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  1. Article ; Online: Understanding spatial patterns in the drivers of greenness trends in the Sahel-Sudano-Guinean region

    Min Jiang / Li Jia / Massimo Menenti / Yelong Zeng

    Big Earth Data, Vol 7, Iss 2, Pp 298-

    2023  Volume 317

    Abstract: ABSTRACT The region-wide spatial pattern of the drivers of vegetation trends in the African Sahel-Sudano-Guinean region, one of the main drylands of the world, has not been fully investigated. Time-series satellite earth observation datasets were used to ...

    Abstract ABSTRACT The region-wide spatial pattern of the drivers of vegetation trends in the African Sahel-Sudano-Guinean region, one of the main drylands of the world, has not been fully investigated. Time-series satellite earth observation datasets were used to investigate spatiotemporal patterns of the vegetation greenness changes in the region and then a principal component regression method was applied to identify the region-wide spatial pattern of driving factors. Results find that vegetation greening is widespread in the region, while vegetation browning is more clustered in central West Africa. The dominant drivers of vegetation greenness have a distinct spatial pattern. Climatic factors are the primary drivers, but the impacts of precipitation decrease from north to south, while the impacts of temperature are contrariwise. Coupled with climatic drivers, land cover changes lead to greening trends in the arid zone, especially in the western Sahelian belt. However, the cluster of browning trends in central West Africa can primarily be attributed to the human-induced land cover changes, including an increasing fractional abundance of agriculture. The results highlight the spatial pattern of climatic and anthropic factors driving vegetation greenness changes, which helps natural resources sustainable use and mitigation of climate change and human activities in global dryland ecosystems.
    Keywords Vegetation greenness ; driving factors ; Sahel-Sudano-Guinean ; principal component regression ; Geography. Anthropology. Recreation ; G ; Geology ; QE1-996.5
    Subject code 910 ; 550
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Taylor & Francis Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Land–Atmosphere Interactions and Effects on the Climate of the Tibetan Plateau and Surrounding Regions II

    Yaoming Ma / Lei Zhong / Li Jia / Massimo Menenti

    Remote Sensing, Vol 15, Iss 4540, p

    2023  Volume 4540

    Abstract: As the world’s highest and largest plateau, the Tibetan Plateau (TP) is referred to as ‘the Asian Water Tower’ and ‘the Third Pole of the World’ [.] ...

    Abstract As the world’s highest and largest plateau, the Tibetan Plateau (TP) is referred to as ‘the Asian Water Tower’ and ‘the Third Pole of the World’ [.]
    Keywords n/a ; Science ; Q
    Language English
    Publishing date 2023-09-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Is the Potential for Multi-Functional Use of Industrial Hemp Greater than Maize under Saline Conditions?

    Anna Tedeschi / Domenico Cerrato / Massimo Menenti

    Sustainability, Vol 14, Iss 15646, p

    2022  Volume 15646

    Abstract: There is a new and growing interest in using hemp as a raw material for a wide portfolio of food and non-food products. This study provides a synthesis of such information on the basis of literature and experimental data. For comparison, similar ... ...

    Abstract There is a new and growing interest in using hemp as a raw material for a wide portfolio of food and non-food products. This study provides a synthesis of such information on the basis of literature and experimental data. For comparison, similar information on maize is provided. To document multiple uses of both crops, a list of products was compiled and the fraction of the total dry biomass of each plant part used for each product was estimated. A field experiment was carried out on the response of hemp and maize to irrigation scheduling and to the quality of irrigation water. Both literature and our experiment show that water and salinity stress reduce the total dry biomass, but do not modify substantially the relative availability for the intended marketable products. The field experiment did show that total biomass declined as salinity increased for both crops, but the partition in different fractions did not change significantly with the increase in salinity for all plant fractions and both crops. The market value of the observed, reduced, yield of maize and hemp was estimated. The experimental findings suggest that widespread use of hemp would lead to a more resilient and sustainable agri-food system, although regulatory and medium enterprise policies should be adapted to bring about this development.
    Keywords hemp ; multipurpose ; sustainability ; salinity ; market value ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
    Subject code 333
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Global soil moisture data fusion by Triple Collocation Analysis from 2011 to 2018

    Qiuxia Xie / Li Jia / Massimo Menenti / Guangcheng Hu

    Scientific Data, Vol 9, Iss 1, Pp 1-

    2022  Volume 19

    Abstract: Measurement(s) surface soil moisture Technology Type(s) microwave satellite imaging Sample Characteristic - Environment planetary surface Sample Characteristic - Location ... ...

