Article
Environmental Sciences
Ali Karbalaye Ghorbanpour, Isaya Kisekka, Abbas Afshar, Tim Hessels, Mahdi Taraghi, Behzad Hessari, Mohammad J. Tourian, Zheng Duan
Summary: Scarce water resources present a major hindrance to ensuring food security. This study utilizes satellite imagery and a cloud-based model to analyze crop water productivity at a regional scale and uncover the potential and limitations of the agricultural sector in the Lake Urmia Basin.
Article
Geography, Physical
Zhidan Wen, Qiang Wang, Ge Liu, Pierre-Andre Jacinthe, Xiang Wang, Lili Lyu, Hui Tao, Yue Ma, Hongtao Duan, Yingxin Shang, Baohua Zhang, Yunxia Du, Jia Du, Sijia Li, Shuai Cheng, Kaishan Song
Summary: This study explores the feasibility of mapping Total Suspended Matter (TSM) in lakes across China using Landsat surface reflectance product and develops regression and random forest models to predict TSM concentration. The results show the stability and spatial transferability of the models, providing important tools for TSM monitoring and water resource management in lakes.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Maria Pedreros-Guarda, Rodrigo Abarca-del-Rio, Karen Escalona, Ignacio Garcia, Oscar Parra
Summary: Monitoring lake surface water temperature (LSWT) from a long-term perspective is crucial, and various methods have been developed to extract LSWT fields from satellite imagery. This study tested and implemented six automated methods in two urban lagoons in South-Central Chile, demonstrating their utility for obtaining LSWT in specific lakes and reservoirs. The methods successfully described the seasonal variation of LSWT and provided valuable insights for understanding temperature trends in medium and small-sized water bodies.
Article
Geography
Ansa Shafi, Shengbo Chen, Mirza Waleed, Muhammad Sajjad
Summary: This study uses Google Earth Engine, earth observation data, and a machine learning-based Random Forest algorithm to evaluate spatial-temporal heterogeneities in wetlands in Pakistan between 1990 and 2020. The results show an increase in wetlands areas over the last 30 years. These findings provide important insights for the conservation and sustainable management of wetlands.
Article
Environmental Sciences
S. Mohammad Mirmazloumi, Mohammad Kakooei, Farzane Mohseni, Arsalan Ghorbanian, Meisam Amani, Michele Crosetto, Oriol Monserrat
Summary: This study proposes a workflow to generate a high-resolution LULC map of Europe using satellite images and survey data. By employing object-based segmentation algorithm, Artificial Neural Network, and rule-based post-processing steps, the generated map exhibits high accuracy in classification and identification of LULC classes.
Article
Environmental Sciences
Thuy Thi Phuong Vu, Tien Dat Pham, Neil Saintilan, Andrew Skidmore, Hung Viet Luu, Quang Hien Vu, Nga Nhu Le, Huu Quang Nguyen, Bunkei Matsushita
Summary: A pixel-based algorithm and the Google Earth Engine platform were used to monitor the dynamics of mangroves in three provinces along the northern coast of Vietnam from 1990 to 2022. The study found that the mangrove area in these provinces showed fluctuations over time, with an overall increase in recent years. The restoration programs and policies implemented by the Vietnamese government and local authorities were identified as key drivers of this increase.
Article
Environmental Sciences
Manoranjan Mishra, Celso Augusto Guimaraes Santos, Thiago Victor Medeiros do Nascimento, Manoj Kumar Dash, Richarde Marques da Silva, Dipika Kar, Tamoghna Acharyya
Summary: The study revealed that mining activities have contributed significantly to forest cover loss in Odisha State, with Nabarangpur, Puri, Kendrapara, and Kalahandi districts experiencing the highest losses. Rayagada and Koraput were identified as the top two districts with the most severe forest cover loss.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Marine & Freshwater Biology
Luis Lizcano-Sandoval, Christopher Anastasiou, Enrique Montes, Gary Raulerson, Edward Sherwood, Frank E. Muller-Karger
Summary: This study used multiple satellite imagery products to estimate seagrass areal cover in West-Central Florida over almost 30 years. The results showed an overall increase in seagrass cover in the region, especially after improvements in water quality. This study provides important tools for resource managers to assess seagrass cover.
