Evaluation of EDI derived from the exponential evapotranspiration model for monitoring China’s surface drought

Yao, Yunjun; Qin, Qiming; Fadhil, Ayad Mohammed; Li, Yufu; Zhao, Shuang; Liu, Shaomin; Sui, Xinxin; Dong, Hefeng

doi:10.1007/s12665-011-0972-5

Cited by 24 publications

(10 citation statements)

References 52 publications

(45 reference statements)

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“…ET was found inconsistent with EC measurements; an overestimation of canopy resistance was reported for LAI \2.5. For monitoring China's surface drought events, evaporative drought index (EDI) has been used based on the exponential evapotranspiration (ET) model and Hargreaves equation from JAXA-MODIS Insolation products, GEWEX, NCEP-2 and MODIS NDVI data (Yao et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Spatial simulation of evapotranspiration of semi-arid Inner Mongolian grassland based on MODIS and eddy covariance data

2011

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In semi-arid regions of Central Asia, water shortage results from low annual precipitation (P) with high interannual variability. Evapotranspiration (ET) dominates water balance losses entirely. Previous studies showed large differences between individual grassland sites in the partitioning of ET into evaporation and transpiration, but only little difference in the evaporative ratio ET/P. The hydrological model BROOK90 was applied to the Xilin river catchment in Inner Mongolia (China) in combination with data from moderate resolution imaging spectroradiometer (MODIS) and ET measurements. The ET part of the model was parameterised using several years of eddy covariance (EC) measurements over grasslands differing in grazing intensity and leaf area index (LAI). Using a relatively well-established relationship of LAI and P as well as LAI and temperature derived from MODIS, the water balance components of a 16 km 2 sample area in the catchment were modelled with a 1 km 2 resolution for the vegetation period of 2006. All pixels were modelled assuming a similar ET control as at the EC sites. Spatial variation in ET as well as in the partitioning of ET between transpiration and evaporation could be identified. The results indicate the potential of using MODIS data and BROOK90 to upscale ET of semi-arid grasslands from site to larger grass dominated catchments.

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Section: Introductionmentioning

confidence: 99%

Spatial simulation of evapotranspiration of semi-arid Inner Mongolian grassland based on MODIS and eddy covariance data

2011

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“…A semi-empirical model, i.e., the exponential evapotranspiration model, was proposed by [48] to estimate China's evapotranspiration for April to September of 2004 by MODIS data, and experimental results validated that it was useful for monitoring China's surface drought events.…”

Section: Evapotranspirationmentioning

confidence: 99%

A Review of Remote Sensing for Environmental Monitoring in China

et al. 2020

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The natural environment is essential for human survival and development since it provides water resources, land resources, biological resources and climate resources etc. As a developing country, China has witnessed a significant change in the natural environment in recent decades; and therefore, monitoring and mastering the status of the environment is of great significance. Due to the characteristics of large-scale and dynamic observation, remote sensing technology has been an indispensable approach for environmental monitoring. This paper reviews the satellite resources, institutions and policies for environmental monitoring in China, and the advances in research and application of remote sensing from five aspects: ecological index retrieval, environmental monitoring in protected areas, rural areas, urban areas and mining areas. The remote sensing models and methods for various types of environmental monitoring, and the specific applications in China are comprehensively summarized. This paper also points out major challenges existing at the current stage: satellite sensor problems, integrated use challenges of datasets, uncertainty in the retrieval process of ecological variables, scaling effect problems, a low degree of automation, the weak ability of forecasting and comprehensive analysis, and a lack of computational power for massive datasets. Finally, the development trend and future directions are put forward to direct the research and application of environmental monitoring and protection in the new era.

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“…This can majorly affect spectroscopy absorption features (Hunt, 1980 andWeismiller et al, 1985). Remote sensing datasets and techniques were effectively used in several environmental applications in several countries (Fadhil, 2011(Fadhil, , 2013Wu et al 2019, Gaznayee and Al-Quraishi 2019, Alqasemi et al 2020a, Alqasemi et al 2020b, Kumar et al 2019Wu et al 2018;Yao et al 2011). The surface mineralogical features can be effectively mapping by remote sensing technology, especially Iron oxide, which has significant influences on the soil's spectral reflectance characteristics (Ciampalini et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Potential of Multispectral Satellite Data for Superficial Iron Oxide Detection in Sulaimaniyah, Iraqi Kurdistan Region

Al-Quraishi

Mustafa

Gopinathan

et al. 2020

jgier

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This study primarily investigates the total (Fe) iron presence in Sulaimaniyah Governorate, the Iraqi Kurdistan Region (IKR), which has an abundance of iron mines. Spatial quantification and frequent monitoring of mineral existence in the soil are essential in the mining regions. To achieve this goal, a remote sensing technique was utilized to predict soil minerals, particularly iron existence in the study area using a multispectral satellite image, Landsat-7 Enhanced Thematic Mapper Plus (ETM+). A robust methodology was perceived and developed from image processing to estimate and map iron oxides rich soils, and soil’s spectral indices were obtained after algorithms applied in processing on the bands of Landsat image. Soil samples were collected and analyzed in the laboratory to determine the chemical, physical, and mineralogical characteristics of soils. Correlation coefficients were carried out between soil properties and spectral band values retrieved from image analysis to examine the band potentials of Landsat. The statistical results showed that there was a significant relationship between the 3rd band of the ETM+ image and each of the total iron (R2 = 0.643), the free iron oxide (R2 = 0.659), and sand particles (R2 = 0.561). The predicted soil mineral maps were generated for the study area to visualize the study site's soil characterization and total iron spread. This study results could help primarily identify the spatial distribution of some soil properties in Sulaimaniyah, Iraq.

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Evaluation of EDI derived from the exponential evapotranspiration model for monitoring China’s surface drought

Cited by 24 publications

References 52 publications

Spatial simulation of evapotranspiration of semi-arid Inner Mongolian grassland based on MODIS and eddy covariance data

Spatial simulation of evapotranspiration of semi-arid Inner Mongolian grassland based on MODIS and eddy covariance data

A Review of Remote Sensing for Environmental Monitoring in China

Potential of Multispectral Satellite Data for Superficial Iron Oxide Detection in Sulaimaniyah, Iraqi Kurdistan Region

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