Article
Environmental Sciences
Ramandeep Kaur M. Malhi, G. Sandhya Kiran, Mangala N. Shah, Nirav Mistry, Viral H. Bhavsar, Chandra Prakash Singh, Bimal Kumar Bhattarcharya, Philip A. Townsend, Shiv Mohan
Summary: The study focused on generating phenological metrics for teak using MODIS NDVI data, showcasing the shifts in the start, end, and duration of the growing season, and the potential impact on productivity.
Article
Remote Sensing
Wentao Ye, Albert I. J. M. van Dijk, Alfredo Huete, Marta Yebra
Summary: Analyzing the long-term trends in vegetation seasonality derived from the GIMMS NDVI3g record, this study reveals discrepancies between different versions and datasets, emphasizing the impact of processing methods on inferred trends. Overall, the findings suggest that alternative data sources should be utilized to ensure the robustness of seasonality trends.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Environmental Sciences
Zhengjia Liu, Yansui Liu, Jinwei Dong, Muhammad Hasan Ali Baig, Wenfeng Chi, Liuying Peng, Jieyong Wang
Summary: Cropland area and cropping frequency are crucial for regional food production. Urbanization and declining agricultural labor force have changed land use and cropping patterns. Using satellite data, this study found a decrease in cropland area but a stable double-cropping area in the North China Plain. Winter wheat and summer maize rotation showed a significant increase, likely due to land-use and grain subsidy policies.
ENVIRONMENTAL RESEARCH LETTERS
(2022)
Article
Agronomy
Zhongxi Ge, Jing Huang, Xufeng Wang, Yinjun Zhao, Xuguang Tang, Yun Zhou, Peiyu Lai, Binfei Hao, Mingguo Ma
Summary: The study shows that the predictive ability of various models varies with different sensor data and biomes. Recently proposed methods did not perform as expected, with some even performing worse than commonly used approaches. POS modeled from MODIS data performed slightly better than that from SPOT-VGT data. When the models are combined, they can reliably estimate POS for grasslands, deciduous broadleaf forests, and open shrublands, but not necessarily for other biomes.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Nan Jiang, Miaogen Shen, Jin Chen, Wei Yang, Xiaolin Zhu, Xufeng Wang, Josep Penuelas
Summary: Previous studies have shown a significant advance in vegetation green-up (VGD) onset date in the Northern Hemisphere during the 1980s and 1990s. However, later studies based on advanced very high-resolution radiometer (AVHRR) data suggested a hiatus in this trend during the warming period from the late 1990s to early 2010s. There is uncertainty in this finding due to quality issues associated with AVHRR data. Our study, using high-quality Moderate Resolution Imaging Spectroradiometer data, shows that VGD advanced significantly despite the warming hiatus, suggesting caution in inferring climate warming based on spring phenology advances.
NPJ CLIMATE AND ATMOSPHERIC SCIENCE
(2023)
Article
Geography, Physical
Xiaobin Hua, Pascal Sirguey, Ralf Ohlemuller
Summary: The study reveals that three different indigenous grassland types in New Zealand have shown consistent shifts in timing of key growing season stages over the past 16 years, with differences in magnitude of response. High-alpine grasslands exhibit the strongest response, with trends towards an earlier start and end of the growing season, as well as an increase in growing season length. Atmospheric conditions have varied effects on the start and end of the growing season in different seasons.
GISCIENCE & REMOTE SENSING
(2021)
Article
Environmental Sciences
Yanjun Yang, Bo Tao, Liang Liang, Yawen Huang, Chris Matocha, Chad D. Lee, Michael Sama, Bassil El Masri, Wei Ren
Summary: This study utilized NDVI time series to analyze planting and harvesting dates for corn and soybean in Kentucky, finding delays in planting and harvesting dates for both crops, as well as an increase in growing season length for corn and a decrease for soybean. Sensitivity analysis showed planting dates were more affected by early season temperature, while harvesting dates were correlated with temperature throughout the entire growing season. Increased summer precipitation was found to be related to delayed corn harvesting dates in Kentucky. Additionally, delayed corn harvesting dates and extended growing season length were correlated with increased corn yield.
