Drought remote sensing monitoring based on the Modified Perpendicular Drought Index method

Zhang, Hongwei; Chen, Huailiang; Shen, Suhung; Zou, Chunhui

doi:10.1117/12.800044

Cited by 2 publications

(3 citation statements)

References 7 publications

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“…These indices have proved to be efficient over bare soil surfaces Zhang et al 2008;Ghulam et al 2008). …”

Section: Introductionmentioning

confidence: 98%

“…In the literature, many indices based on NIR spectral reflectance have been developed to monitor soil moisture, such as the perpendicular drought index (PDI; Ghulam et al 2007), the distance drought index (DDI; Yang et al 2008), and the surface water content index (SWCI; Zhang et al 2008;Du et al 2013). These indices have proved to be efficient over bare soil surfaces Zhang et al 2008;Ghulam et al 2008).…”

Section: Introductionmentioning

confidence: 99%

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Monitoring surface water content using visible and short-wave infrared SPOT-5 data of wheat plots in irrigated semi-arid regions

Benabdelouahab

Balaghi²,

Hadria³

et al. 2015

International Journal of Remote Sensing

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Irrigated agriculture is an important strategic sector in arid and semi-arid regions. Given the large spatial coverage of irrigated areas, operational tools based on satellite remote sensing can contribute to their optimal management. The aim of this study was to evaluate the potential of two spectral indices, calculated from SPOT-5 highresolution visible (HRV) data, to retrieve the surface water content values (from bare soil to completely covered soil) over wheat fields and detect irrigation supplies in an irrigated area. These indices are the normalized difference water index (NDWI) and the moisture stress index (MSI), covering the main growth stages of wheat. These indices were compared to corresponding in situ measurements of soil moisture and vegetation water content in 30 wheat fields in an irrigated area of Morocco, during the 2012-2013 and 2013-2014 cropping seasons. NDWI and MSI were highly correlated with in situ measurements at both the beginning of the growing season (sowing) and at full vegetation cover (grain filling). From sowing to grain filling, the best correlation (R 2 = 0.86; p < 0.01) was found for the relationship between NDWI values and observed soil moisture values. These results were validated using a k-fold crossvalidation methodology; they indicated that NDWI can be used to estimate and map surface water content changes at the main crop growth stages (from sowing to grain filling). NDWI is an operative index for monitoring irrigation, such as detecting irrigation supplies and mitigating wheat water stress at field and regional levels in semi-arid areas.

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“…These indices have proved to be efficient over bare soil surfaces Zhang et al 2008;Ghulam et al 2008). …”

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Monitoring surface water content using visible and short-wave infrared SPOT-5 data of wheat plots in irrigated semi-arid regions

Benabdelouahab

Balaghi²,

Hadria³

et al. 2015

International Journal of Remote Sensing

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show abstract

“…The validation results indicate that SWCI has strong correlation with soil water content in Inner Mongolia and Liaoning Province of China (Du et al 2007). Compared with NDVI, SWCI also presents higher correlation with the average soil moisture for the 0-50 cm layer in Henan Province of China (Zhang et al 2008). …”

Section: Surface Water Capacity Index (Swci)mentioning

confidence: 95%

Evaluation of the visible and shortwave infrared drought index in China

Zhang

Hong

Qin

et al. 2013

Int J Disaster Risk Sci

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In this article, the performance of the Visible and Shortwave infrared Drought Index (VSDI), a drought index recently developed and validated in Oklahoma, United States, is further explored and validated in China. The in-situ measured soil moisture from 585 weather stations across China are used as ground-truth data, and five commonly used drought indices are compared with VSDI for surface drought monitoring. The results reveal that VSDI is robust and reliable in the estimation of surface dryness-it has the highest correlation with soil moisture among the six indices when computed using both the original and cloud removed data. All six indices show the highest correlation with soil moisture at the 10 cm layer and the averaged 10-50 cm layer. The spatiotemporal patterns of surface moisture indicated by the MODIS-based VSDI are further compared with the precipitation-based drought maps and the Global Land Data Assimilation System (GLDAS) simulated surface soil moisture maps over five provinces located in the Middle-Lower Yangtze Plain of China. The results indicate that despite the difference between the spatial and temporal resolutions of the three products, the VSDI maps still show good agreement with the other two drought products through the rapidly alternating drought and flood events in 2011 in this region. Therefore, VSDI can be used as an effective surface wetness indicator at both the provincial and the national scales in China.

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Drought remote sensing monitoring based on the Modified Perpendicular Drought Index method

Cited by 2 publications

References 7 publications

Monitoring surface water content using visible and short-wave infrared SPOT-5 data of wheat plots in irrigated semi-arid regions

Monitoring surface water content using visible and short-wave infrared SPOT-5 data of wheat plots in irrigated semi-arid regions

Evaluation of the visible and shortwave infrared drought index in China

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