Article
Environmental Sciences
Nandita B. Basu, J. Dony, K. J. Van Meter, Samuel J. Johnston, Anita T. Layton
Summary: Excess nutrient inputs from agricultural and urban sources have led to eutrophication and algal blooms in the Great Lakes Basin. Using a random forest machine learning model, we found that land use and management, including agricultural and urban land, tile drainage, and wetland density, are important predictors of nutrient concentrations in the basin. The study highlights the importance of livestock and drainage management, as well as wetland restoration, in addressing eutrophication in intensively managed landscapes.
Article
Remote Sensing
Joanne Hall, Fernanda Argueta, Louis Giglio
Summary: The study finds that small fires are often underestimated in agricultural areas within global burned area and fire emission inventories. Current validation methods designed for larger wildfires are not suitable for small fires. An alternative approach using detailed field-level burned area reference maps was used to validate two global burned area products, revealing high omission and commission error rates.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2021)
Article
Geosciences, Multidisciplinary
Aiwen Li, Chengji Li, Yuanyuan Zhang, Qian Deng, Hongyan Fang, Bin Zhao, Min Ran, Liangying Song, Jingling Xue, Qi Tao, Rong Huang, Yiding Li, Wei Zhou, Jingting Wang, John P. Wilson, Qiquan Li
Summary: This study analyzed the influencing factors of cropland soil acidification using the example of cropland in the Sichuan Basin of China. The results showed that precipitation was the main factor causing soil acidification. Additionally, soil pH decrease was primarily buffered by soil carbonates and secondarily by soil CEC, with soil carbonates becoming the main buffering agent when their content exceeded 36.76 g kg(-1). These findings emphasize the importance of formulating precipitation-based optimizing agronomic management practices to prevent or mitigate cropland soil acidification.
Article
Water Resources
Daniel Wonde Mebrie, Tewodros T. Assefa, Abdu Y. Yimam, Sisay A. Belay
Summary: Proper estimation of evapotranspiration is important for the management of irrigation systems. However, the lack of climatic stations in Ethiopia makes it difficult to estimate reference evapotranspiration (ETo) and crop coefficient (Kc) spatially. This study aimed to estimate crop evapotranspiration (ETc) by deriving crop coefficients using remote sensing products. The correlation between MODIS potential evapotranspiration and Penman-Monteith estimates was good, and a strong correlation was found between Sentinel-based NDVI and FAO crop coefficient. Calibrating and integrating MODIS with Sentinel 2B can provide a feasible approach for estimating Kc and ETc. The findings highlight the importance of proper estimation of crop water needs for better productivity in the region.
APPLIED WATER SCIENCE
(2023)
Article
Remote Sensing
Oumayma Bounouh, Houcine Essid, Ana Maria Tarquis, Imed Riadh Farah
Summary: Different studies on predicting future green cover changes exist with various levels of success, each focusing on a different story about which model is more appropriate. The experimentation of forecasting vegetation indices employing two univariate time series models and new accuracy metrics is discussed, highlighting the importance of integration of the decomposition step and the performance of different forecasting models.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Green & Sustainable Science & Technology
Mohammed Mustafa Alee, Ali Danandeh Mehr, Ozgun Akdegirmen, Vahid Nourani
Summary: In this article, meteorological and agricultural droughts in Erbil province, Iraq, were evaluated using remote sensing data and satellite products. Long-term (2000-2022) Standardized Precipitation Evapotranspiration index (SPEI) at 1- and 3-month accumulation periods (SPEI-1 and SPEI-3) and Normalized Difference Vegetation Index (NDVI) were utilized. The study found an increasing trend in extreme drought events in the province, as well as an increasing NDVI series with more diversity in vegetation coverage in the northern part. The relationship between SPEI and MODIS-NDVI was positive but insignificant.
Article
Green & Sustainable Science & Technology
Joshua T. Fergen, Ryan D. Bergstrom
Summary: This study examines the spatial patterns of social vulnerability in the Great Lakes Basin region of North America, mapping four themes of vulnerability and comparing scores between sub-basins. Results show clusters of high vulnerability in Northern and Central Michigan, as well as low vulnerability in Eastern Wisconsin, with outliers across the region. Urban-rural differences in vulnerability patterns suggest the need for tailored policies to address unique social vulnerabilities.
