Early warning and drought risk assessment for the Bolivian Altiplano agriculture using high resolution satellite imagery data

Rosso, Claudia Canedo; Hochrainer‐Stigler, Stefan; Pflug, Georg Ch.; Condori, Bruno; Berndtsson, Ronny

doi:10.5194/nhess-2018-133

Cited by 11 publications

(9 citation statements)

References 22 publications

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“…The integration of remotely sensed data with climate datasets, e.g., Climate Engine powered with Google Earth, has provided a very valuable spatial dataset to researchers and provided a convenient platform to further reprocess and extract useful spatial information at convenient scales. Indicators such as the SPI and NDVI can generate the best correlation-anticipation relationships for early signs of drought impacts and drought monitoring purposes, such as identifying hot spots at local scales [14,15].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Analysis of Vegetation Dynamics as a Response to Climate Variability and Drought Patterns in the Semiarid Region, Eritrea

et al. 2019

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There is a growing concern over change in vegetation dynamics and drought patterns with the increasing climate variability and warming trends in Africa, particularly in the semiarid regions of East Africa. Here, several geospatial techniques and datasets were used to analyze the spatio-temporal vegetation dynamics in response to climate (precipitation and temperature) and drought in Eritrea from 2000 to 2017. A pixel-based trend analysis was performed, and a Pearson correlation coefficient was computed between vegetation indices and climate variables. In addition, vegetation condition index (VCI) and standard precipitation index (SPI) classifications were used to assess drought patterns in the country. The results demonstrated that there was a decreasing NDVI (Normalized Difference Vegetation Index) slope at both annual and seasonal time scales. In the study area, 57.1% of the pixels showed a decreasing annual NDVI trend, while the significance was higher in South-Western Eritrea. In most of the agro-ecological zones, the shrublands and croplands showed decreasing NDVI trends. About 87.16% of the study area had a positive correlation between growing season NDVI and precipitation (39.34%, p < 0.05). The Gash Barka region of the country showed the strongest and most significant correlations between NDVI and precipitation values. The specific drought assessments based on VCI and SPI summarized that Eritrea had been exposed to recurrent droughts of moderate to extreme conditions during the last 18 years. Based on the correlation analysis and drought patterns, this study confirms that low precipitation was mainly attributed to the slowly declining vegetation trends and increased drought conditions in the semi-arid region. Therefore, immediate action is needed to minimize the negative impact of climate variability and increasing aridity in vegetation and ecosystem services.

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Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Analysis of Vegetation Dynamics as a Response to Climate Variability and Drought Patterns in the Semiarid Region, Eritrea

et al. 2019

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“…Currently, the accuracy of rainfall estimates is very import for the expansion and maintenance of the agricultural frontier, water security of LTb communities, and to reduce natural desasters directly related to droughts and floods [1,34,56,59]. In this study, our objective was to evaluate CMORPH rainfall estimates over Lake Titicaca basin.…”

Section: Discussionmentioning

confidence: 99%

“…3, 5 and 7). This results suggest that, DCC main pattern is regulated by surface exchange processes over heteogeneous topography, valley breezes 12 and slope who play a important role on convective and orographyc processes near to the mountains [56][57][58]. The diurnal cycle configuration over Titicaca lake and its surroundings can may result by local circulation influenced for the surface energy balance (SEB) and the complex terrain.…”

Section: Diurnal Cycle Of Convection Using Cmorph Datamentioning

confidence: 90%

Diurnal Cycle of Convection over Lake Titicaca Basin Based on the Satellite Data from the Climate Prediction Center Morphing (CMORPH)

