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Keyword: NDVI
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Open AccessArticle
7 Pages, 943 KB Download PDF

Estimating LAI of Rice Using NDVI Derived from MODIS Surface Reflectance

Advances in Science, Technology and Engineering Systems Journal, Volume 5, Issue 6, Page # 1047–1053, 2020; DOI: 10.25046/aj0506127
Abstract:

The measurement of Leaf Area Index is of fundamental importance in agriculture and ecological research because it reflects plant growth. This study aims to estimate LAI from, NDVI derived from standard eight days composite MODIS surface reflectance, acquired during the rice growing period. A two-stage model was developed to relate the LAI of rice to…

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(This article belongs to Section Agriculture, Multidisciplinary (AMU))
Open AccessArticle
12 Pages, 2,741 KB Download PDF

Visualization of the Effect of Additional Fertilization on Paddy Rice by Time-Series Analysis of Vegetation Indices using UAV and Minimizing the Number of Monitoring Days for its Workload Reduction

Advances in Science, Technology and Engineering Systems Journal, Volume 9, Issue 3, Page # 29–40, 2024; DOI: 10.25046/aj090303
Abstract:

This research is an extension of the research (ISEEIE 2023), which dealt with Time-Series Clustering (TSC) of Vegetation Index (VI) for paddy rice. The novelty of this research is “Visualization of growth changes before and after additional fertilization,” “Analyzing the appropriate amount of additional fertilizer,” and “Optimization of monitoring period to minimize the number of…

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(This article belongs to the SP16 (Special Issue on Computing, Engineering and Multidisciplinary Sciences 2024) & Section Agronomy (AGN))
Open AccessArticle
16 Pages, 2,509 KB Download PDF

Spatio-Temporal Analysis of Drought over the Guinean-Sudano Ecological Zone, Northern Nigeria

Advances in Science, Technology and Engineering Systems Journal, Volume 6, Issue 6, Page # 151–166, 2021; DOI: 10.25046/aj060620
Abstract:

Drought has become more common and severe in recent decades due to increased global changes in climatic conditions and anthropogenic activities thereby analyzing drought at both regional and local levels is crucial. And so, this study aims at assessing drought risk in Northern Nigeria using NDVI and SPI. Data used included satellite images (Landsat OLI-TIRS,…

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(This article belongs to Section Environmental Sciences (ENS))

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