    Abstract Measurement(s) surface soil moisture Technology Type(s) microwave satellite imaging Sample Characteristic - Environment planetary surface Sample Characteristic - Location Global
    Keywords Science ; Q
    Language English
    Publishing date 2022-11-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Consistent nighttime light time series in 1992 – 2020 in Northern Africa by combining DMSP-OLS and NPP-VIIRS data

    Xiaotian Yuan / Li Jia / Massimo Menenti / Min Jiang

    Big Earth Data, Vol 0, Iss 0, Pp 1-

    2022  Volume 30

    Abstract: Human activities modulate the impact of environmental forcing in general and of climate in particular. Information on the spatial and temporal patterns of human activities is in high demand, but scarce in sparsely populated and data-poor regions such as ... ...

    Abstract Human activities modulate the impact of environmental forcing in general and of climate in particular. Information on the spatial and temporal patterns of human activities is in high demand, but scarce in sparsely populated and data-poor regions such as Northern Africa. The intensity and spatial distribution of nighttime lights provide useful information on human activities and can be observed by space-borne imaging radiometers. Our study helps to bridge the gap between the DMSP – OLS data available until 2013 and the NPP – VIIRS data available since 2013. The approach to calibrate the OLS data includes three steps: a) inter-calibrate the OLS DN data acquired by different sensors in 1992–2013; b) calibrate the OLS DN data using VIIRS data in 2013; c) generate synthetic OLS radiance data by degrading the VIIRS data in 2013–2020. We generated a) a time series of calibrated OLS nighttime light radiance data (1992–2013); b) mean annual VIIRS radiance on stable lights at the OLS spatial resolution for 2013–2020; c) synthetic OLS radiance data generated using VIIRS radiance data degraded to match the radiometric specifications of OLS for 2013–2020. The evaluation of these data products in 2013 documented their accuracy and consistency.
    Keywords nighttime light time series ; dmsp-ols and npp-viirs ; median calibration model ; human activity ; northern equatorial africa and the sahel ; Geography. Anthropology. Recreation ; G ; Geology ; QE1-996.5
    Subject code 550
    Language English
    Publishing date 2022-02-01T00:00:00Z
    Publisher Taylor & Francis Group
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Interannual and Seasonal Variability of Glacier Surface Velocity in the Parlung Zangbo Basin, Tibetan Plateau

    Jing Zhang / Li Jia / Massimo Menenti / Shaoting Ren

    Remote Sensing, Vol 13, Iss 80, p

    2021  Volume 80

    Abstract: Monitoring glacier flow is vital to understand the response of mountain glaciers to environmental forcing in the context of global climate change. Seasonal and interannual variability of surface velocity in the temperate glaciers of the Parlung Zangbo ... ...

    Abstract Monitoring glacier flow is vital to understand the response of mountain glaciers to environmental forcing in the context of global climate change. Seasonal and interannual variability of surface velocity in the temperate glaciers of the Parlung Zangbo Basin (PZB) has attracted significant attention. Detailed patterns in glacier surface velocity and its seasonal variability in the PZB are still uncertain, however. We utilized Landsat-8 (L8) OLI data to investigate in detail the variability of glacier velocity in the PZB by applying the normalized image cross-correlation method. On the basis of satellite images acquired from 2013 to 2020, we present a map of time-averaged glacier surface velocity and examined four typical glaciers (Yanong, Parlung No.4, Xueyougu, and Azha) in the PZB. Next, we explored the driving factors of surface velocity and of its variability. The results show that the glacier centerline velocity increased slightly in 2017–2020. The analysis of meteorological data at two weather stations on the outskirts of the glacier area provided some indications of increased precipitation during winter-spring. Such increase likely had an impact on ice mass accumulation in the up-stream portion of the glacier. The accumulated ice mass could have caused seasonal velocity changes in response to mass imbalance during 2017–2020. Besides, there was a clear winter-spring speedup of 40% in the upper glacier region, while a summer speedup occurred at the glacier tongue. The seasonal and interannual velocity variability was captured by the transverse velocity profiles in the four selected glaciers. The observed spatial pattern and seasonal variability in glacier surface velocity suggests that the winter-spring snow might be a driver of glacier flow in the central and upper portions of glaciers. Furthermore, the variations in glacier surface velocity are likely related to topographic setting and basal slip caused by the percolation of rainfall. The findings on glacier velocity suggest that the transfer of ...
    Keywords Parlung Zangbo Basin ; glacier velocity ; spatial-temporal variations ; motion mechanism ; Science ; Q
    Subject code 551
    Language English
    Publishing date 2021-12-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Optimal Estimate of Global Biome—Specific Parameter Settings to Reconstruct NDVI Time Series with the Harmonic ANalysis of Time Series (HANTS) Method

