Performance evaluation of GPM-IMERG early and late rainfall estimates over Lake Hawassa catchment, Rift Valley Basin, Ethiopia

Kawo, Nafyad Serre; Hordofa, Aster Tesfaye; Karuppannan, Shankar

doi:10.1007/s12517-021-06599-1

Cited by 20 publications

(4 citation statements)

References 65 publications

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“…Impact of climate change directly and indirectly on agriculture worldwide (Akram et al, 2018;Hashim et al, 2020;Kawo et al, 2021;Nasim et al, 2018;Sabagh et al, 2020). Climatic and environmental changes negatively influenced the health of the crops with the passage of time in the following ways: variations in the rainfall (Kimuku & Ngigi, 2017), extreme heat stress, change in the land surface temperature (LST), and migration of the peoples from rural to urban areas (Hussain et al, 2020a;Mukherjee & Singh, 2020).…”

Section: Introductionmentioning

confidence: 99%

Land use/land cover changes and their impact on land surface temperature using remote sensing technique in district Khanewal, Punjab Pakistan

Hussain

Karuppannan

2021

Geology, Ecology, and Landscapes

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The aim of this research was to assess the land use/land cover (LULC) changes and its impact on land surface temperature (LST) using remote-sensing (RS) technique in the district Khanewal, Punjab, Pakistan. Data were pre-processed using ERDAS imagine 15 and Arc GIS 10.4 software for layer stacking, mosaicking, and sub-setting of Landsat images. After pre-processing, the supervised classification scheme was applied for the years 1980, 2000, and 2020, which explains the maximum likelihood algorithm to identify LULC changes observed in the study area. "Built-up area" in 1980 occupied 1.75% but in 2020, the build-up area increased (5.27%) compared to 2020. Vegetation area was decreased by 4.12% from 1980 to 2020 in district Khanewal. It was observed that there has been a rapid change in vegetation area to build-up area. The LST values were increased by 0.50°C from 1980 to 2020 due to the increasing build-up area from East to West direction in district Khanewal. Maximum and minimum normalized difference vegetation index (NDVI) values were observed 0.72 and −0.2 for 1980 and 2020. The regression line produced a definitive explanation, showing a strong negative correlation with NDVI and LST. The outcomes of this study indicated that a dramatic transformation took place in district Khanewal regarding a decrease in greenness due to a rapid increase in population density, urban growth, and other infrastructural developments. Thus, these results will be used in regional and urban planning and will be used for managing agriculture in the coming years of rapid environmental changes.

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Section: Introductionmentioning

confidence: 99%

Land use/land cover changes and their impact on land surface temperature using remote sensing technique in district Khanewal, Punjab Pakistan

Hussain

Karuppannan

2021

Geology, Ecology, and Landscapes

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“…During the spring season, the three IMERG runs had the same r values (0.92) and CHIRPS had (0.93) (Figure 5a). A number of previous studies reported the good performance of SPPs at monthly time scales [25,28,41,46,50,[68][69][70]. In general, CHIRPS showed slightly better performance than the other three IMERG runs for monthly and seasonal time scales.…”

Section: Seasonal Rainfall Evaluationmentioning

confidence: 81%

Performance Evaluation and Comparison of Satellite-Derived Rainfall Datasets over the Ziway Lake Basin, Ethiopia

Hordofa

Leta

Alamirew

et al. 2021

Climate

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Consistent time series rainfall datasets are important in performing climate trend analyses and agro-hydrological modeling. However, temporally consistent ground-based and long-term observed rainfall data are usually lacking for such analyses, especially in mountainous and developing countries. In the absence of such data, satellite-derived rainfall products, such as the Climate Hazard Infrared Precipitations with Stations (CHIRPS) and Global Precipitation Measurement Integrated Multi-SatellitE Retrieval (GPM-IMERG) can be used. However, as their performance varies from region to region, it is of interest to evaluate the accuracy of satellite-derived rainfall products at the basin scale using ground-based observations. In this study, we evaluated and demonstrated the performance of the three-run GPM-IMERG (early, late, and final) and CHIRPS rainfall datasets against the ground-based observations over the Ziway Lake Basin in Ethiopia. We performed the analysis at monthly and seasonal time scales from 2000 to 2014, using multiple statistical evaluation criteria and graphical methods. While both GPM-IMERG and CHIRPS showed good agreement with ground-observed rainfall data at monthly and seasonal time scales, the CHIRPS products slightly outperformed the GPM-IMERG products. The study thus concluded that CHIRPS or GPM-IMERG rainfall data can be used as a surrogate in the absence of ground-based observed rainfall data for monthly or seasonal agro-hydrological studies.

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“…Currently, with the world's population growing rapidly and 50% of the global inhabitants choose to settle in the urban [1], hasty urban expansion and rapid financial advancements bring new challenges to global climate change, ecosystem balance, agricultural maintenance and human-land relationship coordination [2,3], urbanization and land use have emerged as key areas for the investigation of human impact on the environment [4]. Such population growth has made urbanization the global trend, which makes the urban structure and human-land ratio in great pressure [5], and the rapid and intensive encroachment of large land resources by build-up, with their destructive spatial expansion patterns, bringing a series of irreversible effects on the ecological system and sustainable socio-economic development [6,7].…”

Section: Introductionmentioning

confidence: 99%

RS and GIS based LULC change and water quality monitoring

Huang¹

2022

HSET

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Suzhou is one of the major cities in Yangtze River Delta, China. In recent years, severe urbanization has led to serious human-land conflicts between economic development and ecological environment and arable land occupation in Suzhou. Based on GIS and RS technology, this research investigates the composition and changes of the land structure of the LULC in Suzhou at the spatial and temporal scales between 1991 and 2021, and NDTI water quality measures are used to keep track of the turbidity of the water in Taihu Lake and the watersheds surrounding. The results show that the expansion of urban area in the LULC of Suzhou has been mainly at the expense of the reduction of agricultural land, while the urbanization process has slowed down and the ecological environment has been restored to some extent in the last decade due to the government's attention. This study analyzes the changes in LULC in Suzhou over a long-time span and provides decision support for the government's future rational use of land resources and urban planning and management, as well as solutions for maintaining sustainable urban development and ecological balance.

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Performance evaluation of GPM-IMERG early and late rainfall estimates over Lake Hawassa catchment, Rift Valley Basin, Ethiopia

Cited by 20 publications

References 65 publications

Land use/land cover changes and their impact on land surface temperature using remote sensing technique in district Khanewal, Punjab Pakistan

Land use/land cover changes and their impact on land surface temperature using remote sensing technique in district Khanewal, Punjab Pakistan

Performance Evaluation and Comparison of Satellite-Derived Rainfall Datasets over the Ziway Lake Basin, Ethiopia

RS and GIS based LULC change and water quality monitoring

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