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Correlation between NDVI and Crop Production

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Remote Sensing in Agriculture and Vegetation".

Deadline for manuscript submissions: closed (15 April 2023) | Viewed by 3014

Special Issue Editor


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Guest Editor
Department of Earth and Environmental Sciences, School of Arts and Sciences, University of Central Asia, 125/1 Toktogul Street, Bishkek, Kyrgyzstan
Interests: remote sensing; GIS; ecology; ecosystem; environment; GPP
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Crop growth monitoring is an important phenomenon for agriculture classification, yield estimation, agriculture field management, productivity improvement, irrigation, fertilizer management, sustainable agricultural development, food security and understanding of how environment and climate change affect crops, especially in large areas, which have diverse agricultural production. It is also important to understand how climate and local factors affect crop growth. The increasing spatial and temporal resolution of globally available satellites such as Landsat and Sentinel-2 provides us with a unique opportunity to monitor crops systematically by vegetation index time-series. This type of analysis work has great potential to provide valuable support for monitoring crop phenology and providing precise management strategies. The dates of active tillering, jointing and maturity detected from NDVI could be useful in supporting crop modeling, extension irrigation, fertilization management, harvest determination and enhancing food security. The satellite-data-generated NDVI-based work has great potential to provide valuable support for assessing crop growth status and the above-mentioned objectives with sustainable agriculture development.

Dr. Mukesh Singh Boori
Guest Editor

Manuscript Submission Information

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Keywords

  • Crop
  • NDVI
  • Agriculture management
  • Improve productivity, irrigation, fertilizer management
  • Sustainable agricultural development
  • Food security
  • Vegetation index
  • Remote Sensing
  • Landsat
  • Sentinel-2

Published Papers (1 paper)

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Research

27 pages, 13086 KiB  
Article
Spatio-Temporal Patterns and Driving Factors of Vegetation Change in the Pan-Third Pole Region
by Xuyan Yang, Qinke Yang and Miaomiao Yang
Remote Sens. 2022, 14(17), 4402; https://doi.org/10.3390/rs14174402 - 4 Sep 2022
Cited by 2 | Viewed by 1707
Abstract
The Pan-Third Pole (PTP) region, one of the areas with the most intense global warming, has seen substantial changes in vegetation cover. Based on the GIMMS NDVI3g and meteorological dataset from 1982 to 2015, this study evaluated the spatio-temporal variation in fractional vegetation [...] Read more.
The Pan-Third Pole (PTP) region, one of the areas with the most intense global warming, has seen substantial changes in vegetation cover. Based on the GIMMS NDVI3g and meteorological dataset from 1982 to 2015, this study evaluated the spatio-temporal variation in fractional vegetation coverage (FVC) by using linear regression analysis, standard deviation, correlation coefficient, and multiple linear regression residuals to explore its response mechanism to climate change and human activities. The findings showed that: (1) the FVC was progressively improved, with a linear trend of 0.003•10a−1. (2) The largest proportion of the contribution to FVC change was found in the unchanged area (39.29%), followed by the obvious improvement (23.83%) and the mild improvement area (13.53%). (3) The impact of both climate change and human activities is dual in FVC changes, and human activities are increasing. (4) The FVC was positively correlated with temperature and precipitation, with a stronger correlation with temperature, and the climate trend was warm and humid. The findings of the study serve to understand the impacts of climate change and human activities on the dynamic changes in the FVC and provide a scientific foundation for ecological conservation and sustainable economic development in the PTP region. Full article
(This article belongs to the Special Issue Correlation between NDVI and Crop Production)
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