Long-term (2003–2017) Trends of Vegetation Condition Index (VCI) in Guangdong Using Modis Data and Implications for Drought Assessment

2019 ◽  
Author(s):  
Weijiao Li ◽  
Yunpeng Wang
Keyword(s):  
Condition Index ◽  
Drought Assessment ◽  
Modis Data ◽  
Vegetation Condition ◽  
Vegetation Condition Index

scholarly journals Drought assessment for kharif rice using standardized precipitation index (SPI) and vegetation condition index (VCI)

2021 ◽  
Vol 21 (2) ◽  
pp. 182-187
Author(s):  
DEEPA B. KAMBLE ◽  
SHWETA GAUTAM ◽  
HIMANI BISHT ◽  
SHRADDHA RAWAT ◽  
ARNAB KUNDU
Keyword(s):  
Standardized Precipitation Index ◽  
Condition Index ◽  
Precipitation Index ◽  
Agricultural Drought ◽  
Productivity Index ◽  
Weather Data ◽  
Multiple Regression Equation ◽  
Drought Assessment ◽  
Vegetation Condition ◽  
Vegetation Condition Index

The monthly weather data for 31 years from 1985-2015 was used to analyze the extent of meteorological drought using standardized precipitation index (SPI) over Allahabad, Kanpur and Lucknow. MODIS NDVI data from 2000-2015 was used for monitoring of agricultural drought through NDVI based vegetation condition index (VCI) for all the three districts. The monthly SPI and VCI values from July to October were correlated with productivity index (PI) of kharif rice.Both the indices (SPI and VCI) were positively correlated with PI for all the districts. In Allahabad SPI and VCI during September month showed a significant correlation (0.70**& 0.61*) while in Kanpur VCI during October and SPI of July and August were significantly correlated with PI of kharif Rice. The multiple regression equation developed for predicting kharif rice PI in Allahabad, Kanpur and Lucknow districts explained 69 to 76 per cent variabilityin PI. 

scholarly journals Long-term spatial and temporal variations of vegetative drought based on vegetation condition index in China

Ecosphere ◽  
2017 ◽  
Vol 8 (8) ◽  
pp. e01919 ◽  
Author(s):  
Liang Liang ◽  
Qin Sun ◽  
Xiang Luo ◽  
Jiahui Wang ◽  
Lianpeng Zhang ◽  
...  
Keyword(s):  
Condition Index ◽  
Temporal Variations ◽  
Spatial And Temporal Variations ◽  
Vegetation Condition ◽  
Vegetation Condition Index
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