{"title":"《日本道州-平日学刊》93 - 6摘要","authors":"","doi":"10.1080/00380768.2023.2179242","DOIUrl":null,"url":null,"abstract":"We conducted a field experiment for two successive years with direct seeded rice in the northern Sorachi region of Hokkaido, Japan, to understand the relationship between the normalized difference vegetation index (NDVI) measured by two types of optical sensors and the rice growth index from the fifth leaf stage to the heading stage, as well as to estimate the N uptake from the NDVI. A strong positive exponential correlation was observed between the NDVI and N uptake regardless of the type of sensor used. The correlation could be expressed by a single exponential formula regardless of the growth year or seeding patterns until the heading stage. The NDVI values obtained by the handheld crop sensor had a higher regression coefficient of the estimated N uptake (R 2 = 0.88 and root mean square (RMSE) = 15.4 kg ha −1 ) than those obtained by the satellite image (R 2 = 0.68 and RMSE = 24.9 kg ha −1 ). According to the regression curve between NDVI and N uptake, when the NDVI values were higher to a certain level and were saturated, N uptake consid-erably increased at a similar NDVI regardless of the type of sensor used. Therefore, the regression equations with the NDVI values obtained by the handheld crop sensor were recal-culated when the R 2 was maximum (NDVI <0.76), yielding an RMSE of 12.3 kg ha −1 . Although the RMSE of the estimated N uptake by the NDVI obtained by the handheld crop sensor was slightly higher than the investigation of the growth index (plant length × tiller numbers × leaf color value) (R 2 = 0.92, RMSE = 12.7 kg ha −1 ), it could be a more practical method in terms of ease and investigation time.","PeriodicalId":21852,"journal":{"name":"Soil Science and Plant Nutrition","volume":"71 1","pages":"148 - 149"},"PeriodicalIF":1.9000,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Abstracts of Nippon Dojo-Hiryogaku Zasshi 93 - 6\",\"authors\":\"\",\"doi\":\"10.1080/00380768.2023.2179242\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We conducted a field experiment for two successive years with direct seeded rice in the northern Sorachi region of Hokkaido, Japan, to understand the relationship between the normalized difference vegetation index (NDVI) measured by two types of optical sensors and the rice growth index from the fifth leaf stage to the heading stage, as well as to estimate the N uptake from the NDVI. A strong positive exponential correlation was observed between the NDVI and N uptake regardless of the type of sensor used. The correlation could be expressed by a single exponential formula regardless of the growth year or seeding patterns until the heading stage. The NDVI values obtained by the handheld crop sensor had a higher regression coefficient of the estimated N uptake (R 2 = 0.88 and root mean square (RMSE) = 15.4 kg ha −1 ) than those obtained by the satellite image (R 2 = 0.68 and RMSE = 24.9 kg ha −1 ). According to the regression curve between NDVI and N uptake, when the NDVI values were higher to a certain level and were saturated, N uptake consid-erably increased at a similar NDVI regardless of the type of sensor used. Therefore, the regression equations with the NDVI values obtained by the handheld crop sensor were recal-culated when the R 2 was maximum (NDVI <0.76), yielding an RMSE of 12.3 kg ha −1 . Although the RMSE of the estimated N uptake by the NDVI obtained by the handheld crop sensor was slightly higher than the investigation of the growth index (plant length × tiller numbers × leaf color value) (R 2 = 0.92, RMSE = 12.7 kg ha −1 ), it could be a more practical method in terms of ease and investigation time.\",\"PeriodicalId\":21852,\"journal\":{\"name\":\"Soil Science and Plant Nutrition\",\"volume\":\"71 1\",\"pages\":\"148 - 149\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2023-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Soil Science and Plant Nutrition\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1080/00380768.2023.2179242\",\"RegionNum\":4,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Soil Science and Plant Nutrition","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1080/00380768.2023.2179242","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
为了了解两种光学传感器测量的归一化植被指数(NDVI)与水稻从第五叶期到抽穗期生长指数的关系,并利用NDVI估算水稻对氮的吸收,我们在日本北海道北部Sorachi地区进行了连续两年的田间试验。无论使用何种类型的传感器,NDVI与N吸收量之间都存在很强的正指数相关性。在抽穗期之前,无论生育期或播种方式如何,其相关性都可以用单一指数公式表示。与卫星影像(r2 = 0.68, RMSE = 24.9 kg ha - 1)相比,手持作物传感器获得的NDVI值具有更高的N吸收量回归系数(r2 = 0.88, RMSE = 15.4 kg ha - 1)。从NDVI与N吸收量的回归曲线可以看出,当NDVI达到一定水平并达到饱和时,在相似的NDVI下,无论使用何种类型的传感器,N吸收量都明显增加。因此,在r2最大(NDVI <0.76)时,重新计算手持作物传感器获得的NDVI值的回归方程,得到RMSE为12.3 kg ha−1。虽然手持式作物传感器NDVI估算氮吸收的RMSE略高于生长指数(株长×分蘖数×叶色值)的调查(r2 = 0.92, RMSE = 12.7 kg ha - 1),但从易用性和调查时间来看,它可能是一种更实用的方法。
We conducted a field experiment for two successive years with direct seeded rice in the northern Sorachi region of Hokkaido, Japan, to understand the relationship between the normalized difference vegetation index (NDVI) measured by two types of optical sensors and the rice growth index from the fifth leaf stage to the heading stage, as well as to estimate the N uptake from the NDVI. A strong positive exponential correlation was observed between the NDVI and N uptake regardless of the type of sensor used. The correlation could be expressed by a single exponential formula regardless of the growth year or seeding patterns until the heading stage. The NDVI values obtained by the handheld crop sensor had a higher regression coefficient of the estimated N uptake (R 2 = 0.88 and root mean square (RMSE) = 15.4 kg ha −1 ) than those obtained by the satellite image (R 2 = 0.68 and RMSE = 24.9 kg ha −1 ). According to the regression curve between NDVI and N uptake, when the NDVI values were higher to a certain level and were saturated, N uptake consid-erably increased at a similar NDVI regardless of the type of sensor used. Therefore, the regression equations with the NDVI values obtained by the handheld crop sensor were recal-culated when the R 2 was maximum (NDVI <0.76), yielding an RMSE of 12.3 kg ha −1 . Although the RMSE of the estimated N uptake by the NDVI obtained by the handheld crop sensor was slightly higher than the investigation of the growth index (plant length × tiller numbers × leaf color value) (R 2 = 0.92, RMSE = 12.7 kg ha −1 ), it could be a more practical method in terms of ease and investigation time.
期刊介绍:
Soil Science and Plant Nutrition is the official English journal of the Japanese Society of Soil Science and Plant Nutrition (JSSSPN), and publishes original research and reviews in soil physics, chemistry and mineralogy; soil biology; plant nutrition; soil genesis, classification and survey; soil fertility; fertilizers and soil amendments; environment; socio cultural soil science. The Journal publishes full length papers, short papers, and reviews.