NDVI Variation and Yield Prediction in Growing Season: A Case Study with Tea in Tanuyen Vietnam
Open Access
- 27 July 2021
- journal article
- research article
- Published by MDPI AG in Atmosphere
- Vol. 12 (8), 962
- https://doi.org/10.3390/atmos12080962
Abstract
Tea is one of the most significant cash crops and plays an important role in economic development and poverty reduction. On the other hand, tea is an optimal choice in the extreme weather conditions of Tanuyen Laichau, Vietnam. In our study, the NDVI variation of tea in the growing season from 2009 to 2018 was showed by calculating NDVI trend and the Mann-Kendall analysis to assess trends in the time series. Support Vector Machine (SVM) and Random Forest (RF) model were used for predicting tea yield. The NDVI of tea showed an increasing trend with a slope from −0.001–0.001 (88.9% of the total area), a slope from 0.001–0.002 (11.1% of the total area) and a growing rate of 0.00075/year. The response of tea NDVI to almost climatic factor in a one-month time lag is higher than the current month. The tea yield was estimated with higher accuracy in the RF model. Among the input variables, we detected that the role of Tmean and NDVI is stronger than other variables when squared with each of the independent variables into input data.Funding Information
- the National Natural Science Foundation of China Program ((41890822), 2018YFB2100500, 2016CFA003, 2042017GF0057, 41771422, 41971351, 41601406, and 41801339)
This publication has 44 references indexed in Scilit:
- Spatiotemporal Variation of NDVI in the Vegetation Growing Season in the Source Region of the Yellow River, ChinaISPRS International Journal of Geo-Information, 2020
- A Review of Remote Sensing for Environmental Monitoring in ChinaRemote Sensing, 2020
- Spatiotemporal changes of NDVI and correlation with meteorological factors in northern china from 1985-2015E3S Web of Conferences, 2019
- Spatiotemporal Variations of Growing-season NDVI Associated with Climate Change in Northeastern China’s Permafrost ZonePolish Journal of Environmental Studies, 2017
- Linear Spectral Mixture Analysis of SPOT-7 for Tea Yield Estimation in Pagilaran Estate, Batang Central JavaIOP Conference Series: Earth and Environmental Science, 2016
- NDVI Variation and Its Responses to Climate Change on the Northern Loess Plateau of China from 1998 to 2012Advances in Meteorology, 2015
- Assessing Land Degradation and Desertification Using Vegetation Index Data: Current Frameworks and Future DirectionsRemote Sensing, 2014
- NDVI variation and its relation to climate in Canadian ecozonesThe Canadian Geographer / Le Géographe canadien, 2012
- A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forestsForest Ecology and Management, 2010
- Annual and seasonal variation of NDVI explained by current and previous precipitation across Northern PatagoniaJournal of Arid Environments, 2009