Article
Environmental Sciences
Fathin Ayuni Azizan, Ike Sari Astuti, Mohammad Irvan Aditya, Tri Rapani Febbiyanti, Alwyn Williams, Anthony Young, Ammar Abdul Aziz
Summary: Land surface phenology derived from satellite data provides insights into vegetation responses to climate change. This study in South Sumatra, Indonesia, analysed the influence of climate on rubber growth and found temperature to be a significant factor modulating rubber phenology, while fluctuations in rainfall and temperature can cause changes in the growing season.
Article
Environmental Sciences
Youssef Lebrini, Abdelghani Boudhar, Ahmed Laamrani, Abdelaziz Htitiou, Hayat Lionboui, Adil Salhi, Abdelghani Chehbouni, Tarik Benabdelouahab
Summary: Changing land use patterns is crucial in environmental studies and land use management in arid regions. Sparse ground data can lead to uncertainties in characterizing phenological changes, but remote sensing methods offer a solution. This study in Morocco analyzed farming systems using NDVI time-series data and found significant plant cover dynamics driven by farmers' cultivation behaviors, with variations linked to weather conditions and rainfall patterns.
Article
Multidisciplinary Sciences
Khuong H. Tran, Xiaoyang Zhang, Yongchang Ye, Yu Shen, Shuai Gao, Yuxia Liu, Andrew Richardson
Summary: This study provides a reference dataset of gap-free time series and phenological dates by fusing satellite observations and near-surface PhenoCam time series, which can be used to monitor and validate the vegetation development in 78 ecosystems across North America.
Article
Plant Sciences
Allan Buras, Anja Rammig, Christian S. Zang
Summary: Forest decline due to climate change, particularly hotter droughts, floods, late-frost, and storms, has led to an increase in tree mortality rates globally. Despite numerous studies on predisposing factors for tree mortality, there is still a lack of understanding on underlying eco-physiological mechanisms, the influence of varying environmental conditions, and species-specific strategies to cope with prolonged environmental stress. The introduction of remote-sensing tools like the European Forest Condition monitor (EFCM) provides a promising avenue for studying forest performance within larger networks by assessing tree vitality in near real-time across large regions.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Remote Sensing
Logan M. Purdy, Zihaohan Sang, Elisabeth Beaubien, Andreas Hamann
Summary: Vegetation phenology indices derived from multispectral remote sensing data can be used to estimate primary productivity, track climate change impacts, and predict fire seasons. However, accuracy may be compromised by snow and water effects, different vegetation types, and parameter choices. This study compares remotely sensed green-up dates with ground observations and finds that MCD12Q2-EVI2 has the highest precision and least bias, representing a significant improvement over previous phenology products.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2023)
Article
Multidisciplinary Sciences
Dongliang Fan
Summary: This study compares the relationship between different NDVI and found that there is a significant correlation between NDVI of AVHRR and NDVI of MODIS, and between NDVI of VIRR and NDVI of AVHRR. The relationship between the three is NDVI of VIRR < NDVI of AVHRR < NDVI of MODIS. Machine learning, as an important method in artificial intelligence, is used to construct the Fengyun Satellite NDVI correction method. By using linear regression algorithm, the NDVI value of Fengyun Satellite VIRR is corrected to a level similar to NDVI of MODIS, significantly improving accuracy and product quality.
SCIENTIFIC REPORTS
(2023)
Article
Environmental Sciences
Jinting Guo, Yuanman Hu
Summary: The study revealed that in northeast China, vegetation growing season slightly started earlier, ended significantly later, and the length of growing season extended significantly. Different vegetation types responded differently to climate change, impacting the total length of the growing season.