    Jie Zhou / Li Jia / Massimo Menenti / Xuan Liu

    Remote Sensing, Vol 13, Iss 4251, p

    2021  Volume 4251

    Abstract: Terrestrial remote sensing data products retrieved from radiometric measurements in the optical and thermal infrared spectrum such as vegetation spectral indices can be heavily contaminated by atmospheric conditions, including cloud and aerosol layers. ... ...

    Abstract Terrestrial remote sensing data products retrieved from radiometric measurements in the optical and thermal infrared spectrum such as vegetation spectral indices can be heavily contaminated by atmospheric conditions, including cloud and aerosol layers. This contamination results in gaps or noisy observations. The harmonic analysis of time series (HANTS) has been widely used for time series reconstruction of remote sensing imagery in recent decades. To use HANTS model, a series of parameters, such as number of frequencies (NF), fitting error tolerance (FET), degree of over-determinedness (DoD), and regularization factor (Delta), need to be defined by users. These parameters provide flexibilities, but also make it difficult for non-expert users to determine appropriate settings for specific applications. This study systematically evaluated the reconstruction performance of the model under different parameter setting scenarios by simulating pixel-wise reference and noisy NDVI time series. The results of these numerical experiments were further used to identify optimal settings and improve global NDVI reconstruction performance. The results suggested optimal settings for different areas (local optimization). If a user opts to use unique settings for global reconstruction, the setting NF = 4, FET = 0.05, DoD = 5, and Delta = 0.5 can produce the best performance across all setting scenarios (global optimization). In addition, several internal improvements, such as dynamic weighting scheme, polynomial and inter-annual harmonic components, and ancillary attributes of input data can be used to further improve the performance of reconstruction. With these results, future non-expert users can easily determine appropriate settings of HANTS for specific applications in different regions.
    Keywords NDVI ; HANTS ; harmonic analysis ; gap-filling ; time series ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2021-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Evaluation of Global Land Use–Land Cover Data Products in Guangxi, China

    Xuan Hao / Yubao Qiu / Guoqiang Jia / Massimo Menenti / Jiangming Ma / Zhengxin Jiang

    Remote Sensing, Vol 15, Iss 1291, p

    2023  Volume 1291

    Abstract: Land use–land cover (LULC) is an important feature for ecological environment research, land resource management and evaluation. Although global high-resolution LULC data sets are booming, their regional performances were still evaluated in limited ... ...

    Abstract Land use–land cover (LULC) is an important feature for ecological environment research, land resource management and evaluation. Although global high-resolution LULC data sets are booming, their regional performances were still evaluated in limited regions. To demonstrate the local applicability of global LULC data products, six emerging LULC data products were evaluated and compared in Guangxi, China. The six products used are European Space Agency GlobCover (ESAGC), ESRI Land Use–Land Cover (ESRI–LULC), Finer Resolution Observation and Monitoring of Global Land Cover (FROM–GLC), the China Land Cover Dataset (CLCD), the Global Land Cover product with Fine Classification System at 30 m (GLC_FCS30) and GlobeLand30 (GLC30). Reference data were obtained from the local government statistical yearbook and high-resolution remote sensing images on Google Earth. The results showed that CLCD, ESRI–LULC and GLC30 were found to agree well with the forest reference data, with the highest correlation coefficient of 0.999. For the cropland areas, GLC30, CLCD and ESAGC agreed well with the reference data, and the highest correlation coefficient was 0.957. Combined with the comparison with the high-resolution images obtained by Google Earth, we finally concluded that ESAGC, CLCD and GLC30 can best represent the LULCs in Guangxi. Furthermore, the spatial consistency analysis showed that three or more products identified the same LULC type as high as 96.98% of the area. We suggest that majority voting might be applied to global LULC products to provide fused products with better performances on a regional or local scale to avoid the error caused by a single data product.
    Keywords land use–land cover ; data inter-comparison ; spatial consistency analysis ; fusion ; forest and cropland ; Science ; Q
    Subject code 910
    Language English
    Publishing date 2023-02-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Evaluation of SAR and Optical Data for Flood Delineation Using Supervised and Unsupervised Classification

