Cloudy Region Drought Index (CRDI) Based on Long-Time-Series Cloud Optical Thickness (COT) and Vegetation Conditions Index (VCI): A Case Study in Guangdong, South Eastern China
Open Access
- 5 November 2020
- journal article
- research article
- Published by MDPI AG in Remote Sensing
- Vol. 12 (21), 3641
- https://doi.org/10.3390/rs12213641
Abstract
Widespread and long-lasting drought disasters can aggravate environmental degradation. They can lead to significant economic losses and even affect social stability. The existing drought index mostly chose arid and semi-arid regions as study areas, because cloudy weather in humid and semi-humid regions hindered the satellite in its attempts to obtain the surface reflectivity. In order to solve this problem, a cloudy region drought index (CRDI) is proposed to estimate the drought of the clouded pixels. Due to the cumulative effect of drought, the antecedent drought index (ADI) has a certain impact on the calculation of the current drought. Furthermore, cloud is the only source of natural precipitation, and it also affects the evaporation and emission process on the ground. Therefore, based on the remote sensing drought index, ADI and cloud optical thickness (COT) are used to estimate the drought of pixels with missing data due to cloud occlusion. In this paper, a case study of the cloudy Guangdong, which is located in a humid area, is presented. First, we calculated the CRDI using Moderate Resolution Imaging Spectroradiometer (MODIS) data from 2003 to 2017, and then discussed the effect of CRDI with the data from 2016 as examples. Through the analysis of the parameters of regression equation, filling efficiency, rationality of the estimated value, the continuity of CRDI and the rationality of CRDI spatial distribution results, it is concluded that CRDI can effectively estimate the drought severity of the cloud-covered pixels, and more comprehensive drought data can be obtained by using CRDI. The successful application of CRDI in Guangdong shows it is robust and flexible, suggesting high efficiency and great potential for further utilization.This publication has 26 references indexed in Scilit:
- Analysis of agricultural drought using vegetation temperature condition index (VTCI) from Terra/MODIS satellite dataEnvironmental Monitoring and Assessment, 2011
- Changes in Cloud Optical Thickness and Cloud Drop Size Associated with Precipitation Measured with TRMM SatelliteJournal of the Meteorological Society of Japan. Ser. II, 2009
- Evaluation of MODIS NDVI and NDWI for vegetation drought monitoring using Oklahoma Mesonet soil moisture dataGeophysical Research Letters, 2008
- NMDI: A normalized multi‐band drought index for monitoring soil and vegetation moisture with satellite remote sensingGeophysical Research Letters, 2007
- Analyzing spatial patterns of meteorological drought using standardized precipitation indexMeteorlogical Applications, 2007
- Tree-Ring Based Drought Reconstruction (A.D. 1855–2001) for the Qilian Mountains, Northwestern ChinaTree-Ring Research, 2007
- A five‐year analysis of MODIS NDVI and NDWI for grassland drought assessment over the central Great Plains of the United StatesGeophysical Research Letters, 2007
- A Perfect SmootherAnalytical Chemistry, 2003
- Remote sensing of weather impacts on vegetation in non-homogeneous areasInternational Journal of Remote Sensing, 1990
- Tree-Ring-Drought Relationships in the Hudson Valley, New YorkScience, 1977