Alexander V. Prishchepov

University of Copenhagen

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i-10 index

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Tobias Kuemmerle

Humboldt-Universität zu Berlin

Daniel Müller

Leibniz Institute of Agricultural Development in Transition Economies

Volker C. Radeloff

University of Wisconsin–Madison

Rasmus Fensholt

University of Copenhagen

Jinchao Song

University of Southern Denmark

Matthias Baumann

Humboldt-Universität zu Berlin

Florian Schierhorn

Leibniz Institute of Agricultural Development in Transition Economies

Tzu‐Hsin Karen Chen

Yale University

Patrick Hostert

Humboldt-Universität zu Berlin

Martin Brandt

University of Copenhagen

Cooperative Institutions

Chinese Academy of Sciences

University of Copenhagen

University of Wisconsin–Madison

Humboldt-Universität zu Berlin

University of Chinese Academy of Sciences

Ministry of Natural Resources

Xinjiang Institute of Ecology and Geography

Nanjing Agricultural University

Russian Academy of Sciences

International Institute for Applied Systems Analysis

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Mapping spatio-temporal patterns and detecting the factors of traffic congestion with multi-source data fusion and mining techniques

Computers Environment and Urban Systems (2019)

Jinchao Song Chunli Zhao Shaopeng Zhong Thomas Alexander Sick Nielsen Alexander V. Prishchepov

10.1016/j.compenvurbsys.2019.101364

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Citations (69)

Annual Landsat time series reveal post-Soviet changes in grazing pressure

Remote Sensing of Environment (2020)

Andrey Dara Matthias Baumann Martin Freitag Norbert Hölzel Patrick Hostert

Grazing pressure

Conservation grazing

Steppe

10.1016/j.rse.2020.111667

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Citations (74)

Mapping the spatial and temporal patterns of fallow land in mountainous regions of China

International Journal of Digital Earth (2022)

Wen Song Alexander V. Prishchepov Wei Song

The rapid growth of the global population has resulted in a continuous increase in cropland intensity and a shortening of the fallow period as part of the cropland rotation cycle. Yet, there is a lack of systematic knowledge on the extent of fallow lands, particularly in complex landscapes, such as the mountainous regions of China. To fill this knowledge gap, taking Yuanyang County (YYC), Yunnan Province, China, as a case study, we tested a method to identify the spatial-temporal distribution of fallow land by mapping cropland with Landsat data. The overall accuracy of land cover classification, including cropland, ranged between 90.1% and 95.8% from 1998 to 2019. The average accuracy of fallow plots was 75.7% from 2001 to 2019. The annual fallow rate varied between 8.3% and 54.3%, with an average of 20.7%. Kernel density estimated with the probability density function showed that fallow varied between 5 and 13 blocks per km2, gradually decreasing from the central area to the periphery. Increasing elevation, the low value of regional domestic products, and the increased distance to rural settlements were closely related to the higher proportions of fallow land. The approach presented here can be applied to map fallow land in other regions.

Land Cover

Elevation (ballistics)

Summer fallow

10.1080/17538947.2022.2148765

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Citations (6)

Detecting and monitoring long-term landslides in urbanized areas with nighttime light data and multi-seasonal Landsat imagery across Taiwan from 1998 to 2017

Remote Sensing of Environment (2019)

Tzu‐Hsin Karen Chen Alexander V. Prishchepov Rasmus Fensholt Clive E. Sabel

Natural hazard

10.1016/j.rse.2019.03.013

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Citations (81)

Landsat-based mapping of post-Soviet land-use change to assess the effectiveness of the Oksky and Mordovsky protected areas in European Russia

Remote Sensing of Environment (2013)

Anika Sieber Tobias Kuemmerle Alexander V. Prishchepov Kelly J. Wendland Matthias Baumann

Land Cover

Agricultural land

10.1016/j.rse.2013.01.021

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Citations (74)

Monitoring finer-scale population density in urban functional zones: A remote sensing data fusion approach

Landscape and Urban Planning (2019)

Jinchao Song Xiaoye Tong Lizhe Wang Chunli Zhao Alexander V. Prishchepov

Population density

10.1016/j.landurbplan.2019.05.011

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Citations (74)

Recultivation of abandoned agricultural lands in Ukraine: Patterns and drivers

Global Environmental Change (2016)

Аnatoliy Smaliychuk Daniel Müller Alexander V. Prishchepov Christian Levers Ivan Kruhlov