    Fatemeh Foroughnia / Silvia Maria Alfieri / Massimo Menenti / Roderik Lindenbergh

    Remote Sensing, Vol 14, Iss 15, p

    2022  Volume 3718

    Abstract: Precise and accurate delineation of flooding areas with synthetic aperture radar (SAR) and multi-spectral (MS) data is challenging because flooded areas are inherently heterogeneous as emergent vegetation (EV) and turbid water (TW) are common. We ... ...

    Abstract Precise and accurate delineation of flooding areas with synthetic aperture radar (SAR) and multi-spectral (MS) data is challenging because flooded areas are inherently heterogeneous as emergent vegetation (EV) and turbid water (TW) are common. We addressed these challenges by developing and applying a new stepwise sequence of unsupervised and supervised classification methods using both SAR and MS data. The MS and SAR signatures of land and water targets in the study area were evaluated prior to the classification to identify the land and water classes that could be delineated. The delineation based on a simple thresholding method provided a satisfactory estimate of the total flooded area but did not perform well on heterogeneous surface water. To deal with the heterogeneity and fragmentation of water patches, a new unsupervised classification approach based on a combination of thresholding and segmentation (CThS) was developed. Since sandy areas and emergent vegetation could not be classified by the SAR-based unsupervised methods, supervised random forest (RF) classification was applied to a time series of SAR and co-event MS data, both combined and separated. The new stepwise approach was tested for determining the flood extent of two events in Italy. The results showed that all the classification methods applied to MS data outperformed the ones applied to SAR data. Although the supervised RF classification may lead to better accuracies, the CThS (unsupervised) method achieved precision and accuracy comparable to the RF, making it more appropriate for rapid flood mapping due to its ease of implementation.
    Keywords SAR ; optical ; flood mapping ; random forest ; Otsu thresholding ; unsupervised classification ; Science ; Q
    Subject code 333
    Language English
    Publishing date 2022-08-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Seasonal Cooling Effect of Vegetation and Albedo Applied to the LCZ Classification of Three Chinese Megacities

    Yifan Luo / Jinxin Yang / Qian Shi / Yong Xu / Massimo Menenti / Man Sing Wong

    Remote Sensing, Vol 15, Iss 23, p

    2023  Volume 5478

    Abstract: The urban heat island effect poses a growing threat to human society, especially in densely populated and developed megacities. With the introduction of the Local Climate Zones (LCZ) framework, new perspectives and findings have been brought to urban ... ...

    Abstract The urban heat island effect poses a growing threat to human society, especially in densely populated and developed megacities. With the introduction of the Local Climate Zones (LCZ) framework, new perspectives and findings have been brought to urban heat island studies. This study investigated the cooling effect of vegetation and albedo on the surface urban heat island (SUHI) in the classification system of LCZ during different seasons, using three Chinese megacities as case study areas. Single-factor linear regression and Pearson’s correlation coefficient were applied to analyze the seasonal cooling effect of both albedo and the NDVI on the SUHI within different LCZs. The results show that (1) the variability of the SUHI is reflected in its dominance and intensity within certain LCZs in different cities and in the efficiency of cooling factors; (2) the cooling effect of vegetation is dominant in each season, and the cooling effect produced by albedo within specific seasons can be differentiated by LCZs. This study provides valuable information for the mitigation of the SUHI magnitude in specific regions and at specific times of the year.
    Keywords local climate zone ; urban heat island ; albedo ; vegetation ; heat mitigation ; Science ; Q
    Subject code 910
    Language English
    Publishing date 2023-11-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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