Article
Environmental Sciences
Zhengyang Hou, Keyan Yuan, Goran Stahl, Ronald E. McRoberts, Annika Kangas, Hao Tang, Jingyi Jiang, Jinghui Meng, Qing Xu, Zengyuan Li
Summary: This study proposes a remotely sensed data assimilation procedure, DAMA, to support high-precision multivariate forest inventory. Testing on populations in China and Burkina Faso shows that DAMA estimator can improve inventory precision with considerable efficiency.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Environmental Sciences
Pooja Preetha, Ashraf Al-Hamdan
Summary: This study aims to use satellite remotely sensed data and hydrological modeling to predict the spatiotemporal sediment yields in watershed models. By incorporating dynamic models of crop and cover management and soil erodibility, the algorithm accurately predicts sediment yields and highlights the importance of real-time hydrological modeling with high-quality spatial and temporal data.
Article
Multidisciplinary Sciences
M. Usman Mirza, Chi Xu, Bas van Bavel, Egbert H. van Nes, Marten Scheffer
Summary: Economic inequality is difficult to measure due to lack of reliable household income data worldwide. A study shows that using remotely sensed nighttime light data as a proxy for inequality can help fill this gap. The correlation between light emission and economic thriving suggests that spatial variance of light per person may indicate economic inequality, with a significant relationship found between light-based inequality indicators and existing income inequality estimates.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Environmental Sciences
Dekker Ehlers, Chao Wang, John Coulston, Yulong Zhang, Tamlin Pavelsky, Elizabeth Frankenberg, Curtis Woodcock, Conghe Song
Summary: The majority of the aboveground biomass on the Earth's land surface is stored in forests. However, accurate estimation of forest aboveground biomass (FAGB) remains challenging. This study proposed a new conceptual model using remotely sensed data to map FAGB. The model includes height metrics as the most important variables for estimating FAGB.
Article
Environmental Sciences
Ronald E. McRoberts, Erik Naesset, Juha Heikkinen, Qi Chen, Victor Strimbu, Jessica Esteban, Zhengyang Hou, Francesca Giannetti, Jahangir Mohammadi, Gherardo Chirici
Summary: The model-assisted difference and regression estimators are widely used in forest inventory and remotely sensed data to improve the accuracy of inventory parameter estimates. However, there is inconsistency in the definition of associated terminology and the use of notation. This study aims to establish consistent and operationally useful definitions, bridge the notation gap, and evaluate the impact of sample size, model form, and g-weights on the unbiasedness of regression estimators.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Meteorology & Atmospheric Sciences
Wanshu Nie, Sujay V. Kumar, Christa D. Peters-Lidard, Benjamin F. Zaitchik, Kristi R. Arsenault, Rajat Bindlish, Pang-Wei Liu
Summary: The study shows that assimilating optical sensor-based leaf area index estimates significantly improves the simulation of irrigation water use and associated fluxes. For heavily irrigated areas, assimilation improves the simulation of evaporative fluxes and gross primary production (GPP), leading to increased correlation and reduced bias compared to reference datasets.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2022)
Article
Chemistry, Multidisciplinary
Ling Dai, Guangyun Zhang, Jinqi Gong, Rongting Zhang
Summary: This paper proposes a data-driven method for hyperspectral remotely sensed data, which can autonomously extract key features and interactively learn feature indexes, providing a more flexible and creative framework compared to traditional methods.
APPLIED SCIENCES-BASEL
(2021)
Article
Environmental Sciences
Yun Yang, Martha Anderson, Feng Gao, Jie Xue, Kyle Knipper, Christopher Hain
Summary: Evapotranspiration is important for crop health and water resource management. Fusing satellite data from multiple satellites can provide more continuous estimation of daily ET at field scale. In this study, the ET fusion modeling system was applied to retrieve ET using Landsat and MODIS data, and the results showed improvement in estimating daily field scale ET for all major crop types in the study area compared to the standard method.
Article
Agronomy
Meenakshi Rawat, Vaishali Sharda, Xiaomao Lin, Kraig Roozeboom
Summary: Accurate predictions of crop yield are critically important for food security in the face of changing climate. This study introduced a statistical-based model for forecasting maize yields and compared its performance with a process-based model. The results showed that the statistical model had a stronger association with observed yields and predicted less severe impacts of climate change on maize yield.