ESTUARINE COASTAL AND SHELF SCIENCE
(2022)
Article
Environmental Sciences
Sharyn M. Hickey, Ben Radford
Summary: Mangroves, an important ecosystem, are facing significant impacts from human activities and climate change. Tidally submerged forests and mangroves in arid regions are particularly vulnerable. The spatial extent and impacts of these mangroves are poorly understood due to detection challenges with remote sensing models. This study introduced a new method that improved the detectability of these mangroves and applied it to the northwest coast of Australia. The method was able to detect previously undocumented mangrove areas and increased the accuracy of the models.
Article
Environmental Sciences
Lizhi Liu, Qiuliang Zhang, Ying Guo, Erxue Chen, Zengyuan Li, Yu Li, Bing Wang, Ana Ri
Summary: This study proposes a cloud-enabled deep-learning approach using long-time series Landsat remote sensing images to map the distribution and dynamics of coniferous forests in the northwest of Liaoning, China over 35 years (1985-2020) by combining Google Earth Engine (GEE) and U-2-Net. The results show that the proposed approach achieves high performance in coniferous forest extraction, with satisfactory precision in predicting different years, and the distribution of coniferous forests extracted by U-2-Net is most similar to the actual coniferous forests. The area of coniferous forests in Northwestern Liaoning has shown an upward trend in the past 35 years.
Article
Geography, Physical
Yongjing Mao, Daniel L. Harris, Zunyi Xie, Stuart Phinn
Summary: The proposed new shoreline change mapping workflow utilizing Landsat archive and Google Earth Engine is more efficient and suitable for various coastal landforms. The approach showed high mapping accuracy and better performance at tide-dominated coasts compared to past methods. The global application of the method identified hotspots of shoreline erosion and accretion, highlighting potential threats to coastal zones.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2021)
Article
Geography, Physical
Jie Zhou, Massimo Menenti, Li Jia, Bo Gao, Feng Zhao, Yilin Cui, Xuqian Xiong, Xuan Liu, Dengchao Li
Summary: This study introduces an open-source software package called 'HANTS-GEE', which implements the Harmonic ANalysis of Time Series (HANTS) algorithm on the Google Earth Engine (GEE) platform. The HANTS-GEE provides scalable reconstruction services with consistent results for most terrestrial vegetated sites, compared to PC-based HANTS implementation.
INTERNATIONAL JOURNAL OF DIGITAL EARTH
(2023)
Article
Environmental Sciences
Dhiraj Kumar Singh, Kamal Kant Singh, George P. Petropoulos, Priestly Shan Boaz, Prince Jain, Sartajvir Singh, Dileep Kumar Gupta, Vishakha Sood
Summary: The mountain systems of the Himalayan regions are changing rapidly due to climatic change, and this study focuses on investigating the spatiotemporal variability of vegetation and its interactions with snow-hydroclimatic factors in the Indian Western Himalaya ecosystem. The findings can aid in the protection and management of the natural environment and water resources in the HP Basin and other high-mountain regions of the Himalayas.
Article
Computer Science, Interdisciplinary Applications
Ryan M. Riggs, George H. Allen, Cedric H. David, Peirong Lin, Ming Pan, Xiao Yang, Colin Gleason
Summary: RODEO algorithm, validated with 456 gauges, accurately estimates river discharge and characterizes the uncertainty of RSQ estimates, enabling data assimilation into hydrologic models.
ENVIRONMENTAL MODELLING & SOFTWARE
(2022)
Article
Environmental Sciences
Jun Wei, Yuanlai Cui, Wanqi Luo, Yufeng Luo
Summary: Paddy rice cropping systems in China have undergone significant changes, with many double-cropping paddy rice fields being converted to single-cropping paddy rice or other crops. This study proposes a method based on Landsat data to effectively detect single and double paddy rice and their cropping intensity.
