The Drought Severity Index (DSI) was computed, based on NDVI and ET/PET datasets from 2000 to 2014 over

China, and was used for agricultural drought monitoring. Trends of droughts were characterized using the

modified Mann-Kendall trend test, and the Pearson correlation method was used to determine the relation between

the crop yield and drought-affected areas monitored by DSI. Results indicated the following: 1) DSI

satisfactorily monitored agricultural droughts in both space and time, but could not decide the end of a drought,

because drought-induced vegetation degradation could not recover in due time and generally a time lag of one or

two months can be expected for the ending time of DSI-based droughts. 2) Two time intervals during the study

period were identified with serious drought conditions, i.e. 2000–2001 and 2007–2009, and typical drought

years, such as 2000, 2001, 2007, and 2009, were successfully monitored by DSI. Furthermore, droughts occurred

mainly in northeastern, northern and southwestern parts of China. (3) Maize and wheat are the dominant crops

in regions with high frequency of droughts and are hence under risk of drought hazards. Moreover, during the

growing season maize and wheat are more sensitive to drought hazards and substantial agricultural losses can be

expected due to droughts. (4) Agricultural irrigation introduced uncertainty in agricultural drought monitoring

using drought indices. Therefore, no agricultural losses but frequent droughts were observed in northern China.

This study provides a theoretical basis for application of DSI to agricultural monitoring across China and perhaps

in other regions of the globe.

Multisource data based agricultural drought monitoring and agricultural.pdf

Multisource data based agricultural drought monitoring and agricultural.pdf