Article
Remote Sensing
Alexandra Gemitzi, Paschalis Dalampakis, George Falalakis
Summary: The research aims to identify areas with geothermal anomalies by analyzing increased Land Surface Temperature (LST) values, which could potentially indicate suitable locations for geothermal field development. By utilizing Landsat 8 derived LST time series and considering various land cover types and altitudes, the study validates the hypothesis that areas with higher geothermal potential may exhibit distinctively increased LST values compared to other areas.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Agronomy
Lisheng Song, Sayed M. Bateni, Yanhao Xu, Tongren Xu, Xinlei He, Seo Jin Ki, Shaomin Liu, Minguo Ma, Yang Yang
Summary: This study compared three commonly used ET reconstruction methods under cloudy conditions, finding that both the LSTR and VDA approaches slightly outperform the EToF approach. The errors in reconstructed ET values increase with the number of consecutive cloudy days.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Environmental Sciences
Yibo Li, Zhentao Cong, Dawen Yang
Summary: In this study, the ESTKF assimilation algorithm was used to improve river flow simulation by assimilating remotely sensed soil moisture from SMAP into a hydrological model. The advantages and added value of ESTKF in the hydrological model were discussed compared to EnKF. By adjusting the spatial resolution and employing observation operators and observation localization, ESTKF effectively improved soil moisture and reduced the relative error of flood volume.
Article
Agronomy
Vikalp Mishra, James F. Cruise, John R. Mecikalski
Summary: Using satellite data assimilation technology to assimilate satellite-driven soil moisture profiles into crop models can significantly improve the accuracy of crop yield estimations while reducing the reliance on field management information.
EUROPEAN JOURNAL OF AGRONOMY
(2021)
Article
Environmental Sciences
Jash R. Parekh, Ate Poortinga, Biplov Bhandari, Timothy Mayer, David Saah, Farrukh Chishtie
Summary: The paper utilizes deep learning neural networks in combination with remote sensing data and statistical indices to predict impervious surfaces, overcoming the need for manual labeling of data. Experimental results show that a specific model performs the best among all tested models.
Article
Geochemistry & Geophysics
Alexandre Hippert-Ferrer, Yajing Yan, Philippe Bolon, Romain Millan
Summary: Missing data can impede the investigation of remotely sensed displacement measurement. A data-driven spatiotemporal gap-filling method was proposed to reconstruct incomplete displacement data, showing improved accuracy in challenging cases.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2021)
Article
Geosciences, Multidisciplinary
Sourav Mukherjee, Ashok Kumar Mishra
Summary: The study reveals a significant increase in drought-related heatwave frequency, duration, and severity in recent periods, primarily concentrated in the Northern Hemisphere.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Geosciences, Multidisciplinary
Somnath Mondal, Ashok Kumar Mishra
Summary: In this study, we investigated the network structure and propagation characteristics of warm period heatwaves over the Conterminous United States. By applying Event Synchronization metrics and network coefficients, we were able to identify the source and sink regions responsible for heatwave propagations and capture the spatial dependency between heatwave events occurring at different locations. The study revealed the influence of air mass transport and topographic characteristics on the synchronization structure and propagation patterns of heatwaves, providing important insights for heatwave forecasting.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Saleh H. Alhathloul, Abdul A. Khan, Ashok K. Mishra
Summary: The study found that most locations in Saudi Arabia are experiencing a significant decrease in horizontal visibility, especially in certain seasons. Some stations in the Northeast region showed the most severe visibility deterioration and exhibited multiple abrupt declines in the time series.
THEORETICAL AND APPLIED CLIMATOLOGY
(2021)
Article
Geosciences, Multidisciplinary
Sourav Mukherjee, Ashok Kumar Mishra
Summary: This study calculated the characteristics of flash droughts (FDs) using root-zone soil-moisture data from 1980 to 2018 and developed a novel multivariate FD indicator for mapping global FD hotspot regions. The potential influence of climate characteristics and land-climate feedbacks on the evolution of the indicator was investigated. The results show that precipitation is the primary driver of FD evolution, while the impact of temperature, vapor pressure deficit, and land-climate interaction varies by climate divisions.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Engineering, Civil
Sourav Mukherjee, Ashok Kumar Mishra, Moetasim Ashfaq, Shih-Chieh Kao
Summary: The study demonstrates the increasing impacts of climate change on compound drought and heatwave events globally, and the potential for reducing the likelihood of extreme weather events by implementing measures such as limiting global warming conditions. This is particularly important for the most vulnerable climate regions where the effects of anthropogenic warming are most pronounced.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Ramprasad Yaddanapudi, Ashok K. Mishra
Summary: The study investigated the potential impact of drought, COVID-19, and their compound effect on three major crop yields in 2020. Although the drought was not extreme, crop yields in 2020 were lower than historical values, highlighting the potential role of COVID-19 in reducing yields. The compound effect of drought and COVID-19 varied by crop and region.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Editorial Material
Environmental Sciences
Jerad Bales, Aditi Bhaskar, Greg Characklis, Alejandro Flores, Troy Gilmore, Jesus Gomez-Velez, Gordon Grant, Anne Jefferson, Safeeq Khan, Sarah Ledford, Steve Loheide, Gretchen Miller, Ashok Mishra, Anne Nolin, Jeanne VanBriesen, Jay Zarnetske, Margaret Zimmer, Adam S. Ward
Summary: The article discusses the impact of COVID-19 on hydrologic science research and provides guidance on considering these impacts in hiring and promotion stages.
