods in geographical research. It aims at presenting its readers with the latest developments in G.I.S technology, mathematical methods applicable to any field of geography, territorial micro-scalar and laboratory experiments, and the latest developments induced by the measurement techniques to the geographical research. Geographia Technica is dedicated to all those who understand that nowadays every field of geography can only be described by specific numerical values, variables both oftime and space which require the sort of numerical analysis only possible with the aid of technical and quantitative methods offered by powerful computers and dedicated software. Our understanding of Geographia Technica expands the concept of technical methods applied to geography to its broadest sense and for that, papers of different interests such as: G.l.S, Spatial Analysis, Remote Sensing, Cartography or Geostatistics as well as papers which, by promoting the above mentioned directions bring a technical approach in the fields of hydrology, climatology, geomorphology, human geography territorial planning are more than welcomed provided they are of sufficient wide interest and relevance.