Article
Environmental Sciences
Zhimin Ma, Chunyu Dong, Kairong Lin, Yu Yan, Jianfeng Luo, Dingshen Jiang, Xiaohong Chen
Summary: By developing a simple and new data downscaling approach, we successfully created a high-resolution NDVI database on a global scale for monitoring the changes in vegetation ecosystems. Evaluation of the downscaled data showed similarities to the MODIS NDVI product in terms of accuracy. We also utilized the downscaled data to monitor NDVI changes in different plant types and locations with vegetation heterogeneity, as well as to study global vegetation trends over the past four decades.
Article
Agronomy
Aniko Kern, Hrvoje Marjanovic, Gyorgy Csoka, Norbert Moricz, Milan Pernek, Aniko Hirka, Dinka Matosevic, Marton Paulin, Goran Kovac
Summary: The oak lace bug is an invasive sap-sucking species in European oak forests, first recorded in Central Europe in 2013, spreading rapidly with no signs of receding. Novel methods using MODIS NDVI data were developed to detect and assess the impact of the oak lace bug in Hungary and Croatia, showing high detection agreement and identifying the speed of radial spread.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Environmental Sciences
Reka Agnes David, Zoltan Barcza, Aniko Kern, Erzsebet Kristof, Roland Hollos, Anna Kis, Martin Lukac, Nandor Fodor
Summary: This study focused on modeling and comparing the effects of different meteorological datasets on the onset of spring leaf growth in Central Europe. The results suggest that the choice of model structure has the greatest impact on simulating the timing of leaf onset, with the choice of meteorological dataset having a secondary effect.
Article
Environmental Sciences
Erzsebet Kristof, Roland Hollos, Zoltan Barcza, Rita Pongracz, Judit Bartholy
Summary: The evaluation of general circulation models (GCMs) using a statistical method reveals that while most GCMs are able to replicate prominent teleconnections over the Northern Hemisphere, they fail to capture the eastward shift of action centers (ACs) over the Pacific Ocean in the last decades of the 20th century. The proposed method allows for tracking changes in the geographical positions of ACs and detecting improvements or deteriorations in GCM performance over time.
Article
Green & Sustainable Science & Technology
Agota Horel, Tibor Zsigmond, Csilla Farkas, Gyorgyi Gelybo, Eszter Toth, Aniko Kern, Zsofia Bakacsi
Summary: Land use and management have significant impacts on soil hydrological processes, which can be further intensified by climate change. This study analyzed the long-term effects of different land use types on soil hydrological processes based on future climate scenarios. The results showed that changes in precipitation have a greater influence on soil water content than changes in air temperature. Cropland is at the highest risk of excess water and soil water content above field capacity, while vineyards are the most vulnerable to projected climate change in the area. This study emphasizes the limitations of potential land use changes in specific agricultural areas and stresses the importance of implementing water retention measures for sustainable agricultural settings.
Article
Environmental Sciences
Peter Bognar, Aniko Kern, Szilard Pasztor, Peter Steinbach, Janos Lichtenberger
Summary: A study improved a crop yield estimation method by using remote sensing and meteorological data to estimate the yield of corn, winter wheat, sunflower, and rapeseed in Hungary. The differences between the estimated and census data were reduced through meteorological correction.
Editorial Material
Geochemistry & Geophysics
Gyorgy Hetenyi, Laszlo Balazs, Zoltan Barcza, Eszter Bekesi, Erzsebet Gyori, Aniko Kern, Norbert Peter Szabo, Gabor Timar
ACTA GEODAETICA ET GEOPHYSICA
(2022)
Article
Environmental Sciences
Aniko Kern, Zoltan Barcza, Roland Hollos, Edina Birinyi, Hrvoje Marjanovic
Summary: This study presents a method to identify critical climate periods for eight different semi-natural ecosystem categories in Hungary, revealing distinct differences in important climate variables and critical period lengths between different ecosystem categories. Multiple linear models were constructed to quantify the multivariate influence of environmental conditions on vegetation state, providing essential insights into the functioning of different ecosystem types.