WATER RESOURCES RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
Mohammadali Alijanian, Gholam Reza Rakhshandehroo, Maryam Dehghani, Ashok Mishra
Summary: The lack of adequate in situ rainfall data in many parts of the world makes satellite rainfall estimates crucial for monitoring droughts. However, applying satellite rainfall estimates for drought forecasting is limited due to underlying uncertainties. In this study, two long-term satellite rainfall estimates were evaluated for drought forecasting in the Zayandehrood basin in Iran, with MSWEP data showing slightly better performance compared to PERSIANN-CDR.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Review
Engineering, Civil
Ashok Mishra, Sourav Mukherjee, Bruno Merz, Vijay P. Singh, Daniel B. Wright, Gabriele Villarini, Subir Paul, D. Nagesh Kumar, C. Prakash Khedun, Dev Niyogi, Guy Schumann, Jery R. Stedinger
Summary: This review provides a comprehensive overview of current flood research, challenges, and future directions, emphasizing the increased flood risk in future urban systems due to continued climate change and land-use intensification. More work is needed for accurate urban flood prediction, quantifying the socioeconomic impacts of floods, and developing mitigation strategies. Integration of multiscale models, stakeholder input, and social and citizen science input is crucial to bridge the gap between model capabilities and end-user needs for flood monitoring, mapping, and dissemination. Additionally, effort is needed for downscaled, ensemble scenarios, data assimilation approaches, and enhanced capabilities for modeling compound hazards and reducing social vulnerability and impacts. Transdisciplinary research between science, policymakers, and stakeholders is essential to reduce flood risk and social vulnerability in the face of dynamic and complex interactions between climate, societal change, watershed processes, and human factors.
JOURNAL OF HYDROLOGIC ENGINEERING
(2022)
Article
Engineering, Civil
Anoop Valiya Veettil, Ashok K. Mishra, Timothy R. Green
Summary: This study provides an overview of water security assessment by focusing on various water security indicators and the concept of water footprint. The application of physically-based hydrological models can offer valuable insights into the impact of climate and anthropogenic activities on water security at different scales.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Goutam Konapala, Somnath Mondal, Ashok Mishra
Summary: This study introduces a novel framework based on network theory to explore the three-dimensional structure of drought evolution, and applies it to analyze droughts in North America using the Standardized Precipitation Evaporation Index. The results identify major source regions for drought propagation in North America, including the West coast, Texas coastal region, and Southeastern Arkansas.
WATER RESOURCES RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Ramprasad Yaddanapudi, Ashok Mishra, Whitney Huang, Hemant Chowdhary
Summary: Compound wind and precipitation (CWP) extreme events can result in increased socio-economic loss in coastal regions. This study found that climate change is expected to significantly increase precipitation extremes compared to wind extremes, leading to an increase in the likelihood of CWP events in coastal regions of the North Atlantic, East Asia, and South Asia.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Environmental Sciences
Sourav Mukherjee, Ashok Kumar Mishra
Summary: Flash drought (FD) has received significant attention, but the differences in FD definitions and methodologies, as well as the choice of data sources, highlight the uncertainties in global FD characteristics. This study compares two key FD indicators and finds significant disparities across different climate regions. The results highlight the spatial drivers of FD frequency, intensity, and their evolution, potentially related to background aridity. Changes in precipitation, temperature, vapor pressure deficit, and soil-temperature coupling play important roles in the evolution of FD. Overall, the results emphasize the necessity of nuanced methodologies for deriving FD indicators that can couple rapid soil-moisture depletion rates with changes in atmospheric evaporative demand, which has direct implications for vegetation health.
Article
Multidisciplinary Sciences
Sourav Mukherjee, Ashok Kumar Mishra, Jakob Zscheischler, Dara Entekhabi
Summary: Using system dynamics, this study explores the interactions between dry and hot extremes and quantifies the magnitude, temporal scale, and physical mechanisms of the cascade effects of drying on heating and vice versa. The study finds that locations with exceptionally strong cascade effects generally coincide for both drying-on-heating and heating-on-drying extremes. However, these cascade effects differ in their timescale, hydroclimatic drivers, and sensitivity to soil-plant-atmosphere continuum and background aridity.
NATURE COMMUNICATIONS
(2023)
Article
Multidisciplinary Sciences
Somnath Mondal, Ashok K. Mishra, Ruby Leung, Benjamin Cook
Summary: This study utilizes Complex Network analysis to investigate the topological characteristics of global drought events, revealing a highly heterogeneous connectivity structure among drought hotspot regions. The co-occurrence of droughts in multiple continents suggests the possibility of simultaneous large-scale droughts.
NATURE COMMUNICATIONS
(2023)