Article
Engineering, Environmental
Jiafeng Xu, Huaiqing Liu, Jie Lin, Heng Lyu, Xianzhang Dong, Yunmei Li, Honglei Guo, Huaijing Wang
Summary: This study used a semianalytical algorithm to estimate the ratio of chlorophyll a to total suspended solids (Chla/TSS) in the Great Lakes based on MODIS images. The long-term spatial and temporal characteristics of Chla/TSS were obtained from 2000 to 2020. Climate and hydrological factors were found to dominate the variations in Chla/TSS, and significantly low values of Chla/TSS in spring had the potential to predict the occurrence of blooms in Lake Erie.
Article
Environmental Sciences
Xiaofei He, Michelle Raymond, Nathaniel LaHue, Carrie Tomasallo, Henry Anderson, Jonathan Meiman
Summary: This study investigated the fish consumption and advisory awareness among Great Lakes basin residents. The results showed that while half of the respondents were aware of state or EPA/FDA advisories, minorities and women were less aware of fish advisories. Improved outreach strategies are needed to inform them about safe fish-consumption guidelines.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Agronomy
Shouzheng Jiang, Jie Wu, Zhihui Wang, Ziling He, Mingjun Wang, Weiwei Yao, Yu Feng
Summary: This study quantified the temporal-spatial variations of evapotranspiration (ET), gross primary productivity (GPP), and ecosystem-scale water use efficiency (WUE) in paddy (PF) and non-paddy field (NPF) over China from 2000 to 2021. The results showed that the annual ET in both PF and NPF presented an increasing trend from northwest to southeast of China. The annual GPP and WUE also exhibited spatial and temporal variations.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Environmental Sciences
Simon Measho, Fadong Li, Gang Chen, Hubert Hirwa
Summary: This study analyzes annual and seasonal cropland trends and variations in North-East Africa using Normalized Vegetation Difference Index (NDVI) data from 2001 to 2020. The results show an increase in annual cropland NDVI and significant positive changes in seasonal cropland NDVI in the boreal autumn season. The findings highlight the importance of understanding these changes to support climate change mitigation and sustainable agriculture at national and regional scales.
JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES
(2023)
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
Meteorology & Atmospheric Sciences
Manoochehr Shirzaei, Mostafa Khoshmanesh, Chandrakanta Ojha, Susanna Werth, Hannah Kerner, Grace Carlson, Sonam Futi Sherpa, Guang Zhai, Jui-Chi Lee
Summary: This study used satellite data to investigate the impact of the 2019 spring floods in the U.S. Midwest on crop loss, revealing an association between flooded counties and delayed plant growth. There is also a potential increase in crop loss due to increased stream discharge frequency and magnitude across the Midwest.
WEATHER AND CLIMATE EXTREMES
(2021)
Article
Meteorology & Atmospheric Sciences
Zachary J. Suriano, Daniel J. Leathers
Summary: Runoff from snow cover ablation plays a dominant role in regional hydrology in the North American Great Lakes basin, with the likelihood and magnitude of ablation events influenced by the presence of snow cover and the atmospheric environment. In the face of global climate change, the atmospheric environments conducive to ablation are becoming more suitable, leading to an increase in the frequency of ablation events in the basin.