Agricultural land

Abandonment (legal)

Arable land

Human settlement

Common Agricultural Policy

10.1016/j.gloenvcha.2016.02.009

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Citations (96)

Revealing the intentions of farmers to recultivate abandoned farmland: A case study of the Buryat Republic in Russia

Land Use Policy (2021)

Alexander V. Prishchepov Elena Ponkina Zhanli Sun Miroslava Bavorová Olga Afanasyevna Yekimovskaja

10.1016/j.landusepol.2021.105513

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Citations (29)

Are night-time lights a good proxy of economic activity in rural areas in middle and low-income countries? Examining the empirical evidence from Colombia

Remote Sensing Applications Society and Environment (2021)

Xaquín Pérez-Sindín Tzu‐Hsin Karen Chen Alexander V. Prishchepov

The use of satellite imagery, particularly night-time lights, has flourished in the last 20 years for socioeconomic studies. The intensity of the lights captured through remote sensing is frequently used as a proxy of different socioeconomic indicators. While some studies found a high correlation between night-time lights intensity and Gross Domestic Product, there has been an inconclusive debate about the validity of this assumption that night-time lights can serve as a good proxy for the economic development to sub-national level studies, particularly in rural areas of middle and lowincome countries. We test the suitability of night-time lights from publicly available data sources for estimating Regional Domestic Product (RDP) across municipalities with different degrees of urbanization in Colombia. We use a series of cross-sectional regression models to compare correlation between municipality RDP and luminosity from different sources for 2012 (DMSP, VIIRS, harmonized DMSP/VIIRS, and harmonized DMSP/VIIRS masked with Global Urban Footprint), as well as multilevel regression models to estimate RDP time-series from 2011 to 2018. Our findings reveal that all compared night-time light products can serve as a good indicator of municipal RDP patterns, while VIIRS data presents the best model fit. Harmonized data that have extensive temporal night-time light records from 2011 to 2018 were significantly correlated with RDP time-series. For seven population size levels – from big cities (>500,000 inhabitants) to rural areas (<5,000 inhabitants), the results present a comparatively higher model fit for urban than rural areas. The use of Global Urban Footprint further improved model fit for large cities but worsened rural RDP estimates. Therefore, our analysis underscores that the use of night-time lights can be a very valuable method to estimate patterns of socioeconomic change at the municipal level in medium and low-income countries and thus may help to implement better sustainability-oriented policies.

Proxy (statistics)

10.1016/j.rsase.2021.100647

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Citations (45)

Post‐Soviet cropland abandonment and carbon sequestration in European Russia, Ukraine, and Belarus

Global Biogeochemical Cycles (2013)

Florian Schierhorn Daniel Müller Tim Beringer Alexander V. Prishchepov Tobias Kuemmerle

Widespread cropland abandonment occurred after the collapse of socialism across the former Soviet Union, but the rates and spatial patterns of abandoned lands are not well known. As a result, the potential of this region to contribute to global food production and estimates of the carbon sink developing on currently idle lands are highly uncertain. We developed a spatial allocation model that distributes yearly and subnational sown area statistics to the most agriculturally suitable plots. This approach resulted in new, high‐resolution (1 km 2 ) annual time series of cropland and abandoned lands in European Russia, Ukraine, and Belarus from 1990 to 2009. A quantitative validation of the cropland map confirms the reliability of this data set, especially for the most important agricultural areas of the study region. Overall, we found a total of 87 Mha of cropland and 31 Mha of abandoned cropland in European Russia, Ukraine, and Belarus combined, suggesting that abandonment has been severely underestimated in the past. The abandonment rates were highest in European Russia. Feeding our new map data set into the dynamic vegetation model LPJmL revealed that cropland abandonment resulted in a net carbon sink of 470 TgC for 1990 to 2009. Carbon sequestration was generally slow in the early years after abandonment, but carbon uptake increased significantly after approximately 10 years. Recultivation of older abandoned lands would be associated with high carbon emissions and lead to substantial amounts of carbon not being sequestered in vegetation formations currently developing on idle croplands. Our spatially and temporally explicit cropland abandonment data improve the estimation of trade‐offs involved in reclaiming abandoned croplands and thus in increasing agricultural production in this globally important agricultural region.

Abandonment (legal)

Carbon sink

Sink (geography)

Idle

10.1002/2013gb004654

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Citations (199)