Article
Biodiversity Conservation
Tyler A. Hallman, W. Douglas Robinson, Jenna R. Curtis, Edward R. Alverson
Summary: The study used a hindcasting framework to estimate distribution and abundance change of 7 bird species in the Willamette Valley, Oregon, demonstrating significant declines in White-breasted Nuthatch and Western Meadowlark populations by 93% and 97% since the 1850s. Despite steep regional declines since the 1960s, five other species showed nearly stable or increasing populations. The historically based conservation targets developed from these estimates can inform current management practices.
CONSERVATION BIOLOGY
(2021)
Article
Multidisciplinary Sciences
Jesse A. Laney, Tyler A. Hallman, Jenna R. Curtis, W. Douglas Robinson
Summary: The study investigated the draw and decay patterns of birders towards rare bird discoveries, revealing that birder effort increases after rarity events but gradually declines over time, with geography and time playing significant roles in attraction. The results did not support the social feedback loop hypothesis.
Article
Ecology
Allyson K. Jackson, Collin A. Eagles-Smith, W. Douglas Robinson
Summary: Cross-ecosystem subsidies play a crucial role in transferring nutrients between ecosystems. This study focuses on the reliance of riparian predators on aquatic prey sources and the correlation between aquatic prey sources and mercury concentrations in arachnids and songbirds. Results show that arachnid families and songbird species vary in their dependency on aquatic prey sources, with a positive correlation between the amount of aquatic prey in their diet and their mercury concentrations. The higher reliance on aquatic prey sources early in the season for songbirds may lead to elevated mercury exposure, potentially impacting their breeding and development.
ECOLOGY AND EVOLUTION
(2021)
Article
Zoology
Ashley W. Poust, Laura Bogar, W. Douglas Robinson, Geoffrey Poole
Summary: Clearly defining the Rules of Life has always been an attractive yet challenging prospect for biologists. This paper explores the interaction of constraints, mechanisms, and requirements, providing a conceptual framework for progress in identifying these rules.
INTEGRATIVE AND COMPARATIVE BIOLOGY
(2022)
Article
Biodiversity Conservation
K. Grace Demezas, W. Douglas Robinson
Summary: The study found that domestic cats mainly prey on commonly near-ground-dwelling bird species, especially in urban environments. Most birds rescued from cats were in direct proportion to their regional abundance, but there was a lack of common species weighing less than 70 g, likely due to sampling bias.
Article
Ecology
Kelsey Condell, W. Douglas Robinson, Randall P. Moore, Bryan Rourke
Summary: This study found a strong positive relationship between myoglobin concentration in the pectoralis muscles and average overwater flight distance, providing a mechanism to predict species at conservation risk in fragmented landscapes.
Article
Ecology
Tyler A. Hallman, Jerome Guelat, Sylvain Antoniazza, Marc Kery, Thomas Sattler
Summary: Global change in climate and land use has diverse effects on the geographic and elevational distribution of European birds. Some species show upslope shifts, while others show downslope shifts, and species traits are associated with different patterns of elevation change.
Article
Biodiversity Conservation
W. Douglas Robinson, Jessica Greer, Juliana Masseloux, Tyler A. Hallman, Jenna R. Curtis
Summary: This study investigates the decline in Evening Grosbeak populations over the past four decades. The results show a significant decrease in population numbers, consistent with previous bird feeder and breeding bird surveys conducted in North America. Factors such as disease outbreaks and decreased forest structural diversity may contribute to the decline. Further surveys are needed to monitor the population of this charismatic species.
Article
Environmental Sciences
Ben M. Roberts-Pierel, Peter B. Kirchner, John B. Kilbride, Robert E. Kennedy
Summary: This study addresses the limitations of traditional methods for mapping glacier change by developing a novel deep-learning-based approach. The researchers successfully created a record of glacier change in Alaska for over three decades using this method. The results show that the deep learning model can accurately capture the changes in glacier coverage.
Article
Biodiversity Conservation
Nolan M. Clements, W. Douglas Robinson
Summary: This study re-surveyed winter forest bird communities in the Pacific Northwest region of the USA to evaluate long-term changes in bird populations. The findings revealed fluctuations in bird populations during winter, providing important baseline data for future research.
BIODIVERSITY DATA JOURNAL
(2022)
