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

Aziz, Adnan; Umar, Muhammad; Mansha, Muhammad; Khan, Mehwish Shafi; Javed, Muhammad Naveed; Gao, Hailiang; Farhan, Suhaib Bin; Iqbal, Imran; Abdullah, Shaikh

doi:10.1080/19475705.2018.1499558

Cited by 17 publications

(4 citation statements)

References 35 publications

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“…Drought is a complex phenomenon that can have considerable impact on agriculture, society, and ecosystems (Ionita et al 2016;Aziz et al 2018). Drought can be divided broadly into one of four types: (a) meteorological, (b) hydrological, (c) agricultural, and (d) socioeconomic (Kao and Govindaraju 2010).…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of the CHIRPS precipitation dataset and its utility in drought monitoring over Yunnan Province, China

Luo

et al. 2019

Geomatics, Natural Hazards and Risk

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This study evaluated the performance and utility of the Climate Hazard Group InfraRed Precipitation with Stations (CHIRPS) dataset for monitoring drought over Yunnan Province, China. First, several statistical metrics were used to evaluate the CHIRPS data against 122 gauge observations acquired during 1981-2015. Then, the variation of drought was investigated further based on the Standardized Precipitation Index (SPI) over multiple timescales. The results showed the following: (1) the CHIRPS data performed well in terms of monthly precipitation estimation (CC ¼ 0.89, RMSE ¼ 44.26, and MAE ¼ 27.89), albeit with slight overestimation of total precipitation (Bias ¼ 2.9%). Moreover, the CHIRPS data were found adequate in capturing the spatial distribution of precipitation. (2) The CHIRPSbased SPI was shown to be able to capture the occurrence and characteristics of drought events, suggesting that the CHIRPS dataset could be used as an alternative precipitation source for monitoring drought. (3) On the annual scale, it was found that the regions affected most frequently by drought are areas in central, western, and southern parts of Yunnan Province. High frequency of drought occurrence was observed in both spring and winter. Moreover, the results revealed a widespread drying trend over Yunnan Province during 1981-2015, especially in autumn and winter.

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Section: Introductionmentioning

confidence: 99%

Performance evaluation of the CHIRPS precipitation dataset and its utility in drought monitoring over Yunnan Province, China

Luo

et al. 2019

Geomatics, Natural Hazards and Risk

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“…Identifying and understanding the land use dynamics in the study area are essential to minimize evaluation errors as mentioned above. For instance, in our study area that was dominated by pastureland, changes in vegetative vigor might also have been related to drought [ 58 ], use of herbicides [ 59 ], and grazing [ 60 , 61 ]. Therefore, we overlaid the pixels showing the lowest NDVI values of 12 April 2012, with the respective in situ temperatures (measured on January 2012 at 10 cm depth), as shown in Figure 8…”

Section: Resultsmentioning

confidence: 99%

Detection of Geothermal Anomalies in Hydrothermal Systems Using ASTER Data: The Caldeiras da Ribeira Grande Case Study (Azores, Portugal)

Uchôa

Viveiros

Tiengo

et al. 2023

Sensors

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Current-day volcanic activity in the Azores archipelago is characterized by seismic events and secondary manifestations of volcanism. Remote sensing techniques have been widely employed to monitor deformation in volcanic systems, map lava flows, or detect high-temperature gas emissions. However, using satellite imagery, it is still challenging to identify low-magnitude thermal changes in a volcanic system. In 2010, after drilling a well for geothermal exploration on the northern flank of Fogo Volcano on São Miguel Island, a new degassing and thermal area emerged with maximum temperatures of 100 °C. In the present paper, using the ASTER sensor, we observed changes in the near-infrared signals (15 m spatial resolution) six months after the anomaly emerged. In contrast, the thermal signal (90 m spatial resolution) only changed its threshold value one and a half years after the anomaly was recognized. The results show that wavelength and spatial resolution can influence the response time in detecting changes in a system. This paper reiterates the importance of using thermal imaging and high spatial resolution images to monitor and map thermal anomalies in hydrothermal systems such as those found in the Azores.

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“…Agricultural drought is considered one of the most important types of drought across the globe, which affects food security, economy and social stability. Therefore, proper mapping and monitoring of this disaster is the need of the day (Aziz et al, 2018; Johnson & Gleick, 2008; Wilhite & Buchanan‐Smith, 2005). Because of changes in precipitation and rise in temperature, agricultural drought reduces the profitability of harvests (Amin et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Spatio‐temporal risk analysis of agriculture and meteorological droughts in rainfed Potohar, Pakistan, using remote sensing and geospatial techniques

Goheer,

Aftab,

Farah

et al. 2023

Meteorological Applications

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Droughts of various types are considered as a major threat to rainfed agriculture, because agricultural production is dependent on the spatio‐temporal distribution of rainfall. The rainfed regions of Pakistan, such as Potohar, have experienced several instances of drought since 2000. The most drought‐affected staple crop of the region is wheat, which ultimately affects regional food security. In this study, we examine the agricultural and the meteorological droughts in the Potohar region during 2000–2020, to create a drought risk map. This region comprises four districts, namely Attock, Chakwal, Jhelum and Rawalpindi. First, the agricultural and meteorological drought severity maps were created using rainfall data (meteorological data) and vegetation indices for three different periods (i.e., drought year, moderate drought year and normal year). The agricultural drought patterns and intensity were identified and evaluated using the MODIS products MOD09A1 and MOD11A2, while the meteorological droughts were identified using CHRIPS rainfall data. Afterwards, a combined drought risk map was generated by integrating the agricultural and meteorological adrought severity maps using a weighted overlay analysis. This drought risk map showed that Attock and Rawalpindi were expeiencing slight to no drought conditions, whereas the southwestern and central parts of Chakwal showed moderate drought conditions. Similarly, the western parts of Jhelum faced moderate drought conditions. Thus, the combined drought risk map may be a useful guide for decision makers in the local and provincial government. Using this map, they can identify adaptation practices in the drought‐prone areas of this region for enhancing agricultural productivity.

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

Cited by 17 publications

References 35 publications

Performance evaluation of the CHIRPS precipitation dataset and its utility in drought monitoring over Yunnan Province, China

Performance evaluation of the CHIRPS precipitation dataset and its utility in drought monitoring over Yunnan Province, China

Detection of Geothermal Anomalies in Hydrothermal Systems Using ASTER Data: The Caldeiras da Ribeira Grande Case Study (Azores, Portugal)

Spatio‐temporal risk analysis of agriculture and meteorological droughts in rainfed Potohar, Pakistan, using remote sensing and geospatial techniques

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