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2020

Preprint

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This paper examines the diurnal cycle of convection (DCC) over Lake Titicaca Basin (LTb) during summertime months based on the high spatial resolution (8 x 8 km2) and hourly temporal resolution, estimates of Climate Prediction Center Morphing technique (CMORPH). Analysis was performed using observed data from rain gauges (Rg-SENAMHI) for the period 2002 to 2013. Graphical comparisons and several statistical metrics such as correlation coefficient, bias, and root mean square error were used to evaluate CMORPH product. Spatial maps and graphic metrics of diurnal cycle were developed to assess CMORPH data, spatial dependency an accuracy over the LTb. Approximately, 43% of the total Rg-SENAMHI variation is explained CMORPH data. The correlation between Rg-SENAMHI and CMORPH is positively over southeast and northern LTb, and negatively in the central and southern LTb. A underestimation bias is observed over most the LTb areas and overestimation bias (e.g., Lagunillas, Isla Suana and Desaguadero stations). In general, spatial patterns of rainfall over the LTb were captured through CMORPH data. Over the surrounding lake area, high mountain, and plateau area, maximum peaks of precipitation occur in the early evening, neverhtheless over low areas such as the lake, surrounding and valleys, maximum precipitation values occur early morning. The results show that DCC its very related by surface exchange processes and local circulation resulting from solar radiation and heterogeneous topography.

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“…CHIRPS is a global rainfall dataset at 0.05 arc degree resolution, derived from satellite and in-situ precipitation measurements, developed by the U.S. Geological Survey (USGS) and the Climate Hazards Group [58]. CHIRPS precipitation data were successfully validated in areas adjacent to the DP system [69,70]. Here, monthly accumulated precipitation from each on-site meteorological station was compared to the one provided by its corresponding CHIRPS pixel.…”

Section: Precipitation Datamentioning

confidence: 99%

Mapping Evapotranspiration, Vegetation and Precipitation Trends in the Catchment of the Shrinking Lake Poopó

2019

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Lake Poopó is located in the Andean Mountain Range Plateau or Altiplano. A general decline in the lake water level has been observed in the last two decades, coinciding roughly with an intensification of agriculture exploitation, such as quinoa crops. Several factors have been linked with the shrinkage of the lake, including climate change, increased irrigation, mining extraction and population growth. Being an endorheic catchment, evapotranspiration (ET) losses are expected to be the main water output mechanism and previous studies demonstrated ET increases using Earth observation (EO) data. In this study, we seek to build upon these earlier findings by analyzing an ET time series dataset of higher spatial and temporal resolution, in conjunction with land cover and precipitation data. More specifically, we performed a spatio-temporal analysis, focusing on wet and dry periods, that showed that ET changes occur primarily in the wet period, while the dry period is approximately stationary. An analysis of vegetation trends performed using 500 MODIS vegetation index products (NDVI) also showed an overall increasing trend during the wet period. Analysis of NDVI and ET across land cover types showed that only croplands had experienced an increase in NDVI and ET losses, while natural covers showed either constant or decreasing NDVI trends together with increases in ET. The larger increase in vegetation and ET losses over agricultural regions, strongly suggests that cropping practices exacerbated water losses in these areas. This quantification provides essential information for the sustainable planning of water resources and land uses in the catchment. Finally, we examined the spatio-temporal trends of the precipitation using the newly available Climate Hazards Group Infrared Precipitation with Stations (CHIRPS-v2) product, which we validated with onsite rainfall measurements. When integrated over the entire catchment, precipitation and ET showed an average increasing trend of 5.2 mm yr−1 and 4.3 mm yr−1, respectively. This result suggests that, despite the increased ET losses, the catchment-wide water storage should have been offset by the higher precipitation. However, this result is only applicable to the catchment-wide water balance, and the location of water may have been altered (e.g., by river abstractions or by the creation of impoundments) to the detriment of the Lake Poopó downstream.

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Early warning and drought risk assessment for the Bolivian Altiplano agriculture using high resolution satellite imagery data

Cited by 11 publications

References 22 publications

Spatio-Temporal Analysis of Vegetation Dynamics as a Response to Climate Variability and Drought Patterns in the Semiarid Region, Eritrea

Spatio-Temporal Analysis of Vegetation Dynamics as a Response to Climate Variability and Drought Patterns in the Semiarid Region, Eritrea

Diurnal Cycle of Convection over Lake Titicaca Basin Based on the Satellite Data from the Climate Prediction Center Morphing (CMORPH)

Mapping Evapotranspiration, Vegetation and Precipitation Trends in the Catchment of the Shrinking Lake Poopó

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