Remote sensing of agricultural drought monitoring: A state of art review

Hazaymeh, Khaled; Hassan, Quazi K.

doi:10.3934/environsci.2016.4.604

Cited by 70 publications

(29 citation statements)

References 75 publications

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“…The distinction between drought and normal condition should be relative depending on the area and period [1]. Furthermore, the vulnerability to drought varies highly depending on the land properties.…”

Section: Agricultural Drought Indexmentioning

confidence: 99%

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Different Agricultural Responses to Extreme Drought Events in Neighboring Counties of South and North Korea

et al. 2019

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Satellite-based remote sensing techniques have been widely used to monitor droughts spanning large areas. Various agricultural drought indices have been developed to assess the intensity of agricultural drought and to detect damaged crop areas. However, to better understand the responses of agricultural drought to meteorological drought, agricultural management practices should be taken into consideration. This study aims to evaluate the responses to drought under different forms of agricultural management for the extreme drought that occurred on the Korean Peninsula in 2014 and 2015. The 3-month standardized precipitation index (SPI3) and the 3-month vegetation health index (VHI3) were selected as a meteorological drought index and an agricultural drought index, respectively. VHI3, which comprises the 3-month temperature condition index (TCI3) and the 3-month vegetation condition index (VCI3), differed significantly in the study area during the extreme drought. VCI3 had a different response to the lack of precipitation in South and North Korea because it was affected by irrigation. However, the time series of TCI3 were similar in South and North Korea. These results meant that each drought index has different characteristics and should be utilized with caution. Our results are expected to help comprehend the responses of the agricultural drought index on meteorological drought depending on agricultural management.

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Section: Agricultural Drought Indexmentioning

confidence: 99%

“…Drought is a common climatic phenomenon in most climatic regimes. However, in some cases, it can be a critical natural hazard that affects agricultural, hydrological, and socioeconomic systems [1,2]. The limitation of water supply caused by drought can occur over a broad spectrum in a large-scale area for a long-term period [3,4].…”

Section: Introductionmentioning

confidence: 99%

Different Agricultural Responses to Extreme Drought Events in Neighboring Counties of South and North Korea

et al. 2019

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“…Remote sensing-based observations such as satellite and radar can complement data collected by ground systems. Satellites can observe soil and vegetation moisture or provide images to estimate the SPI to understand drought conditions [96][97][98]. A technique called data assimilation integrates remote sensing-based data and improves the performance of large-scale models for extreme forecasting, such as weather prediction models (WRFs) [99][100][101].…”

Section: Monitoringmentioning

confidence: 99%

“…Traditional observation approach [92,94] Remote sensing techniques [96][97][98] Advanced monitoring network [115][116][117][118] Impact Assessment, Response, and Management…”

Section: Droughtmentioning

confidence: 99%

A General Overview of the Risk-Reduction Strategies for Floods and Droughts

Yang

Liu

2020

Sustainability

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Water is a limited resource but essential to sustaining life and supporting economic development. Only 2.5% of all the water on Earth is freshwater and can be used to meet basic human needs such as a clean supply of water for drinking, cooking, and bathing. Water scarcity is the result of an imbalance between supply and demand. Efficient water resource management is definitely of interest to research and is a practical topic. At the same time, water-related disasters such as floods and droughts cause the loss of life and property. Disasters increase the difficulty of effective water resource management. An increase in climate extremes can also increase the risk of floods and droughts. This overview covers 150 peer-reviewed journal publications from the last twenty years focusing on risk-reduction strategies for floods and droughts. First, a definition and classification of flood and drought was introduced. Second, studies and techniques associated with risk reduction were grouped into three themes and discussed: prediction and warning; monitoring; and impact assessment, response, and management. As a result, many studies were solely focused on, and achieve excellence in, their own themes. Special attention was needed to find in these studies what can convert the adverse impacts such as flood water to positive outcomes such as drought relief. Multidisciplinary cooperation is necessary to achieve sustainability and to adapt to climate change. Finally, advanced techniques such as artificial intelligence (AI) and the internet of things (IoT) were foreseen to have a tremendous impact on future disaster risk reduction.

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“…The optical remote sensing data in wavelength ranges (0.4-2.5 mm) have been used as input to drought indices (Dalezios et al 2012). In multispectral data spectral ranges: red, near infrared (NIR) and shortwave infrared (SWIR) are commonly used bands due to their response to vegetation greenness and wetness condition using vegetation indices (VIs) (Hazaymeh and Hassan 2016). VIs such as Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), and Leaf Area Index (LAI) are used to represent vegetation condition in drought indices because the state of vegetation condition normally indicates the underlying soil moisture content (MAO et al 2012;Abbas et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Assessment of drought conditions using HJ-1A/1B data: a case study of Potohar region, Pakistan

Aziz

Umar

Mansha

et al. 2018

Geomatics, Natural Hazards and Risk

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Drought is a natural disaster which causes global damages and affects people. In this work, a comparative study of different drought indices such as Normalized Difference Vegetation Index (NDVI), Deviation NDVI (DevNDVI), Vegetation Condition Index (VCI) and Temperature Condition Index (TCI) from HJ-1A/1B multispectral data is discussed. These indices have shown potential to detect the drought severity. The objective of this study is to monitor drought in the Potohar region using HJ-1A/1B satellite data, from late November to April during 2009-2014. Additionally, results obtained from satellite data have been verified using ground-based rainfall and crop yield data. The results concluded that the Potohar region faced drought condition in 2010, which is further verified by ground data. Furthermore, NDVI and VCI in this region are found more effective than other drought indices. On the basis of validation of individual drought index with crop yield data, each index is assigned weight accordingly. Moreover, the combination of indices has the ability to detect time periods where drought is affecting the yield production. Regular monitoring and mapping of satellite-based drought indices would play an important role in predicting drought conditions.

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Remote sensing of agricultural drought monitoring: A state of art review

Cited by 70 publications

References 75 publications

Different Agricultural Responses to Extreme Drought Events in Neighboring Counties of South and North Korea

Different Agricultural Responses to Extreme Drought Events in Neighboring Counties of South and North Korea

A General Overview of the Risk-Reduction Strategies for Floods and Droughts

Assessment of drought conditions using HJ-1A/1B data: a case study of Potohar region, Pakistan

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