Article
Agronomy
Thulfiqar Al-Graiti, Gergely Jakab, Noemi Ujhazy, Anna Vancsik, Nandor Fodor, Tamas Arendas, Balazs Madarasz, Zoltan Barcza, Karoly Marialigeti, Zoltan Szalai
Summary: Dissolved organic matter (DOM) is an important property of soil quality, indicating the storage of organic matter in the soil, which may vary with time. This study found that under cropfield conditions, there were no differences in DOM among fertilization treatments and sampling dates. However, seasonal variations in DOM concentration were observed in the permanent grassland, with higher DOM content in spring, mainly originating from humified, recalcitrant organic matter.
Article
Meteorology & Atmospheric Sciences
Laszlo Haszpra, Zoltan Barcza, Zita Ferenczi, Roland Hollos, Aniko Kern, Natascha Kljun
Summary: Although small rural settlements may seem insignificant individually, their overall presence can greatly contribute to regional or national emissions. This study examines the emissions of a small village in western Hungary, finding that the emissions of CO and CO2 align with expected values, while the emissions of N2O greatly exceed expectations. These findings highlight the potential underestimation of N2O emissions in emission inventories and the need for modifications in emission calculations. Additionally, the study shows that the emissions from the nearby village have minimal influence on the concentration measurements at a regional background monitoring site.
ATMOSPHERIC MEASUREMENT TECHNIQUES
(2022)
Article
Environmental Studies
Masa Zorana Ostrogovic Sever, Zoltan Barcza, Dora Hidy, Aniko Kern, Doroteja Dimoski, Slobodan Miko, Ozren Hasan, Branka Grahovac, Hrvoje Marjanovic
Summary: The study evaluated the suitability of the Biome-BGCMuSo model for assessing SOC changes in Croatia's GHG reporting, finding good performance at the LU level but poorer results at finer stratifications. Further model improvement is needed to evaluate its potential for GHG reporting.
Article
Ecology
Anita Nussbaumer, Arthur Gessler, Sue Benham, Bruno de Cinti, Sophia Etzold, Morten Ingerslev, Frank Jacob, Francois Lebourgeois, Tom Levanic, Hrvoje Marjanovic, Manuel Nicolas, Masa Zorana Ostrogovic Sever, Tibor Priwitzer, Pasi Rautio, Peter Roskams, Tanja G. M. Sanders, Maria Schmitt, Vit Sramek, Anne Thimonier, Liisa Ukonmaanaho, Arne Verstraeten, Lars Vesterdal, Markus Wagner, Peter Waldner, Andreas Rigling
Summary: The research indicates that resource allocation in plants is influenced during mast years, with different species exhibiting varying strategies in response to resource dynamics. European beech accumulated resources before mast years and shifted resources to reproductive tissues during mast years, while oak species showed reduced stem growth after mast years. Leaf carbon, nitrogen, and phosphorus concentrations were affected differently in response to fruit production among species.
FRONTIERS IN FORESTS AND GLOBAL CHANGE
(2021)
Article
Environmental Sciences
Imre Salma, Wanda Then, Pasi Aalto, Veli-Matti Kerminen, Aniko Kern, Zoltan Barcza, Tuukka Petaja, Markku Kulmala
Summary: The study on the occurrence frequency of regional atmospheric new aerosol particle formation and consecutive growth events (f(NPF)) in Budapest from 2008 to 2018 showed that the distribution of NPF events is related to meteorological factors, aerosol properties, and vegetation activity, with significant annual variability. However, there were no clear systematic associations between f(NPF) and other environmental variables, except for H2SO4 and NH3. Additionally, the spring peak in NPF occurrence frequency often coincided with temperature anomalies in vegetated areas.
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2021)