Evaluation of MODIS derived perpendicular drought index for estimation of surface dryness over northwestern China

Author(s): Qin Q, Ghulam A, Zhu L, Wang L, Li J, et al.

Abstract

In this paper, drought status of northwestern China is evaluated using the Terra–Moderate Resolution Imaging Spectroradiometer (MODIS) data with a newly developed method called perpendicular drought index (PDI), which is defined as a line segment that is parallel with the soil line and perpendicular to the normal line of soil line intersecting the coordinate origin in the two‐dimensional scatter plot of red against near infrared (NIR) wavelength reflectance. To validate the PDI in macroscale applications, quantitative evaluation of drought conditions in Ningxia, Northwestern China is carried out by comparing the PDI with one of the well‐known drought indexes, namely, temperature‐vegetation index (TVX). Linear regression between ground‐measured soil moisture data and the PDI and the TVX was made. Results show that satellite based PDI and TVX has significant correlation with 0–20 cm averaged soil moisture obtained over the meteorological observing stations across the whole study area. The highest correlation of R 2 = 0.48 for the PDI and R 2 = 0.40 for the TVX is obtained when compared with average soil moisture from 0 to 20 cm soil depth. According to the drought critical values defined by soil hydrologic parameters including soil moisture, wilting coefficient and field moisture capacity, the PDI based drought guidelines are established, and then the drought status in the study area is evaluated using the PDI. It is evident from the results showing the spatial distribution of drought in northwestern China that the PDI is highly accordant with field drought status.

Similar Articles

Investigation of climate change in iran

Author(s): Amiri MJ, Eslamian SS

J Environ Eng Sci 13:117–126

Author(s): Carneiro C, Scheer MB, Possetti GRC ( 2018) Phosphorus behaviour in a river during periods of drought and rain

Effects of drought on plant parameters of different rangeland types in Khansar region, Iran

Author(s): Hadian F, Jafari R, Bashari H, Tarkesh M, Clarke KD

Global water resources: vulnerability from climate change and population growth

Author(s): Vörösmarty CJ, Green P, Salisbury J, Lammers RB

Climate-resilient water supply for a mine in the Chilean Andes

Author(s): Correa-Ibanez R, Keir G, McIntyre N

Land-cover change detection using multi-temporal MODIS NDVI data

Author(s): Lunetta RS, Knight JF, Ediriwickrema J, Lyon JG, Worthy LD

Crop yield forecasting on the Canadian Prairies using MODIS NDVI data

Author(s): Mkhabela MS, Bullock P, Raj S, Wang S, Yang Y

The influence of drought and anthropogenic effects on groundwater levels in Orissa, India

Author(s): Panda DK, Mishra A, Jena SK, James BK, Kumar A

GRACE groundwater drought index: Evaluation of California Central Valley groundwater drought

Author(s): Thomas BF, Famiglietti JS, Landerer FW, Wiese DN, Molotch NP, et al.

Improved monitoring of vegetation dynamics at very high latitudes: A new method using MODIS NDVI

Author(s): Beck PSA, Atzberger C, Høgda KA, Johansen B, Skidmore AK

Spatio-temporal variation of throughfall in a hyrcanian plain forest stand in Northern Iran

Author(s): Yousefi S, Sadeghi SH, Mirzaee S, Ploeg MVD, Keesstra S, et al.

Topographic thresholds for plant colonization on semi‐arid eroded slopes

Author(s): Bochet E, García‐Fayos P, Poesen J

Mapping MODIS LST NDVI imagery for drought monitoring in Punjab Pakistan

Author(s): Khan J, Wang P, Xie Y, Wang L, Li L