THEORETICAL AND APPLIED CLIMATOLOGY
(2021)
Article
Environmental Sciences
Jacob T. Stid, Siddharth Shukla, Annick Anctil, Anthony D. Kendall, Jeremy Rapp, David W. Hyndman
Summary: Understanding the capacity, practices, and preferences of co-located solar photovoltaic (PV) installations in agriculture is crucial for promoting a future where solar power and agriculture can coexist while minimizing impacts on food production. A study conducted in California's Central Valley analyzed satellite imagery and found sub-optimal installation practices and spatial field placement of PV arrays in agricultural areas. The study also revealed that commodity crops, such as pastureland, were the dominant crops converted for solar installations, although specialty crops, like orchards, also contributed significantly.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Geography, Physical
Brandon E. Cooper, Randel L. Dymond, Yang Shao
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
(2017)
Article
Geography, Physical
Carrie K. Jensen, Kevin J. McGuire, Yang Shao, C. Andrew Dollof
EARTH SURFACE PROCESSES AND LANDFORMS
(2018)
Article
Engineering, Electrical & Electronic
Gregory N. Taff, Yang Shao, Jie Ren, Ruoyu Zhang
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2018)
Article
Environmental Sciences
Erin E. Poor, Yang Shao, Marcella J. Kelly
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2019)
Article
Environmental Sciences
Hoa Thi Tran, James B. Campbell, Randolph H. Wynne, Yang Shao, Son Viet Phan
Article
Geography, Physical
Heng Wan, Yang Shao, James B. Campbell, Xinwei Deng
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING
(2019)
Article
Environmental Sciences
Callie B. Lambert, Lynn M. Resleri, Yang Shao, David R. Butler
JOURNAL OF MOUNTAIN SCIENCE
(2020)
Article
Geography, Physical
Xiaoxiao Yan, Jing Li, Yang Shao, Zhenqi Hu, Zhen Yang, Shouqiang Yin, Ivyuan Cui
GISCIENCE & REMOTE SENSING
(2020)
Article
Biochemistry & Molecular Biology
D. J. Weiss, A. Nelson, C. A. Vargas-Ruiz, K. Gligoric, S. Bavadekar, E. Gabrilovich, A. Bertozzi-Villa, J. Rozier, H. S. Gibson, T. Shekel, C. Kamath, A. Lieber, K. Schulman, Y. Shao, V. Qarkaxhija, A. K. Nandi, S. H. Keddie, S. Rumisha, P. Amratia, R. Arambepola, E. G. Chestnutt, J. J. Millar, T. L. Symons, E. Cameron, K. E. Battle, S. Bhatt, P. W. Gething
Article
Environmental Sciences
John S. Iiames, Ellen Cooter, Andrew N. Pilant, Yang Shao
Article
Health Care Sciences & Services
Shreejana Bhattarai, Korine N. Kolivras, Kabita Ghimire, Yang Shao
Article
Environmental Sciences
Yang Shao, Austin J. Cooner, Stephen J. Walsh
Summary: This study demonstrates the potential of using two DCNNs (U-Net and VGG16) for high-resolution urban mapping, achieving good overall accuracy through OBIA methods and spatial testing. Further enhancement of mapping accuracy could be achieved with robust segmentation algorithms and improved quantity/quality of training samples.
Article
Geography, Physical
Jie Ren, Yang Shao, Heng Wan, Yanhua Xie, Adam Campos
Summary: This study mapped irrigated and non-irrigated corn at 30 m resolution for the state of Nebraska using a two-step multi-temporal image classification of MODIS and Landsat ARD. The proposed two-step analytical method has a high potential for automated annual irrigation mapping at 30 m spatial resolution, especially for the arid and semi-arid western U.S., providing clear field boundaries and irrigation frequency information.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Ecology
Heng Wan, Daniel McLaughlin, Yang Shao, Brian van Eerden, Shyam Ranganathan, Xinwei Deng
Summary: Urban forests have higher evapotranspiration rates compared to other urban land covers, playing an important role in stormwater flood reduction. Wetland and upland forests have significantly higher ET rates than urban areas, with wetland forests contributing 40% of total landscape ET despite covering only 20% of the area.
LANDSCAPE AND URBAN PLANNING
(2021)
Article
Environmental Sciences
Allison Mitchell, Anamaria Bukvic, Yang Shao, Jennifer L. Irish, Daniel L. McLaughlin
Summary: The U.S. Mid-Atlantic coastal region, particularly Hampton Roads, Virginia, is experiencing higher rates of sea level rise (SLR) due to land subsidence. Current adaptation plans for coastal flooding are developed at the municipal level, lacking consideration of flooding beyond administrative boundaries. This study evaluates flooding impacts at the watershed scale in Hampton Roads, identifying at-risk areas and exploring the implications on municipalities, land uses, and land covers. The findings highlight the need for collaborative adaptation planning across hydrologically influenced spatial scales.
ENVIRONMENTAL MANAGEMENT
(2023)